Template-Type: ReDIF-Article 1.0
Author-Name: Gizem Erboz
Author-X-Name-First: Gizem
Author-X-Name-Last: Erboz
Title: Blockchain technology in supply chain management: systematic literature review analysis
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 198-222
Issue: 2
Volume: 42
Year: 2022
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.
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:198-222

Template-Type: ReDIF-Article 1.0
Author-Name: Hokey Min
Author-X-Name-First: Hokey
Author-X-Name-Last: Min
Author-Name: Seong-Jong Joo
Author-X-Name-First: Seong-Jong
Author-X-Name-Last: Joo
Title: Blockchain technology for international arms trade
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 223-239
Issue: 2
Volume: 42
Year: 2022
Keywords: blockchain technology; arms trade; supply chain risk management; case study.
File-URL: http://www.inderscience.com/link.php?id=124183
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:223-239

Template-Type: ReDIF-Article 1.0
Author-Name: Cesar Ramirez
Author-X-Name-First: Cesar
Author-X-Name-Last: Ramirez
Author-Name: Alvaro Luiz Neuenfeldt Júnior
Author-X-Name-First: Alvaro Luiz Neuenfeldt
Author-X-Name-Last: Júnior
Author-Name: Julio Cezar Siluk
Author-X-Name-First: Julio Cezar
Author-X-Name-Last: Siluk
Author-Name: Lucas De Ataíde
Author-X-Name-First: Lucas De
Author-X-Name-Last: Ataíde
Title: A literature overview about warehouse management
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 153-175
Issue: 2
Volume: 42
Year: 2022
Keywords: warehouse management; supply chain management; literature review; competitiveness.
File-URL: http://www.inderscience.com/link.php?id=124184
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:153-175

Template-Type: ReDIF-Article 1.0
Author-Name: Atif Saleem Butt
Author-X-Name-First: Atif Saleem
Author-X-Name-Last: Butt
Title: Personal relationships and agency conflicts: case of buying and supplying firms in Australia
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. Furthermore, findings from this study suggest that firms should remain cautious when relying on the personal relationships of managers within inter-firm relationships, as such relationships have the potential to divert managers from their firm's interests. The paper concludes by articulating its contribution to theory and practice, alongside the limitations and future research directions.
Journal: Int. J. of Logistics Systems and Management
Pages: 382-406
Issue: 3
Volume: 42
Year: 2022
Keywords: behavioural supply chain management; supplier-buyer relationship; personal relationships; qualitative data analysis; Australia.
File-URL: http://www.inderscience.com/link.php?id=124191
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:382-406

Template-Type: ReDIF-Article 1.0
Author-Name: Ganda Boonsothonsatit
Author-X-Name-First: Ganda
Author-X-Name-Last: Boonsothonsatit
Author-Name: Poti Chaopaisarn
Author-X-Name-First: Poti
Author-X-Name-Last: Chaopaisarn
Title: Order penetration point-based supply chain performance optimisation for SMEs (OPPO)
Abstract:
This paper aims to develop order penetration point-based supply chain performance optimisation for SMEs (OPPO). OPPO supports identifying critical performance measures and their root-causes, figuring out their intricate interrelations, and optimising 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 optimised 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).
Journal: Int. J. of Logistics Systems and Management
Pages: 427-439
Issue: 3
Volume: 42
Year: 2022
Keywords: supply chain performance measurement; order penetration point; optimisation; small and medium-sized enterprises.
File-URL: http://www.inderscience.com/link.php?id=124192
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:427-439

Template-Type: ReDIF-Article 1.0
Author-Name: Rupesh Kumar
Author-X-Name-First: Rupesh
Author-X-Name-Last: Kumar
Author-Name: Surendra Kansara
Author-X-Name-First: Surendra
Author-X-Name-Last: Kansara
Author-Name: Deepak Bangwal
Author-X-Name-First: Deepak
Author-X-Name-Last: Bangwal
Author-Name: Akhil Damodaran
Author-X-Name-First: Akhil
Author-X-Name-Last: Damodaran
Author-Name: Ajay Jha
Author-X-Name-First: Ajay
Author-X-Name-Last: Jha
Title: Motivating factors to promote tourism in India: using AHP methods
Abstract:
This study seeks to investigate the various criteria along with different motivation factors with the motive to improve people's 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 407-426
Issue: 3
Volume: 42
Year: 2022
Keywords: analytic hierarchy process; AHP; tourism industry; multi-criteria decision methods; MCDM.
File-URL: http://www.inderscience.com/link.php?id=124193
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:407-426

Template-Type: ReDIF-Article 1.0
Author-Name: Himanshu Prajapati
Author-X-Name-First: Himanshu
Author-X-Name-Last: Prajapati
Author-Name: Ravi Kant
Author-X-Name-First: Ravi
Author-X-Name-Last: Kant
Author-Name: Ravi Shankar
Author-X-Name-First: Ravi
Author-X-Name-Last: Shankar
Title: Exploring the reverse logistics frameworks: a systematic literature review
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 297-327
Issue: 3
Volume: 42
Year: 2022
Keywords: reverse logistics; framework; review; systematic literature review; statistical analysis; reverse logistics framework.
File-URL: http://www.inderscience.com/link.php?id=124207
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:297-327

Template-Type: ReDIF-Article 1.0
Author-Name: Kritika Rana
Author-X-Name-First: Kritika
Author-X-Name-Last: Rana
Author-Name: Sanjeev K. Sharma
Author-X-Name-First: Sanjeev K.
Author-X-Name-Last: Sharma
Title: Supply chain performance in the era of digitisation: the role of electronic supply chain management
Abstract:
The advancements in information technology have enabled the supply chain members to share real-time information, which further facilitates the integration of supply chain members. Since supply chain integration is a prerequisite in achieving superior supply chain performance, the objective of the current study is to determine the relationship between IT-enabled supply chain management (e-supply chain management), supply chain integration, information sharing and the performance of supply chain as a whole. Also, many authors are of the view that e-SCM and information sharing can positively enhance the integration among supply chain members, thus, another objective is to determine whether supply chain integration mediates the relationship between e-SCM and supply chain performance or not. Similar relationship is tested with information sharing as a mediator. For this, samples of 293 respondents are taken from the pharmaceutical manufacturing units and pharmacies in India. Structural equation modelling is applied to test these relationships.
Journal: Int. J. of Logistics Systems and Management
Pages: 503-536
Issue: 4
Volume: 41
Year: 2022
Keywords: e-supply chain management; Indian pharmaceutical industry; information sharing; information technology; supply chain integration; SCI; supply chain performance; SCP; structural equation modelling; SEM; mediation.
File-URL: http://www.inderscience.com/link.php?id=123451
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:503-536

Template-Type: ReDIF-Article 1.0
Author-Name: Chong Chin Keen
Author-X-Name-First: Chong Chin
Author-X-Name-Last: Keen
Author-Name: Chong How Liang
Author-X-Name-First: Chong How
Author-X-Name-Last: Liang
Author-Name: Rohana Sham
Author-X-Name-First: Rohana
Author-X-Name-Last: Sham
Title: The effectiveness of parcel locker that affects the delivery options among online shoppers in Kuala Lumpur, Malaysia
Abstract:
Business services nowadays are being transformed, conceived and developed due to the innovative self-service technology. Parcel locker is being added as last mile delivery method since it provides consumers with various conveniences such as dictating time, pace, location and ultimately the result of the delivery service. However, there is room for raising the awareness of parcel locker service in Kuala Lumpur, Malaysia. Hence, this study will focus on the factors to determine the effectiveness of lockers for parcel delivery that affect the delivery options among online shoppers in Kuala Lumpur. The study provides insights into the adoption of parcel locker service in the online purchasing sector as well. Among the implication of the findings, researchers found out that functions such as returning and picking up parcels brought to online shoppers by parcel locker service are the main drivers for adopting the new arising last mile delivery method.
Journal: Int. J. of Logistics Systems and Management
Pages: 485-502
Issue: 4
Volume: 41
Year: 2022
Keywords: parcel locker; last mile delivery; convenience; reliability; functioning; cost; Malaysia.
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:485-502

Template-Type: ReDIF-Article 1.0
Author-Name: Majid Mohammad Shafiee
Author-X-Name-First: Majid Mohammad
Author-X-Name-Last: Shafiee
Author-Name: Sayyed Mohammad Javad Rejali
Author-X-Name-First: Sayyed Mohammad Javad
Author-X-Name-Last: Rejali
Title: E-procurement, supply chain performance and inter-organisational communication
Abstract:
This research aims to investigate the effect of e-procurement on supply chain performance (SCP) focusing on the role of inter-organisational communication (IOC) in the oil industry. E-design, e-evaluation, e-sourcing, and e-negotiation were identified as the most important dimensions of e-procurement. Likewise, inter-organisational information systems (IOS) and inter-organisational trust were considered the main dimensions of inter-organisation communication. The statistical population consisted of procurement and purchase managers, buyers, and experts in the oil industry. To test the hypotheses and determine the relationship among the model variables, the structural equation modelling approach was used. The results imply a positive effect of e-procurement on SCP. Moreover, a positive impact of IOS and trust on SCP was confirmed. According to the importance of IOC for industrial sellers, buyers, and also industrial marketers, this research provides practitioners with a strategic perspective when dealing with e-procurement systems to improve SCP.
Journal: Int. J. of Logistics Systems and Management
Pages: 437-455
Issue: 4
Volume: 41
Year: 2022
Keywords: e-procurement; supply chain performance; SCP; IOS; inter-organisational information system; inter-organisational trust.
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:437-455

Template-Type: ReDIF-Article 1.0
Author-Name: Vipulesh Shardeo
Author-X-Name-First: Vipulesh
Author-X-Name-Last: Shardeo
Author-Name: Anchal Patil
Author-X-Name-First: Anchal
Author-X-Name-Last: Patil
Author-Name: Ashish Dwivedi
Author-X-Name-First: Ashish
Author-X-Name-Last: Dwivedi
Author-Name: Jitender Madaan
Author-X-Name-First: Jitender
Author-X-Name-Last: Madaan
Title: Investigating the transport flexibility measures for freight transportation: a fuzzy best-worst method approach
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) has 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 268-295
Issue: 2
Volume: 43
Year: 2022
Keywords: freight transportation; flexibility; multi-criteria decision making; MCDM; fuzzy best worst-method; FBWM; sensitivity analysis.
File-URL: http://www.inderscience.com/link.php?id=126013
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:2:p:268-295

Template-Type: ReDIF-Article 1.0
Author-Name: Sanja Dalton
Author-X-Name-First: Sanja
Author-X-Name-Last: Dalton
Author-Name: Biljana Stosic
Author-X-Name-First: Biljana
Author-X-Name-Last: Stosic
Title: Can ICT-based process innovation improve logistics services? The case of a Serbian logistics provider
Abstract:
In this empirical study, the impact of advanced information communication technology (ICT) as a tool to enable process innovation is presented. The aim of the research is to measure the impact of ICT-based process innovation on improving goods transport services through enhancing process efficiency and effectiveness in the sales operations. The research was conducted by collecting primary and secondary data from a Serbian transport company. The results of the research show that the ICT-based innovation action in process improvement and change has a great impact on competitive advantage of the company, both on domestic and international market. However, there are also indications that there is a need for further continuous advancements.
Journal: Int. J. of Logistics Systems and Management
Pages: 421-436
Issue: 4
Volume: 41
Year: 2022
Keywords: process innovation; performance metrics; key performance indicators; KIPs; information communication technology; ICT; lean.
File-URL: http://www.inderscience.com/link.php?id=123454
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:421-436

Template-Type: ReDIF-Article 1.0
Author-Name: Ashkan Ayough
Author-X-Name-First: Ashkan
Author-X-Name-Last: Ayough
Author-Name: Behrooz Khorshidvand
Author-X-Name-First: Behrooz
Author-X-Name-Last: Khorshidvand
Author-Name: Fatemeh Adibrad
Author-X-Name-First: Fatemeh
Author-X-Name-Last: Adibrad
Title: A genetic algorithm for integrated hub covering-routing problem considering forbidden paths
Abstract:
In this study, a new mathematical model is provided for the hub covering-routing problem (HCRP) through an extension of the travelling salesman problem (TSP). The objective of HCRP is to minimise the total related costs. This model assumes that if existence nodes are at a certain distance from a given node, they will be covered. The problem is a complete graph, so the seller must enter and leave once on each node. The main decision variables are to determine the tours and how to use the hubs in the way that total cost can be minimised. Since the proposed model is NP-hard, 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 in large-scale instances, GA solves the problem in a reasonable CPU time where GAMS is unable to find even a feasible solution. The average running time of GA is 62.69 seconds for large scale instances.
Journal: Int. J. of Logistics Systems and Management
Pages: 177-192
Issue: 2
Volume: 43
Year: 2022
Keywords: hub covering problem; HCP; travelling salesman problem; forbidden paths; GA.
File-URL: http://www.inderscience.com/link.php?id=126014
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:2:p:177-192

Template-Type: ReDIF-Article 1.0
Author-Name: Bengie Omar Vazquez Reyes
Author-X-Name-First: Bengie Omar Vazquez
Author-X-Name-Last: Reyes
Author-Name: João Carlos Colmenero
Author-X-Name-First: João Carlos
Author-X-Name-Last: Colmenero
Title: A fuzzy decision-making methodology for third-party logistics selection in the existence of the company's policy priorities: case of household appliance manufacturer
Abstract:
Third-party logistics (3PL) provider selection is still an issue in supply chain management when company' policies priorities are set in uncertain and vague decision situations. This paper proposes a decision-making (MCDM) model to outsource logistics by prioritising the company's policies in an uncertain environment. Initially, fuzzy stepwise weight assessment ratio analysis (FSWARA) prioritises and weights selection criteria; then, fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) evaluates and ranks potential alternatives. Additionally, sensitivity analysis verifies the robustness of the proposed model, and a business dashboard validates the decision-making team opinion during the 3PL selection process. Its implementation in a Brazilian household appliance manufacturer indicates that the high priority for the company when outsourcing logistics activities is to focus on safety and environment while information technology comprises the last of its priorities. The proposed model can assist managers and researchers in teaching the selected provider about customer concerns.
Journal: Int. J. of Logistics Systems and Management
Pages: 193-237
Issue: 2
Volume: 43
Year: 2022
Keywords: logistics outsourcing; decision making; priorities setting; company policy; fuzzy logic; SWARA; stepwise weight assessment ratio analysis; TOPSIS.
File-URL: http://www.inderscience.com/link.php?id=126015
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:2:p:193-237

Template-Type: ReDIF-Article 1.0
Author-Name: Flora M. Hofmann
Author-X-Name-First: Flora M.
Author-X-Name-Last: Hofmann
Author-Name: Stephan E. Visagie
Author-X-Name-First: Stephan E.
Author-X-Name-Last: Visagie
Title: The effect of order batching on a unidirectional cyclical picking line's completion time
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 only objective when minimising the total picking effort. Batches are formed to minimise walking distance. The question thus arises, 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. It showed that 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 reduce the overall picking time by up to 21%.
Journal: Int. J. of Logistics Systems and Management
Pages: 153-176
Issue: 2
Volume: 43
Year: 2022
Keywords: discrete event simulation; DES; distribution centre; picker number; order batching; order picking system; pick density; picking location metrics; retail industry; route overlap metrics; unidirectional cyclical picking line.
File-URL: http://www.inderscience.com/link.php?id=126016
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:2:p:153-176

Template-Type: ReDIF-Article 1.0
Author-Name: Shailendra Kumar Singh
Author-X-Name-First: Shailendra Kumar
Author-X-Name-Last: Singh
Author-Name: Supriyo Roy
Author-X-Name-First: Supriyo
Author-X-Name-Last: Roy
Title: Greening the grey: measuring adoption of green logistics in the Indian logistics sector
Abstract:
Environmental concerns have drawn extensive attention around the globe. Consequently, logistics firms are looking for means and methods to green their business operations because of an inherent negative relationship between logistics operations (LO) and the natural environment. Considering the sustained economic growth and logistics challenges in India, the present study aims at developing and empirically validating a scale for green logistics practices (GLPs). Drawing on the relevant literature and previous studies, green logistics (GL) is conceptualised as a three a priori dimensions, i.e., strategic, tactical, and operational measures. With data collected from 312 Indian logistics service providers (ILSPs), two measurement models of GLPs were tested using confirmatory factor analysis (CFA). The empirical results indicate that both the first-order and the second-order models of GLPs are reliable and valid. The study provides a parsimonious scale for assessing GLPs. It is expected that the findings would help logistics firms to green their business processes.
Journal: Int. J. of Logistics Systems and Management
Pages: 395-420
Issue: 4
Volume: 41
Year: 2022
Keywords: green logistics; environmental sustainability; logistics service providers; CFA; India.
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:395-420

Template-Type: ReDIF-Article 1.0
Author-Name: Sara Belaqziz
Author-X-Name-First: Sara
Author-X-Name-Last: Belaqziz
Author-Name: Fatima Bouyahia
Author-X-Name-First: Fatima
Author-X-Name-Last: Bouyahia
Author-Name: Saâd Lissane Elhaq
Author-X-Name-First: Saâd Lissane
Author-X-Name-Last: Elhaq
Author-Name: Jaouad Boukachour
Author-X-Name-First: Jaouad
Author-X-Name-Last: Boukachour
Title: A non-stationary queuing approach and genetic algorithm for the optimisation of truck appointment system in a container terminal in Casablanca City
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 terminal's 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 238-267
Issue: 2
Volume: 43
Year: 2022
Keywords: container terminal; appointment system; queuing time; optimisation; genetic algorithm; mutation.
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:2:p:238-267

Template-Type: ReDIF-Article 1.0
Author-Name: Hui Nee Au Yong
Author-X-Name-First: Hui Nee Au
Author-X-Name-Last: Yong
Author-Name: Suhaiza Hanim Mohamad Zailani
Author-X-Name-First: Suhaiza Hanim Mohamad
Author-X-Name-Last: Zailani
Author-Name: Lilis Surienty
Author-X-Name-First: Lilis
Author-X-Name-Last: Surienty
Title: Logisticians' behaviour towards safety outcomes in logistics
Abstract:
This study was aimed to assess the relationship between safety-related outcomes and safety behaviour among a sample of 103 logisticians in Malaysia. After collection of data from the survey, the data was analysed with SmartPLS software. The effect of government support was found larger in safety internalisation than that of personal commitment to safety. Moral obligation was found to be the top significant independent variable in driving the safety behaviour. There was a relationship between attitude, subjective norm and perceived behavioural control, and safety behaviour; it provides insights on how logistics firms could improve upon their employees' safety behaviour. Results showed that a variable, number of logisticians, negatively moderated the relationship between safety behaviour and safety performance. These findings contribute to the leadership literature by linking the two bodies of knowledge, by testing the moderating role of enterprise characteristics in the behaviour-safety outcomes relationship. In this paper, a mainstream psychological theory was drawn to explain the systems underlying the links between safety behaviour and outcomes. Consequently, there should be partnership between enterprise and the authority in order to help reduce workplace injuries and contribute to a sustainable improvement in competitiveness.
Journal: Int. J. of Logistics Systems and Management
Pages: 456-484
Issue: 4
Volume: 41
Year: 2022
Keywords: occupational safety and health; OSH; safety management; safety performance; sustainability; third party logistics; 3PL.
File-URL: http://www.inderscience.com/link.php?id=123458
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:4:p:456-484

Template-Type: ReDIF-Article 1.0
Author-Name: Zulfiquar N. Ansari
Author-X-Name-First: Zulfiquar N.
Author-X-Name-Last: Ansari
Author-Name: Ravi Kant
Author-X-Name-First: Ravi
Author-X-Name-Last: Kant
Author-Name: Ravi Shankar
Author-X-Name-First: Ravi
Author-X-Name-Last: Shankar
Title: Measuring operational efficiency of remanufacturing supply chain: a data envelopment analysis approach
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 328-357
Issue: 3
Volume: 42
Year: 2022
Keywords: remanufacturing supply chain; RSC; performance measurement; data envelopment analysis; DEA; relative efficiency; benchmarking.
File-URL: http://www.inderscience.com/link.php?id=124232
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:328-357

Template-Type: ReDIF-Article 1.0
Author-Name: Maryam Al Naimi
Author-X-Name-First: Maryam Al
Author-X-Name-Last: Naimi
Author-Name: Mohd. Nishat Faisal
Author-X-Name-First: Mohd. Nishat
Author-X-Name-Last: Faisal
Author-Name: Rana Sobh
Author-X-Name-First: Rana
Author-X-Name-Last: Sobh
Title: Supply chain resilience under economic-political risk: a case of developing economy
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 358-381
Issue: 3
Volume: 42
Year: 2022
Keywords: supply chain resilience; interpretive structural modelling; ISM; Qatar; economic-political risk.
File-URL: http://www.inderscience.com/link.php?id=124233
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:3:p:358-381

Template-Type: ReDIF-Article 1.0
Author-Name: Latifa Fadile
Author-X-Name-First: Latifa
Author-X-Name-Last: Fadile
Author-Name: Mohamed El Oumami
Author-X-Name-First: Mohamed El
Author-X-Name-Last: Oumami
Author-Name: Zitouni Beidouri
Author-X-Name-First: Zitouni
Author-X-Name-Last: Beidouri
Title: Logistics outsourcing by Moroccan manufacturing firms: a qualitative study
Abstract:
The relevant literature on logistics is largely centred on advanced countries and research on logistics outsourcing (LO) in developing countries in general with African ones, sparse in particular. This paper addresses this gap by shedding light on the usage of LO by Moroccan manufacturing firms. Thus, a qualitative study is conducted to know the extent to which they outsource their logistics: factors influencing the LO decision, benefits and risks of LO, logistics activities outsourced, impact of LO on their performance, logistics services providers' (LSPs) types, determinants and sources used to select the appropriate LSPs, and finally their expectations regarding the supply of their LSPs. The results denote that the usage of LO reveals positive impact on firm's performance although it still at a nascent stage in Morocco. This study contributes to the growing body of knowledge of LO practices. Research limitations are highlighted and potential future research avenues are proposed.
Journal: Int. J. of Logistics Systems and Management
Pages: 265-294
Issue: 3
Volume: 41
Year: 2022
Keywords: logistics outsourcing; manufacturing firms; Morocco; qualitative study.
File-URL: http://www.inderscience.com/link.php?id=122960
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:265-294

Template-Type: ReDIF-Article 1.0
Author-Name: Adis Puška
Author-X-Name-First: Adis
Author-X-Name-Last: Puška
Author-Name: Željko Stević
Author-X-Name-First: Željko
Author-X-Name-Last: Stević
Author-Name: Aleksandar Maksimović
Author-X-Name-First: Aleksandar
Author-X-Name-Last: Maksimović
Author-Name: Nasiha Osmanović
Author-X-Name-First: Nasiha
Author-X-Name-Last: Osmanović
Title: Assessing the impact of supply chain practices and performance of food companies in Bosnia and Herzegovina
Abstract:
The conducted research represents empirical study of the multidimensional relationship between supply chain practice and performance. In the supply chain practice, the focus is on customer, customer relationship and information sharing. This research shows what type of impact has the practice on supply chain performance. Supply chain performance is measured by four constructors: flexibility, cost, quality and delivery. Data were collected from food companies of Bosnia and Herzegovina (BiH) and has been used for testing the hypothesis. There have been three tested hypotheses using multiple linear regression analysis. The results have shown that individual supply chain practices have an impact on supply chain performance. In addition, it has been shown that the relationship with the supplier and the buyer affects the quality of the supply chain, while the relationship with the supplier affects the delivery. The results have shown that information sharing has no impact on individual constructors of supply chain performance. The obtained results provide practical insights to the managers of food companies to understand the supply chain, its practices and performance as well as the limitations of different practices to improve supply chain performance.
Journal: Int. J. of Logistics Systems and Management
Pages: 243-264
Issue: 3
Volume: 41
Year: 2022
Keywords: supply chain practice; supply chain performance; factor analysis; multiple linear regression; Bosnia and Herzegovina.
File-URL: http://www.inderscience.com/link.php?id=122961
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:243-264

Template-Type: ReDIF-Article 1.0
Author-Name: Md Sadikur Rahman
Author-X-Name-First: Md Sadikur
Author-X-Name-Last: Rahman
Author-Name: Sk Nurul Hasan
Author-X-Name-First: Sk Nurul
Author-X-Name-Last: Hasan
Author-Name: Tanmoy Banerjee
Author-X-Name-First: Tanmoy
Author-X-Name-Last: Banerjee
Author-Name: Rajan Mondal
Author-X-Name-First: Rajan
Author-X-Name-Last: Mondal
Author-Name: Ali Akbar Shaikh
Author-X-Name-First: Ali Akbar
Author-X-Name-Last: Shaikh
Title: An EOQ model for deteriorating item with  time-dependent demand and partial backlogging: advance payment policy
Abstract:
The objective of this work is to formulate an inventory model for a deteriorating item under time dependent demand with partially backlogged shortages. Here, backlogging rate has been considered as the exponential function of the length of the waiting time of the customers. An important business policy, advance payment has also been introduced where a retailer makes an order of the product by paying a certain portion of the total purchase cost before receiving the product with some equal instalments and the rest amount has to be paid at the receiving time of the lot. Then corresponding cost minimisation problem has been formulated. Due to the high nonlinearity of the corresponding optimisation problem, to find the best-found solution of the objective function LINGO 18.0 software is used. To validate the proposed model, one numerical example has been solved. Finally, the effect of changes of different parameters of the proposed model have been analysed graphically and a fruitful conclusion has been made.
Journal: Int. J. of Logistics Systems and Management
Pages: 332-348
Issue: 3
Volume: 41
Year: 2022
Keywords: EOQ; deterioration; time dependent demand; advance payment; partial backlogged shortage.
File-URL: http://www.inderscience.com/link.php?id=122962
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:332-348

Template-Type: ReDIF-Article 1.0
Author-Name: Yolanda Obaze
Author-X-Name-First: Yolanda
Author-X-Name-Last: Obaze
Author-Name: Victor R. Prybutok
Author-X-Name-First: Victor R.
Author-X-Name-Last: Prybutok
Author-Name: Daniel A. Peak
Author-X-Name-First: Daniel A.
Author-X-Name-Last: Peak
Title: A system thinking conceptual model for oil and gas complex systems
Abstract:
This qualitative review develops a visual model to describe global logistics problems involved in the oil and gas (O%G) systems. The conceptual model provides a systems perspective on the complex logistical decisions within the petroleum industry, especially in situations where the gas producers face problems when meeting increasing demand. This research characterises the organisational learning method to understand the scenario that anticipates O%G demand. Using systems thinking, causal loop diagram (CLD), the qualitative study presents an innovative way of viewing the interrelationships between complex variables in the petroleum industry. The CLD models the strategic supply chain and logistics decisions as key factors in the business to business environments that enable companies to sustain a competitive advantage. Practitioners and researchers can anticipate and consistently gain new knowledge by using systems thinking to model the logistics processes and complexities in the petroleum industry.
Journal: Int. J. of Logistics Systems and Management
Pages: 311-331
Issue: 3
Volume: 41
Year: 2022
Keywords: systems thinking; system dynamics; logistics; strategic alliances; transportation; causal loop diagram; CLD.
File-URL: http://www.inderscience.com/link.php?id=122963
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:311-331

Template-Type: ReDIF-Article 1.0
Author-Name: Victória Karolina Macedo Pasquali
Author-X-Name-First: Victória Karolina Macedo
Author-X-Name-Last: Pasquali
Author-Name: Guilherme Bergmann Borges Vieira
Author-X-Name-First: Guilherme Bergmann Borges
Author-X-Name-Last: Vieira
Author-Name: Erica Caetano Roos
Author-X-Name-First: Erica Caetano
Author-X-Name-Last: Roos
Author-Name: Jonas Mendes Constante
Author-X-Name-First: Jonas Mendes
Author-X-Name-Last: Constante
Title: Analysis of container port selection criteria from the importers' perspective: a study in southern Brazil
Abstract:
Port selection is an important topic for scholars and practitioners, and importers have an important role in the port selection. The current study presents an analysis on port selection criteria from the point of view of importers in southern Brazil. First, a literature research was conducted to identify how port selection is structured and then the most cited criteria for port selection were identified. Using these criteria, a quantitative, descriptive and causal research was carried out through the application of a questionnaire to a sample of importers. Data were analysed by descriptive statistical analysis and multiple linear regression and it was possible to identify the most relevant port selection factors considered by the importers. Among these factors, inland transportation costs (from the port to import destination), port efficiency and infrastructure stood out. These factors accounted for 75% of the overall evaluation, according to the R2 found in the regression analysis.
Journal: Int. J. of Logistics Systems and Management
Pages: 295-310
Issue: 3
Volume: 41
Year: 2022
Keywords: port selection criteria; importers' perception; southern Brazil.
File-URL: http://www.inderscience.com/link.php?id=122964
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:295-310

Template-Type: ReDIF-Article 1.0
Author-Name: Glaubos Clímaco
Author-X-Name-First: Glaubos
Author-X-Name-Last: Clímaco
Author-Name: Isabel Rosseti
Author-X-Name-First: Isabel
Author-X-Name-Last: Rosseti
Author-Name: Rogério Da Silva
Author-X-Name-First: Rogério Da
Author-X-Name-Last: Silva
Author-Name: Marcos Guerine
Author-X-Name-First: Marcos
Author-X-Name-Last: Guerine
Title: A hybrid heuristic based on GRASP and RVND metaheuristics for the prise-collecting covering tour problem
Abstract:
The provision of social, medical, or legal assistance to communities geographically distant from large urban locations has been a concern of the various public, philanthropic or private entities. This concern led to the emergence of the prise-collecting covering tour problem (PCCTP), which seeks to find a tour for travelling teams that provide services to these communities. This work proposes a novel hybrid heuristic based on greedy randomised adaptive search procedure (GRASP) and random variable neighbourhood search (RVND) meta-heuristics for the purpose of solving the PCCTP. Computational experiments were conducted on a PCCTP benchmark from the literature, and the results demonstrate our approach provides a significant improvement in solving PCCTP and comparable with the state of the art, mainly regarding the computational processing time.
Journal: Int. J. of Logistics Systems and Management
Pages: 349-370
Issue: 3
Volume: 41
Year: 2022
Keywords: prise-collecting covering tour problem; PCCTP; greedy randomised adaptive search procedure; GRASP; random variable neighbourhood search; RVND; hybrid heuristic.
File-URL: http://www.inderscience.com/link.php?id=122977
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:349-370

Template-Type: ReDIF-Article 1.0
Author-Name: Abdel-Karim Khandaqji
Author-X-Name-First: Abdel-Karim
Author-X-Name-Last: Khandaqji
Author-Name: Rateb Sweis
Author-X-Name-First: Rateb
Author-X-Name-Last: Sweis
Author-Name: Lilana Sukkari
Author-X-Name-First: Lilana
Author-X-Name-Last: Sukkari
Author-Name: Ghaleb Sweis
Author-X-Name-First: Ghaleb
Author-X-Name-Last: Sweis
Author-Name: Ayman B. Abdallah
Author-X-Name-First: Ayman B.
Author-X-Name-Last: Abdallah
Title: The extent of enterprise resources planning systems' implementation and its impact on the performance of pharmaceutical manufacturing companies
Abstract:
This study aims to measure the extent of the implementation of the ERP system and its impact on the performance of pharmaceutical manufacturing companies in Jordan. The population consisted of all users of ERP systems in pharmaceutical manufacturing companies. A convenience sampling technique was conducted. A set of descriptive and inferential statistical techniques were used to analyse the data. There was a significant effect of the implementation of ERP systems on performance. Furthermore, the quality of information mean was high with no significant impact on the performance of companies. Moreover, there were differences in the level of implementing ERP systems due to the number of years that companies have implemented them, and the level of staff use of ERP systems due to the number of years of their practice on these systems. This implies the need to educate and train staff about a different aspect of these systems.
Journal: Int. J. of Logistics Systems and Management
Pages: 371-394
Issue: 3
Volume: 41
Year: 2022
Keywords: ERP system; performance; pharmaceutical manufacturing companies; Jordan.
File-URL: http://www.inderscience.com/link.php?id=122979
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:371-394

Template-Type: ReDIF-Article 1.0
Author-Name: C. Muralidaran
Author-X-Name-First: C.
Author-X-Name-Last: Muralidaran
Author-Name: B. Venkateswarlu
Author-X-Name-First: B.
Author-X-Name-Last: Venkateswarlu
Title: Efficient solutions of time versus cost transportation problems
Abstract:
In time versus cost transportation problem, the time duration for shipping units and the unit cost for transporting are considered and is known as 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 to minimised total transportation time, and the other is to minimised total transportation cost. It shall certainly provide great benefit and support to decision-makers.
Journal: Int. J. of Logistics Systems and Management
Pages: 336-353
Issue: 3
Volume: 43
Year: 2022
Keywords: multi-criteria optimisation; total transportation time; transportation problem.
File-URL: http://www.inderscience.com/link.php?id=127081
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:336-353

Template-Type: ReDIF-Article 1.0
Author-Name: Yevhen Kononets
Author-X-Name-First: Yevhen
Author-X-Name-Last: Kononets
Author-Name: Horst Treiblmaier
Author-X-Name-First: Horst
Author-X-Name-Last: Treiblmaier
Author-Name: Miroslava Rajčániová
Author-X-Name-First: Miroslava
Author-X-Name-Last: Rajčániová
Title: Applying blockchain-based smart contracts to eliminate unfair trading practices in the food supply chain
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 297-316
Issue: 3
Volume: 43
Year: 2022
Keywords: unfair trading practices; UTPs; food supply chain; blockchain technology; smart contract; contract efficiency; empirical research; expert interviews.
File-URL: http://www.inderscience.com/link.php?id=127082
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:297-316

Template-Type: ReDIF-Article 1.0
Author-Name: Salima Hammadi
Author-X-Name-First: Salima
Author-X-Name-Last: Hammadi
Author-Name: Brahim Herrou
Author-X-Name-First: Brahim
Author-X-Name-Last: Herrou
Title: Lean/experience feedback for sustainable logistics management within Industry 4.0 perspective: a new approach based on survey study evidence in Morocco
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 the 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 perspective.
Journal: Int. J. of Logistics Systems and Management
Pages: 354-365
Issue: 3
Volume: 43
Year: 2022
Keywords: sustainable maintenance logistics; SMLs; lean culture; experience feedback; maintenance logistics environment; human factor's culture; Industry 4.0; Morocco.
File-URL: http://www.inderscience.com/link.php?id=127083
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:354-365

Template-Type: ReDIF-Article 1.0
Author-Name: Sachin Sreekumar
Author-X-Name-First: Sachin
Author-X-Name-Last: Sreekumar
Author-Name: S. Ram Narayan
Author-X-Name-First: S. Ram
Author-X-Name-Last: Narayan
Author-Name: E.S. Devnath
Author-X-Name-First: E.S.
Author-X-Name-Last: Devnath
Author-Name: K. Ganesh
Author-X-Name-First: K.
Author-X-Name-Last: Ganesh
Author-Name: S.P. Anbuudayasankar
Author-X-Name-First: S.P.
Author-X-Name-Last: Anbuudayasankar
Author-Name: V.R. Sathishkumar
Author-X-Name-First: V.R.
Author-X-Name-Last: Sathishkumar
Author-Name: M.S. Narassima
Author-X-Name-First: M.S.
Author-X-Name-Last: Narassima
Title: Green GAS heuristics for the routing problem
Abstract:
Logistics and supply chain management can provide several 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 CO<SUB align="right"><SMALL>2</SMALL></SUB> 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 317-335
Issue: 3
Volume: 43
Year: 2022
Keywords: heuristics; logistics; routing problem; sustainability.
File-URL: http://www.inderscience.com/link.php?id=127084
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:317-335

Template-Type: ReDIF-Article 1.0
Author-Name: Jaime A. Arango-Marin
Author-X-Name-First: Jaime A.
Author-X-Name-Last: Arango-Marin
Title: Genetic algorithms applied to the efficiency of storage logistics
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 418-430
Issue: 3
Volume: 43
Year: 2022
Keywords: warehouse logistics; genetic algorithms; 2D packing.
File-URL: http://www.inderscience.com/link.php?id=127085
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:418-430

Template-Type: ReDIF-Article 1.0
Author-Name: Sheetal Soda
Author-X-Name-First: Sheetal
Author-X-Name-Last: Soda
Author-Name: Vivek Aggarwal
Author-X-Name-First: Vivek
Author-X-Name-Last: Aggarwal
Title: Green supply chain management: practices and performances in power industry
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 regulation is the only driver that yields affirmative results for all the three types of stated performances. In contrast, the factor green awareness is not strongly associated with any of the dimensions of performance aforesaid.
Journal: Int. J. of Logistics Systems and Management
Pages: 395-417
Issue: 3
Volume: 43
Year: 2022
Keywords: green practices; green supply chain management; GSCM; power industry and performance measures.
File-URL: http://www.inderscience.com/link.php?id=127086
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:395-417

Template-Type: ReDIF-Article 1.0
Author-Name: Kanokwan Singha
Author-X-Name-First: Kanokwan
Author-X-Name-Last: Singha
Author-Name: Jirachai Buddhakulsomsiri
Author-X-Name-First: Jirachai
Author-X-Name-Last: Buddhakulsomsiri
Author-Name: Parthana Parthanadee
Author-X-Name-First: Parthana
Author-X-Name-Last: Parthanadee
Title: A two-stage method to determine parameters of (<i>R</i>, <i>Q</i>) inventory policy with storage capacity for a single item and multiple items
Abstract:
This paper presents a method for determining parameters of (&lt;i&gt;R&lt;/i&gt;, &lt;i&gt;Q&lt;/i&gt;) 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 method's 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 366-394
Issue: 3
Volume: 43
Year: 2022
Keywords: reorder point; order quantity; storage capacity; bootstrap-iterative; cyclic coordinate; over-storage.
File-URL: http://www.inderscience.com/link.php?id=127087
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Template-Type: ReDIF-Article 1.0
Author-Name: Gultekin Altuntas
Author-X-Name-First: Gultekin
Author-X-Name-Last: Altuntas
Author-Name: Bahadir Fatih Yildirim
Author-X-Name-First: Bahadir Fatih
Author-X-Name-Last: Yildirim
Title: Logistics specialist selection with intuitionistic fuzzy TOPSIS method
Abstract:
In a globally competitive environment, businesses, regardless of size, scale and industry, have to develop a base on their human capital to ensure their survival, sustainable competitive advantage and superior performance. Therefore, this study aims to propose an approach to the personnel selection (PS) problem in a highly unstable industry of logistics in an emerging market, with a real case and in a group decision-making environment. Intuitionistic fuzzy (IF) TOPSIS method with a set of six criteria developed by a group of eight experts and evaluated by three managers in different levels of a logistics business, has been applied to six candidates to fulfil a vacant position of 'logistics specialist'. It concludes that 'communication/negotiation skills', 'analytical thinking', 'graduation', 'professional experience', 'teamwork', 'computer literacy', and 'fluency in foreign language(s)' are the criteria to be employed as a 'logistics specialist' with respect to their relative weights. Based on such criteria, the candidates are ranked respectively and the most appropriate one is recommended for employment.
Journal: Int. J. of Logistics Systems and Management
Pages: 1-34
Issue: 1
Volume: 42
Year: 2022
Keywords: personnel selection; logistics specialist; intuitionistic fuzzy; TOPSIS; MCDM.
File-URL: http://www.inderscience.com/link.php?id=123513
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:1-34

Template-Type: ReDIF-Article 1.0
Author-Name: Sundaravalli Narayanaswami
Author-X-Name-First: Sundaravalli
Author-X-Name-Last: Narayanaswami
Author-Name: Lakshya Singh Saini
Author-X-Name-First: Lakshya Singh
Author-X-Name-Last: Saini
Title: Operational policies based on fare-box revenue management of the Indian railways
Abstract:
Indian railways (IR) is one of the oldest and single largest public transportation organisations in the world. Many of the routes and services are not profitable, but IR, being a state operator is obliged to operate them for political and social obligations. We developed a framework to compute the operational cost per trip of an IR passenger service using actual data. The total operational cost was evaluated against generated revenue, and it was found that break even could not always be attained. The proposed framework mandates significant changes in IR thought process and operational policy decisions, but it is pragmatic, viable and does not compromise customer benefits, we believe. We present the framework; illustrate the same using real data from few premium services and our detailed analysis.
Journal: Int. J. of Logistics Systems and Management
Pages: 117-139
Issue: 1
Volume: 42
Year: 2022
Keywords: total cost of operations; profitability of trains; operating costs; fare-box revenues.
File-URL: http://www.inderscience.com/link.php?id=123516
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:117-139

Template-Type: ReDIF-Article 1.0
Author-Name: Aman Gupta
Author-X-Name-First: Aman
Author-X-Name-Last: Gupta
Author-Name: Robert O. Walton
Author-X-Name-First: Robert O.
Author-X-Name-Last: Walton
Title: Ranking US airlines &#8211; a multi-attribute decision making approach
Abstract:
Airline competition has typically been assessed typically using one performance measure, with some exceptions where a combination of a few performance measures has been used. This research presents a multi-attribute decision making approach to assess the competitiveness of airlines in the USA. The performance measures are considered under five competitiveness dimensions including, cost, price, service quality, management and productivity. Input from airline decision-makers was used to assign weights to the performance measures. The analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods were used to conduct a competitiveness analysis of ten US airlines for the year 2015. While the two methods produced slightly different results, the TOPSIS was found to be superior since it returned results in line with previous studies. These results can be used by airline management to benchmark against competitors.
Journal: Int. J. of Logistics Systems and Management
Pages: 75-88
Issue: 1
Volume: 42
Year: 2022
Keywords: airlines; competition; multi-attribute; decision analysis.
File-URL: http://www.inderscience.com/link.php?id=123519
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:75-88

Template-Type: ReDIF-Article 1.0
Author-Name: Andréa Raffaella Avelar Pimentel Vila Nova
Author-X-Name-First: Andréa Raffaella Avelar Pimentel Vila
Author-X-Name-Last: Nova
Author-Name: Marcele Elisa Fontana
Author-X-Name-First: Marcele Elisa
Author-X-Name-Last: Fontana
Title: Integrative conceptual framework to support decisions on warehousing operations in forward and reverse flow
Abstract:
Warehouse has assumed a prominent position in the supply chains (SCs), since the operations performed in these facilities directly influence all SC. In addition, organisations motivated by economic, environmental and legislative issues have begun to worry about the impact from their processes and products. This has encouraged organisations to use their storage facilities to store both forward and reverse flow materials. However, managing hybrid warehouse is complex due to the difficult in handling the material from both flows, and the need to reconfigure the warehouse system. Therefore, this paper proposed an integrative conceptual framework that assists in the strategic decision making regarding raw material warehouse design and operations in hybrid facility. The main contribution of this work is the systematisation and simplification of the strategic decision making process about warehouse design and operations in bidirectional flow environment, allowing optimising space, facilitating flow and minimising storage cost.
Journal: Int. J. of Logistics Systems and Management
Pages: 53-74
Issue: 1
Volume: 42
Year: 2022
Keywords: warehouse; hybrid facility; design; operation system.
File-URL: http://www.inderscience.com/link.php?id=123520
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:53-74

Template-Type: ReDIF-Article 1.0
Author-Name: Juan J. Rojas-Reyes
Author-X-Name-First: Juan J.
Author-X-Name-Last: Rojas-Reyes
Author-Name: Jairo R. Montoya-Torres
Author-X-Name-First: Jairo R.
Author-X-Name-Last: Montoya-Torres
Author-Name: Elyn L. Solano-Charris
Author-X-Name-First: Elyn L.
Author-X-Name-Last: Solano-Charris
Title: A decision support system for the multi-client storage location assignment problem
Abstract:
In logistics systems, improvement strategies are designed and implemented to maximise the operations' performance and to integrate the supply chain. This article proposes a decision support system (DSS) for solving the storage location assignment problem in a multi-client environment (SLAP-MC). The proposed DSS allows to improve the warehouse administration system and specifically the space allocation, for which a mathematical model and solution methods based on the iterated local search (ILS) and the greedy randomised adaptive search procedure (GRASP), are implemented and incorporated. The proposed DSS aims to minimise the order picking transport time, improve decision-making and automate storage operations system activities.
Journal: Int. J. of Logistics Systems and Management
Pages: 89-116
Issue: 1
Volume: 42
Year: 2022
Keywords: warehouse management; storage location assignment problem; SLAP; multiple clients; decision support system; DSS.
File-URL: http://www.inderscience.com/link.php?id=123528
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:89-116

Template-Type: ReDIF-Article 1.0
Author-Name: Tatiana Kabanova
Author-X-Name-First: Tatiana
Author-X-Name-Last: Kabanova
Author-Name: Tatiana Malakhova
Author-X-Name-First: Tatiana
Author-X-Name-Last: Malakhova
Author-Name: Zhanna Zenkova
Author-X-Name-First: Zhanna
Author-X-Name-Last: Zenkova
Title: ABC-XYZ inventory analysis accounting for change points
Abstract:
ABC-XYZ analysis algorithm classifies commodities and inventory depending on their significance for the company and demand stability. Based on the classification results, the optimal strategies for materials flow management are suggested. If there are commodities with a seasonal or rapidly changing demand in the inventory, then current classification is seriously influenced by the values observed before the change point emergence, which leads to increased significance for commodities already less significant, and the other way around, lower significance of the commodities with the recently increased profit or revenue. This work suggests a modification to ABC-XYZ analysis, which takes into account change point influences, allows finding better fitting groupings and decreases demand variability level by splitting sales series into sections with steady demand. Demand significance is recalculated once change point is detected as a product of a new average demand level for the period and a number of periods observed.
Journal: Int. J. of Logistics Systems and Management
Pages: 59-76
Issue: 1/2
Volume: 41
Year: 2022
Keywords: inventory management; ABC-XYZ analysis; change points; changing demand; change detection algorithm.
File-URL: http://www.inderscience.com/link.php?id=120981
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:59-76

Template-Type: ReDIF-Article 1.0
Author-Name: Khaoula Bouanane
Author-X-Name-First: Khaoula
Author-X-Name-Last: Bouanane
Author-Name: Mohammed El Amrani
Author-X-Name-First: Mohammed El
Author-X-Name-Last: Amrani
Author-Name: Youssef Benadada
Author-X-Name-First: Youssef
Author-X-Name-Last: Benadada
Title: The vehicle routing problem with simultaneous delivery and pickup: a taxonomic survey
Abstract:
In recent years, the vehicle routing problem with simultaneous delivery and pickup (VRPSDP) and its variants, which consist of a study field closely related to the reverse logistics, are becoming much more prevalent and more frequently studied. However, the problem features and assumptions diversify considerably and no literature review has classified the existing studies. The main contributions of this paper are: 1) to define the VRPSDP's field in its entirety; 2) to accomplish an all-encompassing taxonomic classification of the VRPSDP literature published since 1989; 3) to delimit all of VRPSDP's facets parsimoniously. Proposing an adapted taxonomy, we classify 191 papers and categorise the trends in the VRPSDP literature.
Journal: Int. J. of Logistics Systems and Management
Pages: 77-119
Issue: 1/2
Volume: 41
Year: 2022
Keywords: vehicle routing problem with simultaneous delivery and pickup; VRPSDP; taxonomy; literature survey; classification.
File-URL: http://www.inderscience.com/link.php?id=120982
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:77-119

Template-Type: ReDIF-Article 1.0
Author-Name: Hadi Rezaei Vandchali
Author-X-Name-First: Hadi Rezaei
Author-X-Name-Last: Vandchali
Author-Name: Stephen Cahoon
Author-X-Name-First: Stephen
Author-X-Name-Last: Cahoon
Author-Name: Shu-Ling Chen
Author-X-Name-First: Shu-Ling
Author-X-Name-Last: Chen
Title: Governance mechanisms in managing sustainability practices in retail supply networks
Abstract:
The purpose of this paper is to compare the application of sustainability practices in two Australian food supply networks to identify how suppliers and focal firms (retailers) interact in terms of sustainability practices. A web-based questionnaire is developed to investigate the sustainability practices in Australian suppliers. Data from 66 received questionnaires are analysed via parametric and non-parametric tests to explain the differences between mean scores of the various sustainability practices implemented by retailers. The results identify two distinct governance mechanisms, which retailers apply to manage their suppliers' sustainability practices. The hands-off governance mechanism generally uses the sustainability practices in which retailers do not need to be involved directly when managing sustainability practices, while in the hands-on governance mechanism they are interested in participating directly. This paper is one of the few studies that empirically investigate governance mechanisms in the context of sustainability practices across the SN.
Journal: Int. J. of Logistics Systems and Management
Pages: 3-28
Issue: 1/2
Volume: 41
Year: 2022
Keywords: sustainability practices; supply network; governance mechanism; focal firms; retail.
File-URL: http://www.inderscience.com/link.php?id=120983
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Template-Type: ReDIF-Article 1.0
Author-Name: Edmond Yeboah Nyamah
Author-X-Name-First: Edmond Yeboah
Author-X-Name-Last: Nyamah
Author-Name: Richard Kofi Opoku
Author-X-Name-First: Richard Kofi
Author-X-Name-Last: Opoku
Author-Name: Gregory Kaku
Author-X-Name-First: Gregory
Author-X-Name-Last: Kaku
Title: Inventory strategies and performance of food and beverage processing industries
Abstract:
The purpose of the paper is to examine how inventory strategies influence the operational performance of food and beverage processing industries in Ghana. The partial least square-structural equation modelling analysis was used to understand how key inventory strategies affect operational performance of the food and beverage industries. The study found inventory strategies including economic order quantity and strategic supplier partnership to significantly influence operational performance, whereas just-in-time strategy had no significant influence on operational performance. This paper is an area biased, however, some insightful managerial implications could be deduced to properly manage inventory among food and beverage firms in similarly unstable business environments. The authors identified key inventory strategies, therefore helping managers in developing such strategies to improve operational performance. The paper contributes to the existing literature on inventory strategies and provides empirical evidence of key strategies and their corresponding effect on operational performance in a developing country.
Journal: Int. J. of Logistics Systems and Management
Pages: 120-144
Issue: 1/2
Volume: 41
Year: 2022
Keywords: economic order quantity; EOQ; strategic supplier partnership; SSP; just-in-time; food; beverage; operational performance.
File-URL: http://www.inderscience.com/link.php?id=120985
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:120-144

Template-Type: ReDIF-Article 1.0
Author-Name: Rihab Mechmech
Author-X-Name-First: Rihab
Author-X-Name-Last: Mechmech
Author-Name: Slim Harbi
Author-X-Name-First: Slim
Author-X-Name-Last: Harbi
Author-Name: Atidel B. Hadj-Alouane
Author-X-Name-First: Atidel B.
Author-X-Name-Last: Hadj-Alouane
Author-Name: Sami Sboui
Author-X-Name-First: Sami
Author-X-Name-Last: Sboui
Title: Clearance chain design: strategies selection and unsold inventory allocation
Abstract:
The management of unsold inventory represents a significant issue for many retailers, wholesalers and manufacturers. Evaluating the various inventory clearance strategies, particularly in terms of business risk and performance represents a challenge that reaches well beyond the operational level. In this paper, a structured approach is developed to aid in the clearance chain decision-making process. The proposed approach uses the analytic hierarchy process (AHP) to select a clearance strategy with a focus on risk and performance indicators. AHP allows both quantitative and qualitative criteria to be considered. As for the unsold inventory allocation problem, a multi-objective optimisation method was adopted. The paper includes a discussion on managerial insights for clearance chain design where results give opportunities for future research.
Journal: Int. J. of Logistics Systems and Management
Pages: 145-170
Issue: 1/2
Volume: 41
Year: 2022
Keywords: clearance chain; unsold inventory; &#8712;-constraint method; risk-performance criteria.
File-URL: http://www.inderscience.com/link.php?id=120989
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:145-170

Template-Type: ReDIF-Article 1.0
Author-Name: Kamar Zekhnini
Author-X-Name-First: Kamar
Author-X-Name-Last: Zekhnini
Author-Name: Anass Cherrafi
Author-X-Name-First: Anass
Author-X-Name-Last: Cherrafi
Author-Name: Imane Bouhaddou
Author-X-Name-First: Imane
Author-X-Name-Last: Bouhaddou
Author-Name: Youssef Benghabrit
Author-X-Name-First: Youssef
Author-X-Name-Last: Benghabrit
Author-Name: Amine Belhadi
Author-X-Name-First: Amine
Author-X-Name-Last: Belhadi
Title: Supply Chain 4.0 risk management: an interpretive structural modelling approach
Abstract:
It is presumed that the supply digitisation and interconnection will bring new potential risks for organisations to face. Therefore, this paper aims to explore crucial Supply Chain 4.0 risks and to investigate the connection vulnerability between them. A total of 14 Supply Chain 4.0 risks have been identified through the existing literature and experts' opinions. The interpretive structural modelling (ISM) approach is used to analyse the interactions among Supply Chain 4.0 risks to develop a hierarchical structural model. The proposed model helps in understanding the dependence among the Supply Chain 4.0 risks. Besides, by using MICMAC analysis, the importance of Supply Chain 4.0 risks was determined on the basis of their driving and dependence power. This study gives managers a better understanding of Supply Chain 4.0 risks that have most influence on others. Moreover; this work may help practitioners to prioritise which risks need to be addressed.
Journal: Int. J. of Logistics Systems and Management
Pages: 171-204
Issue: 1/2
Volume: 41
Year: 2022
Keywords: supply chain management 4.0; supply chain risks; risk management; interpretive structural modelling; ISM; MICMAC analysis.
File-URL: http://www.inderscience.com/link.php?id=120993
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:171-204

Template-Type: ReDIF-Article 1.0
Author-Name: Justin Schwartz
Author-X-Name-First: Justin
Author-X-Name-Last: Schwartz
Author-Name: Michael A. Womack
Author-X-Name-First: Michael A.
Author-X-Name-Last: Womack
Author-Name: Ann Kranz
Author-X-Name-First: Ann
Author-X-Name-Last: Kranz
Author-Name: Burcu Adivar
Author-X-Name-First: Burcu
Author-X-Name-Last: Adivar
Title: Open source business analytics solution for capacitated vehicle routing problem
Abstract:
This study introduces a mathematical formulation and an open source solution to optimise the distribution routes of a multinational FMCG supply chain in an effort to improve delivery times, reduce overhead, streamline its fleets and balance the workload. Combinatorial optimisation is utilised to determine a set of routes that satisfies all customer demands while satisfying all operational constraints and minimising the cost. ODL Studio 1.4.1 was used to process and overlay data points onto a local map of real-world roadways. Solving the CVRP reduced the fleet size, decreased the overall route time by over four hours, eliminated 161 kilometres (25.6%) of daily travel distance and reduced gas consumption by over 3,000 gallons of fuel used each year. Application of this method to all routes will likely produce a synergistic effect as savings will be maximised across all routes and new savings may be acknowledged by the optimisation of interregional distribution.
Journal: Int. J. of Logistics Systems and Management
Pages: 35-52
Issue: 1
Volume: 42
Year: 2022
Keywords: vehicle routing problem; VRP; FMCG supply chain; ODL Studio; OpenStreetMap; open source VRP solver.
File-URL: http://www.inderscience.com/link.php?id=123558
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:35-52

Template-Type: ReDIF-Article 1.0
Author-Name: Khaoula Ouaddi
Author-X-Name-First: Khaoula
Author-X-Name-Last: Ouaddi
Author-Name: Youssef Benadada
Author-X-Name-First: Youssef
Author-X-Name-Last: Benadada
Author-Name: Fatima-Zahra Mhada
Author-X-Name-First: Fatima-Zahra
Author-X-Name-Last: Mhada
Title: Heuristic based on iterative exact method for multi-tour dynamic vehicle routing problem with overtime
Abstract:
In the last two decades, the DVRP has received a very particular interest from researchers. Because of its great utility in modern transport systems, the DVRP is now a very motivating and still attractive line of research for new studies. The complexity of this problem comes from the fact that it belongs to the VRP family in addition to the dynamism of its components. In this article, a very little studied variant of the DVRP is dealt with. This is the multi-tour DVRP with overtime (MTDVRPOT). We treat this problem from a multi-objective point of view, based on a bi-objective mathematical modelling. The first objective is to minimise the total travelled distance, while the second objective is to minimise to maximal performed overtime. A heuristic based on the iterative exact method was proposed to solve this problem. Its principle is to divide the working day into time periods and resolve iteratively the mathematical models. Each mathematical model corresponds to one subproblem of one time period.
Journal: Int. J. of Logistics Systems and Management
Pages: 205-224
Issue: 1/2
Volume: 41
Year: 2022
Keywords: mathematical model; multi-tour; dynamic vehicle routing problem; DVRP; overtime; multi-objective; exact method; CPLEX.
File-URL: http://www.inderscience.com/link.php?id=120999
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:205-224

Template-Type: ReDIF-Article 1.0
Author-Name: Achraf Berrajaa
Author-X-Name-First: Achraf
Author-X-Name-Last: Berrajaa
Author-Name: Abdelhamid Benaini
Author-X-Name-First: Abdelhamid
Author-X-Name-Last: Benaini
Title: GPU-based approach to large scale dynamic vehicle routing problem
Abstract:
Vehicle routing problems (VRPs) are fundamental optimisation problems of transportation systems. In the real-world, VRPs are dynamic in the sense that new customers' requests continuously arrive over time, after a number of vehicles have already started their tours. Dynamic VRPs (DVRPs) require making decisions as fast as possible. This needs resolution methods with high computational efficiency especially for problems with a large number of customers. The aim of this paper is to attempt to achieve this objective. For this, we design a genetic algorithm for the DVRP and we implement it on GPU. The proposed approach inserts new requests into already planned routes then it optimises the resulting solution via genetic operators. To our knowledge, this is the first attempt to solve large DVRP on the GPU using evolutionary algorithm and seems to be efficient according to the experimental results on some published benchmarks and on our large instances (up to 10,000 nodes).
Journal: Int. J. of Logistics Systems and Management
Pages: 225-242
Issue: 1/2
Volume: 41
Year: 2022
Keywords: dynamic VRP; insertion heuristic; genetic algorithm; CUDA; graphics processing unit; GPU.
File-URL: http://www.inderscience.com/link.php?id=121006
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Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:225-242

Template-Type: ReDIF-Article 1.0
Author-Name: Sina Shokoohyar
Author-X-Name-First: Sina
Author-X-Name-Last: Shokoohyar
Author-Name: Sajjad Shokouhyar
Author-X-Name-First: Sajjad
Author-X-Name-Last: Shokouhyar
Author-Name: Sahra Hakimioun
Author-X-Name-First: Sahra
Author-X-Name-Last: Hakimioun
Title: Explicating the effects of big data analytics capabilities on supply chain resilience dimensions: dynamic capabilities approach and complex adaptive system perspective
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 (BDA) 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 451-483
Issue: 4
Volume: 43
Year: 2022
Keywords: big data analytics; BDA; supply chain resilience; complex adaptive system; dynamic capability.
File-URL: http://www.inderscience.com/link.php?id=127919
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:451-483

Template-Type: ReDIF-Article 1.0
Author-Name: Nita H. Shah
Author-X-Name-First: Nita H.
Author-X-Name-Last: Shah
Author-Name: Milan Patel
Author-X-Name-First: Milan
Author-X-Name-Last: Patel
Title: An EOQ model for deteriorating items when demand is cloud fuzzy
Abstract:
In this study, an EOQ model with constant rate of deterioration is developed and solved in crisp, fuzzy and cloud fuzzy environment. Demand is considered as a normal triangular fuzzy number and cloud normal triangular fuzzy number in uncertain environments to get the total minimum inventory cost. Yager's ranking index is used for defuzzification. The objective is to minimise the total inventory cost and compare the results in crisp, fuzzy and cloud fuzzy environment. With the help of numerical example, it is observed that the cloud fuzzy environment produce better results. Sensitivity analysis has also been performed to understand the change in optimal solution as various parameters changes.
Journal: Int. J. of Logistics Systems and Management
Pages: 140-152
Issue: 1
Volume: 42
Year: 2022
Keywords: economic order quantity; EOQ; deterioration; fuzzy demand; cloud fuzzy demand.
File-URL: http://www.inderscience.com/link.php?id=123568
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:140-152

Template-Type: ReDIF-Article 1.0
Author-Name: Susheel Yadav
Author-X-Name-First: Susheel
Author-X-Name-Last: Yadav
Author-Name: Anil Kumar Agrawal
Author-X-Name-First: Anil Kumar
Author-X-Name-Last: Agrawal
Author-Name: Manu K. Vora
Author-X-Name-First: Manu K.
Author-X-Name-Last: Vora
Title: Research progress on joint economic lot sizing models: importance, classifications and bibliometric mapping
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 its 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 501-537
Issue: 4
Volume: 43
Year: 2022
Keywords: joint economic lot sizing; JELS; total relevant cost; lead time; profit sharing; VOSviewer&#174;.
File-URL: http://www.inderscience.com/link.php?id=127920
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:501-537

Template-Type: ReDIF-Article 1.0
Author-Name: Salma Makboul
Author-X-Name-First: Salma
Author-X-Name-Last: Makboul
Author-Name: Ahmed El Hilali Alaoui
Author-X-Name-First: Ahmed El Hilali
Author-X-Name-Last: Alaoui
Title: A metaheuristic method for solving an emergency problem
Abstract:
Disasters often generate a high degree of material and human damage. Generally, human and material resources are limited in hospitals and are ineffective in dealing with such a situation due to the number of important patients. During disasters, the hospital must ensure normal service and in addition receive several victims. Therefore, the medical infrastructure should optimally use its emergency resources. The main objective of this paper is to propose a white plan. To do this, we propose a multi-objective model to optimise the human and material resources in an emergency situation and to operate on patients as soon as possible. Since our problem is multi-objective, the non-dominated genetic algorithm NSGA-II is adapted to solve the large instances. A statistical analysis is performed using some measurements metrics to evaluate and validate the obtained Pareto solutions. The results are analysed and commented on to point out the efficiency of the resolution method.
Journal: Int. J. of Logistics Systems and Management
Pages: 29-58
Issue: 1/2
Volume: 41
Year: 2022
Keywords: disasters management; NSGA-II; scheduling; multi-objective optimisation; mixed integer programming.
File-URL: http://www.inderscience.com/link.php?id=121009
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Template-Type: ReDIF-Article 1.0
Author-Name: Patricia Cano-Olivos
Author-X-Name-First: Patricia
Author-X-Name-Last: Cano-Olivos
Author-Name: Diana Sánchez-Partida
Author-X-Name-First: Diana
Author-X-Name-Last: Sánchez-Partida
Author-Name: José-Luis Martínez-Flores
Author-X-Name-First: José-Luis
Author-X-Name-Last: Martínez-Flores
Title: Reduction of transport costs in the automotive trade in Mexico
Abstract:
This case study was developed in a Mexican automotive industry. This 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 &#36;75,652,464 MXP. So, it is necessary to design an optimal plan vehicles distribution minimise costs.
Journal: Int. J. of Logistics Systems and Management
Pages: 553-574
Issue: 4
Volume: 43
Year: 2022
Keywords: logistics cost; logistics services providers; LSP; linear programming; Mexico.
File-URL: http://www.inderscience.com/link.php?id=127921
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:553-574

Template-Type: ReDIF-Article 1.0
Author-Name: Dário Ribeiros
Author-X-Name-First: Dário
Author-X-Name-Last: Ribeiros
Author-Name: Paula V. Martins
Author-X-Name-First: Paula V.
Author-X-Name-Last: Martins
Author-Name: Sílvia Fernandes
Author-X-Name-First: Sílvia
Author-X-Name-Last: Fernandes
Title: Challenges in process design and innovation: study of a case in Portugal
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 firm's 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 538-552
Issue: 4
Volume: 43
Year: 2022
Keywords: process; stocks; supply; enterprise resource planning; ERP; business process maturity model; BPMM; define-measure-analyse-improve-control; DMAIC; Portugal.
File-URL: http://www.inderscience.com/link.php?id=127922
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Template-Type: ReDIF-Article 1.0
Author-Name: Fatima Ezzahra Cherqaoui
Author-X-Name-First: Fatima Ezzahra
Author-X-Name-Last: Cherqaoui
Author-Name: Saâd Lissane Elhaq
Author-X-Name-First: Saâd Lissane
Author-X-Name-Last: Elhaq
Title: The impact of lean practices on workspace improvement: case study of a quality control laboratory in a pharmaceutical company
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 484-500
Issue: 4
Volume: 43
Year: 2022
Keywords: pharmaceutical industry; lean tools; 5S; cellular layout; process reengineering; Moroccan firm.
File-URL: http://www.inderscience.com/link.php?id=127923
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:484-500

Template-Type: ReDIF-Article 1.0
Author-Name: Adnane Cabani
Author-X-Name-First: Adnane
Author-X-Name-Last: Cabani
Author-Name: Joseph Mouzna
Author-X-Name-First: Joseph
Author-X-Name-Last: Mouzna
Author-Name: Ghaleb Hoblos
Author-X-Name-First: Ghaleb
Author-X-Name-Last: Hoblos
Title: Multiagent-based simulation of rail logistics services in Le Havre Port: multimodal platform vs. innovative modular rail service
Abstract:
In this paper, an innovative modular rail service based on teleoperated rail is presented and 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 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 the 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 431-450
Issue: 4
Volume: 43
Year: 2022
Keywords: multiagent simulation; modular rail; freight transport policy; multimodal transport; container terminal; tele operated coupons.
File-URL: http://www.inderscience.com/link.php?id=127925
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:4:p:431-450

Template-Type: ReDIF-Article 1.0
Author-Name: Atif Saleem Butt
Author-X-Name-First: Atif Saleem
Author-X-Name-Last: Butt
Title: Personal relationships and supply chain communication: an exploratory case study of buyers and suppliers of logistics service provider
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 realise 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 ten 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 501-514
Issue: 4
Volume: 42
Year: 2022
Keywords: behavioural supply-chain management; buyer-supplier relationships; personal relationships.
File-URL: http://www.inderscience.com/link.php?id=125385
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:4:p:501-514

Template-Type: ReDIF-Article 1.0
Author-Name: Sandip Pradhan
Author-X-Name-First: Sandip
Author-X-Name-Last: Pradhan
Author-Name: Siddhartha Bhattacharya
Author-X-Name-First: Siddhartha
Author-X-Name-Last: Bhattacharya
Author-Name: Radha Tamal Goswami
Author-X-Name-First: Radha Tamal
Author-X-Name-Last: Goswami
Title: Study and analysis of supply chain strategic drivers for business value creation in battery industry
Abstract:
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 &#45; 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 515-534
Issue: 4
Volume: 42
Year: 2022
Keywords: battery industry; business value; rank analysis; supply chain management; SCM; strategic drivers.
File-URL: http://www.inderscience.com/link.php?id=125386
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:4:p:515-534

Template-Type: ReDIF-Article 1.0
Author-Name: Luong Thu Trang
Author-X-Name-First: Luong Thu
Author-X-Name-Last: Trang
Author-Name: Nguyen Van Hop
Author-X-Name-First: Nguyen Van
Author-X-Name-Last: Hop
Title: Modelling of empty containers repositioning problem
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, port-depots, and depots-customers, 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 441-468
Issue: 4
Volume: 42
Year: 2022
Keywords: empty containers; ports; depots; repositioning.
File-URL: http://www.inderscience.com/link.php?id=125387
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:4:p:441-468

Template-Type: ReDIF-Article 1.0
Author-Name: Yassine Benrqya
Author-X-Name-First: Yassine
Author-X-Name-Last: Benrqya
Title: Impact of combining cross-docking and vendor managed inventory in a retail supply chain
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; 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 469-483
Issue: 4
Volume: 42
Year: 2022
Keywords: retail supply chain; cross-docking; vendor managed inventory; VMI; cost analysis.
File-URL: http://www.inderscience.com/link.php?id=125388
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:4:p:469-483

Template-Type: ReDIF-Article 1.0
Author-Name: Zahra Amin Afshar
Author-X-Name-First: Zahra Amin
Author-X-Name-Last: Afshar
Author-Name: Safar Fazli
Author-X-Name-First: Safar
Author-X-Name-Last: Fazli
Title: The impact of organisational culture on supply chain integration (case study: industrial parks of Qazvin province)
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 is 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 484-500
Issue: 4
Volume: 42
Year: 2022
Keywords: supply chain integration; SCI; organisational culture; internal-external orientation; flexibility-stability orientation; organisational performance.
File-URL: http://www.inderscience.com/link.php?id=125389
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Template-Type: ReDIF-Article 1.0
Author-Name: Varthini Rajagopal
Author-X-Name-First: Varthini
Author-X-Name-Last: Rajagopal
Author-Name: Shanmugam Prasanna Venkatesan
Author-X-Name-First: Shanmugam Prasanna
Author-X-Name-Last: Venkatesan
Author-Name: Sushant Varghese
Author-X-Name-First: Sushant
Author-X-Name-Last: Varghese
Author-Name: Tanumoy Kolay
Author-X-Name-First: Tanumoy
Author-X-Name-Last: Kolay
Title: A supply chain network reconfiguration under partial disruptions with capacity recovery
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 maker's (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 &lt;i&gt;&#949;&lt;/i&gt;-constraint (AUGMECON) method. The major inferences include: 1) the structural decisions are highly influenced by the SCN facility's failure probability and the DM's 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 535-575
Issue: 4
Volume: 42
Year: 2022
Keywords: supply chain network reconfiguration; SCNR; disruption risk; risk-attitude; multi-objective; resilience; recovery.
File-URL: http://www.inderscience.com/link.php?id=125391
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:4:p:535-575

Template-Type: ReDIF-Article 1.0
Author-Name: Huynh Trung Luong
Author-X-Name-First: Huynh Trung
Author-X-Name-Last: Luong
Author-Name: Anuradha Colombathanthri
Author-X-Name-First: Anuradha
Author-X-Name-Last: Colombathanthri
Title: Coordinating a three-stage supply chain using buy-back and revenue sharing contracts
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 analysed 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 1-19
Issue: 1
Volume: 43
Year: 2022
Keywords: supply chain; buy-back contract; three-stage coordination; revenue sharing contract.
File-URL: http://www.inderscience.com/link.php?id=125658
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:1-19

Template-Type: ReDIF-Article 1.0
Author-Name: Ndivhuwo Nemtajela
Author-X-Name-First: Ndivhuwo
Author-X-Name-Last: Nemtajela
Author-Name: A.S. Tolmay
Author-X-Name-First: A.S.
Author-X-Name-Last: Tolmay
Title: Identifying a catalyst for demand uncertainty within inventory management forecasting
Abstract:
The problem addressed by the research reported in this paper is that the fast moving consumer goods (FMCG) sector is faced by high levels of demand uncertainty that, in turn, leads to high levels of out-of-stock (OOS) events. A lack of research on this topic still prevails, especially in developing countries. This study investigated which qualitative and quantitative techniques acts as a possible catalyst towards demand uncertainty. This research was conducted through a survey within the South African FMCG sector. The unit of analysis was the perceptions of employees regarding their understanding of the following 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. This paper contributes towards conceptualising the management of demand through qualitative versus quantitative forecasting as a possible catalyst for demand uncertainty to prevent OOS.
Journal: Int. J. of Logistics Systems and Management
Pages: 66-85
Issue: 1
Volume: 43
Year: 2022
Keywords: inventory management; demand uncertainty; qualitative forecasting; quantitative forecasting; forecasting catalysts.
File-URL: http://www.inderscience.com/link.php?id=125659
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:66-85

Template-Type: ReDIF-Article 1.0
Author-Name: Sharfuddin Ahmed Khan
Author-X-Name-First: Sharfuddin Ahmed
Author-X-Name-Last: Khan
Author-Name: Radi Mohd. Radi
Author-X-Name-First: Radi Mohd.
Author-X-Name-Last: Radi
Author-Name: Syed Mubashir Ali
Author-X-Name-First: Syed Mubashir
Author-X-Name-Last: Ali
Author-Name: Esam H. Zahran
Author-X-Name-First: Esam H.
Author-X-Name-Last: Zahran
Author-Name: Amro Hayder Al Sahtout
Author-X-Name-First: Amro Hayder Al
Author-X-Name-Last: Sahtout
Author-Name: Saad Aldin Esam
Author-X-Name-First: Saad Aldin
Author-X-Name-Last: Esam
Title: An analysis of third party logistic selection criteria in oil and gas sector: an integrated SWOT-AHP approach
Abstract:
Outsourcing logistics activities has become an essential topic and is considered by several academicians and practitioners in literature. In this paper, we have considered a problem that an oil and gas company in the 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 show that the 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 20-47
Issue: 1
Volume: 43
Year: 2022
Keywords: outsourcing; third party logistics selection criteria; SWOT analysis; AHP; oil and gas sector.
File-URL: http://www.inderscience.com/link.php?id=125660
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Template-Type: ReDIF-Article 1.0
Author-Name: Alexander Vladimirovich Mishchenko
Author-X-Name-First: Alexander Vladimirovich
Author-X-Name-Last: Mishchenko
Author-Name: Vitaly Vitalievich Solodovnikov
Author-X-Name-First: Vitaly Vitalievich
Author-X-Name-Last: Solodovnikov
Author-Name: Tamara Gennadjevna Apal'kova
Author-X-Name-First: Tamara Gennadjevna
Author-X-Name-Last: Apal'kova
Title: Dynamic models of production-finance activity of enterprises in conditions of uncertainties and risk
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 86-111
Issue: 1
Volume: 43
Year: 2022
Keywords: optimisation models; production activity; uncertainty; recoverable and unrecoverable defects.
File-URL: http://www.inderscience.com/link.php?id=125665
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:86-111

Template-Type: ReDIF-Article 1.0
Author-Name: Surya Prakash
Author-X-Name-First: Surya
Author-X-Name-Last: Prakash
Author-Name: Vijay Prakash Sharma
Author-X-Name-First: Vijay Prakash
Author-X-Name-Last: Sharma
Author-Name: Gunjan Soni
Author-X-Name-First: Gunjan
Author-X-Name-Last: Soni
Author-Name: Lalit Kumar Sharma
Author-X-Name-First: Lalit Kumar
Author-X-Name-Last: Sharma
Author-Name: Shaik Riyaz
Author-X-Name-First: Shaik
Author-X-Name-Last: Riyaz
Title: Modelling and analysis of the critical success factors in the fresh food processing supply chain
Abstract:
Fresh food processing capabilities is an area of the supply chain that has a high perspective to add value. 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 lead 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.
Journal: Int. J. of Logistics Systems and Management
Pages: 48-65
Issue: 1
Volume: 43
Year: 2022
Keywords: fresh food processing industry; critical success factors; CSF; TOPSIS; supply chain.
File-URL: http://www.inderscience.com/link.php?id=125674
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:48-65

Template-Type: ReDIF-Article 1.0
Author-Name: Olga Patricia Cobo Betancourt
Author-X-Name-First: Olga Patricia Cobo
Author-X-Name-Last: Betancourt
Author-Name: John Willmer Escobar
Author-X-Name-First: John Willmer
Author-X-Name-Last: Escobar
Author-Name: William Ocampo Duque
Author-X-Name-First: William Ocampo
Author-X-Name-Last: Duque
Title: Design and formulation of an inventory management system for raw materials by using multi-criteria methods and fuzzy approach
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 131-152
Issue: 1
Volume: 43
Year: 2022
Keywords: deterministic demand; stochastic demand; inventory cost; ABC inventory classification; intermittent demand; lead time; MRP.
File-URL: http://www.inderscience.com/link.php?id=125678
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:131-152

Template-Type: ReDIF-Article 1.0
Author-Name: Dzakiyah Widyaningrum
Author-X-Name-First: Dzakiyah
Author-X-Name-Last: Widyaningrum
Author-Name: Said Salim Dahda
Author-X-Name-First: Said Salim
Author-X-Name-Last: Dahda
Author-Name: Rika Ampuh Hadiguna
Author-X-Name-First: Rika Ampuh
Author-X-Name-Last: Hadiguna
Title: Fuzzy logic for measuring performance of traditional aquaculture fish supply chain by considering the environmental impacts
Abstract:
This research measures aquaculture fish supply chain (SC) performance using fuzzy logic. SC performance needs to be measured to assess how good it is. It must be done by considering the uniqueness and complexity. SC is a complex system due to its uncertainties, many actors, and different indicators. Extensive aquaculture fish is a perishable product, seasonal, and has 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 logic. 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 having the lowest performance.
Journal: Int. J. of Logistics Systems and Management
Pages: 112-130
Issue: 1
Volume: 43
Year: 2022
Keywords: supply chain; performance measurement; aquaculture; fish; environment; fuzzy logic; linguistic scale.
File-URL: http://www.inderscience.com/link.php?id=125683
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Handle: RePEc:ids:ijlsma:v:43:y:2022:i:1:p:112-130

Template-Type: ReDIF-Article 1.0
Author-Name: Moulik Kapadia
Author-X-Name-First: Moulik
Author-X-Name-Last: Kapadia
Author-Name: Emanuel Melachrinoudis
Author-X-Name-First: Emanuel
Author-X-Name-Last: Melachrinoudis
Author-Name: Nizar Zaarour
Author-X-Name-First: Nizar
Author-X-Name-Last: Zaarour
Title: Optimal collection policies for returned products in the reverse supply chain
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 240-272
Issue: 2
Volume: 42
Year: 2022
Keywords: product returns; reverse logistics; optimisation; multiple collection points; reverse supply chain; closed-loop supply chain; operations research.
File-URL: http://www.inderscience.com/link.php?id=124155
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:240-272

Template-Type: ReDIF-Article 1.0
Author-Name: Marzieh Shayannejad
Author-X-Name-First: Marzieh
Author-X-Name-Last: Shayannejad
Author-Name: Mehdi Alinaghian
Author-X-Name-First: Mehdi
Author-X-Name-Last: Alinaghian
Author-Name: Hadi Shirouyehzad
Author-X-Name-First: Hadi
Author-X-Name-Last: Shirouyehzad
Title: Providing a two-objective mathematical model to design a green reverse logistics network with vehicle routing
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 176-197
Issue: 2
Volume: 42
Year: 2022
Keywords: green reverse logistic; mixed integer nonlinear programming; meta-heuristic algorithms.
File-URL: http://www.inderscience.com/link.php?id=124156
File-Format: text/html
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:176-197

Template-Type: ReDIF-Article 1.0
Author-Name: Jae-Dong Hong
Author-X-Name-First: Jae-Dong
Author-X-Name-Last: Hong
Author-Name: Judith L. Mwakalonge
Author-X-Name-First: Judith L.
Author-X-Name-Last: Mwakalonge
Title: An efficiency-based approach to biofuel facility location-routing network design
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.
Journal: Int. J. of Logistics Systems and Management
Pages: 273-295
Issue: 2
Volume: 42
Year: 2022
Keywords: goal programming; data envelopment analysis; biofuel facility location-routing network; facility disruptions.
File-URL: http://www.inderscience.com/link.php?id=124157
File-Format: text/html
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Handle: RePEc:ids:ijlsma:v:42:y:2022:i:2:p:273-295