International Journal of Logistics Systems and Management (162 papers in press)
Personal relationships and Agency Conflicts: Case of Buying and Supplying firms in Australia
by ATIF BUTT
Abstract: Personal relationships (i.e. friendships) have been the subject of a great deal of research in the business discipline, with most of the literature concentrating on either positive or negative firm-level results from such interactions. Scientific research, however, has yet to resolve the conflicts that occur between managers and their respective firms when there is a personal relationship between managers of buying and supplying firms in the supply chain. This paper addresses this important gap in supply chain literature. The research is qualitative in nature using the phenomenological approach for exploratory purposes. Overall, 30 semi-structured interviews are conducted with senior managers of purchasing and sourcing firms from Australia's manufacturing and service sector. Results from this study show that personal relationships between buying and supplying managers develop five different conflicts between managers and their respective firms with the potential to generate negative firm-level outcomes.
Keywords: behavioural supply chain management; supplier-buyer relationship; personal relationships; qualitative data analysis.
Personal Relationships and Supply Chain Communication: An Exploratory Case Study of Buyers and Suppliers of Logistics Service Provider
by ATIF BUTT
Abstract: Personal relationships have been the subject of much research in supply chains, with most studies suggesting that these relationships have a positive effect on supply chain communication. Nevertheless, it is important to realize that a lack of a personal relationship will adversely affect the communication process between the individuals of supply chain member firms. This research fills this important gap in supply chain communication literature. As there is limited research in this field and qualitative approaches are considered ideal for evaluating emerging research phenomena, a case study approach is employed. Overall, 20 semi-structured interviews with senior managers from 10 different firms engaged in the process of buying and selling logistics services are undertaken. The results show that the absence of a personal relationship between buyers and suppliers of logistics service providers negatively affects the communication process between the managers of focal firms in five distinct ways. The study concludes by discussing its implications for theory and practice, alongside limitations and future research directions.
Keywords: Behavioral supply-chain management; buyer-supplier relationships; personal relationships.
Study and Analysis of Supply Chain Strategic Drivers for Business Value Creation in Battery Industry
by Sandip Pradhan, Siddhartha Bhattacharya, Radha Tamal Goswami
Abstract: This empirical research begins with the identification of strategic drivers based
This empirical research begins with the identification of strategic drivers based on extensive review and analysis of the supply chain management (SCM) articles. An empirical survey and analysis is done on the primary data collected from industry professionals using statistical tools to identify the key strategic drivers, which will help to create higher business value. The aim of this research article is three-pronged first identifying the key strategic drivers from literature review, secondly conduct an empirical survey on identified drivers. Finally, using rank analysis to classify into a priority hierarchy of vital, essential and desirable for adoption in the battery industry. This study helps decision makers optimise time, energy and resources to formulate relevant SCM strategy with the identified critical success factors towards successful SCM. This paper makes adequate preparation for future research to decide the right set of strategic drivers in SCM for academicians and researchers.
Keywords: Battery Industry; Business Value; Rank Analysis; Supply Chain Management (SCM); Strategic Drivers.
Order Penetration point-based supply chain Performance Optimization for SMEs (OPPO)
by Ganda Boonsothonsatit, Poti Chaopaisarn
Abstract: This paper aims to develop order penetration point-based supply chain performance optimization for SMEs (OPPO). The OPPO supports identifying critical performance measures and their root-causes, figuring out their intricate interrelations, and optimizing their conflicts in consideration of their relative preferences. It provides the best-fitted solution for Pareto-optimal results. The OPPO development covered nine performance measures which were causally linked for identifying a few of critical performance measures and their root-causes. Their conflicts in consideration of their relative preferences were optimized using weighted max-min fuzzy goal programming (WMM-FGP) for providing Pareto optimality. As a result, supply chain cost and customer lead time were identified as critical performance measures. Their Pareto optimality in consideration of their relative preferences suggests the best-fitted product lot-size and position of order penetration point (OPP).
Keywords: Supply chain performance measurement; Order penetration point; Optimization; Small and medium-sized enterprises.
Modelling of Empty Containers Repositioning Problem
by Hop Nguyen, Trang Luong
Abstract: This paper deals with the problem of positioning empty containers in a region including a port with multiple overseas ports and inland depots. A shipping line is required to satisfy demand of empty containers from both regional customers and foreign branches of the same company. Demand and returning containers from both customers and overseas ports per period of time are assumed to be serially-correlated and dependent random variables. We addressed completely integrated models that include both transportation and inventory control for repositioning empty containers. First, a mathematical model is established for current operations including four network elements which are overseas ports, a regional port, local depots and customers. Improved models are proposed to overcome some limitations at each connection link: overseas-port, portdepots, and depotscustomers, respectively. New empty containers moving policy among depots are updated. The objective is to minimise total relevant costs over planning horizon, including inland and overseas transportation costs, order cost, inventory costs and lost sales. A real case study of Vietnam shipping line is investigated to analyse the performance of the improved models over the current model in different aspects.
Keywords: empty containers; ports; depots; repositioning.
Impact of combining cross-docking and Vendor Managed Inventory in a retail supply chain
by Yassine BENRQYA
Abstract: The objective of this paper is to examine the impact of combining the cross-docking strategy (XD) and Vendor Managed Inventory (VMI) in a retail supply chain. Particularly, the impact of combining XD and VMI, compared to VMI is investigated. The presented work is based on a case study research methodology. The research was done in collaboration with a Fast Moving Consumer Goods company and a French grocery retailer. A cost model has been developed to compare three different scenarios (1) VMI scenario, (2) a XD scenario, and (3) a combination of XD and VMI. The case study provides two main observations. (1) Compared to VMI, XD is more economical: a 13% reduction of the cost. (3) Combining XD and VMI reduces the supply chain cost by 28%. This paper fills a gap by proposing a cost analysis based on a real case study and by analysing the advantages of implementing different scenarios in the retail supply chain context. Furthermore, the cost model may be used to help managers choose the right distribution strategy for their supply chain.
Keywords: Retail supply chain; Cross-docking; Vendor Managed Inventory; cost analysis.
The impact of organizational culture on supply chain integration (Case study: industrial parks of Qazvin province)
by Zahra Amin Afshar, Safar Fazli
Abstract: The increasing emphasis on integration among members of a supply chain has led to new mechanisms to help firms coordinate the flow of products, services, and information through the supply chain. Based on organisational culture theory measured by the competing values framework (CVF), this study developed a theoretical model to explore the effect of organisational culture on three types of supply chain integration efforts: 1) internal; 2) customer; 3) supplier integration and firm performance. However, the supply chain integration has positive effect on performance, organisational culture will be able to reduce or increase this effect. This research performed based on structural equation modelling (SEM), in 134 manufacturing firms in Qazvin province industrial parks. Collected data were analysed by partial least square (PLS) method in order to evaluate the relationship between variables and their impact on each other. Empirical results confirm that flexibility-stability orientation of culture does not significant impact on supply chain integration. Organisational performance positively and significantly affected by supply chain integration especially among internal integration and business performance. We expect that the results of this study help better understand supply chain integration practices and managers take advantages of it.
Keywords: supply chain integration; organizational culture; internal-external orientation; flexibility-stability orientation; organizational performance.
Investigating the Transport Flexibility Measures for Freight Transportation: A Fuzzy Best-Worst Method approach
by Vipulesh Shardeo, Anchal Patil, Ashish Dwivedi, Jitendra Madaan
Abstract: Unpredicted disruptions force organisations to ensure flexibility for fulfilling customer demand. Enabling flexibility along the transportation system is the most suitable solution for unpredictable disruptions. Flexibility, being a potential element, requires more attention to gain competitive advantages. In this study, an effort has been made to investigate different transport flexibility measures (TFMs) related to freight transportation. Initially, an extensive literature survey is performed to identify different TFMs linked with the supply chain and logistics domain. Further, an integrated fuzzy best worst method (FBWM) have been adopted to prioritise the identified TFMs and sensitivity analysis is performed to ensure robustness of the model. The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation. This study will help practitioners, managers and decision-makers associated with freight transportation to make better decisions to ensure flexibility in the freight transportation system.
Keywords: freight transportation; flexibility; multi-criteria decision making; MCDM; fuzzy best worst method; FBWM; sensitivity analysis.
COORDINATING A THREE-STAGE SUPPLY CHAIN USING BUY-BACK AND REVENUE SHARING CONTRACTS
by Huynh Trung Luong, Anuradha Colombathanthri
Abstract: In this research, a composite contract model is developed for coordinating a three-stage supply chain which consists of a manufacturer, a distributor and a retailer. The relationship between the distributor and the retailer is coordinated using a revenue sharing contract, while the relationship between the manufacturer and the distributor is coordinated using a buy-back contract so as to encourage the distributor to order more. Mathematical models for these contracts are derived and analyzed through numerical experiments to identify the optimal order quantities, the coordination conditions, the effects of the contract parameters and to identify the best possible contract parameter values which can lead to a win-win situation.
Keywords: Supply chain; Buy-back Contract; Revenue sharing contract; Three-stage coordination.
Identifying a catalyst for demand uncertainty within inventory management forecasting
by Aletta Tolmay, Ndivhuwo Nemtajela
Abstract: The problem addressed by the research reported on in this paper is that the fast-moving consumer goods sector is faced by high levels of demand uncertainty which, in turn, leads to high levels of out-of-stock (OOS) events. A lack of research on this topic still prevails and more research is invited, especially in developing countries. This study aimed to investigate which of qualitative and quantitative techniques acts as a possible catalyst towards demand uncertainty. This research was conducted through a survey and the data was collected by a questionnaire distributed to the employees of five companies within the South African FMCG sector. The unit of analysis was the perceptions of employees regarding their understanding of the concepts ?qualitative forecasting?, ?quantitative forecasting? and ?catalyst for demand uncertainty?. It was found, using path analysis, that qualitative rather than quantitative forecasting techniques act as a possible catalyst towards demand uncertainty.
Keywords: Inventory management; demand uncertainty; qualitative forecasting; quantitative forecasting; forecasting catalysts.
Efficient Solutions of Time versus Cost Transportation Problems
by C. Muralidaran, B. Venkateswarlu
Abstract: In time versus cost transportation problem, the time duration for shipping units and the unit cost for transporting are considered in the classical transportation problem. In such situations, the main objective is to find effective solutions instead of just trying to minimise the total transportation cost. The balancing solution to this problem may be found by reaching a compromising solution in terms of both the criteria of cost and time. A new method is proposed to solve this problem named as root searching. It is an effort to discover a set of efficient solutions and the most efficient solution of the time versus cost transportation problems. Efficiency may be moderating the solutions devoid of extreme measures. One solution is of minimised total transportation time and the other is minimised total transportation cost. It shall certainly bring great benefit and give support to decision-makers.
Keywords: multi-criteria optimisation; total transportation time; transportation problem.
An analysis of third party logistic selection criteria in oil and gas sector: An integrated SWOT
by Sharfuddin Ahmed Khan, Radi M.Radi, Syed M. Ali, Esam H. Zahran, Amro H. Al Sahtout, Saad A. Ldin Esam
Abstract: Outsourcing logistics activities has become an essential topic and considered by several academician and practitioners in literature. In this paper, we have considered a problem that an oil and gas company in Middle East is facing in their logistics selection criteria for outsourcing. Our proposed research methodology adopted both qualitative and quantitative approach. A well-structured integrated method based on strengths, weaknesses, opportunities, and threats (SWOT) and analytical hierarchy process (AHP) have been used to identify relevant criteria of third-party logistics service provider (3PLSP) and subsequently rank them. Proposed research methodology has been implemented in an oil and gas company as a case study. Results shows that highest ranked criteria under strength, weakness, opportunity, and threats of considered case company are operational accuracy (20.4%), operational speed (51.6%), transportation costs (12.4%), and insurance costs (15.6%) respectively. This study has several managerial and practical implications which are discussed at the end.
Keywords: outsourcing; third party logistics selection criteria; SWOT analysis; AHP; oil and gas sector.
Dynamic models of production-finance activity of
enterprises in conditions of uncertainties and risk
by Aleksandr Mishchenko, V.V. Solodovnikov, Tamara Apal'kova
Abstract: The problem of optimal management of various types of production resources in conditions of uncertainty and risk taking into account recoverable and unrecoverable defects is relevant and necessary to ensure the competitiveness of modern industrial enterprises. The aim of the research is to develop mathematical tools for evaluating the effectiveness of industrial logistics systems, taking into account uncertainty and risk. The paper presents a set of dynamic optimisation models for evaluating the effectiveness of industrial logistics systems, the solution of which is a vector function of time, which sets the productivity of production operations according to the criterion of profit maximisation, taking into account a number of constraints. The results of this work are the development of: the complex of optimal control models taking into account uncertainty and risk, the tool to convert an optimal control problem to linear programming model, the evaluation mechanism of the stability of solutions under changes in the prices of end products, risk assessment methods of the obtained solution. The practical use of the developed tools was shown in evaluating the effectiveness of the investment program of the manufacturer of computers.
Keywords: optimisation models; production activity; uncertainty; recoverable and unrecoverable defects.
A Genetic Algorithm for Integrated Hub Covering-Routing Problem Considering Forbidden Paths
by Ashkan Ayough, Behrooz Khorshidvand, Fatemeh Adibrad
Abstract: In this study, a new mathematical model is provided for the Hub Covering-Routing Problem (HCRP) through an extension of the Traveling Salesman Problem (TSP). The objective of HCRP is to minimize the total related costs. A new Integer Linear Programming (ILP) model has been formulated. The main decision variables are to determine the tours and how to use the hubs in the way that total cost can be minimized. Since the proposed model has a computational complexity, a Genetic Algorithm (GA) is developed for solving the model in real-world sizes. The results show that the proposed model and solution method are useful for dealing with real-world problems. The computational results show that the proposed GA, in the small-scale instances, can provide efficient results compared to GAMS outputs so that the gap between results is, on average, 1.2%.
Keywords: hub covering problem; traveling salesman problem; forbidden paths; GA.
A fuzzy decision-making methodology for third-party logistics selection in the existence of the companys policy priorities: Case of household appliance manufacturer
by Bengie Omar Vazquez Reyes, João C. Colmenero
Abstract: This paper provides a four-phase fuzzy decision-making multi-criteria (FMCDM) methodology for the 3PL provider selection in the existence of the companys policies priorities in an uncertain environment. First, a hierarchical structure determines the selection criteria and potential providers. Then, fuzzy stepwise weight assessment ratio analysis (fuzzy SWARA) implements priorities based on the companys policy and determines the weights of subjective criteria regarding decision-makers degree importance. Next, fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) evaluates the providers regarding decision-makers preferences and determines the ranking of the alternatives. Lastly, sensitivity analysis verifies the impact of each criterion concerning the selected alternative and a business dashboard validates the results of the proposed methodology in a Brazilian household appliance manufacturer. Findings indicate that the outsourcing logistics decision is made based on policies oriented to safety and environment standards, and requirements of logistics service quality, cost-effectiveness, and operational performance.
Keywords: logistics outsourcing; decision making; priorities setting; company policy; fuzzy logic; SWARA; stepwise weight assessment ratio analysis; TOPSIS; technique for order preference by similarity to ideal.
The effect of order batching on a unidirectional cyclical picking line's completion time
by Stephan E. Visagie, Flora M. Hofmann
Abstract: An investigation into the effect of order batching in an order picking system that uses a unidirectional cyclical picking line forms the main focus of this paper. The three main actions of pickers are to walk, pick and prepare cartons. The total amount of work for the last two actions remains constant, rendering the minimisation of walking distance as the main objective when minimising the total picking time. Batches are formed to minimise walking distance. The question thus arise what is the total time saving before and after batching. This picking system is modelled with a discrete event simulation. Historical data were compared to the output of the simulation for validation of the simulation. The simulation represents the real world picking system satisfactorily. The simulation runs also show that the order batching heuristics that aim at minimising walking distance reduces the overall picking time by up to 21%.
Keywords: order batching; route overlap metrics; picking location metrics; discrete event simulation; pick density; unidirectional cyclical picking line; order picking system.
A non-stationary queuing approach and Genetic Algorithm for the optimization of Truck Appointment System in a Container Terminal in Casablanca City
by Sara Belaqziz, Fatima Bouyahia, Saâd Lissane Elhaq, Jaouad Boukachour
Abstract: Due to the increasing container traffic, many terminals face a considerable number of truck arrivals. This situation leads to congestion problems at the gates and generates serious air pollution while decreasing terminal efficiency. To consider this issue, many terminals use a truck appointment system. However, the latter should take, necessarily, into account the terminals local conditions to ensure a satisfying performance. In the present work, one proposes an appointment model to control truck arrivals in one of the busiest terminals in Morocco. The model is based on an improvement of the approximation approach related to the queue length estimation. The treatment adopts a genetic algorithm with a novel testing scenarios highlighting more the solution performances by crossing several basic existing scenarios. Then, some numerical experiments are conducted based on literature works data to calibrate the model and ensure its accuracy. Finally, the best configuration was approved for the local Terminal.
Keywords: container terminal; appointment system; queuing time; optimization; genetic algorithm; mutation.
Applying Blockchain-Based Smart Contracts to Eliminate Unfair Trading Practices in the Food Supply Chain
by Yevhen Kononets, Horst Treiblmaier, Miroslava Rajčániová
Abstract: In this paper we critically evaluate the applicability of blockchain-based smart contracts to reduce unfair trading practices (UTPs) in the food supply chain. Face-to-face interviews and a quantitative survey were used to collect and analyse the opinions of 20 experts in blockchain and food supply management. The results show that contractual parties with asymmetric bargaining power along the food supply chain can implement blockchain-based smart contracts to reduce the negative impacts of UTPs. The creation of templates for such types of contracts and promotion by regulative authorities could help their dissemination. This is the first study to explore the applicability of blockchain-based smart contracts in the food supply chain and its impact on UTPs. We especially focus on the needs of small and medium-sized food producers and farmers who experience negative impacts on their businesses due to existing power asymmetries.
Keywords: Unfair trading practices; food supply chain; blockchain technology; smart contract; contract efficiency; empirical research; interviews with experts.
Lean/Experience feedback for sustainable logistics management within industry 4.0 perspective: a new approach based on survey study evidence in Morocco.
by Salima Hammadi
Abstract: Industrial performance has become the main aim of production systems regarding the actual competitiveness pressure, industrial development and environment constraints. Hence, dealing with maintenance from a logistics vision to define maintenance logistics system is a new promising framework boosting availability improvement and industrial performance. A survey study was conducted in the Moroccan industrial context to evaluate industrials perception about lean implementation benefits in maintenance logistics, concluding its positive impact on four fields of benefit among others maintenance logistics environment and human factor culture which is considered the most difficult to align on the lean culture. In addition, the human factor perspective, being an important key to reach sustainable performance, still stays poorly exploited in maintenance area. To activate human factor potential, we define the sustainable maintenance logistics framework covering all maintenance resources. To this end, we propose a new sustainable map integrating lean culture and experience feedback within industry 4.0.
Keywords: sustainable maintenance logistics; lean culture; experience feedback; maintenance logistics environment; human factor culture; industry 4.0.
Green GAS Heuristics for the Routing Problem
by Narassima MS, Sachin Sreekumar, Ram Narayan S, Devnath ES, Ganesh K, S.P. Anbuudayasankar, Sathish Kumar VR
Abstract: Logistics and supply chain management can provide a number of ways to improve the efficiency and productivity across the supply chain which in turn contributes significantly to greater economies of scale. One of the ways to achieve this is by ensuring proper quantities of storage at the point of demand and ensuring the best possible distribution plans, including routing of the distribution vehicles. There has been a sudden surge in the amount of CO2 emissions in recent years and therefore a regulation on these emissions is the need of the hour. This inventory routing problem aims at integrating the routing of vehicles used for collection and distribution. In this paper, a three-staged method named GAS: Grouping of nodes, Allocation of the right quantities to these nodes and Serving through these grouped nodes is proposed. The proposed method is made greener by considering the Carbon footprint in the chain and will provide optimal solutions that can be implemented in distribution systems in a supply chain.
Keywords: Heuristics; Logistics; Routing Problem; Sustainability.
Genetic algorithms applied to the efficiency of storage logistics
by Jaime A. Arango-Marin
Abstract: It is required to minimise the operation time of a bridge crane in a storage warehouse. The problem is assimilated to a two-dimensional packaging model where the objective function is to minimise the total travel time of the crane bridge subject to restrictions of available space. A genetic algorithm is proposed as a solution, with a chromosome that represents the sequence, initial population conformed with heuristic and random sequences, selection of parents by proportional roulette, crossing by SJ2OX, mutation by ARB2, population update by tournament and stopping criteria by number of iterations without improving the value of the objective function. The results show a reduction in the entry and exit operations, reducing total operating times and improving the safety of support personnel. In future work, other intelligent techniques could be applied, and the model formulated as a three-dimensional packaging problem.
Keywords: warehouse logistics; genetic algorithms; 2D packing.
Motivating Factors to Promote Tourism in India: Using AHP Methods
by Rupesh Kumar, Surendra Kansara, Deepak Bangwal, Akhil Damodaran, Ajay Jha
Abstract: This study seeks to investigate the various criteria along with different motivation factors with the motive to improve peoples leisure time. All these motivating factors have their importance to enhance tourism within the country and also help in economic development. The primary data of this research collected through a questionnaire survey. Then we used the analytic hierarchy process (AHP) theory to analyse the factors and sub-factors of the hierarchical structure. This study reveals the application of AHP to examine the tourism theory and suggested recommendations and solutions for the Indian tourism industry. The proposed framework can be used by tour operators to avoid the uncertainty in decision making as well to improve the efficiency of tourism performance.
Keywords: analytic hierarchy process; AHP; tourism industry; multi-criteria decision methods; MCDM.
Green Supply Chain Management: Practices and Performances in Power Industry
by SHEETAL SODA, Vivek Aggarwal
Abstract: Power industry has been identified as one of the largest polluting industry, owing to emissions caused by burning of fossil fuels. The research study is focused on the power companies of Punjab to examine the deployment of green practices in the implementation of green supply chain management (GSCM) and analyse their impact on environmental, economic, and competitive performances. Data were collected from Punjab power companies and used to test the research hypotheses. Factor analysis was used to examine the construct validity while regression was used to test criteria validity. This study presents one of the earliest efforts on the subject of GSCM implementation in Indian power companies. The impact of GSCM implementation reflects itself in three forms, i.e., environmental, economic and competitive performances. The study has clearly deduced that government regulations is the only driver that yields affirmative results for all the three type of stated performances. In contrast, the factor green awareness is not strongly associated with any of the dimensions of performance aforesaid.
Keywords: green practices; green supply chain management; GSCM; power industry and performance measures.
Modeling and Analysis of the Critical Success Factors in Fresh Food Processing Supply Chain
by Surya Prakash, Vijay Prakash Sharma, Gunjan Soni, Lalit Kumar Sharma, Shaik Riyaz
Abstract: The food processing capabilities are one area that has a high perspective to add value to the supply chain. This study aims to identify and model critical success factors (CSFs) of the Indian fresh food processing (FFP) industry. The CSFs have been identified through all-encompassing literature reviews and consolidated through discussions with experts from the Indian FFP industry. A total of ten CSFs are identified and measured through a relative importance method. The TOPSIS methodology is deployed to analyse the data. The result shows that integration of the supply chain, focuses on processing technology, training the major entity of value chain. This paper contributes to the understanding of supply chain management in a FFP context and presents the prioritise CSFs for this sector. The results of this study will help supply chain managers-practitioners in making decisions about the successful implementation of impactful strategies.
Keywords: fresh food processing industry; critical success factors; CSF; TOPSIS; supply chain.
A two-stage method to determine parameters of (R, Q) inventory policy with storage capacity for a single item and multiple items
by Jirachai Buddhakulsomsiri, Kanokwan Singha, Parthana Parthanadee
Abstract: This paper presents a method for determining parameters of (R, Q) policy for a single-item inventory system under limited storage space, and for multiple items sharing storage space, that minimise the total cost. A two-stage method is developed, consisting of bootstrap-iterative method to find an initial solution without considering storage capacity, and a hybrid between cyclic coordinate method and solution evaluation using simulation to find the final solution under limited storage space. Numerical examples to demonstrate the method, and computational experiments to evaluate the methods effectiveness under various scenarios are provided. In the single item experiment, effects of lead time, storage capacity, item movement, demand variability, and unit over-storage cost on the total cost savings from the proposed method are investigated. In the multiple item experiments, effects of the method, storage space sharing, storage capacity, and item package sizes on the cost savings are examined.
Keywords: reorder point; order quantity; storage capacity; bootstrap-iterative; cyclic coordinate; over-storage.
Truck Transport Industry in the USA: Challenges and Likely Disruptions
by AMULYA GURTU
Abstract: This study presents challenges and likely disruptive changes in the US trucking/logistics industry in the next decade and how these challenges and disruption might affect supply chain management, logistics management, and truck transport industries in the USA. This is a qualitative study based on interviews with senior executives from big transport organisations. The shortage of drivers and capacity constraints precipitated to be the main challenges, and blockchain technology is likely to be a disruptive technology. There seems to be a consensus among the executives interviewed on the use of fully autonomous Class-8 trucks (semi) on highways and city roads that it is too far in the future. The study is limited to the interviews of eight senior executives from four big transport organisations.
Keywords: logistics industry; logistics services; transport industry; supply chain management; strategic management; supply chain risk; autonomous vehicles; blockchain technology.
Explicating the Effects of Big Data Analytics Capabilities on Supply Chain Resilience Dimensions: Dynamic Capabilities Approach and Complex Adaptive System Perspective
by Sina Shokoohyar, Sajjad Shokohyar, Sahra Hakimun
Abstract: In an uncertain business environment, industries need to be resilient in their supply chains to be able to face the possible changes, identify them, and react to the real ones. This study aims at presenting a general approach to evaluate big data analytics (BDAs) potential regarding supply chain resilience. The effects of three enablers of BDA capabilities, namely BDA management ability, BDA infrastructure flexibility, and BDA personnel expertise ability on supply chain resilience dimensions, namely efficiency-based capabilities, adaptive capability, and collaborative capability were studied in a conceptual framework. Evaluation of the research measurement as well as structural model validity was performed via partial least squares structural equation modelling (PLS-SEM). The results show that BDA capabilities have a positive and meaningful effect on supply chain resiliency. Moreover, according to the findings, capabilities of BDA personnel along with BDA infrastructure flexibility had a greater impact on supply chain resilience.
Keywords: big data analytics; BDAs; supply chain resilience; complex adaptive system; dynamic capability.
Research progress on Joint Economic Lot Sizing models (JELS): importance, classifications and bibliometric mapping
by Susheel Yadav, Anil K. Agrawal, Manu K. Vora
Abstract: Joint economic lot sizing (JELS) models aim to minimise the total relevant cost for the integrated supply chain and not for an individual partner. Coordination and information sharing are two critical elements to the success of JELS models. This paper first introduces the JELS model, explains some key factors involved in; it is initial developments, and then provides the review methodology. This study aims to provide a comprehensive and systematic overview of the JELS literature based on the adopted review methodology. An effort has been made to classify the JELS literature based on various extensions of the JELS models and solution techniques used and also to provide a bibliometric analysis. Exploration of the JELS models in the green supply chain and in deteriorating items are identified as key trends while the issue of profit sharing among the JELS partners is identified as a promising research opportunity. Some other significant findings and future research directions are also suggested.
Keywords: joint economic lot sizing; JELS; total relevant cost; lead time; profit sharing; VOSviewer®.
Green Supply Chain Management and Operational Performance: A Study of Controlled Environmental Agriculture in Sri Lanka
by S. H. Thakshila Kumudumali, Ravindra Hewa Kuruppuge, Hotniar Siringoringo
Abstract: The present study aims to evaluate the influence of green supply chain management (GSCM) practices on operational performance (OPP) concerning to the dimensions of cost, quality, delivery, and flexibility especially a concern on controlled environmental agriculture (CEA) in Sri Lanka. A mixed methodology was used for data collection. The inductive approach was based on data collected using the five most successful respondents in CEA. The deductive approach was based on the data collected through 275 farmers who engaged in CEA in Badulla District in Sri Lanka. The data was analysed using the content analysis method and the structural equation modelling (SEM). The qualitative data analysis emerged four main themes of experience, family support, knowledge and knowledge sharing and green practices. Result showed the influence of the GSCM practices (GSCMPs) leads to increases the cost savings, improve the quality of products, improve delivery time, and improve the adaptability of change from one product to another.
Keywords: operational performance; green supply chain management; GSCM; green purchasing; eco-design; green manufacturing; knowledge; experience; Sri Lanka.
Reduction of Transport Costs in the Automotive Trade in Mexico
by Patricia Cano-Olivos, Diana Sanchez-Partida, Jose Luis Martinez Flores
Abstract: This case study was developed in a Mexican automotive industry. Research has two objectives; the first is evaluation and selection the logistics services providers (LSP) by the method multi-objective optimisation on the basis of ratio analysis (MOORA) for logistics outsourcing of transportation or distribution of products (cars) specifically of company-port and vice versa (export and import). The second objective is to assign order quantities to be shipped through different LSP for optimising full truckload to minimise total shipping costs respecting truck capacity and vehicles export-import constraints by linear programming. The paper demonstrates that the techniques used may be useful for reducing the overall cost in the year. According to this study in the 2019 year, the saving achieved $75,652,464 MXP. So, it is necessary to design an optimal plan vehicles distribution minimise costs.
Keywords: logistics cost; logistics services providers; LSP; linear programming; Mexico.
Challenges in process design and innovation. Study of a case in Portugal
by Dário Ribeiros, Paula Ventura Martins, Silvia Fernandes
Abstract: This work intends to enhance process management, namely by reviewing the stock process in a large company of Portugal. It involves the redesign of this increasingly important process of the supply chain. This factor, in recent decades, has led to a focus on improving the stocks function. That is why this research aims at improving the current process, to take full advantage from the firms acquired enterprise resource planning (ERP) system. This process study highlights the comparison between current process and its proposed improvement. The define-measure-analyse-improve-control (DMAIC) method is systematically applied, and new data emerge from the tests made in the ERP. The improved process will greatly reduce the execution time as well as the number of actors and amount of information circulating outside the system. However, for a greater performance, an analysis with coefficient of variation will be introduced in the future.
Keywords: process; stocks; supply; enterprise resource planning; ERP; business process maturity model; BPMM; define-measure-analyse-improve-control; DMAIC; Portugal.
The Impact of lean practices on workspace improvement: Case of quality control laboratory of a pharmaceutical company.
by Fatima Ezzahra Cherqaoui, Saâd Lissane El Haq
Abstract: Performance improvement can be done in several ways. Each firm attempts to utilise suitable practices based on its activity and workplace. This paper aims to demonstrate the impact of lean tools on performance improvement. The improvements achieved are indicated through a case study in a quality control laboratory of a Moroccan pharmaceutical company. The elimination of irritants was carried out by following some well-defined steps. The approach used describes the implementation stages and the benefits of lean practices through a comparative study of the workplace before and after the implementation. The benefits are also indicated through a spaghetti diagram, which shows the arrangement of the workshop before and after the implemented changes. The findings reveal the impact of process reengineering steps and the benefits of lean practices on workspace improvement through gains in both space and time. Some other organisational challenges, especially those related to motion wastes, were also solved.
Keywords: pharmaceutical industry; lean tools; 5S; cellular layout; process reengineering; Moroccan firm.
Multiagent Based Simulation of Logistics Rail Services in Le Havre Port: Multimodal Platform vs. Innovative Modular Rail Service
by Adnane CABANI, Jospeh Mouzna, Ghaleb Hoblos
Abstract: An innovative modular rail service based on teleoperated rail is presented in this paper compared to a classical scheme in the multimodal terminal at Le Havre Port. Indeed, a model of the multimodal platform is proposed performing massified exchange between maritime terminal and its Hinterland, and then an innovative scheme using radio-controlled wagons is designed. The major difference between classical and innovative scheme that in the last one the aim is to release of the locomotive as soon as the wagons have reached their destinations. The arrangement of the wagons on the tracks is no longer done by the locomotive but the wagons are motorised and remotely operated. The perimeter of the model is delimited, on the one hand, by arrival of containers in handling areas in maritime terminal. And, on the other hand, departure of trains and barge in the multimodal terminal. Some rules and optimisation are used to improve output of the developed model. Finally, to compare classical vs. innovative scheme, some pertinent indicators are proposed and used to highlight the effectiveness of our approach.
Keywords: multiagent simulation; modular rail; freight transport policy; multimodal transport; container terminal; tele operated coupons.
Supply Chain Crisis Management in the Wake of a COVID-19 Pandemic
by Hokey Min
Abstract: The COVID-19 pandemic has created an unprecedented health and financial crisis across the world. This crisis has not shown any sign of abatement despite world-wide efforts to contain the spread of the virus with draconian measures such as extensive social distancing, travel restrictions, and lockdowns. An inherent difficulty in controlling this crisis has disrupted the entire global supply chain and consequently threatened our livelihood and freedom. Faced with this daunting crisis, many businesses regardless of their sizes desperately need a viable survival strategy. To fill such a need, this paper reinvents crisis management tools and develops a strategy map for mitigating the adverse impact of COVID-19 on global supply chain operations, while enhancing supply chain resilience in times of turbulence and uncertainty.
Keywords: Covid-19 pandemic; supply chain crisis management; strategy map; expository paper.
A SUPPLY CHAIN NETWORK RECONFIGURATION UNDER PARTIAL DISRUPTIONS WITH CAPACITY RECOVERY
by Varthini Rajagopal, S. Prasanna Venkatesan, Sushant Varghese, Tanumoy Kolay
Abstract: This paper presents a multi-objective supply chain network (SCN) reconfiguration model under disruptions considering cost minimisation and resilience maximisation objectives. Potential disruption scenarios are modelled considering the decision makers (DM) risk-attitude. At first, the single-objective cost minimisation problem is formulated and extended as a multi-objective problem incorporating responsiveness as another objective. A set of Pareto solutions is obtained using the augmented ?-constraint (AUGMECON) method. The major inferences include: 1) the structural decisions are highly influenced by the SCN facilitys failure probability and the DMs risk-attitude; 2) The cost-effectiveness is achieved by incorporating a portfolio of reactive strategies during the post disruption periods; whereas redundancy at design phase is preferred to maximise the resilience; 3) a rapid and radical albeit costly recovery option is favoured to maximise resilience while a slow and incremental recovery is preferred to minimise the cost.
Keywords: supply chain network reconfiguration; SCNR; disruption risk; risk-attitude; multi-objective; resilience; recovery.
Designing global trade and logistics channels: a focus on the Chinese food and beverage market
by Lorenzo Bruno Prataviera, Marco Melacini
Abstract: Internationalisation ventures entail a close relationship between the trade channel (TC) and the logistics channel (LC), but few studies address simultaneously TC and LC design. This study investigates how TC can influence LC design and explores the role played by related contextual factors. Abductive reasoning is adopted within middle-range purposes, elaborating previous theory with multiple case studies considering European food manufacturers tackling a specific empirical context (i.e., the Chinese food and beverage market). The study lends contingency theory elements and leverages them to develop nine propositions that can open to further inquiries about the influence of TC on LC design and the impact of the identified contextual factors. Moreover, it proposes the behavioural theory as a theoretical lens to approach LC (and not only TC) design. Lastly, it provides practitioners with insights that can be useful to improve their understanding of the Chinese food and beverage market.
Keywords: global distribution channel design; logistics channel; trade channel; China; food and beverage market; guanxi; multiple case studies.
TACTICAL AND STRATEGIC REDESIGN OF SUPPLY CHAINS AFFECTED BY DELOCALIZATION
by Rafael Guillermo García-Cáceres, Sergio Alvarez-Velasco, John Escobar-Velásquez
Abstract: The present research work addresses the problem of modelling and redesigning a supply chain. With that general purpose, a model is developed to minimise logistics costs, including specific considerations about provisioning, inventories, products, location, selection of supply channels, assignments between distribution centres and demand zones, and transfers between distribution centres. The solution procedure is based on the design of a linear-programming-like MIP model for large optimisation scales. The model is validated with real data from a multinational beauty product company. Simulated data are used for larger instances. The performance of the solution procedure of the model enables optimal solutions to be obtained in practical instances of the problem at excellent CPU times.
Keywords: offshoring; supply chain redesign; MIP; strategic and tactical planning; delocalisation.
Analysis of enablers of supply chain digitalization of electronics industry: An Interpretive Structural Modeling Approach
by T.S. Deepu, V. Ravi
Abstract: Supply chain digitalisation has great advantages. In spite of a large number of studies, there is a lack of literature to identify and address the key enablers to be considered for supply chain digitalisation. In this study, 13 key enablers for integration of supply chain through digitalisation in an electronic supply chain in Indian context are identified and shortlisted in consultation with the experts from industry and academia. Interpretive structural modelling has been used for understanding of the hierarchical and contextual influences among the identified key enablers for supply chain digitalisation. Results of the model indicate that prior to taking a decision on supply chain digitalisation, companies have to identify the key enablers and its impact on digitalisation process. Policy decision makers could use the results of this study to identify the key enablers and their interrelationship for taking effective decision for supply chain digitalisation process.
Keywords: supply chain digitalisation; SCD; interpretive structural modelling; ISM; digitalisation enablers; MICMAC approach; electronics industry.
Supplier evaluation using AHP for a small scale iron and steel plant in eastern India
by Sanjay Kumar, Asim Gopal Barman
Abstract: The paper presents a multi-criteria decision-making model for evaluation of suppliers using the analytic hierarchy process (AHP) for a small-scale sponge iron and steel plant in eastern India. A systematic research framework has been proposed for the same. The process uses a pair-wise comparison of the criterion importance based on decision makers opinions to find their relative weights. The main criteria are identified based on literature review and experts opinions. The criteria are cost, delivery, quality, location, communication, management, performance history and reputation. The next stage involves a pair-wise comparison of the suppliers based on each criterion to find their relative importance. Overall sensitivity analysis has been conducted using MS Excel to inspect the flexibility of the model for evaluating suppliers, i.e., how the change in the ranking of the suppliers occurs when there is a change in relative weightage of criteria.
Keywords: supplier selection; iron and steel plant; analytic hierarchy process; AHP; sensitivity analysis; India.
LOGISTICS SERVICE PROVIDER PERFORMANCE EVALUATION BASED ON DIFFERENT PERCEPTIONS IN THE REVERSE SUPPLY CHAIN
by Tarsila R. S. De Vasconcelo, Marcele Elisa Fontana
Abstract: This work developed a new methodology to measure the performance of reverse logistics service providers (RLSPs), considering different points of view in the reverse supply chain. This proposal is an adaptation of SERVQUAL in the outsourced reverse logistics context, adding fuzzy logic, through the fuzzy reverse logistics index (FRLI) and fuzzy performance-importance index (FPII), which was named here as fuzzy SERVQUAL-RL. This approach considers more than one agent in the reverse supply chain to assess the outsourced company. A case study was conducted to demonstrate the applicability of the proposed methodology. This methodology is able to identify critical attributes, i.e., those that need urgent improvement in order to increase customer satisfaction. Thus, the necessary investments are justified, consolidating and strengthening partnerships and, consequently, generating long-term synergy gains in the supply chain.
Keywords: third party logistics provider; service performance; perception; fuzzy SERVQUAL-RL.
A combined approach to risk assessment in the sustainable supply chain
by Ali Nazeri, Nasser Safaie, Maryam Farahani, Mohammad Mehdi Kazemi
Abstract: The purpose of this research is to provide an approach to assess risk management in the sustainable supply chain of Iran Khodro Company. To understand the relationship between the sustainable supply chain risks, using the grey DEMATEL method, the cause and effect graph of these risks was identified. The results showed that the
Keywords: sustainable supply chain; risk management; Delphi; grey DEMATEL; Iran Khodro Company.
Exploring the Relationship between Quality Management and Risks in Closed-loop Supply Chains
by Michalis Madas, Yiannis Nikolaidis
Abstract: Supply chain risks are highly unpredictable and may affect the entire spectrum of supply chain actors, with direct implications on cost, product/process quality, lead time, companys image and profitability. Existing literature in supply chain risk management (SCRM) has not sufficiently addressed risk management in the context of closed-loop supply chains (CLSC) and has not thoroughly investigated potential linkages between risks and quality management (QM). In our paper, we develop a typology of CLSC risks and explore the potential contribution of QM systems, principles and practices in dealing with CLSC risks. Various QM tools can be employed to reduce the occurrence or impact of risks associated with reconditioned or returned products. Unfortunately, certain important risk categories are difficult to mitigate by means of QM. Indicative examples are the consolidation of return flows to remanufacturers, inefficient marketing techniques for recovered products, as well as uncertainties related to quantity and timing of returns.
Keywords: closed-loop supply chain; CLSC; reverse logistics; risk; quality management.
A MCDM Approach to Third Party Logistics (3PL) Provider Selection
by Funda Samanlioglu, Sylivan Boakai
Abstract: In order to focus on their main skills and be more competitive and efficient in business, firms frequently outsource their logistics functions to a third party logistics (3PL) provider. Evaluation and selection of a 3PL provider is a multi-criteria decision-making (MCDM) process due to the need to take into consideration various potentially competing qualitative and quantitative criteria. In this paper, as the MCDM method, fuzzy best-worst method (BWM) is applied to a 3PL provider selection problem of a textile company in Turkey. Here, six 3PL provider alternatives are evaluated with respect to 15 criteria by three managers (decision makers). Fuzzy BWM incorporates decision makers imprecision and ambiguity to the decision-making process and requires fewer pairwise comparisons than a frequently used method in 3PL provider selection, fuzzy analytic hierarchy process (AHP). Consistent results are always obtained through using fuzzy BWM, though not fully consistent.
Keywords: third-party logistics provider selection; third party logistics; 3PL; multi-criteria decision-making; MCDM; fuzzy; best-worst method; BWM.
How to Correctly Perform a Work Sampling
by Yossi Hadad, Michael Z. Hanani
Abstract: The use of work sampling as an efficient tool for determining values of parameters such as the rate of employment or idle time of employees, machine utilisation, the rate of allowances to be allocated to employees, and even the setting of standard time, has been growing in recent years. The reason is the advantages that this method has over other methods. This paper describes the
Keywords: industrial engineering; work sampling; Pareto principle; required sample size; efficiency; logistics systems.
Multi-Criteria Approach for Inventory Classification and Effective Warehouse Management
by Birol Elevli, Ali Dinler
Abstract: Organisations classically employ the ABC analysis to have efficient control on the inventory items and for effective management of warehouses. This method considers usually sales values and usage volume of inventory items. In our study, in order to take into account more than one criterion, the PROMETHEE method, which is one of the pairwise comparisons MCDM methods, was used. For the inventory classification, five criteria have been identified that affect the storage activities for all products in order to determine the importance of the product types and product models which are produced by the company. Products were ranked according to their priorities using the PROMETHEE method. The results of the classification were used to assign the shelves to products in the storage. In this process, the top products are assigned to the closer places to minimise the transport distance. As a result of the inventory classification and storage layout plan, the usage rate of storage area has been increased and a layout plan which minimises transportation distances has been established. In this way, order picking and order shipment processes have been accelerated, and a more systematic approach has been created for warehouse management of the company.
Keywords: multiple criteria analysis; PROMETHEE/GAIA; inventory classification; warehouse management.
Design and formulation of an Inventory Management System for raw materials by using Multicriteria Methods and Fuzzy Approach
by John Wilmer Escobar, Olga Patricia Cobo, William Ocampo Duque
Abstract: Companies worldwide are interested in inventory policies as essential components of the value chain. Inventories of raw materials are required to meet the given demand fluctuations and to support the delivery times of suppliers (lead time). This paper proposes a model for determining an inventory management system for raw materials by using multicriteria methods and fuzzy parameters. The raw materials are classified, and inventory policies are determined, with optimal levels for a company, which are required to have with effective methodologies leading better management of these aspects and better control of their standards. The proposed approach generates an ABC classification by using a multicriteria scoring method, and then inventory policies are defined by using a fuzzy strategy. The proposed approach has been tested in a real company producing items for personal hygiene absorbents and cosmetics. The obtained results are promising for multinational companies.
Keywords: deterministic demand; stochastic demand; inventory cost; ABC inventory classification; intermittent demand; lead time; MRP.
Integrating artificial intelligence into supply chain management: promise, challenges, and guidelines
by HENRY ADOBOR, Iddrisu Awudu, Mario Norbis
Abstract: This paper argues that AI can improve supply chain efficiency, and transform supply chain management by providing tools for managing the functions across all the stages of a supply chain. Despite the promise, organisational and managerial challenges may limit AI and SCM integration. We explore the challenges of AI use in SCM and offer some guidelines for its successful integration. We propose that organisations need to make an economic case for AI adoption, develop a plan for AI implementation, including developing core capabilities and system trust for coordinating behaviour across the stages of the supply chain. As well, organisations need to manage the nexus of people and technology to reduce human-machine conflict, as the goal is for AI to augment human capabilities, not to replace them. We provide the implications of the paper for theory and practice.
Keywords: artificial intelligence; supply chain management; stages of supply chains; emerging technology; promise; framing; challenges; guidelines.
On the Liner Shipping Network Design. The Maritime Silk Route case study
by Iñigo L. Ansorena
Abstract: The Maritime Silk Route is a crucial channel for economic exchanges between China and Europe. In the year 2018, the sea route between Asia and Europe moved more than 24 million TEU. In this context, the optimal design of liner services is of crucial importance. We present a general framework for the optimal design of these services. First, we develop a gravity model representing the spatial interaction between ports. Then we obtain a minimum spanning tree by means of Kruskal optimisation and finally we use the Louvain method to determine the communities within the network. Two scenarios are discussed. The first gives more importance to distances, while the second gives more importance to port throughputs. The paper discusses the main differences between the two cases and highlights which ports gain or lose connections depending on the market environment. The resulting graphs are a good reference for designing better services.
Keywords: maritime network; network design; minimum spanning tree; MST; gravity model; importance matrix; maritime services; complex graph.
Artificial Intelligence Applied to Supply Chain Operations Management: A Systematic Literature Review
by Guilherme Mendonça, Orlando Fontes Lima Junior
Abstract: Artificial intelligence (AI) has been a key driver to reduce operational uncertainty and improve performance in supply chain management. Due to the advent of new data gathering technologies (IoT) and greater storage capacity, big data analytics (BDA) is rapidly growing as one of the main fields within AI research. We examined a representative sample of AI works applied to SCM from 2000 to 2020 and analysed them considering the main areas of the SCOR model framework of operations. The systematic literature review was based on a meta-synthesis methodology. The main research questions addressed were: 1) What are the main research methodologies used in AI SCM literature? 2) In what areas of SCM operations is AI (including BDA) mostly applied? 3) What are the most used AI models? The discussion addressing these three questions reveals a number of research gaps, which leads to future research directions.
Keywords: artificial intelligence; supply chain management; logistics; data mining; big data analytics; BDA; machine learning; supply chain operations reference; SCOR model.
Investigating Barriers in Green Supply Chain Management Using the FANP Method- Case Study: Iranian Industrial Companies
by Soudeh Afsharian, Lila Sohrabi Adel, Bahareh Afsharian
Abstract: Environmental management has become a standard component among societies with an emphasis on environmental protection, leading to the creation of a new concept of an environment-friendly business called green supply chain management GSCM. This study aims to identify the significant barriers to establishing green supply chains in developing countries such as Iran using the multi-criteria decision-making (MCDM) method. Investigating such industries as petrochemicals, detergents, automotive, etc., the researchers will identify the critical components of GSC barriers, using phase network analysis, and then they will be ranked in the order of importance. The results of this study yield that the main categories of barriers are knowledge-related, product
and design-related, modern technology and encouragement-related. This study is the first study conducted in various industrial sectors in Iran and stands out because the barriers are ranked, a strong point that helps policy planners, managers, and decision-makers make GSCM practices a success.
Keywords: multiple phase decision-making; fuzzy network analysis process; green supply chain factors; green supply chain barriers; green supply chain management; GSCM.
How Supply Chain Resilience is achieved in SMEs of Dubai, UAE? Considering the Flexible Supply Chain Practices as a Mediator
by Anas Abudaqa, Rashed Alzahmi, Mohd. Faiz Hilmi, Gouher Ahmed
Abstract: This study explores the role of supply chain design (SCD), supply chain collaboration, and supply chain risk in achieving supply chain resilience in manufacturing small and medium-sized enterprises (SMEs) in Dubai. The 323 responses received were analysed through structural equation modelling using SmartPLS 3.0 software. The findings indicate that SCD, collaboration, and risk management enhance supply chain resilience in manufacturing SMEs in Dubai. The flexible practices of the supply chain, with its constituent dimensions of information sharing and postponement extent, are not significant for any examined relationship. Furthermore, the mediating effect is positive but not strong for all the intervening relationships. The study has practical implications for shaping corporate policy for manufacturing SMEs. Relevant management and policymakers can use the findings to consider effective designs of a collaborative system of supply chain and supply chain risk management in achieving supply chain resilience.
Keywords: supply chain resilience; supply chain flexibility; supply chain design; SCD; supply chain collaboration; SCC; supply chain risk; small and medium-sized enterprises; SMEs; Dubai.
A general variable neighborhood search for the commodity constrained split delivery vehicle routing problem
by Taicir Loukil, Cheikh Mohamed
Abstract: The commodity constrained split delivery vehicle routing problem (C-SDVRP) is a relaxed version of the classical VRP. This problem emanates where customers request several commodities that can be delivered separately using a set of vehicles. With limited capacity, these vehicles can convey any mixed commodities set. More than one vehicle may visit one customer, and in each visit, each product must be delivered in its entirety. The objective is to minimise the total cost of the vehicle routes. To solve the C-SDVRP, we propose a general variable neighbourhood search (GVNS) that uses a random variable neighbourhood descent (RVND), in which we explore five neighbourhood structures. Computational experiments on large-sized instances show that the proposed approach finds several new best-known solutions, together with some improvement on the number of used vehicles. The results demonstrate that GVNS has a fast convergence rate and high computational accuracy.
Keywords: vehicle routing problem; multiple commodities; split delivery; metaheuristics; variable neighbourhood search.
A survey of literature on automated storage and retrieval systems from 2009 to 2019
by Massimo Bertolini, Mattia Neroni, Dieter Uckelmann
Abstract: This paper provides a literature review on automated storage and retrieval systems based on the Scopus database. The last comprehensive literature review that analyses the subject in its entirety dates back to 2009 by Roodbergen and Vis. Since then, the scientific community has provided many new efficient solutions, most of which are collected in Scopus. All these new published solutions need to be classified and summarised; thus, for this paper, more than one thousand scientific publications were analysed in order to classify the proposed solutions, deliver new academic insights to the field, and provide clear guidelines for researchers and practitioners.
Keywords: logistics; automated storage; warehousing system; warehouse design; control.
Introducing Electronic Bill of Lading in Foreign Trade: Empirical Assessment of the Practical Need in Ethiopia
by Israel Woldekidan Haileyesus
Abstract: Paper bill of lading has passed through different stages of development depending on the function it performs. Form-wise, it has been used in the forms of paper bill of lading until recent time. However, the advent of technology and the inherent problems associated with being used in the forms of paper results in the introduction of the dematerialised bill of lading in the international commercial transaction. This article aimed to investigate the need for introducing an electronic bill of lading in Ethiopia. To address the issue the paper employed socio-legal research methodology to look into whether there are factors that necessitate the introduction of electronic bill of lading in Ethiopia or not and showed that there are actual demanding factors for introducing it in the Ethiopia foreign trade regime.
Keywords: e-logistics; foreign trade; late arrival; documentary fraud; trade flow; electronic bill of lading; electronic commerce; technological readiness.
Modelling the Interaction Among the Key Performance Indicators of Sustainable Supply Chain in Perspective of Perishable Food
by Mukesh Kumar, Vikas Kumar Choubey
Abstract: Sustainability of supply chain is of major concern research area in recent days. Due to rapid population growth globally, demand for food and nutrition is increasing day by day. So, sustainability in food supply chain is essentially required to meet the ever-increasing demand. In this paper, 30 sustainable indicators have been identified from various literatures in perishable food supply chain and sorted with the help of relevant field and academic experts. An interpretive structural modelling (ISM) approach has been applied to find out the interrelationship among the indicators. Level of importance of all the indicators have been analysed by using ISM and further utilised to develop models for assessing sustainability in supply chain. The results of this study may be used as input to AHP, TOPSIS and other MCDM approach. MICMAC analysis has been applied to classify the sustainable indicators into four factors by using their dependence and driving power.
Keywords: sustainable supply chain; MICMAC analysis; perishable products; interpretive structural modelling; ISM.
Mode choice problem in context of freight transportation: A systematic review and bibliometric analysis
by Vipulesh Shardeo, Anchal Patil, Jitendra Madaan, Ashish Dwivedi
Abstract: The planning for freight transportation comprises of several activities that facilitate the transportation process but expends complexities. Mode choice problem (MCP) is one of the crucial activity affecting the performance of the freight transportation. A strong consideration for the decision process in mode choice/selection issues might reduce the complexities of managing transportation network in case of disruptions such as COVID-19. Therefore, it becomes essential to understand the complexities of MCP in facilitating the transportation system and prepare lessons for future disruptions. A content and bibliometric analysis is presented on previous studies specific to MCPs in context of freight transportation. The contribution of this study is in threefold: Firstly, bibliometric analysis is presented to highlight the research trends. Secondly, the classification of focus research areas are presented. Lastly, the identification of challenges and issues are projected for future research domains.
Keywords: bibliometric analysis; content analysis; freight transportation; intermodal transportation; mode choice.
Production and distribution coordination: A case study in the textile industry
by ANDRE LUIS SHIGUEMOTO, Gabriela Helena Bauab SHIGUEMOTO
Abstract: This paper addresses the problem of coordinating a production-distribution system over a multi-period finite horizon, where a plant production produces several items that are distributed to a set of customers by a fleet of heterogeneous vehicles. The demand for each item at each customer is known over the horizon. The production planning determines how much to produce of each item in every period, while the distribution planning defines when customers should be visited and the vehicle routes. The objective is to minimise the sum of production and inventory costs at the facility and distribution costs. To solve this problem, we use a tabu search metaheuristics and the results are compared to those presented by the industry.
Keywords: supply chain; tabu search; production-distribution coordination; metaheuristic.
Solving a Multi-echelon Inventory-Location Problem Utilizing an Efficient Lagrangian Relaxation Based Heuristic
by Sanaz Khalaj Rahimi, Mehdi Seifbarghy, Davar Pishva
Abstract: This paper considers an integrated inventory-location problem in which a single product is supplied and distributed through a multi-echelon supply chain including a number of suppliers, distribution centres (DCs) and retailers. It adopts the well-known periodic review inventory control policy (R, S) at DCs. The problem is formulated as a mixed integer nonlinear programming problem and is solved utilising a Lagrangian relaxation-based heuristic. One of its main focuses is to reduce processing time, particularly when dealing with large-size problems. This is achieved via an additional step which converts the lower bound of the Lagrangian relaxation algorithm to an appropriate upper bound. Furthermore, we examine all the combinations of the constraints of the model when selecting constraints to be relaxed. The computational results confirm the efficiency of the proposed approach (i.e., an obtained average time of around 8 minutes with an optimality distance of less than 3%).
Keywords: supply chain management; location-inventory; mixed nonlinear integer programming; Lagrangian relaxation.
Improvement of the warehouse reception process by planning and controlling raw material deliveries
by Catarina Chaves, Carina Pimentel
Abstract: Efficient processes and cost savings are key words for the success of todays businesses. Ensuring good warehouse management is part of the strategy, since the lack of organisation, planning and control can have a direct impact on results. Typically, the focus of managers is on supplying production and reducing delays in delivering raw materials. However, the lack of control on the arrival dates of the material it may contribute to the increase in logistical costs. This paper proposes a heuristic for scheduling raw material deliveries, based on the volume and financial value of orders, using the backward scheduling technique. Through a case study in a telecommunications company, its application was simulated revealing that, in collaboration with suppliers, it is possible to obtain improvements in the management of warehouse human resources with the prior scheduling of material deliveries; in space management and in financial management.
Keywords: warehouse management; receiving process; early deliveries; lean warehousing; planning; JIT delivery; backward scheduling.
Green Logistics in China: A Systematic Literature Review
by Maurice Osewe, Yangyan Shi, Aijun Liu
Abstract: Despite the increasing impact of logistics on environmental issues, a comprehensive and updated assessment of green logistics existing literature is lacking. This review aims to bridge this gap by presenting a systematic literature review of green logistics in China. The authors applied the systematic literature review to collect green logistics publications from 2010 to 2020. The review provides insights into the essential dimensions of green logistics in transport and logistics service firms using an analytical approach based on green transportation, green warehousing, and green packaging. Despite the number of published articles having increased significantly since 2016, some areas remain under-researched such as the green logistics cycle model, topographical transportation and technical gaps, and intelligent green logistics. Numerous research gaps have been identified in the subject areas, and a set of propositions have been suggested to form the future research agenda.
Keywords: green logistics; sustainable logistics; literature review; a green warehouse; green packaging; green transportation; China.
Optimal ordering policies in economic production quantity (EPQ) model with exponential time dependent demand and diminishing release strategy
by Rakesh Tripathi, Manjit Kaur
Abstract: Demand for any product at a given price is its quantity which will be bought or sold per unit of time at that price. The demand of any type of item depends on production produced by manufacturer. The food preparation and cooking in restaurants and hotels depend on customers demand. In this study, an EPQ model for exponential demand is established. The production rate is considered to be greater than demand rate. The mathematical model is offered to locate the best possible lot size, cycle time and total cost. It is also measured that the production rate is larger to demand rate. The model is certified using numerical example. The sensitivity analysis is conversed for variation of a number of parameters. It is also shown that the total cost is convex with respect to time. Mathematica 7.0 software is used for finding the numerical outcomes. The paper categorises research leanings and comprises numerous submissions for future research directions.
Keywords: production; inflation induced demand; reduction; optimal; quantity.
A macro-view of the supply chain management adoption status in India: Insights from manufacturing firms
by Srichandan Sahu, Narayana K.V.S.S. Rao
Abstract: A macro-view of the supply chain management (SCM) adoption status in India is absent. Insights on the quantum SCM adoption, the process areas of adoption, the reasons for the adoptions and non-adoptions, and a comparison of the adopter and non-adopter firms in terms of process capabilities and firm performance are also not covered in the previous literature. The present study has created a comprehensive macro-view of SCM adoption in India based on a survey of the large manufacturing firms in India. This study finds that SCM adoption in India is low. The findings also emphasise that business case preparation is an important precursor to SCM adoption. SCM adoption results in a positive return on investment (ROI), with a lag of one to five years. Adopter firms were found to have higher operational performance, and market share than non-adopter firms. The findings of this study have practical managerial implications for practitioners, SCM vendors, consultants, researchers, and industry bodies.
Keywords: supply chain management; SCM; adoption; diffusion; barrier; SCM macro-view; India; survey; process capability.
A Proposal of Selection and Analysis of Criteria for Sustainable Supplier Selection Based on Fuzzy DEMATEL
by Leticia R. Rodrigues, Lucas Calache, Lauro Osiro, Gilberto Miller Devós Ganga
Abstract: The proper sustainable criteria selection is an essential phase in the decision-making process for sustainable supplier selection. This study presents a decision-making model based on the application of the fuzzy DEMATEL technique to select sustainable criteria and evaluate the relationships among them for supplier selection problems. The criteria used were based on the triple bottom line dimensions (economic, environmental, and social). The DEMATEL operations were performed using triangular fuzzy numbers to represent the linguistic terms of experts judgments. The DEMATEL causal diagram shows the degree of importance and influence of each criterion, which is analysed by managers to select the most relevant ones. The proposed model was applied to a real case of a glass packaging company. The application results show a consensus among experts perspectives and a clear understanding of sustainable criteria importance and their interrelationships, which can be used for the development of company sustainable strategies.
Keywords: sustainable supplier selection; fuzzy set theory; FST; DEMATEL; multi-criteria decision making; MCDM.
Qualitative exploration of issues of Indian generic medicine supply chain using ISM-MICMAC
by Shweta ., Dinesh Kumar
Abstract: The current research scenario necessitates an integrated supply chain, as integration would result in improved transparency and flexibility and reduced waste. To develop an integrated supply chain, efforts are made to build a qualitative model based on an Indian generic medicine companys case study. Field survey, interview and brainstorming sessions identified 20 essential issues that function in integration. A structural model using the interpretive structural modelling (ISM) technique has been developed to show the interrelationships among the issues of generic pharmaceutical supply chain (GPSC). Results reveal that the total cost to the customer has been driven by time to fulfil customers orders, vendor selection process and transportation cost. Warehouse design consumes maximum time, cost and resources driven primarily by quality control, monitoring and stock-keeping units.
Keywords: pharmaceutical supply chain; PSC; interpretive structural modelling; ISM; qualitative analysis; healthcare; generic medicine.
Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach
by Anyi Reyes, John Wilmer Escobar, Julio Londoño
Abstract: The supplier selection problem (SSP) determines the choice of the best suppliers by considering qualitative and quantitative criteria. This paper proposes a two-stage hybrid methodology for selecting suppliers using the K-means grouping technique and the multi-criteria decision-making technique for order performance by similarity to ideal solution (TOPSIS). In particular, suppliers are grouped according to the K-means algorithm using diverse purchase categories of services and goods. Once the groups of suppliers with the best performance have been generated by considering several criteria, the TOPSIS algorithm establishes their ranking. The proposed approach seeks to minimise the purchase cost by selecting the suppliers with the best results under different criteria. The former methodology has been tested in a real case on a company belonging to the agro-industrial sector in Colombia. The obtained results show the efficiency of the proposed approach.
Keywords: supplier selection; k-means grouping method; MCDM; supply chain management; TOPSIS.
The effects of information technology-enabled supply chain ambidexterity and their indirect effect on firm performance: An empirical study conducted under environmental turbulence
by Adilson C. Yoshikuni, Frederico Ribeiro Galvão
Abstract: This study draws on the dynamic capabilities view and examines how information technology capabilities (ITC) enhances supply chain ambidexterity (SCA) and firm performance (FP); in which SCA is a combination of market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) geared at addressing changing customers needs under environmental turbulence. This survey is based on data from 235 Brazilian companies and analysis done using partial least squares path modelling (PLS-PM). The results suggest that ITC influences SCA in sequence to enhance FP. SCA in environments with higher turbulence enables firms to gain superior performance. The survey shows that this is more prevalent in the manufacturing sector compared to other industries. Additionally, the findings demonstrated that the relationship between ITC and FP was mediated by SCA. The study is one of the first to develop a supply chain ambidexterity measure that integrated market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) enabled ITC.
Keywords: information technology; IT; information technology capabilities; ITC; supply chain ambidexterity; SCA; operational adjustment; environmental turbulence; market sensitivity; firm performance.
Energy inefficiency in last mile logistics: a solution proposal in Smartcities
by Rubén Sainz González, Valeriano Martinez, Ingrid Mateo-Mantecón
Abstract: The population increase in urban areas poses a great challenge for public authorities and it has intensified the search for innovative ways to handle urbanisation with minimal impact on environment, citizen lifestyle and governance. Smart city emerged as a solution to address the challenges posed by urbanisation and population growth and can be very useful to reduce energy inefficiency derived from last mile freight. The integration of information and communication technology (ICT) with city operations provides an opportunity to develop new and innovative solutions to meet urban challenges. In this context, the Spanish city of Santander developed the SmartSantander Project, funded by the European Commission, to improve energy efficiency and traffic regulation through the internet of things (IoT). This paper aims at improving last mile logistics by proposing alternatives that take advantage of smart city infrastructure to reduce the negative side effects of transport activities.
Keywords: urban freight; last mile; logistics; urban consolidation centres; UCCs; superblocks; energy efficiency.
EXPLORATORY ANALYSIS OF THE VIABILITY OF CROWDSOURCED DELIVERY IN EGYPT: DEVELOPING A PEER-TO-PEER PLATFORM
by Karim Soliman
Abstract: Peer-to-peer (P2P) crowdsourced delivery is considered one of the services offered through the crowdsourced delivery platform by pairing locals willing to dispatch small packages and parcels with dedicated couriers or commuters travelling the same way. The main aim of this research is to assess the viability of the crowdsourced delivery notion in Egypt through a P2P platform to link parcel owners and commuters who are willing to participate in such a process for an easy, smooth, quick and ecological parcel delivery. This study is considered an exploratory analysis adopting a deductive approach and relying on quantitative research methodology based on a quantitative data collection method using a questionnaire. The respondents reactions towards applying such innovation in Egypt were quite encouraging and promising great chances of success. This research adds to the concept of crowdsourcing delivery in Egypt, while critically exploring opportunities and challenges for all stakeholders involved in the P2P process.
Keywords: peer-to-peer; P2P; crowdsourced delivery; commuters; last-mile delivery; Egypt.
Green Supply Chain Management Influences on the Environmental and Operational Performance: A Case study of the Printing Industry
by Mohammed Obeidat, Nader Theeb, Muna Bellih
Abstract: Environmental awareness has recently increased dramatically worldwide. This results in adopting several environmental preservation methods, such as the green supply chain management (GSCM) practices. This paper discusses the impacts of implementing GSCM practices on the environmental (EP) and operational performance (OP) considering a printing press industry in Jordan. Several GSCM practices were implemented at a printing press in Jordan. Collected data before and after implementing the GSCM practices were analysed statistically considering the multivariate analysis of variance (MANOVA) and the analysis of variance (ANOVA). Results showed that the internal environmental management (IEM) has positively decreased waste generation and increased operational quality. However, IEM has negatively decreased the associated noise. This was quite the opposite of waste management and green procurement methods, which showed positive effects on decreasing noise. Waste management also participated in decreasing diesel consumption. In addition, green transportation has a negative effect on decreasing new orders delay.
Keywords: green supply chain management; GSCM; environmental performance; operational performance; printing industry; statistical analysis.
Mitigation of High Consequence Supply Chain Disruptive Effects on Stores and Consumers
by Varinder Sharma, Dinesh S. Dave, Ajay Aggarwal, Kiran S. Sharma
Abstract: High consequence supply chain disruptions adversely affect stores and consumers. The stores inherit prolonged stockouts resulting in loss of consumer trust and commitment and their patronage leading to substantial losses. Consumers feel compelled to pay inflated prices at grey markets, patronise other outlets, or learn to live without them. There is a dearth of studies offering strategies to mitigate such disruptive effects quickly and cost-effectively thereby leaving a gap in supply chain strategies, which this study attempts to fill by offering a novel implementable model using the repurposed marketing strategies. The model suggests that the stores can mitigate such disruptive impacts by regaining consumer trust and commitment. This study contributes substantively to the supply chain strategies and builds a bridge for future development and testing applications of re-purposed strategies to specific types of high consequence disruptions. This study furnishes purposeful managerial implications and directions for future research.
Keywords: supply chain; high consequence disruption; mitigation; marketing strategies; trust; commitment.
Dairy Industry in India
by Narassima MS, S.P. Anbuudayasankar, Vineesh D
Abstract: Dairy manufacturing is one of the oldest sectors that involve the production of liquid milk, ghee, curd, butter, etc. The sector has witnessed transformation with ages by serving people with many dairy-based products as needed. Dairy farmers have been resilient in handling the pandemic with the support of the government through societies. Yet, risks could be handled better by redefining the traditional production process and attracting more farmers to join societies. The present study is structured into three phases. The first phase assesses the economic impact of the pandemic on the Indian dairy sector in terms of gross production value. The second phase involves a case study conducted on a dairy manufacturing unit using a simulation approach. Recommendations based on supply chain. The final phase involves an empirical study with dairy farmers to understand various aspects of dairy farming. Implications have been provided to improve the sustainability of the sector.
Keywords: dairy industry; simulation modelling; economic impact assessment; empirical study; supply chain management.
Assisted discovery of optimal solution for logistics problems using ontology modeling
by Adeel Ahmad, Mourad Bouneffa, Hayder I. Hendi, Cyril Fonlupt
Abstract: The logistics processes conjointly execute various physical and logical tasks. The physical tasks may concern the elements such as goods to be transported, vehicles, and human resources. Whereas, the logical tasks are generally accomplished by software units that can be fully automatic or interactive such as optimisation methods or event management, etc. The logistics problems are often complex np-hard combinatorial optimisation problems. In this paper, we define the shared conceptual vocabulary concerning the logistics problems and inherent optimisation solutions. The result of the work is a knowledge base system, which is formalised and implemented as a set of ontologies. These have been used as key components of a tool that may assist the logistics expert to identify the related optimisation methods to solve the concerned problem and eventually list the available corresponding web-services implementing them.
Keywords: optimisation ontology; transportation optimisation; automated transportation; optimisation methods; decision support systems; logistics ontology; vehicle routing problems; VRPs.
Theoretical relationship between the cluster size of orders in the materials requirement planning
by Fabricio Orlando Sanchez Varretti, Tania Daiana Tobares, Margarita Miguelina Mieras, Ricardo Raúl Palma
Abstract: In times of globalisation and competitive markets, it is crucial for organisations to focus their activities on processes planned to promote efficiency. Material requirements planning addresses the need to consider various alternative techniques of organisation in order to acquire the capacity for constant adaptation to demand. The objective of our work is to develop a model that allows us to determine the optimal lot sizing with lower costs by using a mathematical model applicable to all the options of material requirement. The study focuses, analytically and graphically, on the behaviour of the system when clusters are carried out in certain set of orders. It is intended that organisations take advantage of the generation, integration and analysis of data throughout the production process for real-time decision making.
Keywords: lot sizing; materials; clusters; optimisation.
Supply Chain Versus Value Chain: Mapping the Boundaries within a Hirschmanian Framework
by Prosper K. Hoeyi
Abstract: Among the many contributions made to supply chain theory are those related to the topography of supply chains. While this paper agrees that different supply chains may be shaped differently, it finds it difficult to accept the notion of a supply chain whose terminal point is not the customer. Therefore, this theoretical paper argues that a supply chain will remain largely vertical in shape even if aspects of it take different shapes. To bring clarity to this argument, the paper defers to Hirschmanns framework where supply chain is discussed alongside the related concepts of economic sector, linkages, and industry. Doing so results in a conceptual framework that maps the place of the supply chain in the wider economy and proving that a supply chain is essentially vertical in shape and that value chain is associated with backward linkage whereas supply chain is associated with forward linkage.
Keywords: diversification; industry; integration; linkages; sector; synergy.
Modeling the Factors Affecting the Adoption of Mobile Supply Chain Management in the Food Distribution Industry
by Ameneh Khadivar, Hamideh Nazarian, Saiedeh Salemi
Abstract: Mobile supply chain management (mSCM) can be considered as a solution to reduce costs and increase competitive advantage. Thus, this study aims to identify the key factors affecting the adoption of mSCM systems and explore their importance in the food distribution industry. For this purpose, a survey has been conducted among 90 companies active in the food field, and the required data was collected through a questionnaire distributed among experts and managers of these companies. Data analysis was carried out via structural equation modelling. Constructs of the research model are obtained from the combination of technology, organisation, and environment (TOE) theory and inter-organisational relationships theory (IOR), which is prioritised from the users point of view as IOR factors, environmental factors, organisational factors, and technological factors. Besides, research findings show that in the IOR dimension, as the key factor in the adoption of mSCM, 'information sharing' is far more substantial.
Keywords: supply chain management; SCM; mobile supply chain management; mSCM; adoption model.
Reference Framework for Material Handling Equipment Selection in Distribution Centers
by German Guillermo Torres-Hernández, Rafael Guillermo García-Cáceres, John Escobar-Velásquez
Abstract: The current paper proposes a methodology intended to facilitate decision making in material handling equipment selection (MHES) contexts in which distribution centre (DC) design or redesign is needed. A list of 119 decision criteria and 134 equipment alternatives is presented, all of them obtained from a survey on the material handling systems market and a literature review. The focus of the present work is the introduction of a MHES methodology comprising 12 steps and a series of components that provide a solid reference when it comes to facilitating the decision-making process. A study case is developed in a well-known Colombian 3PL (Third-Party-Logistics) firm. In it, seven usually unheeded equipment alternatives were qualified by means of 18 criteria. As one of the few existing public environment decision techniques, SMAA-O was selected as the current multi criteria decision making (MCDM) procedure due to its capability to handle different types of information simultaneously.
Keywords: distribution centre; DC; design; material handling equipment selection; MHES; multiple criteria decisions making; MCDM; SMAA-O; storage racks; supply chain.
Enterprise production activity modeling with performance and risk criteria of working capital structure
by Mark Gorskiy
Abstract: he objective of the study is to develop and adapt mathematical models and methods for optimising its production and financial sectors parameters for a production company in the construction industry, with the efficiency and risk criteria and restrictions on production, technological, financial and resource potential. The article presents the rationale for the proposed approach, the formulation and mathematical models of choosing the optimal options for the production programs of the enterprise and their financing; numerical algorithms for solving the problems in continuous and integer versions, including new methods for solving nonlinear discrete NP-complete problems; implementation scenarios, implementation options and conclusions based on empirical calculations using the developed models and methods.
Keywords: production enterprise; working capital; cost efficiency; capital structure risk; capital leverage; optimal capital structure; linear programming; nonlinear programming; convex programming.
Reducing the Carbon Footprint of Road Freight Transport for Egyptian Companies: The Application of the Analytic Hierarchic Process
by Sahar Elbarky, May Salah
Abstract: Transportation is a significant source of carbon emissions and other toxic discharges. This study investigates and ascertains the most appropriate strategies to minimise carbon emissions caused by the transportation sector in Egypt. The analytic hierarchy process (AHP) was applied as a multiple-criteria decision-making tool. A survey was developed to collect information on a pair-wise comparison of predefined reduction criteria for carbon emissions and determine viable alternatives. A case study was also conducted to validate the findings obtained through AHP. The results of the applied methodology indicated that transportation management recorded the highest preference score of 40%, followed by the logistics system design at 28%, model choice at 14%, vehicle technology at 9% and the use of alternative fuel at 6%. A massive reduction of the carbon footprint was registered in the case study of implementing the best-selected strategy. The research assists logistics practitioners in enhancing their environmental performance.
Keywords: carbon footprint; CO2 emission mitigation strategies; climate change; analytic hierarchy process; AHP; green transportation.
Fuzzy Logic for Measuring Performance of Traditional Aquaculture Fish Supply Chain By Considering the Environmental Impacts
by Dzakiyah Widyaningrum, Said Salim Dahdah, Rika Ampuh Hadiguna
Abstract: This research measure aquaculture fish supply chain (SC) performance using fuzzy logic. SC performance needs to be measured to assess how well it is. It must be done by consider the uniqueness and complexity. SC is complex system due to its uncertainties, many actors, and different indicators. Extensive aquaculture fish is a perishable product, seasonal, and high dependence on nature. The high dependence on nature is greatly influenced by the environment around the pond. These make the aquaculture fish SC also unique. The uniqueness and complexity will make it difficult to determine the level of SC performance. This difficulty can be overcome by using fuzzy. The respondents in this study were six experts in the SC. There are seven criteria to measure, i.e., facility, flexibility, efficiency, quality, responsiveness, government involvement, and environment. The result found that the overall SC performance is extremely good, with the distributors have the lowest performance.
Keywords: supply chain; performance measurement; aquaculture; fish; environment; fuzzy logic; linguistic scale.
Developing a supply chain management maturity model based on the process approach: An adaptive framework for improving operations performance
by Gholam Reza Nasiri, Behrooz Karimi, Mohammad Najjartabar Bisheh, Jalil Heidari
Abstract: In this study, a hierarchical framework for enhancement of supply chain performance has been developed based on maturity model concepts. The proposed structure consists of five integrated levels, and after evaluation each supply chain will be placed in one of these maturity levels. The most important feature of the developed model is creating an exact relationship between various supply chain management areas and supply strategies. Therefore, the position and transposition of each component will be carefully determined. In addition, some statistical hypotheses have been designed and experimental analysis of the maturity levels has been conducted to further model property analysis and discussion. To this end, a comprehensive questionnaire was distributed between supply chain/logistics experts from 20 companies to evaluate the level of maturity and organisation capability. Considering the identified weaknesses, strategies and action plans to improve the level of maturity are defined and the main output of the model is discussed.
Keywords: supply chain; maturity model; excellence of networks; network efficiency; supply chain adaptability; sustainable; operations performance; assessment of performance.
Enhancing operational performance through supply chain integration: the mediating role of resilience capabilities under COVID-19 pandemic
by Mahmoud Barakat, Ahmed Ali, Tarek Madkour, Ahmed Eid Awad Allah
Abstract: Todays business environment is characterised by rapid market fluctuations because of COVID-19. Drawing on resources-based view and resilience theory, this research proposes a framework in which supply chain integration (SCI) (internal, supplier and customer integration) can be used to enhance operational performance (OP) through four resilience capabilities (flexibility, redundancy collaboration and visibility) under COVID-19. Structural equation modelling was used to investigate the relationships among the research variables using 468 questionnaires from SMEs in the Egyptian market. Results indicated that there is a lack of direct impact from SCI to OP, except for internal integration and cost performance. In addition, resilience capabilities can significantly mediate the relationship between SCI and OP. Testing the relationships among the research variables under COVID-19 conditions will help in extending the theories. in addition, this will offer in depth understanding of the interrelationships between supply chain integration, resilience and operational performance.
Keywords: operational performance; supply chain resilience; SCR; supply chain integration; SCI; environmental uncertainty.
Evaluating Supply Chain Resilience: A Resilience Capacity Perspective
by Zikai Zhou, Seyedmohsen Hosseini
Abstract: Supply chain resilience (SCR) is the ability of a supply chain to maintain, resume, and recover operations aftermath of a severe disruptive event, which is one of the key factors within the field of supply chain management. This study reviews and summarises the existing literature on SCR and proposes a conceptual model for the evaluation of SCR from a resilience capacity perspective. Measurements for three resilience capacities were developed and data were collected from supply chain managers across different industries in the USA to evaluate the proposed research model. This research provides a new framework for the evaluation of SCR in terms of three lines of defence from the empirical perspectives and provides the companies with a useful and substantial tool in dealing with potential threats or disruptions from those supply chain risks.
Keywords: supply chain resilience; SCR; supply chain risks; resilience capacities; risk management performance; absorptive capacity; adaptive capacity; restorative capacity.
Logistical outsourcing in a virtual digital world: the dilemma for logistics service providers
by Mauro Vivaldini
Abstract: This paper contextualises the impact of the transformations, arising from an increasingly virtual digital world, on logistics service providers (LSPs). The influence of changes driving logistical services to ever-increasing immediacy is also examined. As this paper addresses a still recent topic in the literature, with a restricted and limited research focus (logistical immediacy), this paper adopts a systematic literature review as the research method. A proposition concerning the dilemma faced by LSPs is constructed by highlighting aspects related to opportunities and implications, questioning the current model of logistical services adopted by companies. In addition to this contribution, the study presents several insights capable of leading to new ideas and new research avenues.
Keywords: digital technology; e-commerce; logistic platforms; logistic service; logistical immediacy; logistics service providers; LSPs.
Operational Efficiency in Brazilian Airports: An Analysis through the Hierarchical Linear Modeling with Repeated Measures
by Patrícia Belfiore, Luiz Paulo Lopes Fávero, Ricardo G. Serra, Rafael Freitas Souza
Abstract: We analysed the efficiency of the 30 largest Brazilian airports during 20142018 using a two-stage model. In the first stage, we determined the airports operational efficiency; in the second stage, we identified variables explaining that efficiency. The first stage used data envelopment analysis and the second stage estimated a three-level hierarchical linear model with repeated measures. We concluded that: 1) location played an important role in airport efficiency; 2) efficiency decreased, on average, over the analysed period; 3) the interest rate (the only significant economic factor) negatively affected efficiency; 4) the number of aircraft parking positions, airport years of experience, and number of airlines positively affected efficiency; 5) the governance structure (public, private, or mixed), airport size, number of commercial establishments, and number of vehicle parking lots did not significantly affect efficiency variability; 6) our novel approach produced a better prediction in comparison to traditional regression methods.
Keywords: data envelopment analysis; performance analysis; three-level hierarchical linear model with repeated measures; efficiency and productivity; airport: Brazilian.
An integrated methodology based on machine-learning algorithms for biomass supply chain optimization
by Duy Nguyen Duc, Narameth Nananukul
Abstract: This paper presents an integrated methodology for biomass supply chain planning, using a stochastic optimisation model and machine-learning algorithms. A methodology that integrates machine-learning algorithms with the optimisation process was proposed in order to generate solutions for large-scale supply chain optimisation problems. Models based on artificial neural network (ANN) and Bayesian network were developed by using the knowledge from previously-solved problems, to define good starting points for the search for solutions in the optimisation process. With this novel approach, the search space can be reduced and optimal solutions found with a shorter runtime. The applicability of the proposed approach was evaluated with a case study relating to biomass supply chain planning in the Central Vietnam region. The results from the proposed framework reveal that the optimal biomass plan for biomass supply chain can be determined with accuracy up to 96%, with a decrease in runtime by 37.19% on average.
Keywords: machine learning; optimisation; relaxation induced neighbourhood search; biomass supply chain planning; artificial neural network; Naïve Bayes; Bayesian network.
The influence of supply chain strategies on manufacturing competitiveness
by Benitha M. Myamba, Deusdedit A. Rwehumbiza
Abstract: The current shift of competition from between firms to supply chains makes supply chain strategies a valuable way of improving manufacturing competitiveness across the globe. However, the relationship between the supply chain strategies and manufacturing competitiveness has been treated piecemeal. This study examines the relationship between the supply chain strategies and manufacturing competitiveness through the resource-based view (hereinafter RBV). The study adopts a positivist philosophy and survey strategy. With the assistance of partial least squares structural equation modelling (PLS-SEM) the hypothesised relationships between the supply chain strategies and manufacturing competitiveness are tested with data from 300 manufacturers. The findings indicate that the supply chain strategies are positively related to manufacturing competitiveness. These findings provide support to the RBV, that internal resources are crucial for devising efficient and effective supply chain strategies. This study advances the existing knowledge of supply chain management and firm performance by linking supply chain strategies to manufacturing competitiveness. Furthermore, the results may help manufacturers to allocate resources to key supply chain strategic areas for superior competitiveness.
Keywords: supply chain; supply chain strategies; efficiency; responsiveness; risk hedging; agility; manufacturing; manufacturing competitiveness; resource-based view; RBV.
Reliable and Flexible Supplier Selection Problem: A Genetic Algorithm Inspired Simulation Approach
by Sangeeth P. Das, VISHNU C. R., M.N. Anish, Rajagopalan Sridharan, P.N. Ram Kumar
Abstract: Strategic decision making in a supply chain commences with a proper sourcing plan. Disruptions in the supply side will certainly inflict cascading effects throughout the chain. To minimise this vulnerability, the procurement system should be incorporated with strategic risk mitigation capabilities like reliability and flexibility. However, the financial implications for improving risk management capabilities and the absence of a suitable decision support system to handle the inherent computational complexities restrained enterprises from upgrading their systems. The present research intends to meet this requirement by proposing a novel multi-objective mathematical model to prepare a procurement plan that optimises reliability and flexibility together with different cost components. Since the proposed model contains nonlinear constraints and mixed-integer variables, we present a simulation-based optimisation methodology inspired by genetic algorithm to solve the model. An illustrative problem is solved, and the managerial implications are discussed to exhibit the scope of the proposed model.
Keywords: supplier selection; order allocation; multi-objective; reliability; flexibility; simulation.
DYNAMIC MODELS OF TRANSPORT RESOURCES MANAGEMENT
by Aleksandr Mishchenko, Oleg Kosorukov, Olga Sviridova
Abstract: The article discusses various models for managing transport resources, the purpose of which is to distribute a finite number of transport units along several routes of land urban transport. The values reflecting the timeliness of transport services provided to the population were taken as the optimisation criteria when searching for a solution. So, for example, models were considered when it was required to minimise the total loss of time waiting for transport services, as well as the number of passengers whose waiting time exceeds a certain critical value. In addition, a stochastic model of transport resource management was considered, when various scenarios of the development of events were taken into account (different intensities of passengers arriving at stops). Methods for assessing the stability of solutions obtained using the branch and bound methods were proposed.
Keywords: optimisation problem; urban passing of transport; branch-and-bound method; stochastic model.
Covid-19 Pandemic Supply Chain Disruption and Simulation of Retail Store Resilience
by Varinder Sharma, Ajay Aggarwal, Dinesh S. Dave
Abstract: The uncontrollable spread of the COVID-19 pandemic and countries countervailing responses to mitigate its impact on their people led to prolonged stockouts of essential consumer products, resulting in consumer panic buying, which further exacerbated the stockout crisis. The retail stores were unable to mitigate this crisis. This study offers a conceptual framework for retail stores to become resilient to such disruptions in the future using their existing resources and capabilities. Later, we illustrate the testing of the framework using simulation methodology. The results demonstrate that stores can quickly and cost-effectively mitigate stockouts by deploying appropriate substitute products, discounts, return policies, demand containment, and effective communication with consumers. Finally, we furnish implications for supply chain resilience and retail managers and describe the studys limitations.
Keywords: supply chain resilience; prolonged stockout; high consequence disruptions; HCDs; simulation of resilience; extant resources and capabilities.
Cooperative advertising in manufacturer
by Amin Zaheri, Majid Rafiee
Abstract: This paper considers one manufacturers and one retailers behaviours in a two-level supply chain under cooperative and non-cooperative relationships. The non-cooperative relationships are modelled through three games including Stackelberg-manufacturer, Stackelberg-retailer, and Nash game; moreover, the cooperative relationships are modelled by one cooperative game. In the two-level supply chain, the demand is sensitive to national brand name advertising, local advertising, and price. Furthermore, inventory costs including holding costs, shortage costs, and ordering costs are considered. The aim of this research is to compare the members behaviours and profits in the different types of relationships, and in a situation, we find out whether the members prefer to transfer from a game to another game or not. A numerical example is presented in an effort to analyse the members decision in the different types of relationships; in addition, a method is presented in order to improve variables which are determined by a contract.
Keywords: cooperative game; Stackelberg game; inventory costs; supply chain coordination; co-op advertising.
A Systematic Review and Research Direction on the Interaction between Organisational Factors, Supply Chain Risk Management, and Biodegradable Plastics
by Taofeeq Durojaye Moshood, Gusman Nawanir, Fatimah Mahmud, Fazeeda Binti Mohamad, Mohd Hanafiah Ahmad, Airin AbdulGhani
Abstract: Supply chains have become more dynamic, intertwined, and interdependent due to this process of globalisation. These supply chains are also marked by external uncertainties, such as fluctuations in the currency exchange rate, adjustments in the import tax rate and so on. Thus, a business needs to achieve a strategic edge to handle global supply chain uncertainty and related risks. This study focused on the link between organisational factors and the management of biodegradable plastics supply chain risk management to sustainability, as well as the role of coercive pressure as a moderating variable. The use of intelligent supply chain risk management of biodegradable plastics is critical to focus on environmental challenges while also managing economic and social advantages. This research will also determine the level of biodegradable plastics risk management in the supply chain and build a risk management supply chain system to help Malaysias biodegradable plastics increase substantially.
Keywords: biodegradable plastics industry; supply chain risk management; coercive pressure; organisational control theory; contingency theory.
Framework for warehouse receiving process design and implementation
by Bruno Machado, Carina Pimentel, Sara Costa
Abstract: The warehouse management is one of the main tasks to be performed in an industrial company since it guarantees the efficiency of the processes linked to the warehouse, satisfying the needs of the downstream areas within the company. The receiving process is crucial to the management of a warehouse and it was found as a lack of literature since few articles have this topic within its scope. The purpose of this paper is to present a conceptual framework and provide practitioners and project managers with a step-by-step method when designing a warehouse receiving process. Furthermore, a case study is also presented where the main objective is the implementation of the framework and test its validity. The main contribution of this paper is the conceptual framework as a guideline for warehouse receiving process design and also the detailed description of a successful implementation of the framework in a real case study.
Keywords: warehouse management; receiving process design; framework; case study; discrete-event simulation.
Deep learning in Logistics: systematic review
by Khaoula Sahraoui, Samia Aitouche, Karima Aksa
Abstract: Logistics is one of the main tactics that countries and businesses are improving in order to increase profits. Another prominent theme in todays logistics is emerging technologies. Todays developments in logistics and industry are how to profit from collected and accessible data to use it in various processes such as decision making, production plan, logistics delivery programming, and so on, and more specifically deep learning methods. The aim of this paper is to identify the various applications of deep learning in logistics through a systematic literature review. A set of research questions had been identified to be answered by this article.
Keywords: logistics; deep learning; state of the art; systematic literature review; SLR.
The impact of green and sustainable supply chain management practices on sustainable performance: A comparative analysis
by Imane TRONNEBATI, Fouad Jawab
Abstract: The objective of this paper is to provide a comparative analysis of the impact of green supply chain management (GSCM) and sustainable supply chain management (SSCM) practices on sustainable performance (SP) (economic, environmental and social). This analysis will help companies to choose between GSCM and SSCM practices according to their needs. This study has provided a classification of the 16 supply chain (SC) practices influences on the three performances. Another categorisation of GSCM and SSCM practices among 16 SC practices was established based on literature articles. Finally, a comparison was made between the effects of GSCM and SSCM practices on each sustainable performance. The results found a positive relationship between SSCM practices and the three dimensions performance: economic (50%), environmental (34%), and social performance (33%). Moreover, the GSCM practices have a significant impact on the environmental performance (58%) and economic performance (29%), but no influence on social performance was discovered.
Keywords: green; sustainable; supply chain management; SCM; supply chain; SC; GSCM; SSCM; practices;.
Maintenance Excellence and CMMS Criteria Choice in The Context of Small Hospital and Health Care Organizations
by Said Echchakoui, Jean-Philippe Dion, Noureddine Barka, Sasan Sattarpanah Karganroudi
Abstract: As medical equipment has become more complex and expensive, the maintenance of this equipment requires special attention to improve outcomes and reduce costs notably in the small hospital and healthcare organisations (SHHOC). This research explores how SHHOC can improve maintenance management according to the maintenance employees views, and what characteristics of CMMS can help these organisations to reach maintenance excellence. Based on qualitative research method, specifically a multi-case study, the research is conducted on 43 of 68 maintenance employees of small material maintenance services in three regions in the Est of Quebec. This research is a very beneficial source of information both for maintenance managers and stakeholders in making decisions about the maintenance excellence program and selection of CMMS. To the best of the authors knowledge, this paper is the first to address maintenance excellence and CMMS software selection criteria from the maintenance employees perspective in the SHHOC context.
Keywords: maintenance excellence; small hospital and healthcare organisations; SHHOC; computerised maintenance management system; CMMS; maintenance employees; multi-case study.
Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization
by Risto Heikkinen, Juha Sipilä, Vesa Ojalehto, Kaisa Miettinen
Abstract: We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with ones preference information to find the most preferred solution with acceptable trade-offs. As a proof of concept, to demonstrate the benefits of the approach, we utilise real-world data from a production company and compare the optimised lot sizes to decisions made without support. With our approach, the decision maker obtained very satisfactory solutions.
Keywords: inventory management; data driven optimisation; multicriteria optimisation; interactive methods; Bayesian models; demand forecasting; lot sizing; Pareto optimality; decision support.
Analysis of Machine Learning integration into Supply Chain Management
by Elen Y. Aguirre Rodríguez, Elias C. Aguirre Rodríguez, Aneirson F. Da Silva, Paloma M. Rocha Rizol, Rafael De Carvalho Miranda, Fernando A. Silva Marins
Abstract: The application of machine learning (ML) techniques in supply chain (SC) processes has been gaining popularity over the last years, because ML significantly helps making the SC faster and more efficient, automatising its processes, improving decision making, and mitigating risks, among other benefits that results in cost savings or more profits. The goal of this work was to analyse the existing studies about the integration of ML into supply chain management (SCM), exploring gaps and trends, from a bibliometric analysis of the articles published. The analysis consisted of assessing the total number of published documents between 2000 and 2020. The main contribution of this research was the identification of significant details about the studies conducted involving the integration of ML and SCM, which will help in the development of new studies in this important area.
Keywords: machine learning; supply chain management; SCM; classification; trends; gaps.
An Optimization Model to Increase the Cross-Dockings Operational Utilization
by Vahid Ghomi, Farnaz Ghazi Nezami, Sina Shokoohyar, Mina Ghofrani Esfahani MBA
Abstract: Introducing a new version of a cross-docking assignment problem when forklifts carry bulk materials, we address an operational solution to reduce the impact of forklifts congestion in centre of terminals. We develop a mixed-integer bilinear programming model, a Tabu-search algorithm, where the main objective of the model is still to minimize the total transshipment costs, and additionally trying to minimize the weighted forklifts travelled distance (WTD) and the weighted unloading/loading labour costs at inbound and outbound doors (WLC). We hypothesize that longer WTD could shift the location of weighted forklift congestion concentration from the centre of the terminal toward the sides. We assuming four cost patterns distributions, all are supposed to lead high flows to doors with low labour costs, which ultimately impact the total WTD, WLC, and TTC. The proposed Tabu-search outperform CPLEX by finding a set of a diverse and high-quality solution within a reasonable computing time.
Keywords: cross-docking assignment problem; CDAP; Tabu-search algorithm; optimisations.
A Systematic Review of Motivators, Determinants and Parameters for the Adoption of Electric Freight Vehicle
by Sükrü Imre, Dilay Çelebi
Abstract: The objective of this article is to contribute to the understanding of factors playing a role in the wider adoption of EFVs in commercial fleets by exploring motivational factors leading to fleet managers adopting EFVs. This exploration is based on a review and analysis of the electric vehicles literature, particularly related to commercial fleets and freight transport. Our study differs from the previous studies by providing a more comprehensive literature review and by identifying the factors impacting systems of EFVs over a two-dimensional framework, including financial, operational and behavioural issues. The highlights of the study are provides a comprehensive literature review about the diffusion of electric freight vehicles in commercial fleets, suggests a two-dimensional framework for identifying the factors in adoption of electric freight vehicles in commercial fleets, and gives a summary of factors which is corresponding to the adoption of electric freight vehicles.
Keywords: electric vehicles; freight transportation; literature review; electric vehicle adoption.
Customers Loyalty to the Retail Pharmacy: Present and Future of the Portuguese Market
by Leandro Ferreira Pereira, Letícia Quental, Renato Lopes Da Costa, Álvaro Dias, Rui Gonçalves
Abstract: Pharmacies should retain their customers to ensure their sustainability. The most relevant factors for this are store experience, technological evolution, digital presence, portfolio of services and quality of counselling. The analysis of the methodology was carried out by the
Keywords: pharmacy; customer; engagement; communication; proximity; loyalty.
GSCM Barriers to Sustainable Development in Indian Manufacturing Organizations: A Mixed-Method Approach
by Deepak Kumar Pathak, AJAY VERMA, Vimal Kumar
Abstract: The objective of this study is to identify the major roadblocks to green supply chain management (GSCM) techniques in order to achieve Indias industrial sectors long-term development goals. MICMAC analysis and an interpretive structural modelling (ISM)-based methodology were utilised to categorise the reciprocal interaction of these identified barriers into four groups. Fifteen significant hurdles have been identified based on previous research and expert comments from industry professionals in order to achieve sustainable development goals in GSCM processes. The findings of this study reveal that, of the fifteen barriers identified, the absence of government support systems (AGSS) is the most dependent and influential barrier, while the lack of innovative green practices is the least important barrier. This research also aids in establishing a key foundation for developing a greener manufacturing platform. The findings of the study will aid practitioners, policymakers, and managers in making informed decisions about how to improve the long-term sustainability of Indian manufacturing sectors using GSCM techniques. These GSCM barriers will be implemented with an emphasis on GSCM techniques for a better knowledge of how to prevent significant bottlenecks in todays manufacturing sectors. The uniqueness of this study stems from the necessity of GSCM since most manufacturing companies set up their facilities to be sensitive to economic, social, and environmental changes in order to improve organisational performance.
Keywords: green supply chain management; GSCM; MICMAC; analysis; driver dependence power analysis; interpretive structural modelling; Indian manufacturing industry.
Sustainable Urban Planning using Green Logistics and Effective Garbage Disposal
by Kiruthiga S, Bharat Kumar Sridharan, Balaji K. S, Karthick K, Narassima MS, S.P. Anbuudayasankar
Abstract: Green logistics relates the social, economic, and environmental aspects that form a significant part of the sustainable development model. Considering the aforementioned aspects, the present study examines the use of electric commercial vehicles as part of the
Keywords: green logistics; sustainable cities; green vehicle routing problem; G-VRP; electric commercial vehicles; ECVs.
Ant colony algorithm for heterogonous green vehicle routing problem with split delivery
by Ilkan Sarigol
Abstract: Logistic activities in urban areas are one of the leading reasons for greenhouse gas emissions. A mixed?integer linear programming model is proposed for heterogeneous green vehicle routing problem with split deliveries and time windows by considering different vehicle speeds and types. Random problems are generated and solved with the ant colony optimisation algorithm and compared with the CPLEX solver to validate the algorithm. Finally, a case problem is studied to determine managerial insights. The results suggest that vehicle capacity and type impose GHG emissions. If vehicle type is kept the same, emission released to the environment will decline with increasing vehicle capacity. Higher capacity vehicles generate less GHG emissions in scenarios with increasing demand and traffic intensity. However, small-capacity vehicles perform better in strict time windows. Finally, a reduction in emission with heterogeneous fleets is limited. Homogeneous fleets perform better and generate less emission in most of the scenarios.
Keywords: green vehicle routing; heterogeneous fleet; split delivery; vehicle speed; time windows; ant colony algorithm.
Design of Flexible Truck Appointment System based on Machine Learning approach
by Maurício Randolfo Flores Da Silva, Enzo Morosini Frazzon, Vanina Durski
Abstract: Smart ports are adopting Industry 4.0 concepts and technologies so that more efficient and resilient operations emerge. Real-time data acquired from smart technologies can be deployed to anticipate disruptions and to actively manage hinterland
Keywords: smart ports; smart logistics system; truck appointment system; TAS; flexible schedule; machine learning.
Logistics Performance Index: Internal Influential Approach
by Saleh Fahed Alkhatib
Abstract: This study aims to analyse the influencing factors of logistics performance index (LPI) based on the system theory approach, to further enhancing the superb uses of this index to support economic growth and competitiveness. This study constructs the LPI influencing factors system, and then analyse the comprehensive influence degree, causal relationships, and establish the first LPI influential relationships map using the fuzzy DEMATEL method. This new perspective helps to understand the LPI influencing impact relationships and how each factor affects and affected by the logistics system. International shipment and logistics service quality are the most important factors; infrastructure, logistics service quality, and customs are causal factors. Tracking and tracing, timeliness, and international shipment are effect factors. A new weighting system have been developed and compared with the normal LPI and other studies ranking approaches. New acumens for academia, business, and policy maker have been highlighted.
Keywords: logistics performance index; LPI; fuzzy DEMATEL; logistics factors influential map; logistics and transport policy.
Application of Grey Number to solve Multi-Stage Supply Chain Networking Model
by Abhijit Baidya
Abstract: The grey number is an indeterminate number that takes the value within an interval under probability. In this paper, taking multiple time periods, multi-stage solid transportation problem (MSSTP) are formulated and solved under crisp and grey environment. The deterministic forms of the grey constraints of the grey model are so obtained taking six different situations of grey inequality. The interval objective function renewed into two different objective functions and these multi-objectives converted into a single-objective using mean-width technique. The models are illustrated with numerical examples and solved using the LINGO.13.0 optimisation solver.
Keywords: time-varying network; multi-stage transportation; solid transportation problem; STP; grey number.
Identifying and Modeling Focus and control drivers for Transporters Performance in Downstream logistics of the Indian Oil Sector
by Raj Singh Malik, Manoj Kumar Srivastava, Shailendra Kumar Rai, Imlak Shaikh
Abstract: The objective of this research is to develop an integrated model by identifying and classifying the focus and control drivers for transporters performance in oil industry in India and establish their contextual relationships using interpretive structural modelling (ISM) and MICMAC analysis. Sequential mix method design is used for the study. The expanding petroleum sector and increased completion in Indian markets, has motivated the oil companies to bring in effectiveness in performance to reduce costs to improve their bottom-line. Down-stream logistics cost, that is cost of delivery of product from Terminals/ depots to the retail network and bulk customers, is in focus and exemplary performing transportation system shall ensure the same. The model designed, shall enable the Oil industry management to move from Performance measurement to performance management with clear directions for interventions for exemplary transporters performance as the linkages between the focus and control drivers of transporters performance will help managers to know what is to be focused and how to control and the academicians shall understand the complexity of transporters performance in oil industry in India and instigate them for further research.
Keywords: transportation; interpretive structural modelling; ISM; performance management; focus drivers; control drivers.
Supply chain disruption for crude oil due to the effect of Covid-19 pandemic: Evidence from Vietnam
by Ngoc Vu-Thi-Minh, Bui-Duy Linh, Luan Thanh Le, Giang Hoang-Huong, Son Ta-Anh
Abstract: The operation of the crude oil supply chain under the influence of the pandemic has not been extensively examined, despite its importance as a strategic commodity. Based on a powerful simulation model using real-time data parameters, this study investigates the effects of a worldwide pandemic on the crude oil supply chain. The study indicates a downturn in performance and a disruption in the supply chain, as revealed by the outcome of key performance indicators (KPIs). Green field analysis (GFA) experiments are furtherly implemented for different scenarios to investigate the variation of KPIs. As a result, we propose contingency rerouting as a potentially proactive solution that can support crude oil businesses in the resilience process during the pandemic.
Keywords: supply chain disruption; COVID-19 pandemic; simulation models; greenfield analysis; key performance indicator; financial KPI; customer KPI; crude oil; Vietnam; contingency rerouting.
Exact approach for the Aggregate Production Plan Problem of Machine-Dependent Production Systems by considering stochastic parameters
by Juan Camilo Paz, John Wilmer Escobar, Rafael Guillermo García-Cáceres
Abstract: This paper considers the variability of specific parameters in the aggregate production plan (APP) problem for machine-dependent production systems. The core issue emerges when assessing the APPs configuration by considering such decisions as to the staff size, overtime and subcontracting, and inventory accumulation while reducing the overall production costs. We developed a deterministic mathematical model (MILAPP) and a stochastic mathematical model (SMILAPP) with the minimisation cost as the objective function. The stochastic models decisions are performed in one stage, considering a penalised objective function for unsatisfied and surplus demand due to demand variation. The stochastic models solution strategy is referred to as the sample average approximation (SAA). The effectiveness of the proposed approach is tested in the case of a Colombian multinational corporation. The results show that the proposed approach, which considers the predicted contribution of products and the uncertainty of many parameters, is a strong reference for decision support of APP problems.
Keywords: aggregate production planning; APP; production systems; variability of parameters; sample average approximation; SAA; stochastic linear programming.
Dynamic planning design of three level distribution network with horizontal and vertical exchange
by Abdennour Ilyas Benfriha, Lamia Triqui-Sari, Aimade Eddine Bougloula, Mohammed BENNEKROUF
Abstract: Inventory management in distribution networks remains a challenging task due to the demand nature and the limited storage capacity. In this work, we study a three-level, a multi-product and a multi-period distribution network consisting of a central warehouse, three distribution centres and six wholesalers. Each of them faces a random demand. In order to optimise the inventory management in the distribution network, we first propose to make a horizontal cooperation between actors of the same level in the form of product exchange; then we propose a second approach based on vertical-horizontal cooperation. Both approaches are modelled as a MIP model and solved using the CPLEX solver. The objective of this study is to analyse the performance in terms of costs, quantities in stock and customer satisfaction.
Keywords: inventory management; distribution network; supply chain; product exchange; cooperation.
Comparison of Metaheuristic Approaches for Parcel Delivery Problem
by Shamine Moganathan, Siti Noor Asyikin Razali, Nabeel Almaalei, Kavikumar Jacob
Abstract: Ever since the coronavirus disease-2019 (COVID-19) outbreak, people plump for e-shopping, and it causes the delivery company to receive bulks to be delivered to customers. The complication arises when the delivery man needs to transport parcels to a vast number of houses in a trip. Due to this, they seek the shortest path in the trip to minimise the delivery cost and also the time. Hence, this study aims to scrutinise the shortest path, including runtime because the delivery problem has been categorised as an NP-hard problem. Thus, we proposed two metaheuristic techniques to be compared in this study which are ant-colony optimisation (ACO) and genetic algorithm (GA). In a nutshell, the results show that the GA technique performs better than the ACO technique in terms of distance, price, and runtime for moderate data size, which is less than 50 locations, as there were some enhancements on the methods used.
Keywords: ant-colony optimisation; ACO; genetic algorithm; delivery problem; comparison; cost; runtime.
Evaluation of Green Suppliers in Garment Industry in Jordan Using Multi-Criteria Decision Making Methods in Fuzzy Environment
by Khalid Alzoubi, Esraa Abdel All, Bahaa Al-Migdady
Abstract: This study utilises a comprehensive fuzzy multi-criteria decision making (FMCDM) approach to evaluate and select green suppliers considering environmental criteria. In this work, two approaches were used to calculate the weights of environmental criteria used in the evaluation of suppliers; fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). Seven green criteria and three alternative suppliers were considered in this study. The two methods have revealed that supplier 2 was the most favourable supplier with the highest weighted score. The sensitivity analysis has shown that both FAHP and FTOPSIS produce robust results. However, FTOPSIS method has proven lower variability with fewer computational steps.
Keywords: fuzzy analytic hierarchy process; FAHP; FTOPSIS; green supply chain; supplier selection; multi-criteria decision making; MCDM; supply chain management.
The COVID-19 pandemic impact on supply chains: A systematic literature review
by Ilias Vlachos
Abstract: This study conducts a comprehensive literature review of 259 studies investigating the pandemic impact on supply chain across the globe. This study provides a thematic analysis of the pandemic impact at: 1) countries; 2) sectors (manufacturing, services, maritime); 3) product supply chains (food, pharmaceutical); 4) sustainability (social, environmental). It further uncovers four areas of interest: 1) increased awareness of supply chain vulnerabilities; 2) lack of appropriate supply chain designs; 3) the potential benefits from the right usage of technology; 4) a supply chain paradigm shift on how consumers, companies, and governments perceive supply chains. The study discusses the managerial implications of the pandemic impact. Although there is literature reviews published in this topic to our knowledge, this is the first study that reviews comprehensively the relevant literature from different fields and disciplines.
Keywords: supply chains; COVID-19; pandemic; impact; literature review.
Industry 4.0 and its Enablers and Barriers: A Systematic and Bibliometric Review of Literature
by Kanagi Kanapathy, Azmin Azliza Aziz, Arsalan Najami
Abstract: Industry 4.0 is highly debated and discussed among academicians and practitioners with respect to its nature, scope, and practicality. With a high involvement of digitisation and technology, the transformation of an organisation from conventional to Industry 4.0 is highly complex especially during current organisational operations. By the help of in-depth systematic and bibliometric analysis, this study highlights the significant contributions made by the authors, institutions and countries across 1,554 studies which further lead to the identification of the important phenomena and areas that can further expand the literature. In addition to this, the review also identified essential components, key enablers and barriers, whereas key enablers identified will complement the adoption. Since Industry 4.0 is still at the introduction stage, the barriers that may hinder the industrial transformation are accentuated; practitioners need to work on reducing these barriers, for the success and sustainability of Industry 4.0.
Keywords: Industry 4.0; digitisation; components; enablers; barriers.
Managing supply chain risks in emerging economies
by Luca Urciuoli, Thi Thu Hien Phan, Juha Hintsa
Abstract: This paper performs an exploratory case study with Vietnamese timber firms, to discover what supply chain risks are perceived by companies. Emerging economies like Vietnam enjoy important advantages like low labour and production costs, access to internal resources, favourable geographic position and trading schemes issued by the European Union. Yet, diverse supply chain risks may hinder further growth, including risks related to access to supplies, compliance management, infrastructure, obsolete production machinery, and lack of skilled workforce. Compared to previous research, this paper contextualises existing knowledge in supply chain risks and mitigation strategies in an emerging economy like Vietnam. From a practitioner viewpoint, decision makers can boost the timber sector through targeted investments in modern infrastructure and adapting timber plantations to existing quality standards.
Keywords: supply chain risks; risk mitigation strategies; international trade; timber supply chain management; Vietnam supply chain risks; emerging economies supply chain; Vietnam.
A Clustering Search approach for the Train Timetabling Problem
by Eggo Pinheiro, Enrico Miranda, FRANCISCO CLIMACO, Alexandre C. M. De Oliveira
Abstract: Freight railways are the major means of transportation of bulk material. Since for the last few years there has been a fast-growing demand and railway infrastructure capacity increasing is very expensive, the improvement of the train scheduling process is needed to ensure the quality of services. This work deals with the train timetabling problem (TTP) composed of mixed traffic railways both cargo and passenger trains sharing the same resources with different priorities. We propose a new formulation for the TTP, which considers the parallel multi-track context and overtaking in a planning horizon for ongoing and just planned trains. Besides, a novel application of an evolutionary clustering search (ECS) is presented to solve large TTP instances. Finally, we have built a new set of instances derived from real-world scenarios. The findings encourage the future development of ECS-based expert systems that can provide information to decision-making teams of mining companies.
Keywords: genetic algorithm; evolutionary clustering search; ECS; metaheuristic; train timetabling problem; TTP.
Performance Measurement of Cold Chain Exporting: Fresh Longan Exporting
by Narathip Titlo, Apichat Sopadang, Nilubon Chonsawat
Abstract: Thai fresh longan is a significant product from Northern Thailand, of which the biggest export is to China. Poor performance of cold chain exporting will lose the potential and quality of a perishable product. In this sense, this research aimed to develop the cold chain performance measurement for Thai fresh longan exporting and identify the critical performance factors. To achieve this research objective, the researchers developed the hierarchy of cold chain performance factors. Then, five experts in the fresh longan export supply chain are interviewed to identify the weight factors prioritisation using the fuzzy AHP technique. After that, this performance measurement was applied with two case studies exporters in Thailand. The result indicated that the most critical cold chain performance efficiency factors were quality and safety, cost, traceability, and reliability. It was concluded that this performance measurement was practical and could support decision-makers on export cold chain logistics performance.
Keywords: cold chain; exporting; fuzzy analytic hierarchy process; logistics performance; north-south economic corridor; performance measurement; perishable products.
Deep learning based a genetic algorithm for the robust hub allocation problem with discrete scenarios.
by Achraf BERRAJAA
Abstract: Over the last decade, big data have changed the work and research strategies of several areas, in particular the hub location problems (HLP). The HLP have been extended to handle uncertain data, giving rise to robust HLPs. In a RHLP with discrete scenarios, the unique set of requests is replaced by a set of discrete scenarios. In a robust optimisation approach, making appropriate decisions for all scenarios must be intelligent and optimal. The purpose of this study is to show that such problems can be solved in a reasonable computing time and with an intelligent solution, using a RNN based on GA to approximately solve the problem. The proposed RNN has been trained on a big dataset of 20,000 instances. The performances of the proposed RNN are very interesting such that the success rate is 91% and able to resolve large instances while the traditional approaches are fail to resolve them.
Keywords: robust HLP; discrete scenarios; deep learning; recurrent neural network; RNN; genetic algorithm.
New Fuzzy Subtractive Clustering Approach: An Application of Order Allocation in E-Supply Chain System
by Nhu Nguyen Vu Quynh, Hop Nguyen
Abstract: This study proposes a so-called new fuzzy subtractive clustering (NFSC) algorithm to allocate orders to the appropriate hub with three criteria, namely, traveling distance, delivery time, order quantity. The main contribution of this paper is that the proposed clustering method improves the previous subtractive clustering algorithm by using mean squared error (MSE) instead of the ratio for accepting or rejecting cluster centres. Besides, the cluster radius is adapted automatically to get the minimum MSE with the fixed cluster centres in advance. A case study of a multinational company in Vietnam is investigated to compare the proposed algorithm with K-means clustering. The obtained results are very promising to give distinction clusters of delivery points.
Keywords: order allocation; K-means clustering; subtractive clustering.
Risk Factors Related to Vegetable Wholesalers Opportunistic Behaviours Influencing Relationship Termination amongst Business Partners in Vegetable Supply Chain
by Sirion Son-ong, Bhuk Kiranantawat, Santi Ditsathaporncharoen, Mohd Rizaimy Shaharudin, Anchalee Hiranphaet
Abstract: This study aims to analyse the risk factors related to vegetable wholesalers opportunistic behaviours influencing relationship termination amongst business partners in a leafy vegetable supply chain. Three key variables were explored, which were the opportunistic behaviours, impact of opportunistic behaviours, and relationship termination. The quantitative research method was employed. The sample was selected from vegetable farmers of the top five most cultivated leafy vegetables in the Nakhon Pathom and Ratchaburi provinces, Thailand which was 146 vegetable farmers. A questionnaire survey was conducted for data collection. The data analysis was performed using descriptive and inferential statistics. The results indicated that the opportunistic behaviours of vegetable wholesalers directly and indirectly influence the relationship termination of business partners. In addition, opportunistic behaviours of vegetable wholesalers directly influence the impact of opportunistic behaviours of vegetable wholesalers and the impact of the opportunistic behaviours of vegetable wholesalers directly affects the relationship termination of business partners.
Keywords: structural equation modelling; SEM; risk factor; leafy vegetable; buyer opportunistic behaviours; supply chain management; relationship termination; vegetable wholesaler.
IS LOGISTICS SERVICE QUALITY A PATHWAY TO CUSTOMER LOYALTY IN THE INTERNATIONAL FREIGHT FORWARDING INDUSTRY?
by G. YOGANANDAN, M. Vasan
Abstract: This study aims to examine the quality of services rendered by freight forwarders. The respondents of this study comprised 220 regular business to business (B2B) customers of freight forwarders in Chennai. The service quality measurement instrument developed by Parasuraman et al. (1988) was suitably modified and used in this study. The study proved that the dimensions such as tangibles and responsiveness highly influenced the perceived service quality (PeSQ). Also, an attempt was made to find out the inter-relation among the dimensions of PeSQ by using bivariate correlation. It was found that there existed a significant interlink between PeSQ, customer satisfaction (CSAT) and customer loyalty (CL). It indicated that the COVID-19 pandemic scenario and subsequent lockdowns did not affect the service rendered by the freight forwarders. Based on key study findings, we recommend the allocation of more funds for the improvement of logistics infrastructure to deliver enhanced quality services.
Keywords: Customer Satisfaction; Freight Forwarders; Logistics Services; Loyalty; Shipping Agent; Perceived Service Quality; PeSQ; Service Quality.
A review and classification of ambulance deployment and redeployment models in emergencies
by Youness FRICHI, Fouad Jawab
Abstract: This paper is a literature review of ambulance deployment and redeployment modelling approaches in emergency medical services (EMS): mathematical programming, queuing theory, and simulation. The three approaches are presented and compared, highlighting their applications, advantages, and limitations. Mathematical programming has undergone considerable evolution over the years in a continuous effort to propose models considering stochastic aspects of the environment. Therefore, this paper pays special attention to mathematical models and their solution methods. Queueing and simulation models are descriptive and allow the evaluation of the system performance. Recent trends in modelling tend to combine several approaches, sequentially or iteratively, to take advantage of the benefits of each approach.
Keywords: emergency medical service; ambulances; deployment; redeployment; modelling; location models; mathematical programming; queuing theory; simulation.
Exploring the Reverse Logistics Frameworks: a systematic literature review
by Himanshu Prajapati, Ravi Kant, Ravi Shanker
Abstract: Reverse Logistics deals with item flow in the opposite direction of conventional supply chain flow in order to recapture values or to ensure proper disposal. A framework is required for outlining reverse logistics to impart another vision of institution and addresses key issues of management. The study aims for critical examination of available reverse logistics framework in literature based on several distinct classifications. This is a novel approach making an effort to critically examine reverse logistics frameworks. This research focuses on the contribution of academicians/ specialists/ practitioners in developing frameworks, level of framework verification, mode of framework verification, novelty of frameworks and comparative analysis on reverse logistics literature. This research provides guidelines to get an idea about state-of-art development of reverse logistics frameworks and to build up a unified framework for reverse logistics using a systematic arrangement of reverse logistics constructs/ elements.
Keywords: reverse logistics; framework; review; systematic literature review; statistical analysis; reverse logistics framework.
Responsive Production Planning and Replenishment Consolidation Scheduling for a Two-Echelon Supply Chain
by Sepideh Alavi, Matthew Petering, Anthony Ross
Abstract: This paper introduces a new mathematical model for production planning and replenishment scheduling in a two-echelon supply chain. The problem addresses production and replenishment coordination, and shipment consolidation decisions in a supply chain that consists of a manufacturer who provides inventory replenishments to multiple distribution centres (DCs). The consolidation activities in this problem are not restricted to specific policies such as aggregation of shipments at regular times or consolidating when a predetermined quantity has accumulated. Rather, we consider the construction of a detailed shipment consolidation schedule over a planning horizon. The problem sheds light on the trade-off between transportation costs, manufacturer inventory holding costs, DC inventory holding costs, and DC backorder costs. We develop a mixed-integer quadratic optimisation model to identify the shipment consolidation schedule that minimises total cost. A genetic algorithm is developed to handle large problem instances. Experimental results show the effectiveness of the proposed solution methods.
Keywords: inventory; shipment consolidation; coordinated inventory replenishment; inventory control; supply chain management; consolidation schedule; production.
Assessment of Multidimensional Drivers of Blockchain Technology (BoT) in Sustainable Supply Chain Management (SSCM) of Indian Cement Industry: A Novel PLS-SEM Approach
by Gaurav Kumar Singh, Manish Dadhich
Abstract: This research investigates the multidimensional drivers of blockchain technology in sustainable supply chain management (SSCM). A sample of 185 industrial suppliers was taken. The information is gathered through a structured questionnaire based on a five-point Likert range and convenience sampling. Six constructs with 31 items are discovered, hypotheses are evaluated using factor analysis, and the model fit is achieved through structural equation modelling (SEM). It is evident that supply chain transparency, flexibility, SCM operation, sustainable haulage, competitiveness, and relative advantage are the positive and major constructs for blockchain technology utilisation (BTU). Thus, modern blockchain technology will positively impact the supply chain of the cement industry since it offers anonymity, security, scalability, and immutability. As a result, blockchain models should be implemented throughout the supply chain, which would benefit all stakeholders. The results also reveal that implementing blockchain in SCM netted novel insights that significantly benefited users, policymakers, and stakeholders.
Keywords: lockchain technology; BoT; PLS-SEM; supply chain flexibility; sustainable haulage; supply chain management; SCM.
CONCEPTUAL FRAMEWORK TO MODEL AND ANALYSE THE DISTRIBUTION STRUCTURE DECISIONS IN LOGISTICS
by Rajiv Kumar Sharma
Abstract: The purpose of this research paper is to present a conceptual framework to model and analyse the structural relationship among various dimensions which affect distribution structure decisions in logistics. Based upon the critical scrutiny of literature studies eight dimensions associated with the selection of distribution structure decisions in logistics are identified. These dimensions are validated through questionnaire survey followed by the hypothesis testing using non-parametric statistical tests. The dimensions are used to build the structural relationship model using interpretive structure modelling. From the ISM model it is observed that demand level, service level, logistics cost, and business strategy are placed at the topmost level in the ISM model followed by product characteristics and labour and land availability at middle level and location accessibility, and organisational factors at bottom level of the model. MICMAC analysis depicts the driving and dependence power among the dimensions. Further, based upon fuzzy logic approach the effect of dependent dimensions on the selection of distribution structure is analysed. It is evident from the simulation experiments that the proposed model successfully narrows down the intricacies involved in distribution structure selection.
Keywords: logistics; distribution networks selection; structural model; supply chain management.
Optimization of Logistics operations in Healthcare Systems using Predictive Data Analytics
by Divya Agarwal, Aditi Sharma
Abstract: Healthcare organisations from worldwide are under continuous pressure to provide the best treatment to the patients yet keeping in mind the cost of treatment. Predictive analysis is an approach towards the efficient management of logistics where algorithms are performed on the data collected from electronic health records, wearable medical devices or from any trusted sources. Later, optimisation can be done by analysing the result. This would result in positive patient outcomes and ensure the smooth functioning of healthcare systems worldwide without putting the extra pressure on them. Importance of predictive data analytics in healthcare and various ways to optimise patients outcomes are discussed in this paper.
Keywords: predictive data analytics; logistics; healthcare systems; supply chain; operations management; algorithms; optimisation; patient stay; hospital resources; analysis.
Modelling of Energy Conservation and Carbon Reduction Indicators for the Hotel Industry
by Manpreet Singh, Vinod Yadav, Milind Kumar Sharma
Abstract: Recently, environmental issues in the hospitality sector have gained more attention. This study identifies and selects the most relevant energy conservation and carbon reduction (ECCR) indicators for the hospitality industry. The ECCR indicators interrelationships and priorities assess using an integrated interpretive structural modelling
Keywords: hospitality sector; energy indicators; carbon reduction; environment management; ISM-ANP integrated approach; energy conservation and carbon reduction; ECCR.
CRITICAL ASSESSMENT OF SUPPLY CHAIN RISK, VULNERABILITY AND UNCERTAINTIES IN INDIAN AGRICULTURE DURING PANDEMIC
by SELVAKUMAR M
Abstract: The developing countries are highly dependent on agriculture and agriculture businesses whereas agricultural supply chain in all these countries is facing unpredicted risks due to COVID-19. The objective of this research is to identify the supply chain risk in agriculture business, problems in Agriculture supply chain business faced during COVID-19 and to explore the drivers of supply chain sustainability that tackles the supply chain disruptions in India. Based on the purposive sampling method, this paper describes the various factors and risks involved in agriculture supply chain business and the data obtained various districts of Tamil Nadu in India. The results have shown that supply chain risk is measured by six constructors: monetary risk, lack of infrastructure, demand and supply, quality control, climate and food safety risks. During the COVID-19 access to credit facilities is low and to build in sustainable procurement strategies for supply chain sustainability.
Keywords: agriculture business; sustainability; supply chain risks; factor analysis; COVID-19; sustainable procurement.
Identifying The Drivers And Barriers For The Implementation Of Sustainable Manufacturing
by Naveen Daniel, Rahul Sindhwani, Ravinder Kumar, K. Mathiyazhagan
Abstract: Manufacturing units have contributed for the economic growth and development of the country in a significant amount. The success of any organisation depends on its efficient manufacturing performance. As most of the manufacturing units use non-renewable resources of energy which generate large amount of wastes during the processes leading to various types of pollution, it has become essential that the sustainable manufacturing practices are adopted by these units. The present study aims to identify various drivers and barriers for implementation of sustainable manufacturing practices in the manufacturing units across the globe. For this a systematic literature review is carried out where the scholarly work done by the researchers on sustainable manufacturing was analysed, synthesised and critically evaluated. Based on the analysis, the authors have put forward the propositions for drivers and barriers of sustainable manufacturing.
Keywords: sustainable manufacturing; drivers; barriers; green manufacturing.
Analysis of Sustainable Performance Indicators in Dairy Supply Chain using Fuzzy -DEMATEL
by Mukesh Kumar, Vikas Kumar Choubey
Abstract: Sustainability has been always a major issue in businesses over the years, as it integrates the triple bottom line goals of the environment, social, and economic aspects. Dairy is an important sector in many nations since it generates a large number of jobs and economic activity. This article identifies key sustainable performance indicators (SPIs) that may be used as a decision-making variable in the assessment of dairy supply chain performance. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) approaches has been utilised to analyse the SPIs. The total supply chain cost is the most significant SPI, with a weightage of 6.32% which is influenced by all indicators. Profit sharing and stakeholder relationship management are regarded as the least significant SPIs, with a weight of 4.28%. The findings might be used to further understand the SPIs along with sustainability measurement.
Keywords: sustainable dairy supply chain; sustainable performance indicators; SPIs; decision-making trial; evaluation laboratory; DEMATEL.
The C-Suite of Supplier Collaboration: A Configurational Analysis of the Hows and Whys
by Hakim Lyngstadaas, Terje Berg
Abstract: This study empirically investigates how supplier collaboration (SC) can be configured for developing competitive capability. The configurational solutions are classified according to Lejeune and Yakovas (2005) typology of supply chain management and value creation as explanatory channel mechanism. This makes it possible to explain why competitive capabilities are effective. A survey with 159 respondents from the Norwegian manufacturing sector is analysed by using a fuzzy set qualitative comparative analysis. The survey was conducted in 2018. Three types in Lejeune and Yakovas (2005) typology are verified through competitive capability based on product quality, while all four types are verified in competitive capability based on low cost. However, there are several equally effective ways of configuring different types to achieve competitive capabilities. The results may be ascribed and theorised according to different value creation channels.
Keywords: supply chain management; supplier collaboration; performance; configurational analysis; fuzzy set qualitative comparative analysis; fsQCA; factorial analysis.
The Effects of COVID-19 Pandemic on the E-shopping Logistics in Jordan
by Mohammed Obeidat, Oraib Alshraiedeh, Dua' Al-Quran, Hala Alsliti
Abstract: Since its inception, e-shopping has grown rapidly around the world. Peoples attitudes about e-shopping have shifted with the COVID-19 pandemic and as a result of the quarantine imposed in countries. This paper explores the relationship between the COVID-19 and the resurgence of e-commerce in Jordan. The data were statistically examined and based on the analytical hierarchy process. According to the findings, the most important factors prior COVID-19 pandemic was age and bad e-shopping experience. During the pandemic, however, bad experiences in e-shopping remained significant, and peoples belief in virus transmission with orders and logistics variable was borderline significant. Furthermore, gender was the main significant factor contributing to the change in the consumers shopping behaviour during the pandemic. Precisely, females were significantly different than males regarding the change in consumers shopping behaviour due to the COVID-19 pandemic. Moreover, throughout the pandemic, consumers preferences were mainly food and grocery products, with a focus on fast delivery. This was not the situation before the pandemic when their primary focus was on high-end products.
Keywords: e-shopping; COVID-19; decision-making; category data analysis; Jordan.
Collaborative Purchasing Framework for Medical Product Procurement in Thai Hospitals
by Bundid Kungwannarongkun, Jirapan Liangrokapart
Abstract: An increase in business competition and the cutting price has occurred in every industry globally. Organisations have shifted their awareness to the efficiency of their procurement processes and the significance of collaboration with other organisations to save costs. Hospitals also require an efficient procurement process and cultivate partnerships with their stakeholders to secure and control hospital expenses. We conducted exploratory research investigating factors for developing a collaborative purchasing framework for medical product procurement in Thai hospitals. The key messages were extracted from stakeholders who had direct and indirect experience in medical product procurement through in-depth interviews. The triangulation method was applied in this study to assure the research validity. Eight factors including government intervention, ethical components, corporate governance, expertise, corporate strategy, information technology infrastructure, educational environment, and general agreement between suppliers and purchasers are identified as the essential factors for the collaborative purchasing framework in this study.
Keywords: collaborative purchasing; medical product procurement; hospital; exploratory research; triangulation.
The Reliability of Green Supply Chain Management Practices in the Printing Industry based on the PSI and IPA Approaches
by Mohammed Obeidat, Muna K. Beliah
Abstract: This paper aims to determine the most reliable green supply chain management (GSCM) practices, which could positively affect the environmental performance (EP), and the operational performance (OP) of organisations. The most reliable practice is that of higher level in both its importance and applicability. Seven GSCM practices are evaluated by integrating the preference selection index (PSI) multi criteria decision-making with the importance-performance analysis (IPA) approaches. These GSCM practices were the internal environmental management (IEM), cooperation with customers (CC), green procurement (GP), green manufacturing (GM), green warehousing (GW), green transportation (GT), and waste management (WM). A printing firm in Jordan was selected as a case study. The opinions of several experts were collected. Based on the results of both the PSI and the IPA approaches, the GW and GP GSCM practices were of high contribution to the improvement of the EP and OP in the printing industry.
Keywords: green supply chain; environmental performance; operational performance; printing industry; preference selection index; PSI; importance-performance analysis; IPA.
An Integrated Production & Distribution model for the supply of relief kits in Flood Relief Supply Chains
by ABYSON SCARIA, Brijesh Paul
Abstract: Relief supply chains should provide the relief supplies quickly and efficiently to maximise the survival rate, and hence, the integration of supply chain operations is extremely critical. In this work, we consider a single echelon relief supply chain for the supply of relief kits and model it as an integrated production and outbound distribution scheduling (IPODS) problem. The mixed integer programming model formulated is solved using a mathematical solver to obtain optimal solutions. For realistic sized problems, a heuristically initialised genetic algorithm (HIGA), using a nearest first greedy (NFG) heuristic is proposed. The data from the massive floods that occurred in 2018 in the State of Kerala, India is used to evaluate the model. The proposed new algorithm produces near optimal solutions for the test problems in relatively short computation times and is fast enough to be used interactively in a decision support system.
Keywords: relief supply chain; integrated production and outbound distribution scheduling; IPODS; nearest first greedy; NFG heuristic; heuristically initialised genetic algorithm; HIGA; decision support system.
Optimizing the process of storage and transport of grains and feeds
by Piotr Gorzelanczyk, Kinga Wawrzyniak
Abstract: The aim of the article is to propose solutions aimed at optimising the existing warehouse and transport processes in the production company. Therefore, it presents the problems faced by production companies in terms of the correct organisation of warehouse and transport processes. Theoretical aspects of warehouse management and transport were also described, the production company was characterised and the processes of storage and transport were analysed. Three optimisation solutions were proposed to be implemented in the analysed enterprise, which were the subject of the study. The main conclusion of the study is that the company needs changes to eliminate bottlenecks. Most of the respondents believe that the company needs additional loading and unloading stations.
Keywords: warehousing; warehouse process; handling; optimisation of the storage process.
Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context
by Hamza E.L. GARRAB, David Lemoine, Bruno Castanier, Adnane Lazrak, Robert Heidsieck
Abstract: A key goal of after-sale services is to achieve customer satisfaction by providing a high-quality of service post-sale. In this context, repairable spare parts play a considerable role in balancing between service level and inventory value considering their relative cost compared to new buy parts. This article deals with forecasting the load of a repair centre in a closed-loop service parts supply chain. Since this supply chain is subject to variabilities and experts are modifying replenishment decisions, it is difficult to forecast this load and especially its peaks, this lack of visibility is creating difficulties to organise the repair centre. Thus, a methodology based on a hybrid machine learning method is proposed and then tested on real data from General Electric Healthcare. These tests showed a real improvement of the accuracy compared to simple machine learning methods or traditional forecasting methods.
Keywords: forecast; hybrid machine learning; methodology; real data; spare parts; closed-loop supply chain.
An integrated closed loop returnable transport for perishable products in a green inventory routing system using heterogeneous vehicles and uncertainty in to and fro supply
by MANOJ Kumar, Dinesh Kumar
Abstract: The paper discusses an integrated returnable transport items (RTIs) for some perishable products in closed loop green inventory system having heterogeneous vehicles and uncertainty to and fro supply. It prolongs the standard inventory routing problem by considering the joint flow of integrated RTI with perishable products. The study emphasise how a distributor simultaneously plan to perform multi functions efficiently, i.e., delivery of perishable products, pick up of empty RTI and unused products from the retailers. A comprehensive objective function has been proposed and a model has been developed as a chance constrained problem and approximated as a mixed-integer problem. The model is tested with examples and results are analysed to benefits of heterogeneous fleet and comprehensive objective functions. Further, sensitivity analysis has been carried out to examine the impact of shelf life, time window, demand variability and service level.
Keywords: eturnable transport items; RTIs; closed loop inventory routing system; heterogeneous vehicles; perishable product; CO2 emissions; demand uncertainty; supply chain; SC.
Impact of Supply Chain Management Tools on Customer Satisfaction: A Study on Readymade Garments Industry of Bangladesh
by Sunny Saha
Abstract: Bangladesh ready-made garments (RMG) industry is the leading source of foreign currency and also the second leading contributor to GDP in Bangladesh. The paper scrutinises the impact of supply chain management (SCM) tools (flexibility, delivery, quality and cost) on customer satisfaction (CS) concentrating on Bangladesh readymade garments industry. This topic was the focused factor for various scholarly studies. However, no paper tested the influence of SCM tools on CS basing on Bangladesh RMG industry. This study will concentrate on the stated research gap. In this paper, 170 customers of garments sectors were surveyed to collect primary data. For data analysis, I used SPSS and AMOS. From the analysis, I find that flexibility, delivery and Cost have direct impact on CS. I expect that the paper facilitates the concerned business persons who are related to garments business in effective and efficient decision making for the betterment of SCM tools implementation.
Keywords: ready-made garments; RMG; supply chain management; SCM; Bangladesh; customer satisfaction; flexibility.
A Two-Echelon Logistic Network Considering Outsourcing and Demand Uncertainty: A Case Study
by Rahele Shahrouei, Sadoullah Ebrahimnejad
Abstract: In this paper, modelling and solving the two-stage production planning problem under demand uncertainty was studied. The proposed model consisted of two stages: 1) manufacturing the products requested by the customers; 2) packaging final products. In this paper, products in each stage were manufactured in regular time and overtime and if necessary, an outside contractor was employed to manufacture the products in each stage. Therefore, the aim of this study was to reduce production costs, the setup costs of production line, labour costs, maintenance costs and shortage costs. To evaluate the results of the model, a case study of Zarmacaron Company was implemented. After implementing the model and considering the demand parameter uncertainty, a fuzzy programming approach was applied to handle the uncertain parameters and the decisions including total cost, production rates in regular time and overtime and the products manufactured by an outside contractor were determined. Due to demand uncertainty, by increasing ?-cut, the degree of uncertainty related to the expected interval of optimistic demand decrease in compared with the amount of production which leads to a significant increase in the shortage costs.
Keywords: supply chain; production planning; demand uncertainty; triangular fuzzy numbers.
Improvement of freight consolidation through a data mining based methodology
by Zineb Aboutalib, Bruno Agard
Abstract: Freight consolidation is a complex logistics practice supported by a broad spectrum of strategies and methods to improve supply chain cost-effectiveness. It consists of grouping products in a single batch to reduce distribution costs. Literature review revealed that operational research (OR) is typically used for freight consolidation, and their inputs are often aggregated over time. While necessary to accommodate computationally expensive OR algorithms, such data simplifications are responsible for losing valuable data patterns. Our contribution is a novel data mining methodology that uses association rules to leverage data patterns in the context of intermittent demand. Our approach is compared to a typical operational research approach from a literature case study. Simple to implement, our methodology gives good results and can flexibly accommodate and exploit data patterns while being able to scale to a much larger amount of data, making it a more suitable approach for the big data world.
Keywords: transportation; association rules; cost reduction; data mining; freight consolidation; intermittent data; decision making; logistics; big data; pattern extraction.
INDUSTRY 4.0 TECHNOLOGIES APPLIED TO SUPPLY CHAIN: A SYSTEMATIC LITERATURE REVIEW
by Bruno Da Costa Ferreira Gameiro, Eduardo G. Satolo
Abstract: The transformations and changes in societys habits have resulted in advances that accelerate the speed of information, making the future unpredictable and hindering planning for companies. To support the flexibility and speed demanded by the market, technologies emerge in the context of industry 4.0 (I4) and consequently, in supply chain 4.0 (SC4). Considering the literature on SC4, gaps can be found as no current research exhibits the representativeness of each technology or that has listed the I4 technologies applied in the supply chain (SC). Therefore, the goal of this study is to map the state of the art of I4 technologies applied to SC, using as methodology a systematic literature review (SLR). As a result, this article elaborates on the state of the art of SC4, lists and discusses the technologies covered, shows which countries are studying this topic, and presents how these technologies are being applied to SC.
Keywords: big data; CPS; IOT; smart factory; supply chain management; SCM; systematic literature review; SLR; technologies.
Analysis of critical success factors in supply chain management based on different market scenarios: a systematic literature review
by César Perusso, Guilherme Bergmann Borges Vieira, Mateus Panizzon, Pietro Cunha Dolci, Gabriel Vidor
Abstract: This article presents a systematic literature review about critical success factors in supply chain management related to different market scenarios. For the selection of studies, the search terms were supply chain, scenarios, market scenarios, success factors, critical success factors and some combinations among these terms. We used Science Direct, Web of Science and Emerald databases. The selected articles were submitted to bibliometric and content analysis procedures. From the results of the review, we identified the success factors most mentioned in the supply chain management literature and defined the main market scenarios to which such supply chains may be related. The analysis of the relationship between critical success factors and market scenarios in supply chains proved to be an incipient theme, indicating a gap and a research opportunity to be explored.
Keywords: supply chain management; critical success factors; CSF; market scenarios; systematic literature review; SLR.
Innovation in ports - a systematic literature review
by Moema Pereira Nunes, Dusan Schreiber, Guilherme Bergmann B. Vieira, Alexandre Querino Da Rosa
Abstract: Over time, ports have ceased to be mere cargo handling agents to become key elements and transforming agents. The need for innovation has become fundamental. Given this relevance, port innovation was addressed in this study through a systematic literature review of articles indexed in Scopus database from 2000 to 2021. The application of the dined search terms resulted in 212 articles. We analysed the sample following the previously established inclusion and exclusion criteria. As result, we selected a sample of 86 articles. We conducted an in-depth analysis of the sample. The analysis indicated that most publications consider the port innovation in a broader way and the container port logistics chain as the main research subjects. However, other emerging port-innovation subjects were also found, such as environmental aspects, personnel development, and skills management.
Keywords: port; innovation; port innovation; systematic literature review; innovation management; logistics innovation; container; container logistics; technology.
PLANNING THE DISTRIBUTION OF EMPTY WAGON BATCHES FROM MARSHALLING YARDS TO MEET MINE LOADING DEMAND.
by Hendrigo Venes, Rodrigo Rosa, Leandro Resendo, Rodrigo Pestana Pirola
Abstract: The daily management of empty wagons is one of the key factors to improve the railway network performance and to manage the railway facilities. The aim of this paper is to propose a mathematical model of mixed integer linear programming to manage the distribution of empty wagons from marshalling yards to meet the demand in iron ore mines, reducing the breaking up of trains in the marshalling and origin yards and minimising the travel time. Using real data from EFVM, an important Brazilian railway, it was possible to obtain the optimum solution with CPLEX at very low execution times. The results showed that CPLEX was able to reduce 40.42% of the trains breaking ups when compared to the plan proposed by the EFVM planners.
Keywords: railway operations; railway transportation; empty wagon distribution.
AIR LOGISTICS IN THE DIGITAL ERA: A CONTENT ANALYSIS FOR CURRENT TRENDS AND FUTURE DIRECTIONS
by Volkan Yava?, Yesim Ozkan-Ozen
Abstract: Digitalisation through the new industrial revolution results in a great transformation in all stages of the supply chains, and air logistics industry under logistics need to embrace these changes to achieve smarter processes and higher efficiency. Current literature related to digitalisation in air logistics lacks in providing a holistic perspective in the field. From this perspective, this study reveals current approaches and future trends in digitalised air logistics by conducting a two-staged content analysis. First, using VOSViewer software, a visualisation is performed with co-occurrence network analysis through keywords in related studies in WOS and SCOPUS databases, respectively. Then, qualitative data analysis is carried out with MAXQDA and related studies were evaluated in detail. Because of the evaluation of all three analyses together, the keywords
Keywords: air logistics; digitalisation; Industry 4.0; content analysis.
Vendor Managed Inventory Model in a Supply Chain with Single Vendor and Multiple Retailers Considering Price and Shelf Space Aspects
by Mansureh Mohammadi, Mohammad Reza Gholamian
Abstract: Coordination decisions in the supply chain is challenging especially for manufacturers who are looking for a minimum cost and reaching to maximum profit. There are many policies for achieving coordination and integration in supply chain. Vendor managed inventory (VMI) is one of the most practical policies in this area. In VMI, retailers share their inventory data with a vendor and instead, vendor manages the retailers inventory level through the provided information. In this study, a new VMI model with price- and shelf space-dependent demand has been presented. Meanwhile, role of brand and promotional effects have been considered in this demand function. The general research method employed in the study, is based on mathematical modelling and numerical analysis. In this regard, a supply chain with one manufacturer and two retailers has been examined. Numerical results show the performance improvement of the supply chain, by means of revenue-sharing contract in VMI policy.
Keywords: vendor managed inventory; VMI; shelf-space; brand image; advertising; revenue-sharing contract; Stackelberg game.
International Journal of Logistics Systems and Management (2004-2020): An Analytical Retrospective
by Santosh Baheti
Abstract: International Journal of Logistics Systems and Management (IJLSM) is a journal of international repute that publishes original and peer-reviewed research in the business, management, accounting, and decision sciences domain. The journal reached its 18th year of publishing in 2021. This study provides a comprehensive overview of 962 publications using the bibliometric data analysis technique. The study focuses on the contribution of IJLSM to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Cooccurrence of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOS viewer software. The findings of the study emphasise the relationship of IJLSM to different fields. The analysis also provides key insights into the evolution of the domain over time.
Keywords: bibliometrics; scopus; logistic management; VOS viewer.
Current state of process automation in internal logistics - A Germany-wide expert survey
by Konstantin Mühlbauer, Sebastian Meissner, Stephanie Baeuml
Abstract: The ongoing digitalisation enables the use of new technologies for automation within material and information flow to make them more efficient and effective. For the future development and implementation of process automation technologies, it is important to evaluate the current state and identify obstacles as well as further potentials. The article presents the results of a Germany-wide survey of companies with regard to process automation in material flow and information processing within logistics systems. The results indicate that the material flow in the areas of storage and internal transport are already frequently automated. The generated data in these areas offers new potential for the implementation of further automation technologies in information processing for more efficient and higher-quality planning and control.
Keywords: automation technology; artificial intelligence; expert survey; information processing; internal logistics; logistics systems; materials handling; process automation.
Modelling of Truck Logistics Provider Based on Attitude of Truck Operators and Drivers: Mixed method approach
by Thanapong Champahom, Panuwat Wisutwattanasak, Rabil Ponphai, Sajjakaj Jomnonkwao, Amphol Karoonsoontawong, Vatanavongs Ratanavaraha
Abstract: Current transportation problems are challenging. Service qualities and policies of third-party logistics derive from the executives or the directors visions, from which all concepts originate without any drivers participation. This study aims to build the transport indicators generated from visions of the operators consisting of controllers and drivers. This research uses mixed methods research including qualitative and quantitative analysis. For the qualitative analysis, the interviews were conducted by transport controllers. The questionnaires were used with truck drivers for quantitative analysis. Regarding the results from the quantitative method, this study illustrated that the components of operation consist of four factors including safety, revenue, transport, and policy. The results indicated that these factors are statistically significant. This study can be used as a guideline to provide improved policies for organisations within the public and private sectors that are involved in truck transportation.
Keywords: mixed method; confirmatory factor analysis; CFA; exploratory factor analysis; EFA; truck agency.
Distribution in the Large-Scale Retail Trade industry: requirements for Vehicle Routing Problems
by Sebastiano Di Luozzo, Michela Vincenzi, Massimiliano Maria Schiraldi
Abstract: The purpose of this paper is to outline and establish the characteristics and requirements of vehicle routing problem (VRP) in the large-scale retail trade (LSRT) industry. Characteristics and operational constraints of the VRP for the LSRT industry are described, after analysing some variants of the state-of-the-art models in the present literature. Successively, a comprehensive definition for this specific class of problems is provided, along with taxonomy and a new VRP formulation. The research reveals that state-of-the-art VRP models often fail to thoroughly describe real-world LSRT instances, leading to seldomly applicable models. For this reason, the paper provides guidance to design and apply a model for solving real-world transportation problems in the LSRT industry. Hence, our paper establishes requirements and criteria for obtaining a VRP applicable to real-world instances of the LSRT industry.
Keywords: distribution; logistics; routing; nonlinear programming; retailing.
Measuring operational efficiency of remanufacturing supply chain: A data envelopment analysis approach
by Zulfiquar Ansari, Ravi Kant, Ravi Shanker
Abstract: The objective of this study is to evaluate the operational efficiency of remanufacturing supply chain (RSC). This study employs data envelopment analysis (DEA) to measure the relative efficiency of 17 RSC. Within the DEA analysis, the present research work focused on input-oriented model with constant returns to scale and variable returns to scale. The DEA analysis is based on five inputs and two outputs. This study computes the Charnes, Cooper and Rhodes (CCR) score (technical efficiency), Banker, Charnes and Cooper (BCC) score (pure technical efficiency) and scale efficiency (SE) using DEA technique. The findings of this study indicate that six decision-making units (DMUs) (1, 3, 7, 12, 13, and 16) are efficient, since their SE value is 1 while the remaining are inefficient. This research work also provides information about the inefficient organisations for required possible improvement to move towards the efficient frontier. The findings of the study would help decision-makers to develop appropriate strategies to effectively managing their resources.
Keywords: Remanufacturing supply chain; Performance measurement; Data envelopment analysis (DEA); Relative Efficiency; Benchmarking.
Supply Chain Resilience under Economic-Political Risk: A Case of Developing Economy
by Maryam Al Naimi, Mohd. Nishat Faisal, Rana Sobh
Abstract: The aim of this study was to identify enablers of supply chain resilience to economic-political risks and establish the relationships among them using interpretive structural modelling. A comprehensive review of the literature was followed by input from experts from industry and academia to develop a hierarchical model. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to classify enablers into four categories. The results identified key variables that would help develop resilient supply chains to successfully mitigate economic-political risks in a developing economy under a blockade. The study contributes to literature on supply chain resilience by studying it in a new context and under a previously unexplored influence.
Keywords: Supply Chain Resilience; Interpretive Structural Modeling; Qatar; Economic-Political Risk.
Agri-fresh Food Supply Chain Quality (AFSCQ) and Organizational Sustainability (OS): An empirical investigation
by M.A.N. MOHAN SIDDH, Gunjan Soni, R.K. Jain, Milind Kumar Sharma, Vinod Yadav, OmJi Shukla, Pravendra Tyagi
Abstract: The purpose of this paper is to cultivate a base for agri-fresh food supply chain quality (AFSCQ) and organisational sustainability (OS) and to present a paradigm that incorporates the effect of AFSCQ practices on AFSCQ and OS. AFSCQ practices were defined from literature survey. These practices were grouped as: upstream side management (USM), logistics management (LM), downstream side management (DSM) and supporting practices like top management leadership (TML) and supply chain coordination using IT (SCCIT). The study promotes an innovative framework for AFSCQ and OS regarding the learning phase. The conceptual model was empirically tested with the help of structural equation modelling (SEM) approach and results provide support to consider the AFSCQ practices as a trustworthy mode for AFSCQ and OS.
Keywords: sustainability; supply chain quality; food; review; framework; model; blockchain.
PLANNING THE FUEL DISTRIBUTION IN URBAN CENTERS USING MULTI-COMPARTMENT TRUCKS UNDER RESTRICTIONS ON THE DELIVERY PERIOD AND THE MODEL OF THE TRUCK
by João H. B. Barbosa, Jéssica S. Lourenção, Rodrigo Rosa
Abstract: Distribution companies need to improve their distribution strategies to meet the increasing fuel stations demand, respecting restrictions on the delivery period and on the trucks model, both defined by fuel stations and/or local authorities. Currently, these companies plan one trip per truck and divide the whole distribution region in several small regions, on the other hand, our paper proposes to plan several trips per truck and consider one global distribution region. We propose a mathematical model and an algorithm integrating in the fuel replenishment problem characteristics as: multi-compartment, multi-trip, site dependent, time windows and heterogeneous fleet. Tests were done using data from a Brazilian fuel distribution company. Results showed that planning considering a global distribution region brought financial gains for the company. The access constraint highly impacted the transport costs.
Keywords: fuel replenishment problem; FRP; city logistics; urban logistics; vehicle routing problem; fuel distribution company; truck transport; management.
A literature overview about warehouse management
by Cesar Ramirez, Alvaro Luiz Neuenfeldt Júnior, Julio Cezar Siluk, Lucas De Ataíde
Abstract: Warehouses are structures designed to store products, responsible for establishing a connection among providers and consumers. In terms of costs, the warehouse management represents approximately 20% of the total logistics costs. The objective of this article is to identify critical success factors and the state-of-art of scientific literature perspectives about the warehouse management context. The literature review was developed based on a pragmatic perspective, through a systematic study based on recent articles about warehouse management. The research methodology is based on literature review approach composed with 42 selected articles of well-known peer-review journals. A total of seven topics were collected and classified with a relevance level. Specifically, tracking was the most explored topic due to the importance of product identification, contributing positively to improve management efficiency and reduce operational costs.
Keywords: warehouse management; supply chain management; literature review; competitiveness.
Providing a two-objective mathematical model to design a green reverse logistics network with vehicle routing
by Marzieh Shayannejad, Mehdi Alinaghian, Hadi Shirouyehzad
Abstract: Today, assurance of sustainable development depends on the preservation and the efficient use of limited resources which cannot be replaced, due to environmental issues, legal requirements and economic benefits of restoration activities have led to more consideration of the reverse logistic activities. In recent years, reducing the environmental impacts of human activities has been paid more attention. Also, since the vehicle routing plays a significant role in reducing the logistic transportation costs, providing such a model for minimising these sorts of costs is crucial. This paper studies a two-objective mixed integer nonlinear programming model to design a multi-product and multi-level green reverse logistics network using vehicle routing in view of their capacity. The proposed model is able to minimise the environmental impact along with minimisation of traditional cost. For solving the model in large-scale, two meta-heuristic algorithms including non-dominated sorting genetic algorithm-II and multi-objective particle swarm optimisation algorithm have been used.
Keywords: green reverse logistic; mixed integer nonlinear programming; meta-heuristic algorithms.
Blockchain technology in supply chain management: systematic literature review analysis
by Gizem Erboz
Abstract: Blockchain technology (BT), also known as a disruptive technology, has been recognised publicly in financial applications especially after the introduction of Bitcoins. However, recent studies show that the inherited characteristics of this technology enhance the concepts of supply chain management (SCM), assisting in verifiable and reliable transactional records. Therefore, this study aims to investigate the current state of BT-SCM literature applying in systematic literature review approach. A total of 38 papers have been examined through the analysis, and the results reveal that the field of research is still in its initial stage. In addition, this paper provides the main research directions on the concept from previous studies selected from high impact management journals. Three research directions: BT adoption, BT impact and BT applicability and their key dimensions were identified through content analysis. Therefore, the main contribution of this study is to provide some insights and practical implications for future studies on this context.
Keywords: blockchain; blockchain technology; supply chain; supply chain management; SCM; systematic literature review; SLR; distributed ledger technology; DLT; blockchain adoption; blockchain impact; blockchain applicability; operations management; supply chain operations.
Blockchain technology for international arms trade
by Hokey Min, Seong-Jong Joo
Abstract: Blockchain is a peer-to-peer network of information technology that keeps records of digital asset transactions using the type of distributed ledgers that are free from the controls of intermediaries such as arms trade dealers and rogue governments. Thus, it can mitigate risks associated with international arms trade. These risks include transfers of weapons, munitions, and related supplies for the illegal purposes of committing genocide, crimes against humanity, organised crimes, terrorism, and gun violence. This study discusses ways to leverage blockchain technology to assure secure and safe arms transfers under fraud-free, arms trade contracts and facilitate the streamlined logistics and procurement operations of weapons, munitions, and military supplies. This study also classifies arms trade related risks into a number of different categories depending on the extent of such risks and develops specific risk measures useful for risk mapping across the global supply chain of international arms transfers.
Keywords: blockchain technology; arms trade; supply chain risk management; case study.
Optimal collection policies for returned products in the reverse supply chain
by Moulik Kapadia, Emanuel Melachrinoudis, Nizar Zaarour
Abstract: The emergence of e-commerce and increasing customer service expectations have pushed a growing number of firms to adopt liberal return policies, this results however in skyrocketing return delivery costs. To reduce this impact of product returns on a firm's baseline, we develop and compare different collection models by leveraging economies of scale and optimising the collection period across multiple initial collection points (ICPs) in a three-echelon network before transshipping the returned products to a centralised return centre (CRC). Collection policies are developed for the case of multiple ICPs and a single type of product: 1) individual shipment policy; 2) combined shipment policy; 3) hybrid shipment policy. Mathematical models are developed for calculating the combined inventory and transportation costs for these policies, and an optimisation approach is designed to minimise the number of computations required to reach the optimal collection period. The results are then presented with an experimental dataset.
Keywords: product returns; reverse logistics; optimisation; multiple collection points; reverse supply chain; closed-loop supply chain; operations research.
An efficiency-based approach to biofuel facility location-routing network design
by Jae-Dong Hong, Judith L. Mwakalonge
Abstract: In this study, an integrated procedure of applying data envelopment analysis (DEA) method through a goal programming (GP) formulation is proposed for a biofuel facility location-routing network (BFLRN) design problem under the risk of facility disruptions. The BFLRN consists of four echelons; harvest sites, storage facilities, biorefineries and blending facilities with four goals on the location-routing of these four echelons. The GP approach to accommodate these four goals is applied. Solving the GP model for various values of the weight assigned to each goal will generate various BFLRN schemes. Considering each scheme as a decision-making unit (DMU), DEA is applied to find the most efficient one among efficient schemes. A case study using the biomass feedstocks data for South Carolina is conducted to evaluate the integrated procedure, which results in identifying efficient and robust BFLRN schemes. It would attract potential investors who are interested in the biofuel/bioenergy industry.
Keywords: goal programming; data envelopment analysis; biofuel facility location-routing network; facility disruptions.