Template-Type: ReDIF-Article 1.0 Author-Name: Taofeeq Durojaye Moshood Author-X-Name-First: Taofeeq Durojaye Author-X-Name-Last: Moshood Author-Name: Gusman Nawanir Author-X-Name-First: Gusman Author-X-Name-Last: Nawanir Author-Name: Fatimah Mahmud Author-X-Name-First: Fatimah Author-X-Name-Last: Mahmud Author-Name: Fazeeda Mohamad Author-X-Name-First: Fazeeda Author-X-Name-Last: Mohamad Author-Name: Mohd Hanafiah Ahmad Author-X-Name-First: Mohd Hanafiah Author-X-Name-Last: Ahmad Author-Name: Airin AbdulGhani Author-X-Name-First: Airin Author-X-Name-Last: AbdulGhani Title: A systematic review and research direction on the interaction between organisational factors, supply chain risk management, and biodegradable plastics Abstract: Supply chains have become more dynamic, intertwined, and interdependent due to this process of globalisation. These supply chains are also marked by external uncertainties, such as fluctuations in the currency exchange rate, adjustments in the import tax rate and so on. Thus, a business needs to achieve a strategic edge to handle global supply chain uncertainty and related risks. This study focused on the link between organisational factors and the management of biodegradable plastics supply chain risk management to sustainability, as well as the role of coercive pressure as a moderating variable. The use of intelligent supply chain risk management of biodegradable plastics is critical to focus on environmental challenges while also managing economic and social advantages. This research will also determine the level of biodegradable plastics risk management in the supply chain and build a risk management supply chain system to help Malaysia's biodegradable plastics increase substantially. Journal: Int. J. of Logistics Systems and Management Pages: 451-483 Issue: 4 Volume: 46 Year: 2023 Keywords: biodegradable plastics industry; supply chain risk management; coercive pressure; organisational control theory; contingency theory. File-URL: http://www.inderscience.com/link.php?id=135424 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:4:p:451-483 Template-Type: ReDIF-Article 1.0 Author-Name: Anyi Reyes Author-X-Name-First: Anyi Author-X-Name-Last: Reyes Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Author-Name: Julio Cesar Londoño Author-X-Name-First: Julio Cesar Author-X-Name-Last: Londoño Title: Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach Abstract: The supplier selection problem (SSP) determines the choice of the best suppliers by considering qualitative and quantitative criteria. This paper proposes a two-stage hybrid methodology for selecting suppliers using the K-means grouping technique and the multi-criteria decision-making technique for order performance by similarity to ideal solution (TOPSIS). In particular, suppliers are grouped according to the K-means algorithm using diverse purchase categories of services and goods. Once the groups of suppliers with the best performance have been generated by considering several criteria, the TOPSIS algorithm establishes their ranking. The proposed approach seeks to minimise the purchase cost by selecting the suppliers with the best results under different criteria. The former methodology has been tested in a real case on a company belonging to the agro-industrial sector in Colombia. The obtained results show the efficiency of the proposed approach. Journal: Int. J. of Logistics Systems and Management Pages: 174-205 Issue: 2 Volume: 46 Year: 2023 Keywords: supplier selection; k-means grouping method; MCDM; supply chain management; TOPSIS. File-URL: http://www.inderscience.com/link.php?id=134401 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:174-205 Template-Type: ReDIF-Article 1.0 Author-Name: Benitha M. Myamba Author-X-Name-First: Benitha M. Author-X-Name-Last: Myamba Author-Name: Deusdedit A. Rwehumbiza Author-X-Name-First: Deusdedit A. Author-X-Name-Last: Rwehumbiza Title: The influence of supply chain strategies on manufacturing competitiveness Abstract: The current shift of competition from between firms to supply chains makes supply chain strategies a valuable way of improving manufacturing competitiveness across the globe. However, the relationship between the supply chain strategies and manufacturing competitiveness has been treated piecemeal. This study examines the relationship between the supply chain strategies and manufacturing competitiveness through the resource-based view (hereinafter RBV). The study adopts a positivist philosophy and survey strategy. With the assistance of partial least squares structural equation modelling (PLS-SEM) the hypothesised relationships between the supply chain strategies and manufacturing competitiveness are tested with data from 300 manufacturers. The findings indicate that the supply chain strategies are positively related to manufacturing competitiveness. These findings provide support to the RBV, that internal resources are crucial for devising efficient and effective supply chain strategies. This study advances the existing knowledge of supply chain management and firm performance by linking supply chain strategies to manufacturing competitiveness. Furthermore, the results may help manufacturers to allocate resources to key supply chain strategic areas for superior competitiveness. Journal: Int. J. of Logistics Systems and Management Pages: 143-173 Issue: 2 Volume: 46 Year: 2023 Keywords: supply chain; supply chain strategies; efficiency; responsiveness; risk hedging; agility; manufacturing; manufacturing competitiveness; resource-based view; RBV; modelling; partial least squares structural equation modelling; PLS-SEM; smartPLS. File-URL: http://www.inderscience.com/link.php?id=134403 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:143-173 Template-Type: ReDIF-Article 1.0 Author-Name: Risto Heikkinen Author-X-Name-First: Risto Author-X-Name-Last: Heikkinen Author-Name: Juha Sipilä Author-X-Name-First: Juha Author-X-Name-Last: Sipilä Author-Name: Vesa Ojalehto Author-X-Name-First: Vesa Author-X-Name-Last: Ojalehto Author-Name: Kaisa Miettinen Author-X-Name-First: Kaisa Author-X-Name-Last: Miettinen Title: Flexible data driven inventory management with interactive multi-objective lot size optimisation Abstract: We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with one's preference information to find the most preferred solution with acceptable trade-offs. As a proof of concept, to demonstrate the benefits of the approach, we utilise real-world data from a production company and compare the optimised lot sizes to decisions made without support. With our approach, the decision maker obtained very satisfactory solutions. Journal: Int. J. of Logistics Systems and Management Pages: 206-235 Issue: 2 Volume: 46 Year: 2023 Keywords: inventory management; data driven optimisation; multicriteria optimisation; interactive methods; Bayesian models; demand forecasting; lot sizing; Pareto optimality; decision support. File-URL: http://www.inderscience.com/link.php?id=134404 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:206-235 Template-Type: ReDIF-Article 1.0 Author-Name: Ilkan Sarigol Author-X-Name-First: Ilkan Author-X-Name-Last: Sarigol Title: Ant colony algorithm for heterogonous green vehicle routing problem with split delivery Abstract: Logistic activities in urban areas are one of the leading reasons for greenhouse gas emissions. A mixed-integer linear programming model is proposed for heterogeneous green vehicle routing problem with split deliveries and time windows by considering different vehicle speeds and types. Random problems are generated and solved with the ant colony optimisation algorithm and compared with the CPLEX solver to validate the algorithm. Finally, a case problem is studied to determine managerial insights. The results suggest that vehicle capacity and type impose GHG emissions. If vehicle type is kept the same, emission released to the environment will decline with increasing vehicle capacity. Higher capacity vehicles generate less GHG emissions in scenarios with increasing demand and traffic intensity. However, small-capacity vehicles perform better in strict time windows. Finally, a reduction in emission with heterogeneous fleets is limited. Homogeneous fleets perform better and generate less emission in most of the scenarios. Journal: Int. J. of Logistics Systems and Management Pages: 236-262 Issue: 2 Volume: 46 Year: 2023 Keywords: green vehicle routing; heterogeneous fleet; split delivery; vehicle speed; time windows; ant colony algorithm. File-URL: http://www.inderscience.com/link.php?id=134405 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:236-262 Template-Type: ReDIF-Article 1.0 Author-Name: Thananya Wasusri Author-X-Name-First: Thananya Author-X-Name-Last: Wasusri Author-Name: Supakit Piyapattamaka Author-X-Name-First: Supakit Author-X-Name-Last: Piyapattamaka Title: Antecedent factors in supply chain relationships: evidence from Thailand Abstract: This study explores the factors influencing trust, commitment, and firm performance in Thailand's textile and apparel supply chains. The factors influencing supply chain relationships and performance may vary in terms of infrastructure, information technology, and culture across different industries and countries. In this study, exploratory factory analysis, analysis of variance, and regression analysis were conducted to analyse the data of 149 Thai firms, collected via questionnaires, online surveys, and postal surveys. The results show that information sharing, information availability, and information quality are important in improving trust among supply chain members. Additionally, higher levels of information quality and trust lead to higher levels of commitment, which in turn can improve performance. Further, the perception of supply chain relationships is higher in the upstream than in the downstream. Therefore, suppliers, or the upstream, concentrate more on enhancing information sharing, trust, and commitment compared to buyers, or the downstream supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 263-284 Issue: 2 Volume: 46 Year: 2023 Keywords: supply chain relationship; information sharing; information quality; information availability; trust; commitment; performance; textile; Thailand; factor analysis; regression analysis. File-URL: http://www.inderscience.com/link.php?id=134407 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:263-284 Template-Type: ReDIF-Article 1.0 Author-Name: Rajveer Singh Author-X-Name-First: Rajveer Author-X-Name-Last: Singh Author-Name: Ankit Chouksey Author-X-Name-First: Ankit Author-X-Name-Last: Chouksey Author-Name: Ajinkya N. Tanksale Author-X-Name-First: Ajinkya N. Author-X-Name-Last: Tanksale Author-Name: Cherian Samuel Author-X-Name-First: Cherian Author-X-Name-Last: Samuel Title: A strategic model for the closed-loop supply chain network design for omni-channel retailing Abstract: The 'omni-channel' way is to provide a seamless shopping experience to the customers through the integration of product information and delivery through hybrid combination of physical and online channels. The paradigm shift from multi-channel to omni-channel has posed several implementation challenges. The key challenge is the design of supply chain network in an omni-channel paradigm which is addressed in this paper. We consider an omni-channel retail supply chain with the online, showroom and store channels for the product information and in-store pick-up/drop-off and home delivery/pickup as the product fulfilment/recovery channels. A mixed-integer programming (MIP) model is proposed to minimise the location and allocation costs. The model provides an optimal configuration of different facilities and demand allocation patterns in the omni-channel environment. The concept of the model is demonstrated with an illustrative example. A MIP-based mathematical heuristic is developed to solve the problem efficiently. The sensitivity of the model to key parameters is demonstrated with computational experiments and finally, a scenario-based robust optimisation model is also proposed to capture the uncertainty in various types of demands. Journal: Int. J. of Logistics Systems and Management Pages: 484-517 Issue: 4 Volume: 46 Year: 2023 Keywords: omni-channel; retail; supply chain; network design; heuristic. File-URL: http://www.inderscience.com/link.php?id=135436 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:4:p:484-517 Template-Type: ReDIF-Article 1.0 Author-Name: Amulya Gurtu Author-X-Name-First: Amulya Author-X-Name-Last: Gurtu Title: Truck transport industry in the USA: challenges and likely disruptions Abstract: This study presents challenges and likely disruptive changes in the US trucking/logistics industry in the next decade and how these challenges and disruption might affect supply chain management, logistics management, and truck transport industries in the USA. This is a qualitative study based on interviews with senior executives from big transport organisations. The shortage of drivers and capacity constraints precipitated to be the main challenges, and blockchain technology is likely to be a disruptive technology. There seems to be a consensus among the executives interviewed on the use of fully autonomous Class-8 trucks (semi) on highways and city roads that it is too far in the future. The study is limited to the interviews of eight senior executives from four big transport organisations. Journal: Int. J. of Logistics Systems and Management Pages: 46-58 Issue: 1 Volume: 44 Year: 2023 Keywords: logistics industry; logistics services; transport industry; supply chain management; strategic management; supply chain risk; autonomous vehicles; blockchain technology; electronic logging device; ELD. File-URL: http://www.inderscience.com/link.php?id=128552 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:46-58 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Title: Supply chain crisis management in the wake of the COVID-19 pandemic Abstract: The COVID-19 pandemic has created an unprecedented health and financial crisis across the world. This crisis has not shown any sign of abatement despite world-wide efforts to contain the spread of the virus with draconian measures such as extensive social distancing, travel restrictions, and lockdowns. An inherent difficulty in controlling this crisis has disrupted the entire global supply chain and consequently threatened our livelihood and freedom. Faced with this daunting crisis, many businesses regardless of their sizes desperately need a viable survival strategy. To fill such a need, this paper reinvents crisis management tools and develops a strategy map for mitigating the adverse impact of COVID-19 on global supply chain operations, while enhancing supply chain resilience in times of turbulence and uncertainty. Journal: Int. J. of Logistics Systems and Management Pages: 1-16 Issue: 1 Volume: 44 Year: 2023 Keywords: COVID-19 pandemic; supply chain crisis management; strategy map; expository paper. File-URL: http://www.inderscience.com/link.php?id=128555 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: T.S. Deepu Author-X-Name-First: T.S. Author-X-Name-Last: Deepu Author-Name: V. Ravi Author-X-Name-First: V. Author-X-Name-Last: Ravi Title: Analysis of the enablers of supply chain digitalisation in the electronics industry: an interpretive structural modelling approach Abstract: Supply chain digitalisation has great advantages. In spite of a large number of studies, there is a lack of literature to identify and address the key enablers to be considered for supply chain digitalisation. In this study, 13 key enablers for integration of supply chain through digitalisation in an electronic supply chain in Indian context are identified and shortlisted in consultation with the experts from industry and academia. Interpretive structural modelling has been used for understanding of the hierarchical and contextual influences among the identified key enablers for supply chain digitalisation. Results of the model indicate that prior to taking a decision on supply chain digitalisation, companies have to identify the key enablers and its impact on digitalisation process. Policy decision-makers could use the results of this study to identify the key enablers and their interrelationship for taking effective decision for supply chain digitalisation process. Journal: Int. J. of Logistics Systems and Management Pages: 105-131 Issue: 1 Volume: 44 Year: 2023 Keywords: supply chain digitalisation; SCD; interpretive structural modelling; ISM; digitalisation enablers; MICMAC approach; electronics industry. File-URL: http://www.inderscience.com/link.php?id=128556 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:105-131 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjay Kumar Author-X-Name-First: Sanjay Author-X-Name-Last: Kumar Author-Name: Asim Gopal Barman Author-X-Name-First: Asim Gopal Author-X-Name-Last: Barman Title: Supplier evaluation using AHP for a small scale iron and steel plant in eastern India Abstract: The paper presents a multi-criteria decision-making model for evaluation of suppliers using the analytic hierarchy process (AHP) for a small-scale sponge iron and steel plant in eastern India. A systematic research framework has been proposed for the same. The process uses a pair-wise comparison of the criterion importance based on decision-makers' opinions to find their relative weights. The main criteria are identified based on literature review and experts' opinions. The criteria are cost, delivery, quality, location, communication, management, performance history and reputation. The next stage involves a pair-wise comparison of the suppliers based on each criterion to find their relative importance. Overall sensitivity analysis has been conducted using MS Excel to inspect the flexibility of the model for evaluating suppliers, i.e., how the change in the ranking of the suppliers occurs when there is a change in relative weightage of criteria. Journal: Int. J. of Logistics Systems and Management Pages: 59-84 Issue: 1 Volume: 44 Year: 2023 Keywords: supplier selection; iron and steel plant; analytic hierarchy process; AHP; sensitivity analysis; India. File-URL: http://www.inderscience.com/link.php?id=128557 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:59-84 Template-Type: ReDIF-Article 1.0 Author-Name: Iñigo L. Ansorena Author-X-Name-First: Iñigo L. Author-X-Name-Last: Ansorena Title: On the liner shipping network design: the Maritime Silk Route case study Abstract: The Maritime Silk Route is a crucial channel for economic exchanges between China and Europe. In the year 2018, the sea route between Asia and Europe moved more than 24 million TEU. In this context, the optimal design of liner services is of crucial importance. We present a general framework for the optimal design of these services. First, we develop a gravity model representing the spatial interaction between ports. Then we obtain a minimum spanning tree by means of Kruskal optimisation and finally we use the Louvain method to determine the communities within the network. Two scenarios are discussed. The first gives more importance to distances, while the second gives more importance to port throughputs. The paper discusses the main differences between the two cases and highlights which ports gain or lose connections depending on the market environment. The resulting graphs are a good reference for designing better services. Journal: Int. J. of Logistics Systems and Management Pages: 132-146 Issue: 1 Volume: 44 Year: 2023 Keywords: maritime network; network design; minimum spanning tree; MST; gravity model; importance matrix; maritime services; complex graph. File-URL: http://www.inderscience.com/link.php?id=128558 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:132-146 Template-Type: ReDIF-Article 1.0 Author-Name: Adeel Ahmad Author-X-Name-First: Adeel Author-X-Name-Last: Ahmad Author-Name: Mourad Bouneffa Author-X-Name-First: Mourad Author-X-Name-Last: Bouneffa Author-Name: Hayder I. Hendi Author-X-Name-First: Hayder I. Author-X-Name-Last: Hendi Author-Name: Cyril Fonlupt Author-X-Name-First: Cyril Author-X-Name-Last: Fonlupt Title: Assisted discovery of optimal solution for logistics problems using ontology modelling Abstract: The logistics processes conjointly execute various physical and logical tasks. The physical tasks may concern the elements such as goods to be transported, vehicles, and human resources. Whereas, the logical tasks are generally accomplished by software units that can be fully automatic or interactive such as optimisation methods or event management, etc. The logistics problems are often complex np-hard combinatorial optimisation problems. In this paper, we define the shared conceptual vocabulary concerning the logistics problems and inherent optimisation solutions. The result of the work is a knowledge base system, which is formalised and implemented as a set of ontologies. These have been used as key components of a tool that may assist the logistics expert to identify the related optimisation methods to solve the concerned problem and eventually list the available corresponding web-services implementing them. Journal: Int. J. of Logistics Systems and Management Pages: 85-104 Issue: 1 Volume: 44 Year: 2023 Keywords: optimisation ontology; transportation optimisation; automated transportation; optimisation methods; decision support systems; logistics ontology; vehicle routing problems; VRPs. File-URL: http://www.inderscience.com/link.php?id=128559 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:85-104 Template-Type: ReDIF-Article 1.0 Author-Name: Neeraj Kumar Author-X-Name-First: Neeraj Author-X-Name-Last: Kumar Author-Name: Mohit Tyagi Author-X-Name-First: Mohit Author-X-Name-Last: Tyagi Author-Name: Anish Sachdeva Author-X-Name-First: Anish Author-X-Name-Last: Sachdeva Title: Technological assessment of global warming inference for cold supply chain performance Abstract: Now a day, a need arises to maintain and improve the self-life and texture of temperature sensitive products in a wide range with a stable supermarket of cold supply chain. Since, the cold supply chain uses a very huge amount of energy consumption and hazardous refrigerants in refrigeration process of the temperature sensitive products, the attention over its operations and related emission become very important from the environmental as well as economic point of view. This paper aims to identify and analyse the most critical criteria related to the emissions from the cold supply chain and to find out the best possible alternatives that optimise the cold supply chain performance cost as well as global warming cost of the same. Journal: Int. J. of Logistics Systems and Management Pages: 17-45 Issue: 1 Volume: 44 Year: 2023 Keywords: cold supply chain; HFC gases; greenhouse gases; global warming effect; AHP; TOPSIS approach. File-URL: http://www.inderscience.com/link.php?id=128582 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:1:p:17-45 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Nazeri Author-X-Name-First: Ali Author-X-Name-Last: Nazeri Author-Name: Maryam Farahani Author-X-Name-First: Maryam Author-X-Name-Last: Farahani Author-Name: Seyed Mohamad Mehdi Kazemi Author-X-Name-First: Seyed Mohamad Mehdi Author-X-Name-Last: Kazemi Author-Name: Nasser Safaie Author-X-Name-First: Nasser Author-X-Name-Last: Safaie Title: A combined approach to risk assessment in the sustainable supply chain Abstract: The purpose of this research is to provide an approach to assess risk management in the sustainable supply chain of Iran Khodro Company. To understand the relationship between the sustainable supply chain risks, using the grey DEMATEL method, the cause and effect graph of these risks was identified. The results showed that the 'financial crisis' index had more interaction compared to other indicators. The 'unfair wage' index has the least dependence on other outputs due to the number of output relationships, but other indicators are highly dependent on it. Also, the 'safe and healthy work environment' indicator has the highest dependence on other indexes with respect to the number of inputs, but other indicators have a small dependence on it. The research results provide a comprehensive model for assessing the sustainable supply chain risk in the automotive industry, which can be used by industry and researchers. Journal: Int. J. of Logistics Systems and Management Pages: 300-353 Issue: 3 Volume: 44 Year: 2023 Keywords: sustainable supply chain; risk management; Delphi; grey DEMATEL; Iran Khodro Company. File-URL: http://www.inderscience.com/link.php?id=129364 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:3:p:300-353 Template-Type: ReDIF-Article 1.0 Author-Name: Sylivan Boakai Author-X-Name-First: Sylivan Author-X-Name-Last: Boakai Author-Name: Funda Samanlioglu Author-X-Name-First: Funda Author-X-Name-Last: Samanlioglu Title: An MCDM approach to third party logistics provider selection Abstract: In order to focus on their main skills and be more competitive and efficient in business, firms frequently outsource their logistics functions to a third party logistics (3PL) provider. Evaluation and selection of a 3PL provider is a multi-criteria decision-making (MCDM) process due to the need to take into consideration various potentially competing qualitative and quantitative criteria. In this paper, as the MCDM method, fuzzy best-worst method (BWM) is applied to a 3PL provider selection problem of a textile company in Turkey. Here, six 3PL provider alternatives are evaluated with respect to 15 criteria by three managers (decision makers). Fuzzy BWM incorporates decision makers' imprecision and ambiguity to the decision-making process and requires fewer pairwise comparisons than a frequently used method in 3PL provider selection, fuzzy analytic hierarchy process (AHP). Consistent results are always obtained through using fuzzy BWM, though not fully consistent. Journal: Int. J. of Logistics Systems and Management Pages: 283-299 Issue: 3 Volume: 44 Year: 2023 Keywords: third-party logistics provider selection; third party logistics; 3PL; multi-criteria decision-making; MCDM; fuzzy; best-worst method; BWM. File-URL: http://www.inderscience.com/link.php?id=129365 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:3:p:283-299 Template-Type: ReDIF-Article 1.0 Author-Name: Soudeh Afsharian Author-X-Name-First: Soudeh Author-X-Name-Last: Afsharian Author-Name: L. Sohrabi Adel Author-X-Name-First: L. Sohrabi Author-X-Name-Last: Adel Author-Name: B. Afsharian Author-X-Name-First: B. Author-X-Name-Last: Afsharian Title: Investigating barriers in green supply chain management using the FANP method - case study: Iranian industrial companies Abstract: Environmental management has become a standard component among societies with an emphasis on environmental protection, leading to the creation of a new concept of an environment-friendly business called 'green supply chain management - GSCM'. This study aims to identify the significant barriers to establishing green supply chains in developing countries such as Iran using the multi-criteria decision-making (MCDM) method. Investigating such industries as petrochemicals, detergents, automotive, etc., the researchers will identify the critical components of GSC barriers, using phase network analysis, and then they will be ranked in the order of importance. The results of this study yield that the main categories of barriers are knowledge-related, product and design-related, modern technology and encouragement-related. This study is the first study conducted in various industrial sectors in Iran and stands out because the barriers are ranked, a strong point that helps policy planners, managers, and decision-makers make GSCM practices a success. Journal: Int. J. of Logistics Systems and Management Pages: 403-430 Issue: 3 Volume: 44 Year: 2023 Keywords: multiple phase decision-making; fuzzy network analysis process; green supply chain factors; green supply chain barriers; green supply chain management; GSCM. File-URL: http://www.inderscience.com/link.php?id=129366 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:3:p:403-430 Template-Type: ReDIF-Article 1.0 Author-Name: Israel Woldekidan Haileyesus Author-X-Name-First: Israel Woldekidan Author-X-Name-Last: Haileyesus Title: Introducing electronic bill of lading in foreign trade: empirical assessment of the practical need in Ethiopia Abstract: Paper bill of lading has passed through different stages of development depending on the function it performs. Form-wise, it has been used in the forms of paper bill of lading until recent time. However, the advent of technology and the inherent problems associated with being used in the forms of paper results in the introduction of the dematerialised bill of lading in the international commercial transaction. This article aimed to investigate the need for introducing an electronic bill of lading in Ethiopia. To address the issue, the paper employed socio-legal research methodology to look into whether there are factors that necessitate the introduction of electronic bill of lading in Ethiopia or not, and showed that there are actual demanding factors for introducing it in the Ethiopia foreign trade regime. Journal: Int. J. of Logistics Systems and Management Pages: 354-368 Issue: 3 Volume: 44 Year: 2023 Keywords: e-logistics; foreign trade; late arrival; documentary fraud; trade flow; electronic bill of lading; electronic commerce; technological readiness. File-URL: http://www.inderscience.com/link.php?id=129368 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:3:p:354-368 Template-Type: ReDIF-Article 1.0 Author-Name: Sanaz Khalaj Rahimi Author-X-Name-First: Sanaz Khalaj Author-X-Name-Last: Rahimi Author-Name: Mehdi Seifbarghy Author-X-Name-First: Mehdi Author-X-Name-Last: Seifbarghy Author-Name: Davar Pishva Author-X-Name-First: Davar Author-X-Name-Last: Pishva Title: Solving a multi-echelon inventory-location problem utilising an efficient Lagrangian relaxation-based heuristic Abstract: This paper considers an integrated inventory-location problem in which a single product is supplied and distributed through a multi-echelon supply chain including a number of suppliers, distribution centres (DCs), and retailers. It adopts the well-known periodic review inventory control policy (<i>R</i>, <i>S</i>) at DCs. The problem is formulated as a mixed integer nonlinear programming problem and is solved utilising a Lagrangian relaxation-based heuristic. One of its main focuses is to reduce processing time, particularly when dealing with large-size problems. This is achieved via an additional step which converts the lower bound of the Lagrangian relaxation algorithm to an appropriate upper bound. Furthermore, we examine all the combinations of the constraints of the model when selecting constraints to be relaxed. The computational results confirm the efficiency of the proposed approach (i.e., an obtained average time of around 8 minutes with an optimality distance of less than 3%). Journal: Int. J. of Logistics Systems and Management Pages: 369-402 Issue: 3 Volume: 44 Year: 2023 Keywords: supply chain management; location-inventory; mixed nonlinear integer programming; Lagrangian relaxation. File-URL: http://www.inderscience.com/link.php?id=129371 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:3:p:369-402 Template-Type: ReDIF-Article 1.0 Author-Name: Anas Abudaqa Author-X-Name-First: Anas Author-X-Name-Last: Abudaqa Author-Name: Rashed Alzahmi Author-X-Name-First: Rashed Author-X-Name-Last: Alzahmi Author-Name: Mohd. Faiz Hilmi Author-X-Name-First: Mohd. Faiz Author-X-Name-Last: Hilmi Author-Name: Gouher Ahmed Author-X-Name-First: Gouher Author-X-Name-Last: Ahmed Title: How supply chain resilience is achieved in SMEs of Dubai, UAE? Considering the flexible supply chain practices as a mediator Abstract: This study explores the role of supply chain design (SCD), supply chain collaboration, and supply chain risk in achieving supply chain resilience in manufacturing small and medium-sized enterprises (SMEs) in Dubai. The 323 responses received were analysed through structural equation modelling using SmartPLS 3.0 software. The findings indicate that SCD, collaboration, and risk management enhance supply chain resilience in manufacturing SMEs in Dubai. The flexible practices of the supply chain, with its constituent dimensions of information sharing and postponement extent, are not significant for any examined relationship. Furthermore, the mediating effect is positive but not strong for all the intervening relationships. The study has practical implications for shaping corporate policy for manufacturing SMEs. Relevant management and policymakers can use the findings to consider effective designs of a collaborative system of supply chain and supply chain risk management in achieving supply chain resilience. Journal: Int. J. of Logistics Systems and Management Pages: 159-174 Issue: 2 Volume: 45 Year: 2023 Keywords: supply chain resilience; supply chain flexibility; supply chain design; SCD; supply chain collaboration; SCC; supply chain risk; small and medium-sized enterprises; SMEs; Dubai. File-URL: http://www.inderscience.com/link.php?id=131420 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:159-174 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Cheikh Author-X-Name-First: Mohamed Author-X-Name-Last: Cheikh Author-Name: Taicir Moalla Loukil Author-X-Name-First: Taicir Moalla Author-X-Name-Last: Loukil Title: A general variable neighbourhood search for the commodity constrained split delivery vehicle routing problem Abstract: The commodity constrained split delivery vehicle routing problem (C-SDVRP) is a relaxed version of the classical VRP. This problem emanates where customers request several commodities that can be delivered separately using a set of vehicles. With limited capacity, these vehicles can convey any mixed commodities set. More than one vehicle may visit one customer, and in each visit, each product must be delivered in its entirety. The objective is to minimise the total cost of the vehicle routes. To solve the C-SDVRP, we propose a general variable neighbourhood search (GVNS) that uses a random variable neighbourhood descent (RVND), in which we explore five neighbourhood structures. Computational experiments on large-sized instances show that the proposed approach finds several new best-known solutions, together with some improvement on the number of used vehicles. The results demonstrate that GVNS has a fast convergence rate and high computational accuracy. Journal: Int. J. of Logistics Systems and Management Pages: 249-267 Issue: 2 Volume: 45 Year: 2023 Keywords: vehicle routing problem; multiple commodities; split delivery; metaheuristics; variable neighbourhood search. File-URL: http://www.inderscience.com/link.php?id=131421 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:249-267 Template-Type: ReDIF-Article 1.0 Author-Name: Srichandan Sahu Author-X-Name-First: Srichandan Author-X-Name-Last: Sahu Author-Name: K.V.S.S. Narayana Rao Author-X-Name-First: K.V.S.S. Narayana Author-X-Name-Last: Rao Title: A macro-view of the supply chain management adoption status in India: insights from manufacturing firms Abstract: A macro-view of the supply chain management (SCM) adoption status in India is absent. Insights on the quantum SCM adoption, the process areas of adoption, the reasons for the adoptions and non-adoptions, and a comparison of the adopter and non-adopter firms in terms of process capabilities and firm performance are also not covered in the previous literature. The present study has created a comprehensive macro-view of SCM adoption in India based on a survey of the large manufacturing firms in India. This study finds that SCM adoption in India is low. The findings also emphasise that business case preparation is an important precursor to SCM adoption. SCM adoption results in a positive return on investment (ROI), with a lag of one to five years. Adopter firms were found to have higher operational performance, and market share than non-adopter firms. The findings of this study have practical managerial implications for practitioners, SCM vendors, consultants, researchers, and industry bodies. Journal: Int. J. of Logistics Systems and Management Pages: 194-227 Issue: 2 Volume: 45 Year: 2023 Keywords: supply chain management; SCM; adoption; diffusion; barrier; SCM macro-view; India; survey; process capability; firm performance; ROI. File-URL: http://www.inderscience.com/link.php?id=131422 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:194-227 Template-Type: ReDIF-Article 1.0 Author-Name: Ameneh Khadivar Author-X-Name-First: Ameneh Author-X-Name-Last: Khadivar Author-Name: Hamideh Nazarian Author-X-Name-First: Hamideh Author-X-Name-Last: Nazarian Author-Name: Saeedeh Salemi Author-X-Name-First: Saeedeh Author-X-Name-Last: Salemi Title: Modelling the factors affecting the adoption of mobile supply chain management in the food distribution industry Abstract: Mobile supply chain management (mSCM) can be considered as a solution to reduce costs and increase competitive advantage. Thus, this study aims to identify the key factors affecting the adoption of mSCM systems and explore their importance in the food distribution industry. For this purpose, a survey has been conducted among 90 companies active in the food field, and the required data was collected through a questionnaire distributed among experts and managers of these companies. Data analysis was carried out via structural equation modelling. Constructs of the research model are obtained from the combination of technology, organisation, and environment (TOE) theory and inter-organisational relationships theory (IOR), which is prioritised from the users' point of view as IOR factors, environmental factors, organisational factors, and technological factors. Besides, research findings show that in the IOR dimension, as the key factor in the adoption of mSCM, 'information sharing' is far more substantial. Journal: Int. J. of Logistics Systems and Management Pages: 228-248 Issue: 2 Volume: 45 Year: 2023 Keywords: supply chain management; SCM; mobile supply chain management; mSCM; adoption model. File-URL: http://www.inderscience.com/link.php?id=131423 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:228-248 Template-Type: ReDIF-Article 1.0 Author-Name: Piotr Gorzelańczyk Author-X-Name-First: Piotr Author-X-Name-Last: Gorzelańczyk Author-Name: Kinga Wawrzyniak Author-X-Name-First: Kinga Author-X-Name-Last: Wawrzyniak Title: Optimising the process of storage and transport of grains and feeds Abstract: The aim of the article is to propose solutions aimed at optimising the existing warehouse and transport processes in the production company. Therefore, it presents the problems faced by production companies in terms of the correct organisation of warehouse and transport processes. Theoretical aspects of warehouse management and transport were also described, the production company was characterised and the processes of storage and transport were analysed. Three optimisation solutions were proposed to be implemented in the analysed enterprise, which were the subject of the study. The main conclusion of the study is that the company needs changes to eliminate bottlenecks. Most of the respondents believe that the company needs additional loading and unloading stations. Journal: Int. J. of Logistics Systems and Management Pages: 175-193 Issue: 2 Volume: 45 Year: 2023 Keywords: warehousing; warehouse process; handling; optimisation of the storage process. File-URL: http://www.inderscience.com/link.php?id=131424 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:175-193 Template-Type: ReDIF-Article 1.0 Author-Name: Hamza El Garrab Author-X-Name-First: Hamza El Author-X-Name-Last: Garrab Author-Name: David Lemoine Author-X-Name-First: David Author-X-Name-Last: Lemoine Author-Name: Adnane Lazrak Author-X-Name-First: Adnane Author-X-Name-Last: Lazrak Author-Name: Robert Heidsieck Author-X-Name-First: Robert Author-X-Name-Last: Heidsieck Author-Name: Bruno Castanier Author-X-Name-First: Bruno Author-X-Name-Last: Castanier Title: Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context Abstract: A key goal of after-sale services is to achieve customer satisfaction by providing a high-quality of service post-sale. In this context, repairable spare parts play a considerable role in balancing between service level and inventory value considering their relative cost compared to new buy parts. This article deals with forecasting the load of a repair centre in a closed-loop service parts supply chain. Since this supply chain is subject to variabilities and experts are modifying replenishment decisions, it is difficult to forecast this load and especially its peaks, this lack of visibility is creating difficulties to organise the repair centre. Thus, a methodology based on a hybrid machine learning method is proposed and then tested on real data from General Electric Healthcare. These tests showed a real improvement of the accuracy compared to simple machine learning methods or traditional forecasting methods. Journal: Int. J. of Logistics Systems and Management Pages: 131-158 Issue: 2 Volume: 45 Year: 2023 Keywords: forecast; hybrid machine learning; methodology; real data; spare parts; closed-loop supply chain. File-URL: http://www.inderscience.com/link.php?id=131425 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:2:p:131-158 Template-Type: ReDIF-Article 1.0 Author-Name: Letícia Reis Rodrigues Author-X-Name-First: Letícia Reis Author-X-Name-Last: Rodrigues Author-Name: Lucas Daniel Del Rosso Calache Author-X-Name-First: Lucas Daniel Del Rosso Author-X-Name-Last: Calache Author-Name: Lauro Osiro Author-X-Name-First: Lauro Author-X-Name-Last: Osiro Author-Name: Gilberto Miller Devós Ganga Author-X-Name-First: Gilberto Miller Devós Author-X-Name-Last: Ganga Title: A proposal of selection and analysis of criteria for sustainable supplier selection based on fuzzy DEMATEL Abstract: The proper sustainable criteria selection is an essential phase in the decision-making process for sustainable supplier selection. This study presents a decision-making model based on the application of the fuzzy DEMATEL technique to select sustainable criteria and evaluate the relationships among them for supplier selection problems. The criteria used were based on the triple bottom-line dimensions (economic, environmental, and social). The DEMATEL operations were performed using triangular fuzzy numbers to represent the linguistic terms of experts' judgments. The DEMATEL causal diagram shows the degree of importance and influence of each criterion, which is analysed by managers to select the most relevant ones. The proposed model was applied to a real case of a glass packaging company. The application results show a consensus among experts' perspectives and a clear understanding of sustainable criteria importance and their interrelationships, which can be used for the development of company sustainable strategies. Journal: Int. J. of Logistics Systems and Management Pages: 415-446 Issue: 4 Volume: 45 Year: 2023 Keywords: sustainable supplier selection; fuzzy set theory; FST; DEMATEL; multi-criteria decision making; MCDM. File-URL: http://www.inderscience.com/link.php?id=132983 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:4:p:415-446 Template-Type: ReDIF-Article 1.0 Author-Name: Shweta Author-X-Name-First: Author-X-Name-Last: Shweta Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: Qualitative exploration of the issues of Indian generic medicine supply chain using ISM-MICMAC Abstract: The current research scenario necessitates an integrated supply chain, as integration would result in improved transparency and flexibility and reduced waste. To develop an integrated supply chain, efforts are made to build a qualitative model based on an Indian generic medicine company's case study. Field survey, interview and brainstorming sessions identified 20 essential issues that function in integration. A structural model using the interpretive structural modelling (ISM) technique has been developed to show the interrelationships among the issues of generic pharmaceutical supply chain (GPSC). Results reveal that the total cost to the customer has been driven by time to fulfil customers' orders, vendor selection process and transportation cost. Warehouse design consumes maximum time, cost and resources driven primarily by quality control, monitoring and stock-keeping units. Journal: Int. J. of Logistics Systems and Management Pages: 291-316 Issue: 3 Volume: 45 Year: 2023 Keywords: pharmaceutical supply chain; PSC; interpretive structural modelling; ISM; qualitative analysis; healthcare; generic medicine. File-URL: http://www.inderscience.com/link.php?id=132984 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:291-316 Template-Type: ReDIF-Article 1.0 Author-Name: Adilson Carlos Yoshikuni Author-X-Name-First: Adilson Carlos Author-X-Name-Last: Yoshikuni Author-Name: Frederico Ribeiro Galvão Author-X-Name-First: Frederico Ribeiro Author-X-Name-Last: Galvão Title: The effects of information technology-enabled supply chain ambidexterity and their indirect effect on firm performance: an empirical study conducted under environmental turbulence Abstract: This study draws on the dynamic capabilities view and examines how information technology capabilities (ITC) enhances supply chain ambidexterity (SCA) and firm performance (FP); in which SCA is a combination of market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) geared at addressing changing customers' needs under environmental turbulence. This survey is based on data from 235 Brazilian companies and analysis done using partial least squares path modelling (PLS-PM). The results suggest that ITC influences SCA in sequence to enhance FP. SCA in environments with higher turbulence enables firms to gain superior performance. The survey shows that this is more prevalent in the manufacturing sector compared to other industries. Additionally, the findings demonstrated that the relationship between ITC and FP was mediated by SCA. The study is one of the first to develop a supply chain ambidexterity measure that integrated market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) enabled ITC. Journal: Int. J. of Logistics Systems and Management Pages: 369-396 Issue: 3 Volume: 45 Year: 2023 Keywords: information technology; IT; information technology capabilities; ITC; supply chain ambidexterity; SCA; operational adjustment; environmental turbulence; market sensitivity; firm performance; technological turbulence; market turbulence; competitor turbulence. File-URL: http://www.inderscience.com/link.php?id=132985 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:369-396 Template-Type: ReDIF-Article 1.0 Author-Name: Rubén Sainz-González Author-X-Name-First: Rubén Author-X-Name-Last: Sainz-González Author-Name: Valeriano Martínez-San Román Author-X-Name-First: Valeriano Martínez-San Author-X-Name-Last: Román Author-Name: Ingrid Mateo-Mantecón Author-X-Name-First: Ingrid Author-X-Name-Last: Mateo-Mantecón Title: Energy inefficiency in last mile logistics: a solution proposal in smart cities Abstract: The population increase in urban areas poses a great challenge for public authorities and it has intensified the search for innovative ways to handle urbanisation with minimal impact on the environment, citizen lifestyle, and governance. The smart city emerged as a solution to address the challenges posed by urbanisation and population growth and can be very useful to reduce energy inefficiency derived from last mile freight. The integration of information and communication technology (ICT) with city operations provides an opportunity to develop new and innovative solutions to meet urban challenges. In this context, the Spanish city of Santander developed the SmartSantander Project, funded by the European Commission, to improve energy efficiency and traffic regulation through the internet of things (IoT). This paper aims at improving last mile logistics by proposing alternatives that take advantage of smart city infrastructure to reduce the negative side effects of transport activities. Journal: Int. J. of Logistics Systems and Management Pages: 516-544 Issue: 4 Volume: 45 Year: 2023 Keywords: urban freight; last mile; logistics; urban consolidation centres; UCCs; superblocks; energy efficiency. File-URL: http://www.inderscience.com/link.php?id=132986 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:4:p:516-544 Template-Type: ReDIF-Article 1.0 Author-Name: Karim Soliman Author-X-Name-First: Karim Author-X-Name-Last: Soliman Title: Exploratory analysis of the viability of crowdsourced delivery in Egypt: developing a peer-to-peer platform Abstract: Peer-to-peer (P2P) crowdsourced delivery is considered one of the services offered through the crowdsourced delivery platform by pairing locals willing to dispatch small packages and parcels with dedicated couriers or commuters travelling the same way. The main aim of this research is to assess the viability of the crowdsourced delivery notion in Egypt through a P2P platform to link parcel owners and commuters who are willing to participate in such a process for an easy, smooth, quick, and ecological parcel delivery. This study is considered an exploratory analysis adopting a deductive approach and relying on quantitative research methodology based on a quantitative data collection method using a questionnaire. The respondents' reactions towards applying such innovation in Egypt were quite encouraging and promised great chances of success. This research adds to the concept of crowdsourcing delivery in Egypt, while critically exploring opportunities and challenges for all stakeholders involved in the P2P process. Journal: Int. J. of Logistics Systems and Management Pages: 447-470 Issue: 4 Volume: 45 Year: 2023 Keywords: peer-to-peer; P2P; crowdsourced delivery; commuters; last-mile delivery; Egypt. File-URL: http://www.inderscience.com/link.php?id=132987 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:4:p:447-470 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Said Obeidat Author-X-Name-First: Mohammed Said Author-X-Name-Last: Obeidat Author-Name: Nader A. Al Theeb Author-X-Name-First: Nader A. Al Author-X-Name-Last: Theeb Author-Name: Muna K. Beliah Author-X-Name-First: Muna K. Author-X-Name-Last: Beliah Title: Green supply chain management influences on the environmental and operational performance: a case study of the printing industry Abstract: Environmental awareness has recently increased dramatically worldwide. This results in adopting several environmental preservation methods, such as green supply chain management (GSCM) practices. This paper discusses the impacts of implementing GSCM practices on the environmental performance (EP) and operational performance (OP) considering a printing press industry in Jordan. Several GSCM practices were implemented at the printing press in Jordan. Collected data before and after implementing the GSCM practices were analysed statistically considering the multivariate analysis of variance (MANOVA) and the analysis of variance (ANOVA). Results showed that internal environmental management (IEM) has positively decreased waste generation and increased operational quality. However, IEM has negatively decreased the associated noise. This was quite the opposite of waste management and green procurement methods, which showed positive effects on decreasing noise. Waste management also participated in decreasing diesel consumption. In addition, green transportation has a negative effect on decreasing new order delays. Journal: Int. J. of Logistics Systems and Management Pages: 490-515 Issue: 4 Volume: 45 Year: 2023 Keywords: green supply chain management; GSCM; environmental performance; operational performance; printing industry; statistical analysis. File-URL: http://www.inderscience.com/link.php?id=132988 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:4:p:490-515 Template-Type: ReDIF-Article 1.0 Author-Name: Varinder M. Sharma Author-X-Name-First: Varinder M. Author-X-Name-Last: Sharma Author-Name: Dinesh S. Dave Author-X-Name-First: Dinesh S. Author-X-Name-Last: Dave Author-Name: Ajay K. Aggarwal Author-X-Name-First: Ajay K. Author-X-Name-Last: Aggarwal Author-Name: Kiran S. Sharma Author-X-Name-First: Kiran S. Author-X-Name-Last: Sharma Title: Mitigation of high consequence supply chain disruptive effects on stores and consumers Abstract: High consequence supply chain disruptions adversely affect stores and consumers. The stores inherit prolonged stockouts resulting in loss of consumer trust and commitment and their patronage leading to substantial losses. Consumers feel compelled to pay inflated prices at grey markets, patronise other outlets, or learn to live without them. There is a dearth of studies offering strategies to mitigate such disruptive effects quickly and cost-effectively thereby leaving a gap in supply chain strategies, which this study attempts to fill by offering a novel implementable model using the repurposed marketing strategies. The model suggests that the stores can mitigate such disruptive impacts by regaining consumer trust and commitment. This study contributes substantively to the supply chain strategies and builds a bridge for future development and testing applications of re-purposed strategies to specific types of high consequence disruptions. This study furnishes purposeful managerial implications and directions for future research. Journal: Int. J. of Logistics Systems and Management Pages: 397-413 Issue: 3 Volume: 45 Year: 2023 Keywords: supply chain; high consequence disruption; mitigation; marketing strategies; trust; commitment. File-URL: http://www.inderscience.com/link.php?id=132989 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:397-413 Template-Type: ReDIF-Article 1.0 Author-Name: M.S. Narassima Author-X-Name-First: M.S. Author-X-Name-Last: Narassima Author-Name: S.P. Anbuudayasankar Author-X-Name-First: S.P. Author-X-Name-Last: Anbuudayasankar Author-Name: D. Vineesh Author-X-Name-First: D. Author-X-Name-Last: Vineesh Title: Dairy industry in India - impact assessment, simulation and empirical study Abstract: Dairy manufacturing is one of the oldest sectors that involve the production of liquid milk, ghee, curd, butter, etc. The sector has witnessed transformation with ages by serving people with many dairy-based products as needed. Dairy farmers have been resilient in handling the pandemic with the support of the government through societies. Yet, risks could be handled better by redefining the traditional production process and attracting more farmers to join societies. The present study is structured into three phases. The first phase assesses the economic impact of the pandemic on the Indian dairy sector in terms of gross production value. The second phase involves a case study conducted on a dairy manufacturing unit using a simulation approach. The final phase involves an empirical study with dairy farmers to understand various aspects of dairy farming. Recommendations based on supply chain and implications have been provided to improve the sustainability of the sector. Journal: Int. J. of Logistics Systems and Management Pages: 330-350 Issue: 3 Volume: 45 Year: 2023 Keywords: dairy industry; simulation modelling; economic impact assessment; empirical study; supply chain management. File-URL: http://www.inderscience.com/link.php?id=132990 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:330-350 Template-Type: ReDIF-Article 1.0 Author-Name: Prosper Kweku Hoeyi Author-X-Name-First: Prosper Kweku Author-X-Name-Last: Hoeyi Title: Supply chain versus value chain: mapping the boundaries within a Hirschmanian framework Abstract: The many contributions made to supply chain theory are those related to the topography of supply chains. While this paper agrees that different supply chains may be shaped differently, it finds it difficult to accept the notion of a supply chain whose terminal point is not the customer. Therefore, this theoretical paper argues that a supply chain will remain largely vertical in shape even if aspects of it take different shapes. To bring clarity to this argument, the paper defers to Hirschmann's framework where the supply chain is discussed alongside the related concepts of economic sector, linkages, and industry. Doing so results in a conceptual framework that maps the place of the supply chain in the wider economy and proves that a supply chain is essentially vertical in shape and that a value chain is associated with backward linkage whereas a supply chain is associated with forward linkage. Journal: Int. J. of Logistics Systems and Management Pages: 471-489 Issue: 4 Volume: 45 Year: 2023 Keywords: diversification; industry; integration; linkages; sector; synergy. File-URL: http://www.inderscience.com/link.php?id=132991 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:4:p:471-489 Template-Type: ReDIF-Article 1.0 Author-Name: Mark Andreevich Gorskiy Author-X-Name-First: Mark Andreevich Author-X-Name-Last: Gorskiy Title: Enterprise production activity modelling with performance and risk criteria of working capital structure Abstract: The objective of the study is to develop and adapt mathematical models and methods for optimising its production and financial sectors' parameters for a production company in the construction industry, with the efficiency and risk criteria and restrictions on production, technological, financial and resource potential. The article presents the rationale for the proposed approach, the formulation and mathematical models of choosing the optimal options for the production programs of the enterprise and their financing; numerical algorithms for solving the problems in continuous and integer versions, including new methods for solving nonlinear discrete NP-complete problems; implementation scenarios, implementation options and conclusions based on empirical calculations using the developed models and methods. Journal: Int. J. of Logistics Systems and Management Pages: 351-368 Issue: 3 Volume: 45 Year: 2023 Keywords: production enterprise; working capital; cost efficiency; capital structure risk; capital leverage; optimal capital structure; linear programming; nonlinear programming; convex programming. File-URL: http://www.inderscience.com/link.php?id=132992 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:351-368 Template-Type: ReDIF-Article 1.0 Author-Name: Nayara da Rocha Grison Author-X-Name-First: Nayara da Rocha Author-X-Name-Last: Grison 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: Port value analysis from the importers' point of view: a comparative study between two container ports located in South Brazil Abstract: This study aimed to analyse the competitiveness of two container ports located in the South of Brazil for the imports of containerised cargo to the Serra Gaucha region. For this purpose, the comparative evaluations of Tecon Rio Grande and Portonave conducted by importers were assessed and the most important attributes were identified through multiple regression analysis. The two ports were then compared on the statistically significant attributes (port tariffs, shipping calls and port infrastructure) based on the available evidence on their websites, government agencies and shipowners. In general terms, the results indicated similarity between the two ports. Port tariffs were found to be a critical issue for Tecon Rio Grande, since this was the only factor in which this terminal was considered worse or much worse than Portonave. On the other hand, the commercial performance in the studied region is a point to be considered by Portonave. Journal: Int. J. of Logistics Systems and Management Pages: 269-290 Issue: 3 Volume: 45 Year: 2023 Keywords: port value; attributes; perception of importers; South Brazil. File-URL: http://www.inderscience.com/link.php?id=132997 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:269-290 Template-Type: ReDIF-Article 1.0 Author-Name: R.P. Tripathi Author-X-Name-First: R.P. Author-X-Name-Last: Tripathi Author-Name: Manjit Kaur Author-X-Name-First: Manjit Author-X-Name-Last: Kaur Title: Optimal ordering policies in economic production quantity model with exponential time - dependent demand and diminishing release strategy Abstract: Demand for any product at a given price is its quantity, which will be bought or sold per unit of time at that price. The demand of any type of item depends on production produced by manufacturer. The food preparation and cooking in restaurants and hotels depend on customer's demand. In this study, an EPQ model for exponential demand is established. The production rate is considered to be greater than demand rate. The mathematical model is offered to locate the best possible lot size, cycle time and total cost. It is also measured that the production rate is larger to demand rate. The model is certified using numerical example. The sensitivity analysis is conversed for variation of a number of parameters. It is also shown that the total cost is convex with respect to time. Mathematica 7.0 software is used for finding the numerical outcomes. The paper categorises research leanings and comprises numerous submissions for future research directions. Journal: Int. J. of Logistics Systems and Management Pages: 317-329 Issue: 3 Volume: 45 Year: 2023 Keywords: production; inflation induced demand; reduction; optimal; quantity. File-URL: http://www.inderscience.com/link.php?id=133004 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:3:p:317-329 Template-Type: ReDIF-Article 1.0 Author-Name: G.G. Torres-Hernandez Author-X-Name-First: G.G. Author-X-Name-Last: Torres-Hernandez Author-Name: R.G. García-Cáceres Author-X-Name-First: R.G. Author-X-Name-Last: García-Cáceres Author-Name: J.W. Escobar-Velásquez Author-X-Name-First: J.W. Author-X-Name-Last: Escobar-Velásquez Title: Reference framework for material handling equipment selection in distribution centres Abstract: The current paper proposes a methodology intended to facilitate decision-making in material handling equipment selection (MHES) contexts in which distribution centre (DC) design or redesign is needed. A list of 119 decision criteria and 134 equipment alternatives is presented, all of them obtained from a survey on the material handling systems market and a literature review. The focus of the present work is the introduction of a MHES methodology comprising 12 steps and a series of components that provide a solid reference when it comes to facilitating the decision-making process. A study case is developed in a well-known Colombian 3PL (third-party logistics) firm. In it, seven usually unheeded equipment alternatives were qualified by means of 18 criteria. As one of the few existing public environment decision techniques, SMAA-O was selected as the current multi criteria decision-making (MCDM) procedure due to its capability to handle different types of information simultaneously. Journal: Int. J. of Logistics Systems and Management Pages: 356-379 Issue: 3 Volume: 46 Year: 2023 Keywords: distribution centre; DC; design; material handling equipment selection; MHES; multiple criteria decisions making; MCDM; SMAA-O; storage racks; supply chain. File-URL: http://www.inderscience.com/link.php?id=134796 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:3:p:356-379 Template-Type: ReDIF-Article 1.0 Author-Name: Sahar Elbarky Author-X-Name-First: Sahar Author-X-Name-Last: Elbarky Author-Name: May Salah Author-X-Name-First: May Author-X-Name-Last: Salah Title: Reducing the carbon footprint of road freight transport for Egyptian companies: the application of the analytic hierarchic process Abstract: Transportation is a significant source of carbon emissions and other toxic discharges. This study investigates and ascertains the most appropriate strategies to minimise carbon emissions caused by the transportation sector in Egypt. The analytic hierarchy process (AHP) was applied as a multiple-criteria decision-making tool. A survey was developed to collect information on a pair-wise comparison of predefined reduction criteria for carbon emissions and determine viable alternatives. A case study was also conducted to validate the findings obtained through AHP. The results of the applied methodology indicated that transportation management recorded the highest preference score of 40%, followed by the logistics system design at 28%, model choice at 14%, vehicle technology at 9% and the use of alternative fuel at 6%. A massive reduction of the carbon footprint was registered in the case study of implementing the best-selected strategy. The research assists logistics practitioners in enhancing their environmental performance. Journal: Int. J. of Logistics Systems and Management Pages: 285-311 Issue: 3 Volume: 46 Year: 2023 Keywords: carbon footprint; CO2 emission mitigation strategies; climate change; analytic hierarchy process; AHP; green transportation. File-URL: http://www.inderscience.com/link.php?id=134797 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:3:p:285-311 Template-Type: ReDIF-Article 1.0 Author-Name: Zikai Zhou Author-X-Name-First: Zikai Author-X-Name-Last: Zhou Author-Name: Seyedmohsen Hosseini Author-X-Name-First: Seyedmohsen Author-X-Name-Last: Hosseini Title: Evaluating supply chain resilience: a resilience capacity perspective Abstract: Supply chain resilience (SCR) is the ability of a supply chain to maintain, resume, and recover operations in the aftermath of a severe disruptive event, which is one of the key factors within the field of supply chain management. This study reviews and summarises the existing literature on SCR and proposes a conceptual model for the evaluation of SCR from a resilience capacity perspective. Measurements for three resilience capacities were developed and data were collected from supply chain managers across different industries in the USA to evaluate the proposed research model. This research provides a new framework for the evaluation of SCR in terms of three lines of defence from the empirical perspectives and provides the companies with a useful and substantial tool in dealing with potential threats or disruptions from those supply chain risks. Journal: Int. J. of Logistics Systems and Management Pages: 333-355 Issue: 3 Volume: 46 Year: 2023 Keywords: supply chain resilience; SCR; supply chain risks; resilience capacities; risk management performance; absorptive capacity; adaptive capacity; restorative capacity. File-URL: http://www.inderscience.com/link.php?id=134798 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:3:p:333-355 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: Jitender Madaan Author-X-Name-First: Jitender Author-X-Name-Last: Madaan Author-Name: Ashish Dwivedi Author-X-Name-First: Ashish Author-X-Name-Last: Dwivedi Title: Mode choice problem in the context of freight transportation: a systematic review and bibliometric analysis Abstract: The planning for freight transportation comprises several activities that facilitate the transportation process but cause complexities. Mode choice problem (MCP) is one of the crucial activities affecting the performance of the freight transportation. A strong consideration for the decision process in mode choice/selection issues might reduce the complexities of managing transportation network in case of disruptions such as COVID-19. Therefore, it becomes essential to understand the complexities of MCP in facilitating the transportation system and prepare lessons for future disruptions. A content and bibliometric analysis is presented on previous studies specific to MCPs in context of freight transportation. The contribution of this study is threefold. Firstly, bibliometric analysis is presented to highlight the research trends. Secondly, the classification of focus research areas are presented. Lastly, the identification of challenges and issues are projected for future research domains. Journal: Int. J. of Logistics Systems and Management Pages: 95-120 Issue: 1 Volume: 46 Year: 2023 Keywords: bibliometric analysis; content analysis; freight transportation; intermodal transportation; mode choice. File-URL: http://www.inderscience.com/link.php?id=133519 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:95-120 Template-Type: ReDIF-Article 1.0 Author-Name: Mauro Vivaldini Author-X-Name-First: Mauro Author-X-Name-Last: Vivaldini Title: Logistical outsourcing in a virtual digital world: the dilemma for logistics service providers Abstract: This paper contextualises the impact of the transformations, arising from an increasingly virtual digital world, on logistics service providers (LSPs). The influence of changes driving logistical services to ever-increasing immediacy is also examined. As this paper addresses a still recent topic in the literature, with a restricted and limited research focus (logistical immediacy), this paper adopts a systematic literature review as the research method. A proposition concerning the dilemma faced by LSPs is constructed by highlighting aspects related to opportunities and implications, questioning the current model of logistical services adopted by companies. In addition to this contribution, the study presents several insights capable of leading to new ideas and new research avenues. Journal: Int. J. of Logistics Systems and Management Pages: 312-332 Issue: 3 Volume: 46 Year: 2023 Keywords: digital technology; e-commerce; logistic platforms; logistic service; logistical immediacy; logistics service providers; LSPs. File-URL: http://www.inderscience.com/link.php?id=134799 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:3:p:312-332 Template-Type: ReDIF-Article 1.0 Author-Name: T.D. Tobares Author-X-Name-First: T.D. Author-X-Name-Last: Tobares Author-Name: M.M. Mieras Author-X-Name-First: M.M. Author-X-Name-Last: Mieras Author-Name: R.R. Palma Author-X-Name-First: R.R. Author-X-Name-Last: Palma Author-Name: F.O. Sanchez-Varretti Author-X-Name-First: F.O. Author-X-Name-Last: Sanchez-Varretti Title: Theoretical relationship between the cluster size of orders in the materials requirement planning Abstract: In times of globalisation and competitive markets, it is crucial for organisations to focus their activities on processes planned to promote efficiency. Material requirements planning addresses the need to consider various alternative techniques of organisation in order to acquire the capacity for constant adaptation to demand. The objective of our work is to develop a model that allows us to determine the optimal lot sizing with lower costs by using a mathematical model applicable to all the options of material requirement. The study focuses, analytically and graphically, on the behaviour of the system when clusters are carried out in a certain set of orders. It is intended that organisations take advantage of the generation, integration and analysis of data throughout the production process for real-time decision making. Journal: Int. J. of Logistics Systems and Management Pages: 27-46 Issue: 1 Volume: 46 Year: 2023 Keywords: lot sizing; materials; clusters; optimisation. File-URL: http://www.inderscience.com/link.php?id=133520 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:27-46 Template-Type: ReDIF-Article 1.0 Author-Name: Duy Nguyen Duc Author-X-Name-First: Duy Nguyen Author-X-Name-Last: Duc Author-Name: Narameth Nananukul Author-X-Name-First: Narameth Author-X-Name-Last: Nananukul Title: An integrated methodology based on machine-learning algorithms for biomass supply chain optimisation Abstract: This paper presents an integrated methodology for biomass supply chain planning, using a stochastic optimisation model and machine-learning algorithms. A methodology that integrates machine-learning algorithms with the optimisation process was proposed in order to generate solutions for large-scale supply chain optimisation problems. Models based on artificial neural network (ANN) and Bayesian network were developed by using the knowledge from previously-solved problems, to define good starting points for the search for solutions in the optimisation process. With this novel approach, the search space can be reduced and optimal solutions found with a shorter runtime. The applicability of the proposed approach was evaluated with a case study relating to biomass supply chain planning in the Central Vietnam region. The results from the proposed framework reveal that the optimal biomass plan for biomass supply chain can be determined with accuracy up to 96%, with a decrease in runtime by 37.19% on average. Journal: Int. J. of Logistics Systems and Management Pages: 47-75 Issue: 1 Volume: 46 Year: 2023 Keywords: machine learning; optimisation; relaxation induced neighbourhood search; biomass supply chain planning; artificial neural network; Naïve Bayes; Bayesian network. File-URL: http://www.inderscience.com/link.php?id=133521 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:47-75 Template-Type: ReDIF-Article 1.0 Author-Name: Bruno Machado Author-X-Name-First: Bruno Author-X-Name-Last: Machado Author-Name: Carina Pimentel Author-X-Name-First: Carina Author-X-Name-Last: Pimentel Author-Name: Sara Costa Author-X-Name-First: Sara Author-X-Name-Last: Costa Title: Framework for warehouse receiving process design and implementation - a case study Abstract: The warehouse management is one of the main tasks to be performed in an industrial company since it guarantees the efficiency of the processes linked to the warehouse, satisfying the needs of the downstream areas within the company. The receiving process is crucial to the management of a warehouse, and there is a lack of literature since few articles have this topic within their scope. The purpose of this paper is to present a conceptual framework and provide practitioners and project managers with a step-by-step method when designing a warehouse receiving process. Furthermore, a case study is also presented in which the main objective is the implementation of the framework and tests its validity. The main contribution of this paper is the conceptual framework, as a guideline for warehouse receiving process design and the detailed description of a successful implementation of the framework in a real case study. Journal: Int. J. of Logistics Systems and Management Pages: 380-404 Issue: 3 Volume: 46 Year: 2023 Keywords: warehouse management; receiving process design; framework; case study; discrete-event simulation. File-URL: http://www.inderscience.com/link.php?id=134804 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:3:p:380-404 Template-Type: ReDIF-Article 1.0 Author-Name: S.H.T. Kumudumali Author-X-Name-First: S.H.T. Author-X-Name-Last: Kumudumali Author-Name: Ravindra Hewa Kuruppuge Author-X-Name-First: Ravindra Hewa Author-X-Name-Last: Kuruppuge Author-Name: Hotniar Siringoringo Author-X-Name-First: Hotniar Author-X-Name-Last: Siringoringo Title: Green supply chain management and operational performance: a study of controlled environmental agriculture in Sri Lanka Abstract: The present study aims to evaluate the influence of green supply chain management (GSCM) practices on operational performance (OPP) in a control environmental agriculture (CEA). A mixed methodology was used for data collection. The inductive approach was based on data collected using the five most successful respondents in CEA. The deductive approach was based on the data collected through 275 farmers who engaged in CEA in Badulla District in Sri Lanka. The data was analysed using the content analysis method and the structural equation modelling (SEM). Based on content analysis, experience, family support, knowledge and knowledge sharing, and green practices were the most frequently mentioned by farmers as their indicators of operational performance. Results showed the influence of the GSCM practices (GSCMPs) leads to increases the cost savings, improve the quality of products, improve delivery time, and improve the adaptability of change from one product to another. Journal: Int. J. of Logistics Systems and Management Pages: 50-66 Issue: 1 Volume: 45 Year: 2023 Keywords: operational performance; green supply chain management; GSCM; green purchasing; eco-design; green manufacturing; knowledge; experience; Sri Lanka. File-URL: http://www.inderscience.com/link.php?id=130967 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:50-66 Template-Type: ReDIF-Article 1.0 Author-Name: Tarsila Rani Soares de Vasconcelos Author-X-Name-First: Tarsila Rani Soares de Author-X-Name-Last: Vasconcelos Author-Name: Marcele Elisa Fontana Author-X-Name-First: Marcele Elisa Author-X-Name-Last: Fontana Title: Logistics service provider performance evaluation based on different perceptions in the reverse supply chain Abstract: This work developed a new methodology to measure the performance of reverse logistics service providers (RLSPs), considering different points of view in the reverse supply chain. This proposal is an adaptation of SERVQUAL in the outsourced reverse logistics context, adding fuzzy logic, through the fuzzy reverse logistics index (FRLI) and fuzzy performance-importance index (FPII), which was named here as fuzzy SERVQUAL-RL. This approach considers more than one agent in the reverse supply chain to assess the outsourced company. A case study was conducted to demonstrate the applicability of the proposed methodology. This methodology is able to identify critical attributes, i.e., those that need urgent improvement in order to increase customer satisfaction. Thus, the necessary investments are justified, consolidating and strengthening partnerships and, consequently, generating long-term synergy gains in the supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 67-87 Issue: 1 Volume: 45 Year: 2023 Keywords: third party logistics provider; service performance; perception; fuzzy SERVQUAL-RL. File-URL: http://www.inderscience.com/link.php?id=130968 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:67-87 Template-Type: ReDIF-Article 1.0 Author-Name: Birol Elevli Author-X-Name-First: Birol Author-X-Name-Last: Elevli Author-Name: Ali Dinler Author-X-Name-First: Ali Author-X-Name-Last: Dinler Title: Multi-criteria approach for inventory classification and effective warehouse management Abstract: Organisations classically employ the ABC analysis to have efficient control on the inventory items and for effective management of warehouses. This method usually considers sales values and usage volume of inventory items. In our study, in order to take into account more than one criterion, the PROMETHEE method, which is one of the pairwise comparisons MCDM methods, was used. For the inventory classification, five criteria have been identified that affect the storage activities for all products in order to determine the importance of the product types and product models which are produced by the company. Products were ranked according to their priorities using the PROMETHEE method. The results of the classification were used to assign the shelves to products in the storage. In this process, the top products are assigned to the closer places to minimise the transport distance. As a result of the inventory classification and storage layout plan, the usage rate of storage area has been increased and a layout plan which minimises transportation distances has been established. In this way, order picking and order shipment processes have been accelerated, and a more systematic approach has been created for warehouse management of the company. Journal: Int. J. of Logistics Systems and Management Pages: 31-49 Issue: 1 Volume: 45 Year: 2023 Keywords: multiple criteria analysis; PROMETHEE/GAIA; inventory classification; warehouse management. File-URL: http://www.inderscience.com/link.php?id=130969 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:31-49 Template-Type: ReDIF-Article 1.0 Author-Name: Guilherme Dayrell Mendonça Author-X-Name-First: Guilherme Dayrell Author-X-Name-Last: Mendonça Author-Name: Orlando Fontes Lima Junior Author-X-Name-First: Orlando Fontes Lima Author-X-Name-Last: Junior Title: Artificial intelligence applied to supply chain operations management: a systematic literature review Abstract: Artificial intelligence (AI) has been a key driver to reduce operational uncertainty and improve performance in supply chain management. Due to the advent of new data gathering technologies (IoT) and greater storage capacity, big data analytics (BDA) is rapidly growing as one of the main fields within AI research. We examined a representative sample of AI works applied to SCM from 2000 to 2020 and analysed them considering the main areas of the SCOR model framework of operations. The systematic literature review was based on a meta-synthesis methodology. The main research questions addressed were: 1) What are the main research methodologies used in AI SCM literature? 2) In what areas of SCM operations is AI (including BDA) mostly applied? 3) What are the most used AI models? The discussion addressing these three questions reveals a number of research gaps, which leads to future research directions. Journal: Int. J. of Logistics Systems and Management Pages: 1-30 Issue: 1 Volume: 45 Year: 2023 Keywords: artificial intelligence; supply chain management; logistics; data mining; big data analytics; BDA; machine learning; supply chain operations reference; SCOR model. File-URL: http://www.inderscience.com/link.php?id=130970 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:1-30 Template-Type: ReDIF-Article 1.0 Author-Name: Bruno da Costa Ferreira Gameiro Author-X-Name-First: Bruno da Costa Ferreira Author-X-Name-Last: Gameiro Author-Name: Eduardo Guilherme Satolo Author-X-Name-First: Eduardo Guilherme Author-X-Name-Last: Satolo Title: Industry 4.0 technologies applied to supply chain: a systematic literature review Abstract: The transformations and changes in society's habits have resulted in advances that accelerate the speed of information, making the future unpredictable and hindering planning for companies. To support the flexibility and speed demanded by the market, technologies emerge in the context of Industry 4.0 (I4) and consequently, in Supply Chain 4.0 (SC4). Considering the literature on SC4, gaps can be found as no current research exhibits the representativeness of each technology or that has listed the I4 technologies applied in the supply chain (SC). Therefore, the goal of this study is to map the state of the art of I4 technologies applied to SC, using as methodology a systematic literature review (SLR). As a result, this article elaborates on the state of the art of SC4, lists and discusses the technologies covered, shows which countries are studying this topic, and presents how these technologies are being applied to SC. Journal: Int. J. of Logistics Systems and Management Pages: 1-26 Issue: 1 Volume: 46 Year: 2023 Keywords: big data; CPS; IOT; smart factory; supply chain management; SCM; systematic literature review; SLR; technologies. File-URL: http://www.inderscience.com/link.php?id=133531 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Mukesh Kumar Author-X-Name-First: Mukesh Author-X-Name-Last: Kumar Author-Name: Vikas Kumar Choubey Author-X-Name-First: Vikas Kumar Author-X-Name-Last: Choubey Title: Modelling the interaction among the key performance indicators of sustainable supply chain from the perspective of perishable food Abstract: Sustainability of the supply chain is a research area of major concern in recent days. Due to rapid population growth globally, demand for food and nutrition is increasing day by day. So, sustainability in the food supply chain is essentially required to meet the ever-increasing demand. In this paper, 30 sustainable indicators have been identified from various literatures in the perishable food supply chain and sorted with the help of relevant field and academic experts. An interpretive structural modelling (ISM) approach has been applied to find out the interrelationship among the indicators. The level of importance of all the indicators have been analysed by using ISM and further utilised to develop models for assessing sustainability in the supply chain. The results of this study may be used as input to AHP, TOPSIS and other MCDM approach. MICMAC analysis has been applied to classify the sustainable indicators into four factors by using their dependence and driving power. Journal: Int. J. of Logistics Systems and Management Pages: 108-130 Issue: 1 Volume: 45 Year: 2023 Keywords: sustainable supply chain; MICMAC analysis; perishable products; interpretive structural modelling; ISM. File-URL: http://www.inderscience.com/link.php?id=130971 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:108-130 Template-Type: ReDIF-Article 1.0 Author-Name: Aijun Liu Author-X-Name-First: Aijun Author-X-Name-Last: Liu Author-Name: Maurice Osewe Author-X-Name-First: Maurice Author-X-Name-Last: Osewe Author-Name: Yangyan Shi Author-X-Name-First: Yangyan Author-X-Name-Last: Shi Title: Green logistics in China: a systematic literature review Abstract: Despite the increasing impact of logistics on environmental issues, the comprehensive and updated assessment of green logistics' existing literature is lacking. This review aims to bridge this gap by presenting a systematic literature review of green logistics in China. The authors applied the systematic literature review to collect green logistics publications from 2010 to 2020. The review provides insights into the essential dimensions of green logistics in transport and logistics service firms using an analytical approach based on green transportation, green warehousing, and green packaging. Despite the number of published articles having increased significantly since 2016, some areas remain under-researched such as the green logistics cycle model, topographical transportation and technical gaps, and intelligent green logistics. Numerous research gaps have been identified in the subject areas, and a set of propositions have been suggested to form the future research agenda. Journal: Int. J. of Logistics Systems and Management Pages: 88-107 Issue: 1 Volume: 45 Year: 2023 Keywords: green logistics; sustainable logistics; literature review; a green warehouse; green packaging; green transportation; China. File-URL: http://www.inderscience.com/link.php?id=130972 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:88-107 Template-Type: ReDIF-Article 1.0 Author-Name: Yossi Hadad Author-X-Name-First: Yossi Author-X-Name-Last: Hadad Author-Name: Michael Z. Hanani Author-X-Name-First: Michael Z. Author-X-Name-Last: Hanani Title: Determining workers efficiency using work sampling and time standards Abstract: In the competitive world where most logistics organisations and other service providers and manufacturing companies are operating, it is of great importance to have reliable and readily available information. One crucial piece of information is standard time, which is required to perform a task or to manufacture a product. The availability of standard time enables one to determine the number of workers, develop wage incentive methods to improve efficiency, employ machines effectively in service or production processes, and generally improve control of the costs associated with the processes. This paper shows how standard times can be determined from the results of work sampling in a variety of job types, using unique methods that we have developed. We describe here how to include discontinuity, employee efficiency and machine utility in the determination of standard times, and how to calculate cost per unit of service or production. Journal: Int. J. of Logistics Systems and Management Pages: 76-94 Issue: 1 Volume: 46 Year: 2023 Keywords: industrial engineering; work sampling; standard time; analytic hierarchy process; AHP; efficiency; allowance; logistics systems. File-URL: http://www.inderscience.com/link.php?id=133543 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:76-94 Template-Type: ReDIF-Article 1.0 Author-Name: Hamid Babaei Meybodi Author-X-Name-First: Hamid Babaei Author-X-Name-Last: Meybodi Author-Name: Zahra Delshad Author-X-Name-First: Zahra Author-X-Name-Last: Delshad Title: Evaluating and prioritising the factors affecting green supply chain management by using analytic hierarchy process and fuzzy logic Abstract: There is always a demand for more effective supply chain management methods capable of addressing the needs of today's businesses. In recent decades, green supply chain management has found extensive use as a central management approach in various industries. This paper provides a green supply chain management analysis approach for the polymer industry based on the analytic hierarchy process (AHP) and fuzzy logic (FL), which can be used to study suppliers, customers, logistics providers, and manufacturers of this industry under the conditions of environmental regulations. First, the AHP method was used to rank the criteria based on pairwise comparisons made by decision-makers and the weights computed accordingly, and then the fuzzy logic was used to address the uncertainties in green supply chain management. According to the results of the analysis of the importance and efficiency of the criteria, suppliers, customers, logistics service providers, manufacturers, (respectively) are sensitive to environmental issues. Journal: Int. J. of Logistics Systems and Management Pages: 121-142 Issue: 1 Volume: 46 Year: 2023 Keywords: green supply chain management; GSCM; multi-criteria decision making; fuzzy logic. File-URL: http://www.inderscience.com/link.php?id=133544 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:1:p:121-142 Template-Type: ReDIF-Article 1.0 Author-Name: Rafael Guillermo García-Cáceres Author-X-Name-First: Rafael Guillermo Author-X-Name-Last: García-Cáceres Author-Name: Sergio Alvarez-Velasco Author-X-Name-First: Sergio Author-X-Name-Last: Alvarez-Velasco Author-Name: John Wilmer Escobar Velásquez Author-X-Name-First: John Wilmer Escobar Author-X-Name-Last: Velásquez Title: Tactical and strategic redesign of supply chains affected by delocalisation Abstract: The present research work addresses the problem of modelling and redesigning a supply chain. With that general purpose, a model is developed to minimise logistics costs, including specific considerations about provisioning, inventories, products, location, selection of supply channels, assignments between distribution centres and demand zones, and transfers between distribution centres. The solution procedure is based on the design of a linear-programming-like MIP model for large optimisation scales. The model is validated with real data from a multinational beauty product company. Simulated data are used for larger instances. The performance of the solution procedure of the model enables optimal solutions to be obtained in practical instances of the problem at excellent CPU times. Journal: Int. J. of Logistics Systems and Management Pages: 553-575 Issue: 4 Volume: 44 Year: 2023 Keywords: offshoring; supply chain redesign; MIP; strategic and tactical planning; delocalisation. File-URL: http://www.inderscience.com/link.php?id=130780 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:4:p:553-575 Template-Type: ReDIF-Article 1.0 Author-Name: Michael Madas Author-X-Name-First: Michael Author-X-Name-Last: Madas Author-Name: Yiannis Nikolaidis Author-X-Name-First: Yiannis Author-X-Name-Last: Nikolaidis Title: Exploring the relationship between quality management and risks in closed-loop supply chains Abstract: Supply chain risks are highly unpredictable and may affect the entire spectrum of supply chain actors, with direct implications on cost, product/process quality, lead time, company's image and profitability. Existing literature in supply chain risk management (SCRM) has not sufficiently addressed risk management in the context of closed-loop supply chains (CLSC) and has not thoroughly investigated potential linkages between risks and quality management (QM). In our paper, we develop a typology of CLSC risks and explore the potential contribution of QM systems, principles and practices in dealing with CLSC risks. Various QM tools can be employed to reduce the occurrence or impact of risks associated with reconditioned or returned products. Unfortunately, certain important risk categories are difficult to mitigate by means of QM. Indicative examples are the consolidation of return flows to remanufacturers, inefficient marketing techniques for recovered products, as well as uncertainties related to quantity and timing of returns. Journal: Int. J. of Logistics Systems and Management Pages: 431-457 Issue: 4 Volume: 44 Year: 2023 Keywords: closed-loop supply chain; CLSC; reverse logistics; risk; quality management. File-URL: http://www.inderscience.com/link.php?id=130781 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:4:p:431-457 Template-Type: ReDIF-Article 1.0 Author-Name: Henry Adobor Author-X-Name-First: Henry Author-X-Name-Last: Adobor Author-Name: Iddrisu Awudu Author-X-Name-First: Iddrisu Author-X-Name-Last: Awudu Author-Name: Mario Norbis Author-X-Name-First: Mario Author-X-Name-Last: Norbis Title: Integrating artificial intelligence into supply chain management: promise, challenges and guidelines Abstract: This paper argues that AI can improve supply chain efficiency, and transform supply chain management by providing tools for managing the functions across all the stages of a supply chain. Despite the promise, organisational and managerial challenges may limit AI and SCM integration. We explore the challenges of AI use in SCM and offer some guidelines for its successful integration. We propose that organisations need to make an economic case for AI adoption, develop a plan for AI implementation, including developing core capabilities and system trust for coordinating behaviour across the stages of the supply chain. In addition, organisations need to manage the nexus of people and technology to reduce human-machine conflict, as the goal is for AI to augment human capabilities, not to replace them. We provide the implications of the paper for theory and practice. Journal: Int. J. of Logistics Systems and Management Pages: 458-488 Issue: 4 Volume: 44 Year: 2023 Keywords: artificial intelligence; supply chain management; stages of supply chains; emerging technology; promise; framing; challenges; guidelines. File-URL: http://www.inderscience.com/link.php?id=130782 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:4:p:458-488 Template-Type: ReDIF-Article 1.0 Author-Name: Massimo Bertolini Author-X-Name-First: Massimo Author-X-Name-Last: Bertolini Author-Name: Mattia Neroni Author-X-Name-First: Mattia Author-X-Name-Last: Neroni Author-Name: Dieter Uckelmann Author-X-Name-First: Dieter Author-X-Name-Last: Uckelmann Title: A survey of literature on automated storage and retrieval systems from 2009 to 2019 Abstract: This paper provides a literature review on automated storage and retrieval systems based on the Scopus database. The last comprehensive literature review that analyses the subject in its entirety dates back to 2009 by Roodbergen and Vis. Since then, the scientific community has provided many new efficient solutions, most of which are collected in Scopus. All these new published solutions need to be classified and summarised; thus, for this paper, more than one thousand scientific publications were analysed in order to classify the proposed solutions, deliver new academic insights to the field, and provide clear guidelines for researchers and practitioners. Journal: Int. J. of Logistics Systems and Management Pages: 514-552 Issue: 4 Volume: 44 Year: 2023 Keywords: logistics; automated storage; warehousing system; warehouse design; control. File-URL: http://www.inderscience.com/link.php?id=130783 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:4:p:514-552 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin Kumar Verma Author-X-Name-First: Sachin Kumar Author-X-Name-Last: Verma Author-Name: Mohd. Rizwanullah Author-X-Name-First: Mohd. Author-X-Name-Last: Rizwanullah Author-Name: Chaman Singh Author-X-Name-First: Chaman Author-X-Name-Last: Singh Title: RETRACTED ARTICLE Optimal ordering policy for deteriorating items with stock dependent demand, partial backlogging and trade credit period Abstract: It is the policy of Inderscience Publishers to retract from publication any paper if, subsequent to publication, it becomes a matter of dispute regarding intellectual property, publishing ethics or legal issues. Each case is judged according to individual circumstances. In this case, the authors' (Sachin Kumar Verma, Mohd. Rizwanullah and Charman Singh) work, 'Optimal ordering policy for deteriorating items with stock dependent demand, partial backlogging and trade credit period', published in IJLSM V40 N1 2021, has substantial similarities to a paper with the same title, by the same authors, published in IJLSM V44 N4 2023. This has occurred as a result of an inadvertent error by the first author. Consequently the second paper has been retracted. Journal: Int. J. of Logistics Systems and Management Pages: 489-513 Issue: 4 Volume: 44 Year: 2023 Keywords: stock dependent demand pattern; partial backlogging; constant holding cost; trade credit; Weibull deterioration; replenishment rate; permissible delay period. File-URL: http://www.inderscience.com/link.php?id=130785 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:4:p:489-513 Template-Type: ReDIF-Article 1.0 Author-Name: Lorenzo Bruno Prataviera Author-X-Name-First: Lorenzo Bruno Author-X-Name-Last: Prataviera Author-Name: Marco Melacini Author-X-Name-First: Marco Author-X-Name-Last: Melacini Title: Designing global trade and logistics channels: a focus on the Chinese food and beverage market Abstract: Internationalisation ventures entail a close relationship between the trade channel (TC) and the logistics channel (LC), but few studies address simultaneously TC and LC design. This study investigates how TC can influence LC design and explores the role played by related contextual factors. Abductive reasoning is adopted within middle-range purposes, elaborating previous theory with multiple case studies considering European food manufacturers tackling a specific empirical context (i.e., the Chinese food and beverage market). The study lends contingency theory elements and leverages them to develop nine propositions that can open to further inquiries about the influence of TC on LC design and the impact of the identified contextual factors. Moreover, it proposes the behavioural theory as a theoretical lens to approach LC (and not only TC) design. Lastly, it provides practitioners with insights that can be useful to improve their understanding of the Chinese food and beverage market. Journal: Int. J. of Logistics Systems and Management Pages: 198-225 Issue: 2 Volume: 44 Year: 2023 Keywords: global distribution channel design; logistics channel; trade channel; China; food and beverage market; guanxi; multiple case studies. File-URL: http://www.inderscience.com/link.php?id=129001 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:198-225 Template-Type: ReDIF-Article 1.0 Author-Name: Yossi Hadad Author-X-Name-First: Yossi Author-X-Name-Last: Hadad Author-Name: Michael Z. Hanani Author-X-Name-First: Michael Z. Author-X-Name-Last: Hanani Title: How to correctly perform a work sampling Abstract: The use of <i>work sampling</i> as an efficient tool for determining values of parameters such as the rate of employment or idle time of employees, machine utilisation, the rate of allowances to be allocated to employees, and even the setting of standard time, has been growing in recent years. The reason is the advantages that this method has over other methods. This paper describes the 'correct' way to perform a work sampling: the steps required, methods for identifying and removing irregular (out-of-control) samples, and three methods for determining how many observations must be made to determine the values of the various parameters. These are all essential to a 'correct' execution of the work sampling technique. We present three methods for deciding the required number of observations to determine the values of the various parameters (two of them based on the Pareto principle, taking into account the cumulative weight of the various activities performed, and a third intended to ensure compliance with the required inaccuracy of the entire sample). Journal: Int. J. of Logistics Systems and Management Pages: 179-197 Issue: 2 Volume: 44 Year: 2023 Keywords: industrial engineering; work sampling; Pareto principle; required sample size; efficiency; logistics systems. File-URL: http://www.inderscience.com/link.php?id=129002 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:179-197 Template-Type: ReDIF-Article 1.0 Author-Name: André Luís Shiguemoto Author-X-Name-First: André Luís Author-X-Name-Last: Shiguemoto Author-Name: Gabriela Helena Bauab Shiguemoto Author-X-Name-First: Gabriela Helena Bauab Author-X-Name-Last: Shiguemoto Title: Production and distribution coordination: a case study in the textile industry Abstract: This paper addresses the problem of coordinating a production-distribution system over a multi-period finite horizon, where a plant production produces several items that are distributed to a set of customers by a fleet of heterogeneous vehicles. The demand for each item at each customer is known over the horizon. The production planning determines how much to produce of each item in every period, while the distribution planning defines when customers should be visited and the vehicle routes. The objective is to minimise the sum of production and inventory costs at the facility and distribution costs. To solve this problem, we use a tabu search metaheuristics and the results are compared to those presented by the industry. Journal: Int. J. of Logistics Systems and Management Pages: 272-281 Issue: 2 Volume: 44 Year: 2023 Keywords: supply chain; tabu search; production-distribution coordination; metaheuristic. File-URL: http://www.inderscience.com/link.php?id=129003 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:272-281 Template-Type: ReDIF-Article 1.0 Author-Name: Catarina da Costa Chaves Author-X-Name-First: Catarina da Costa Author-X-Name-Last: Chaves Author-Name: Carina Pimentel Author-X-Name-First: Carina Author-X-Name-Last: Pimentel Title: Improvement of the warehouse reception process by planning and controlling raw material deliveries Abstract: Efficient processes and cost savings are keywords for the success of today's businesses. Ensuring good warehouse management is part of the strategy, since the lack of organisation, planning and control can have a direct impact on results. Typically, the focus of managers is on supplying production and reducing delays in delivering raw materials. However, the lack of control on the arrival dates of the material may contribute to the increase in logistical costs. This paper proposes a heuristic for scheduling raw material deliveries, based on the volume and financial value of orders, using the backward scheduling technique. Through a case study in a telecommunications company, its application was simulated revealing that, in collaboration with suppliers, it is possible to obtain improvements in the management of warehouse human resources with the prior scheduling of material deliveries; in space management and in financial management. Journal: Int. J. of Logistics Systems and Management Pages: 252-271 Issue: 2 Volume: 44 Year: 2023 Keywords: warehouse management; receiving process; early deliveries; lean warehousing; planning; JIT delivery; backward scheduling. File-URL: http://www.inderscience.com/link.php?id=129004 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:252-271 Template-Type: ReDIF-Article 1.0 Author-Name: Manoj Kumar Author-X-Name-First: Manoj Author-X-Name-Last: Kumar Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: An integrated closed loop returnable transport for perishable products in a green inventory routing system using heterogeneous vehicles and uncertainty in to and fro supply Abstract: The paper discusses an integrated returnable transport items (RTIs) for some perishable products in closed loop green inventory system having heterogeneous vehicles and uncertainty to and fro supply. It prolongs the standard inventory routing problem by considering the joint flow of integrated RTI with perishable products. The study emphasises how a distributor simultaneously plan to perform multi functions efficiently, i.e., delivery of perishable products, pick up of empty RTI and unused products from the retailers. A comprehensive objective function has been proposed and a model has been developed as a chance constrained problem and approximated as a mixed-integer problem. The model is tested with examples and results are analysed to benefits of heterogeneous fleet and comprehensive objective functions. Further, sensitivity analysis has been carried out to examine the impact of shelf life, time window, demand variability and service level. Journal: Int. J. of Logistics Systems and Management Pages: 147-178 Issue: 2 Volume: 44 Year: 2023 Keywords: returnable transport items; RTIs; closed loop inventory routing system; heterogeneous vehicles; perishable product; CO2 emissions; demand uncertainty; supply chain; SC. File-URL: http://www.inderscience.com/link.php?id=129013 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:147-178 Template-Type: ReDIF-Article 1.0 Author-Name: Raheleh Shahrouei Author-X-Name-First: Raheleh Author-X-Name-Last: Shahrouei Author-Name: Sadoullah Ebrahimnejad Author-X-Name-First: Sadoullah Author-X-Name-Last: Ebrahimnejad Title: A two-echelon logistic network considering outsourcing and demand uncertainty: a case study Abstract: In this paper, modelling and solving the two-stage production planning problem under demand uncertainty was studied. The proposed model consisted of two stages: 1) manufacturing the products requested by the customers; 2) packaging final products. In this paper, products in each stage were manufactured in regular time and overtime and if necessary, an outside contractor was employed to manufacture the products in each stage. Therefore, the aim of this study was to reduce production costs, the setup costs of production line, labour costs, maintenance costs and shortage costs. To evaluate the results of the model, a case study of Zarmacaron Company was implemented. After implementing the model and considering the demand parameter uncertainty, a fuzzy programming approach was applied to handle the uncertain parameters and the decisions including total cost, production rates in regular time and overtime and the products manufactured by an outside contractor were determined. Due to demand uncertainty, by increasing <i>α</i>-cut, the degree of uncertainty related to the expected interval of optimistic demand decrease in compared with the amount of production which leads to a significant increase in the shortage costs. Journal: Int. J. of Logistics Systems and Management Pages: 226-251 Issue: 2 Volume: 44 Year: 2023 Keywords: supply chain; production planning; demand uncertainty; triangular fuzzy numbers. File-URL: http://www.inderscience.com/link.php?id=129014 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:44:y:2023:i:2:p:226-251 Template-Type: ReDIF-Article 1.0 Author-Name: Alexandr Vladimirovich Mishchenko Author-X-Name-First: Alexandr Vladimirovich Author-X-Name-Last: Mishchenko Author-Name: Oleg Anatolievich Kosorukov Author-X-Name-First: Oleg Anatolievich Author-X-Name-Last: Kosorukov Author-Name: Olga Alexandrovna Sviridova Author-X-Name-First: Olga Alexandrovna Author-X-Name-Last: Sviridova Title: Dynamic models of transport resources management Abstract: The article discusses various models for managing transport resources, the purpose of which is to distribute a finite number of transport units along several routes of land urban transport. The values reflecting the timeliness of transport services provided to the population were taken as the optimisation criteria when searching for a solution. So, for example, models were considered when it was required to minimise the total loss of time waiting for transport services, as well as the number of passengers whose waiting time exceeds a certain critical value. In addition, a stochastic model of transport resource management was considered, when various scenarios of the development of events were taken into account (different intensities of passengers arriving at stops). Methods for assessing the stability of solutions obtained using the branch and bound methods were proposed. Journal: Int. J. of Logistics Systems and Management Pages: 518-546 Issue: 4 Volume: 46 Year: 2023 Keywords: optimisation problem; urban passing of transport; branch-and-bound method; stochastic model. File-URL: http://www.inderscience.com/link.php?id=135422 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:4:p:518-546 Template-Type: ReDIF-Article 1.0 Author-Name: Amin Zaheri Author-X-Name-First: Amin Author-X-Name-Last: Zaheri Author-Name: Majid Rafiee Author-X-Name-First: Majid Author-X-Name-Last: Rafiee Title: Cooperative advertising in manufacturer-retailer relationships with considering inventory costs Abstract: This paper considers a manufacturer and retailer's behaviours in a two-level supply chain under cooperative and non-cooperative relationships. The non-cooperative relationships are modelled through three games including Stackelberg-manufacturer, Stackelberg-retailer, and Nash game; moreover, the cooperative relationships are modelled by one cooperative game. In the two-level supply chain, the demand is sensitive to national brand name advertising, local advertising, and price. Furthermore, inventory costs including holding costs, shortage costs, and ordering costs are considered. The aim of this research is to compare the members' behaviours and profits in the different types of relationships, and in a situation, we find out whether the members prefer to transfer from a game to another game or not. A numerical example is presented in an effort to analyse the members' decision in the different types of relationships; in addition, a method is presented in order to improve variables, which are determined by a contract. Journal: Int. J. of Logistics Systems and Management Pages: 405-450 Issue: 4 Volume: 46 Year: 2023 Keywords: cooperative game; Stackelberg game; inventory costs; supply chain coordination; co-op advertising. File-URL: http://www.inderscience.com/link.php?id=135423 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:46:y:2023:i:4:p:405-450