Template-Type: ReDIF-Article 1.0 Author-Name: Ali Akbar Shaikh Author-X-Name-First: Ali Akbar Author-X-Name-Last: Shaikh Author-Name: Gobinda Chandra Panda Author-X-Name-First: Gobinda Chandra Author-X-Name-Last: Panda Author-Name: Satyajit Sahu Author-X-Name-First: Satyajit Author-X-Name-Last: Sahu Author-Name: Ajit Kumar Das Author-X-Name-First: Ajit Kumar Author-X-Name-Last: Das Title: Economic order quantity model for deteriorating item with preservation technology in time dependent demand with partial backlogging and trade credit Abstract: In this paper, we have described an inventory model for deteriorating item with preservation technology in time dependent demand with trade credit facility and partial backlogging. We have introduced an interesting factor preservation technology to reduce the deterioration rate. Shortages are allowed with a constant backlogging rate. Also, in this paper we have introduced trade credit policy in the perspective of retailers. Our main objective is to find the cycle length, preservation technology strategies and total profit. We have solved two numerical examples to validate our proposed inventory model and presented concavity graphically by using Matlab software for each example. Finally, we have presented a sensitivity analysis by changing one parameter at a time and keep rest of the parameters are same. Journal: Int. J. of Logistics Systems and Management Pages: 1-24 Issue: 1 Volume: 32 Year: 2019 Keywords: EOQ model; deterioration; preservation technology; time dependent demand; partial backlogging; trade credit. File-URL: http://www.inderscience.com/link.php?id=97070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:1-24 Template-Type: ReDIF-Article 1.0 Author-Name: A.S. Balakrishnan Author-X-Name-First: A.S. Author-X-Name-Last: Balakrishnan Author-Name: Jayshree Suresh Author-X-Name-First: Jayshree Author-X-Name-Last: Suresh Title: A conceptual framework for impact of automotive engineering changes in new product development Abstract: The automobile market is characterised by global competition, highly demanding consumers, complex business environment, and diverse advancements of technologies. To compete, auto firms are forced to develop new products and introduce into the market on time by looking into all the possible areas of new product development (NPD) process. One of the areas that both academicians and practitioners have overlooked in the past is automotive engineering changes (ECs) and its impact on NPD. Organisations need to realise the significance of ECs, its involvement in NPD and its impact on overall NPD project performance and material planning and logistics (MP%L) performance. In this paper an attempt is made to develop, a conceptual framework of the critical dimensions of ECs. The dimensions were identified using the mixed method of literature review and expert opinion interviews. The experts represented the original equipment manufacturers (OEM), Tier 1 suppliers and logistics service providers (LSP) from Asia Pacific automotive sector. This paper presents the research outcomes, implications and limitations of the study. Journal: Int. J. of Logistics Systems and Management Pages: 25-48 Issue: 1 Volume: 32 Year: 2019 Keywords: engineering changes; automotive; new product development; NPD; material planning and logistics; MP%L. File-URL: http://www.inderscience.com/link.php?id=97071 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:25-48 Template-Type: ReDIF-Article 1.0 Author-Name: Gennadiy L. Brodetskiy Author-X-Name-First: Gennadiy L. Author-X-Name-Last: Brodetskiy Title: The influence of the order prepayment on inventory optimisation Abstract: Modification of the inventory management EOQ-model factoring in the temporary value of money (TVM) and an advance payment of the order on the basis of the credit is given in this article. Its purpose is to present for the managers an appropriate modification of the EOQ-formulas for such models (both for deliveries of one nomenclature of goods, and for multinomenclature deliveries). Usage of these modifications will allow to increase the efficiency of deliveries by taking into account the specificity of appropriate cash flows, if optimisation takes into account TVM (by the scheme of simple interest). It is accepted that all payments are being realised from the revenue of the previous delivery. The necessary and sufficient condition for a possibility of such payments is established. The interest rate for factoring in the TVM reflects profitability of working capital of the modelled supply chain. It is defined in a format of the model. It is noted that the optimisation of the models of this type relate with the synergetic effect of increasing the profitability of working capital. Journal: Int. J. of Logistics Systems and Management Pages: 49-68 Issue: 1 Volume: 32 Year: 2019 Keywords: order prepayment; credit for order payment; inventory management; economic order quantity; EOQ; temporary value of money; TVM; payments from revenue; working capital profitability; EOQ modification. File-URL: http://www.inderscience.com/link.php?id=97072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:49-68 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamadreza Fazli-Khalaf Author-X-Name-First: Mohamadreza Author-X-Name-Last: Fazli-Khalaf Author-Name: Neda Ghasemi Nemati Author-X-Name-First: Neda Ghasemi Author-X-Name-Last: Nemati Title: A socially responsible supplier selection model under uncertainty: case study of pharmaceutical department of an Iranian hospital Abstract: Effective performance of suppliers could improve responsiveness of network and heightens customer loyalty. Accordingly, supplier selection has become an important challenge for company managers in supply chain planning. Also, importance of corporate social responsibility (CSR) has been emphasised by researchers that is disregarded in supplier selection scope. Inherent uncertainty of parameters is other issue that should be carefully considered in supply chain planning owing to undesirable effects of uncertainties on output decisions of network design. Therefore, a bi-objective multi-period supplier selection model is developed that minimises total of costs of network besides maximising social responsibility. To cope with uncertainty of parameters, a chance constrained possibilistic programming model is proposed. Extended model enables decision makers (DMs) to control riskaversion of output decisions. Finally, case study of pharmaceutical department of an Iranian hospital is employed to show efficiency and practicability of developed fuzzy socially responsible supplier selection model in real world problems. Journal: Int. J. of Logistics Systems and Management Pages: 69-90 Issue: 1 Volume: 32 Year: 2019 Keywords: supplier selection; corporate social responsibility; supply chain; possibilistic programming. File-URL: http://www.inderscience.com/link.php?id=97074 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:69-90 Template-Type: ReDIF-Article 1.0 Author-Name: Inga-Lill Carlsson Author-X-Name-First: Inga-Lill Author-X-Name-Last: Carlsson Author-Name: Lars Bengtsson Author-X-Name-First: Lars Author-X-Name-Last: Bengtsson Title: Developing system supplier capability by integrating knowledge with customers Abstract: As large corporations outsource parts of their manufacturing and services, many small and medium-sized enterprise (SME) suppliers are expected to deepen their capabilities and take on the role of system suppliers. The purpose of this paper is to analyse how knowledge integration with customers may help a SME develop system supplier capabilities. The study is based on a deep longitudinal case study of a SME manufacturer and focuses on continuous development capability as one of the core system supplier capabilities. The results show that knowledge integration (KI) with customers is an effective means to build system capability but that this is a stepwise process. The study identifies three levels of KI with customers: unidirectional knowledge transfer, mutual knowledge exchange and full-range knowledge integration. The analysis further indicates that each level of KI requires specific supplier capabilities. Journal: Int. J. of Logistics Systems and Management Pages: 91-109 Issue: 1 Volume: 32 Year: 2019 Keywords: small and medium-sized enterprise; SME; Sweden; system supplier; supplier capabilities; supplier development; customer integration; knowledge integration; knowledge exchange; knowledge transfer. File-URL: http://www.inderscience.com/link.php?id=97075 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:91-109 Template-Type: ReDIF-Article 1.0 Author-Name: Guilherme Bergmann Borges Vieira Author-X-Name-First: Guilherme Bergmann Borges Author-X-Name-Last: Vieira Author-Name: Rafael Mozart Da Silva Author-X-Name-First: Rafael Mozart Da Author-X-Name-Last: Silva Author-Name: Luiz Afonso Dos Santos Senna Author-X-Name-First: Luiz Afonso Dos Santos Author-X-Name-Last: Senna Author-Name: Francisco José Kliemann Neto Author-X-Name-First: Francisco José Kliemann Author-X-Name-Last: Neto Author-Name: Priscila Coutinho Costa Author-X-Name-First: Priscila Coutinho Author-X-Name-Last: Costa Title: The VTMIS implementation and their impact on pilotage and mooring operations: a comparative study between the ports of Barcelona (Spain) and Santos (Brazil) Abstract: This study focuses on the VTMIS implementation and utilisation at the ports of Santos and Barcelona. It aims at analysing: 1) the system's implementation context; 2) the adopted model, as well as its objectives and functionalities; 3) the benefits brought by the system, as well as its impacts on mooring operations and maritime pilotage service. In order to do so, a qualitative and exploratory approach was followed, based on in-depth interviews and on-site visits. As results, a much more mature and integrated VTMIS was identified in Barcelona. Due to the lack of integration and coordination perceived in the VTMIS project at the port of Santos, a set of recommendations for the proper VTMIS implementation in Brazil was developed. These recommendations may also be useful to ports of another regions involved with VTMIS implementation processes. Journal: Int. J. of Logistics Systems and Management Pages: 110-131 Issue: 1 Volume: 32 Year: 2019 Keywords: vessel traffic management information systems; VTMIS; port of Barcelona; port of Santos; comparative analysis; Spain; Brazil. File-URL: http://www.inderscience.com/link.php?id=97076 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:110-131 Template-Type: ReDIF-Article 1.0 Author-Name: Tanzila Azad Author-X-Name-First: Tanzila Author-X-Name-Last: Azad Author-Name: M. Ahsan Akhtar Hasin Author-X-Name-First: M. Ahsan Akhtar Author-X-Name-Last: Hasin Title: Capacitated vehicle routing problem using genetic algorithm: a case of cement distribution Abstract: Vehicle routing problem is a multi-objective problem. The problem involves optimising a fleet of vehicles that are to serve a number of customers from a central depot. Each vehicle has limited capacity and each customer has a certain demand. A procedure is introduced for the optimisation of a customer order service management system with a structured distribution network of a cement company of Bangladesh. The goal of the research is to find a solution of vehicle routing problem using genetic algorithm. It generates feasible clusters of resellers or distributors and determines delivery sequence and an optimal distribution network to meet demands by travelling minimum distance. The results of the study show that genetic algorithm provides a search technique used in computing to find true or approximate solution of search problems. The technique is able to determine the optimum route for the vehicles, while maintaining their constraints to get an optimal distribution network that minimises the total travelling distance. Journal: Int. J. of Logistics Systems and Management Pages: 132-146 Issue: 1 Volume: 32 Year: 2019 Keywords: capacitated vehicle routing; optimal route; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=97077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:1:p:132-146 Template-Type: ReDIF-Article 1.0 Author-Name: Moazzem Hossain Author-X-Name-First: Moazzem Author-X-Name-Last: Hossain Author-Name: Rawnak Jahan Author-X-Name-First: Rawnak Author-X-Name-Last: Jahan Title: Rice chain flow modelling for optimised supply and distribution network: the case of specialised rice mill zones in Bangladesh Abstract: The purpose of this paper is to explore the reorientation of the informal rice industry of Bangladesh into integrated and specialised rice industry zone(s), which should create platform and economy of scale for formal logistics development in an otherwise informal industry chain. This research aims at planning specialised rice industry zone(s) and associated transport logistics through finding optimised location of such zone(s) with minimised total transportation cost. Network flow model is developed using mixed integer linear programming formulation for evaluating zone locations with consolidated input and output supply base for improving informal supply and distribution logistics. Experiments with the model provide optimised locations of specified number of rice zone(s) with minimised transportation cost. The findings of this research will be useful for policy makers, transport and agribusiness researchers in rice-producing countries, especially, which have informal setup of rapidly growing rice mills. The concept can be multiplied for other crops and scaled to other rice producing countries. Journal: Int. J. of Logistics Systems and Management Pages: 147-167 Issue: 2 Volume: 32 Year: 2019 Keywords: rice chain flow modelling; food logistics; rice supply; distribution network; integrated location planning; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=97582 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:147-167 Template-Type: ReDIF-Article 1.0 Author-Name: Francesco Longo Author-X-Name-First: Francesco Author-X-Name-Last: Longo Author-Name: Letizia Nicoletti Author-X-Name-First: Letizia Author-X-Name-Last: Nicoletti Author-Name: Antonio Padovano Author-X-Name-First: Antonio Author-X-Name-Last: Padovano Title: A system for supply chains diversification and (re)design: supporting managers' perspective in the face of uncertainty Abstract: Because of the stochasticity of the supply chain (SC) and the increased uncertainty due to the negative trend of the publishing industry that is trying to survive to new trans-media contents delivery, business firms are looking for advanced tools supporting them in (re)defining their business (diversification) and in (re)designing their own SC. Here, a multi-method, iterative, four-step procedure has been defined where a new and win-win integration between value stream mapping (VSM) and multi-paradigm simulation is achieved. Such framework is implemented into a DSS (called SmartDistr), equipped with dedicated GUIs that drive the user along its application and use. The potentials of the proposed approach are demonstrated through the case study of a business firm managing a regional distribution network in the publishing industry. To this end, the proposed case study shows how the SmartDistr DSS allows evaluating operational and financial performance measures along with managerial insights that enable managers to discern easily different business diversification and SC (re)design scenarios. Journal: Int. J. of Logistics Systems and Management Pages: 168-194 Issue: 2 Volume: 32 Year: 2019 Keywords: decision support system; value stream mapping; VSM; simulation; business diversification; supply chain design; distribution network. File-URL: http://www.inderscience.com/link.php?id=97583 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:168-194 Template-Type: ReDIF-Article 1.0 Author-Name: Mohd Mehdi Author-X-Name-First: Mohd Author-X-Name-Last: Mehdi Author-Name: Salma Ahmed Author-X-Name-First: Salma Author-X-Name-Last: Ahmed Title: Exploration factors affecting an ambidextrous supply chain Abstract: The purpose of the study is to identify the exploration factors affecting an ambidextrous supply chain in Indian context. A structured questionnaire using a five-point Likert scale was employed to collect data from 110 supply chain managers working in Indian supply chains. The survey was conducted to examine the different exploration factors affecting an ambidextrous supply chain. Demographic details of the supply chain managers were also collected. Research hypotheses were also framed based on existing literature about ambidextrous supply chain and were statistically tested using structured equation modelling (SEM). The application of exploratory factor analysis (EFA) presented the existence of four constructs; three independent constructs of exploration and one dependent construct of ambidexterity. These four constructs were confirmed by the application of confirmatory factor analysis (CFA). After the confirmation of these constructs, the structured equation modelling (SEM) tested the formulated research hypotheses. SEM identified the exploration factors affecting an ambidextrous supply chain. The study is likely to provide supply chain managers significant understanding about the various exploration factors affecting an ambidextrous supply chain. This identification of various exploration factors affecting an ambidextrous supply chain will aid supply chain managers in formulating and executing their decisions appropriately. Journal: Int. J. of Logistics Systems and Management Pages: 195-219 Issue: 2 Volume: 32 Year: 2019 Keywords: ambidextrous supply chain; exploration; knowledge practices; innovative practices; exploratory learning; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=97584 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:195-219 Template-Type: ReDIF-Article 1.0 Author-Name: Sona Kande Author-X-Name-First: Sona Author-X-Name-Last: Kande Author-Name: Christian Prins Author-X-Name-First: Christian Author-X-Name-Last: Prins Author-Name: Lucile Belgacem Author-X-Name-First: Lucile Author-X-Name-Last: Belgacem Author-Name: Thibault Lhermitte Author-X-Name-First: Thibault Author-X-Name-Last: Lhermitte Title: Lagrangian heuristic for supply perishable products in two-echelon distribution network Abstract: This article presents a planning problem in a distribution network incorporating two levels inventory management of perishable products, lot-sizing, multi-sourcing and transport capacity with a homogeneous fleet of vehicles. This study is carried out in collaboration with a designer of an advanced planning system (APS) software. This type of network has been encountered in recent years by several customers, such as in the distribution of dairy products or beverages and with instances that can reach large sizes. A mixed integer linear programming (MILP) is developed to solve this real planning problem. There are some instances for which the solver cannot give a good lower bound within the maximum calculation time and for other instances it takes a lot of time to solve MILP. A Lagrangian relaxation is implemented to evaluate these instances. A repair heuristic is applied to the corresponding solutions, for which the cost tends to fall during iterations. Journal: Int. J. of Logistics Systems and Management Pages: 220-244 Issue: 2 Volume: 32 Year: 2019 Keywords: Lagrangian heuristic; lot-sizing; multi-echelon inventory; multi-sourcing; perishable product; transport capacity. File-URL: http://www.inderscience.com/link.php?id=97585 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:220-244 Template-Type: ReDIF-Article 1.0 Author-Name: Huy Truong Quang Author-X-Name-First: Huy Truong Author-X-Name-Last: Quang Author-Name: Yoshinori Hara Author-X-Name-First: Yoshinori Author-X-Name-Last: Hara Title: Managing risks and system performance in supply network: a conceptual framework Abstract: Examining a certain risk will provide an insight into a single dimension, but a picture of different risks in the supply chain (SC) is still lacking, as risks do not take place independently, but typically simultaneously. This research aims to propose and validate a conceptual framework for linking various dimensions of risk to system performance in the SC by applying SC mapping - a new approach in the SC risk body of literature. In the model, risks were classified into three categories with regard to their level of impact on performance: 1) core risks, e.g., supply risk, investor-related operational risks, contractor-related operational risks and demand risks; 2) infrastructure risks, e.g., finance risk, information risk and time risk; 3) external risks, e.g., human-made risks; 4) natural risks. Using the framework, companies will have a systematic view of risks in the whole SC network whereby they can define risks in their own context and ascertain critical SC risks that cause negative effects on SC performance. Journal: Int. J. of Logistics Systems and Management Pages: 245-271 Issue: 2 Volume: 32 Year: 2019 Keywords: risk; supply chain risk; risk management; supply chain risk management; construction sector. File-URL: http://www.inderscience.com/link.php?id=97586 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:245-271 Template-Type: ReDIF-Article 1.0 Author-Name: Nebil Buyurgan Author-X-Name-First: Nebil Author-X-Name-Last: Buyurgan Author-Name: Shengfan Zhang Author-X-Name-First: Shengfan Author-X-Name-Last: Zhang Author-Name: H. Kaan Okyay Author-X-Name-First: H. Kaan Author-X-Name-Last: Okyay Title: Methodical analysis of inventory discrepancy under conditions of uncertainty in supply chain management Abstract: This study presents two compensations methods for inventory discrepancy caused by demand, supply and lead time uncertainty as well as inventory related errors. The first method increases the resistance of supply chain by incrementing safety stock levels while the second method controls and corrects inventory discrepancy based on estimated errors. System-level errors are categorised and modelled under the best and the worst possible conditions to characterise and investigate the behaviour of discrepancy between on-hand and recorded inventory in a supply chain. Numerical analyses are performed to observe inventory and discrepancy behaviour to quantify the benefits of the methods. The results indicate that inventory errors can be characterised as an extra source of demand in supply chain. Incrementing the safety stocks based on inventory records can decrease stock-outs and lost sales but increase the level of on-hand inventory. Controlling and correcting inventory discrepancies, however, keeps low inventory. Journal: Int. J. of Logistics Systems and Management Pages: 272-290 Issue: 2 Volume: 32 Year: 2019 Keywords: inventory management; supply chain management; inventory discrepancy; safety stocks; inventory record correction. File-URL: http://www.inderscience.com/link.php?id=97587 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:2:p:272-290 Template-Type: ReDIF-Article 1.0 Author-Name: Pieter L. Van Den Berg Author-X-Name-First: Pieter L. Van Den Author-X-Name-Last: Berg Author-Name: J. Theresia Van Essen Author-X-Name-First: J. Theresia Van Author-X-Name-Last: Essen Title: Comparison of static ambulance location models Abstract: Over the years, several ambulance location models have been discussed in the literature. Most of these models have been further developed to take more complicated situations into account. However, the existing standard models that are often used in case studies have never been compared computationally according to the criteria used in practice. In this paper, we compare several ambulance location models on coverage and response time criteria. In addition to four standard ambulance location models from the literature, we also present two models that focus on average and expected response times. The computational results show that the maximum expected covering location problem (MEXCLP) and the expected response time model (ERTM) perform the best over all considered criteria. However, as the computation times for ERTM are long, the average response time model (ARTM) could be a good alternative. Based on these results, we also propose four alternative models that combine the good coverage provided by MEXCLP and the quick response times provided by ARTM. All four considered models provide balanced solutions in terms of coverage and response times. However, the multiple response times target model (MRTTM) outperforms the other models based on computation time. Journal: Int. J. of Logistics Systems and Management Pages: 292-321 Issue: 3/4 Volume: 32 Year: 2019 Keywords: emergency medical services; integer linear programming; ambulance base locations; comparative study. File-URL: http://www.inderscience.com/link.php?id=98321 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:292-321 Template-Type: ReDIF-Article 1.0 Author-Name: Amin Kaboli Author-X-Name-First: Amin Author-X-Name-Last: Kaboli Author-Name: Rémy Glardon Author-X-Name-First: Rémy Author-X-Name-Last: Glardon Author-Name: Nicolas Zufferey Author-X-Name-First: Nicolas Author-X-Name-Last: Zufferey Author-Name: Naoufel Cheikhrouhou Author-X-Name-First: Naoufel Author-X-Name-Last: Cheikhrouhou Title: Replenishment behaviour in sequential supply chains Abstract: Inventory managers do not predominantly follow normative optimisation models. At best, they introduce a level of bounded rationality in their inventory replenishment decisions. This paper examines the behaviour of inventory decision-makers under continuous review in a decentralised supply chain, using an experimental approach with unknown market demand and local information availability. The analysis reveals that not only the magnitude and the variability of order quantity tend to be larger, but also that the order-time intervals is lengthen and highly variable while moving upstream along the supply chain. The role of the inventory managers' replenishment decisions on the echelon holding, backorder, and total costs, is also investigated. Finally, a normative model is designed and its solutions are compared to the experimental results. It is observed that humans do not operate in a perfectly optimal way, but are generally reluctant to risk increasing backorder costs and reducing inventory carrying cost, even if this would lead to lower total cost. Journal: Int. J. of Logistics Systems and Management Pages: 322-345 Issue: 3/4 Volume: 32 Year: 2019 Keywords: behavioural operations management; supply chain; multi-echelon network; laboratory experiment; inventory management; cost computation; optimisation; simulation. File-URL: http://www.inderscience.com/link.php?id=98322 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:322-345 Template-Type: ReDIF-Article 1.0 Author-Name: Abdelaziz Benantar Author-X-Name-First: Abdelaziz Author-X-Name-Last: Benantar Author-Name: Rachid Ouafi Author-X-Name-First: Rachid Author-X-Name-Last: Ouafi Author-Name: Jaouad Boukachour Author-X-Name-First: Jaouad Author-X-Name-Last: Boukachour Title: A combined vehicle loading and routing problem: a case study of fuel logistics Abstract: In this paper, we introduce a model and solve a multi-compartment vehicle routing and loading problem with time windows (MCVRLP-TW). This problem originates from a real-life application arising in the fuel distribution, where a specific attention is paid to integrate the loading process in the routing problem. The main objective is to satisfy all petrol station demands at a minimal routing and service cost. For the MCVRLP-TW, we begin by describing the problem, providing its mathematical models and proposing an efficient tabu search to solve it. Within the framework of the tabu search, we introduce an efficient feature based on the Kolmogorov-Smirnov statistic to restrict the search process to a set of elite neighbouring solutions. We evaluate the performance of the approach by means of extensive numerical experiments. Furthermore, we analyse a real case under different datasets to demonstrate to our industrial partner the effectiveness of the proposed approach. Journal: Int. J. of Logistics Systems and Management Pages: 346-371 Issue: 3/4 Volume: 32 Year: 2019 Keywords: vehicle routing problem; loading problem; compartments; time windows; tabu search; fuel distribution; logistics systems; management. File-URL: http://www.inderscience.com/link.php?id=98323 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:346-371 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmed Karam Author-X-Name-First: Ahmed Author-X-Name-Last: Karam Author-Name: El-Awady Attia Author-X-Name-First: El-Awady Author-X-Name-Last: Attia Title: Integrating collaborative and outsourcing strategies for yard trucks assignment in ports with multiple container terminals Abstract: In container terminals, yard trucks (YTs) are mostly used for transporting containers between storage yards and berthing positions of vessels. Even though keeping a large number of YTs ensures lower service times especially at peak periods, but this way is not cost-effective for container terminals due to daily volatility of demand. In literature, outsourcing and collaborative strategies have been investigated as alternatives to keep a large number of YTs to alleviate possible bottlenecks arising in peak periods. The outsourcing strategy means renting additional YTs for a container terminal. While collaborative strategy is implemented by sharing YTs among multiple container terminals with adjacent locations. However, these two strategies have been dealt with separately in literature. This paper presents a new MIP model which considers the two strategies simultaneously. The proposed model is solved using a rolling horizon heuristic. Numerical experiments are performed to evaluate the performance of the proposed approach. Journal: Int. J. of Logistics Systems and Management Pages: 372-391 Issue: 3/4 Volume: 32 Year: 2019 Keywords: yard truck; collaboration; sharing; outsourcing; rolling horizon; container terminals. File-URL: http://www.inderscience.com/link.php?id=98324 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:372-391 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Bahroun Author-X-Name-First: Mohamed Author-X-Name-Last: Bahroun Author-Name: Slim Harbi Author-X-Name-First: Slim Author-X-Name-Last: Harbi Author-Name: Hanen Bouchriha Author-X-Name-First: Hanen Author-X-Name-Last: Bouchriha Title: A new approach for ordering decision under uncertainties: a case study in the retail supply chain Abstract: Many retailers experience significant losses due to out of stock (OOS) risk. A thorough analysis of a case study has revealed that this situation depends on three main factors: first, the demand and supply risks, second the responses of customers to on shelves OOS and third the behaviour of managers facing these risks. This exploratory and theoretical research focuses on the modern retail supply chain risks associated with the supply side and the demand side and highlights the impact of these risks on the on shelves OOS and the total cost of lost sales (TCLS). We propose a new approach for ordering decision under supply and demand uncertainties. This approach considers a new method to predict the supply risk and proposes a realistic estimation of the TCLS taking into account the responses of customers to OOS. Some numerical examples from a real case study are presented to illustrate the proposed approach. Journal: Int. J. of Logistics Systems and Management Pages: 392-413 Issue: 3/4 Volume: 32 Year: 2019 Keywords: modern retail supply chain; supply risk; demand risk; lost sales; out-of-stock; consumer behaviour. File-URL: http://www.inderscience.com/link.php?id=98325 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:392-413 Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Mohammad Gholami-Zanjani Author-X-Name-First: Seyed Mohammad Author-X-Name-Last: Gholami-Zanjani Author-Name: Sobhgol Gholipour Author-X-Name-First: Sobhgol Author-X-Name-Last: Gholipour Author-Name: Masoud Rabbani Author-X-Name-First: Masoud Author-X-Name-Last: Rabbani Title: An integrated approach for robust inventory routing problem in a three-echelon distribution system Abstract: This paper introduces the robust inventory routing problem with finite time horizon in three-level distribution systems considering uncertain demand and transportation cost. The vendor is responsible for replenishing distribution centres and distribution centres replenish geographically scattered customers. The products are distributed by capacitated vehicles and, depending on the decision variables, multiple vehicles are assigned to each distribution centre. The inventories are kept both in distribution centres and customer sites. The objective is was to find a combined transportation and inventory strategy and minimise system cost while meeting the demand of each customer without shortage and ensuring feasibility regardless of the realised demands and transportation cost. The proposed system is integrated by a mixed integer linear programming (MILP) formulation for deterministic case of the problem. Moreover, the corresponding robust counterpart is formulated with regard to three different techniques of box, polyhedral and interval-polyhedral and analysed using adjustable uncertainty parameters on a test bed. Finally, to cope with intractability of large size problems, an imperialist competitive algorithm is developed by genetic algorithm operators. Journal: Int. J. of Logistics Systems and Management Pages: 414-436 Issue: 3/4 Volume: 32 Year: 2019 Keywords: inventory routing problem; IRP; distribution; logistics; robust optimisation; imperialist competitive algorithm; ICA. File-URL: http://www.inderscience.com/link.php?id=98326 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:414-436 Template-Type: ReDIF-Article 1.0 Author-Name: J. Isaac Pemberthy R Author-X-Name-First: J. Isaac Pemberthy Author-X-Name-Last: R Author-Name: Juan E. Muriel-Villegas Author-X-Name-First: Juan E. Author-X-Name-Last: Muriel-Villegas Author-Name: Alexander A. Correa-Espinal Author-X-Name-First: Alexander A. Author-X-Name-Last: Correa-Espinal Title: A cross-border, long haul freight transportation problem with transhipments Abstract: Transportation networks have become the major lifeline of modern societies, not only ensuring individual well-being, but fostering economic growth through fast and reliable transportation activities. Furthermore, the direct relationship between transportation and economic productivity and the steady rise of transnational commercial agreements represent a unique opportunity for developing countries to boost their economies. This paper presents a long-haul, transnational, cross-border transportation problem with transhipments applied to a transportation carrier in Colombia, Latin America. The company faces a combination of challenges that are still rare in the literature such as time windows, a vast fleet and different transportation regulations among different countries. The problem is solved using a combination of simulation and a metaheuristic, which was tested by using two types of heuristics to generate the initial feasible solution. The proposed methods proved its superiority over the solution approach applied by the carrier, showing that significant gains can be obtained. Journal: Int. J. of Logistics Systems and Management Pages: 437-464 Issue: 3/4 Volume: 32 Year: 2019 Keywords: metaheuristics; simulation; distribution logistics; vehicle routing. File-URL: http://www.inderscience.com/link.php?id=98327 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:437-464 Template-Type: ReDIF-Article 1.0 Author-Name: El Hassan Laaziz Author-X-Name-First: El Hassan Author-X-Name-Last: Laaziz Author-Name: Najiba Sbihi Author-X-Name-First: Najiba Author-X-Name-Last: Sbihi Title: A service network design model for an intermodal rail-road freight forwarder Abstract: Intermodal transportation has known a great development recently as a consequence of the development of container transportation services. The development of gateways infrastructures (ports, airports) but also the extension of gateways to dry ports has led to the development of intermodal logistics networks that requires research for the optimisation of their infrastructure design and their services configuration. The service network design problem of a network performing intermodal railroad freight transportation consists of the determination of the services to operate on the network and their frequencies while minimising cost and maximising service level. The purpose of this paper is to present a model for the service network design problem in the case of intermodal rail-road container freight transportation. This model is based on a capacitated fixed charge path formulation. It gives as outcomes shipping flows, service frequency as well as the required capacity and loading plans in the intermodal terminals. Journal: Int. J. of Logistics Systems and Management Pages: 465-482 Issue: 3/4 Volume: 32 Year: 2019 Keywords: intermodal transportation; rail-road; service network design; consolidation; freight forwarding; combinatorial optimisation; mixed integer linear program. File-URL: http://www.inderscience.com/link.php?id=98328 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:465-482 Template-Type: ReDIF-Article 1.0 Author-Name: Felipe Brum De Brito Sousa Author-X-Name-First: Felipe Brum De Brito Author-X-Name-Last: Sousa Title: Model of shared distribution of newspapers and e-commerce Abstract: The availability of news and reading online through smartphones, tablets and computers has reduced the sale of newspapers in the world. On the other hand, the logistics express cargo (characteristic of e-commerce models) grows every day making use of optimised outsourced resources. This study aims to develop a model for planning the shared physical distribution of newspapers and e-commerce products for use in the logistics operator. Its resolution will be performed by discrete optimisation (vehicles and entire cargo) through integer linear programming, through mathematical modelling and processing in MATLAB, in which scenarios of outsourcing physical distribution are analysed, taking into consideration the impact of an increase in demand coming in profitability, penalties revenue by charging postponements, cost variations by including extra fleet, introduction of contractual penalty for not carrying any product, and tests with varying postponement times of shipments. Journal: Int. J. of Logistics Systems and Management Pages: 483-495 Issue: 3/4 Volume: 32 Year: 2019 Keywords: shared logistics; mathematical modelling; newspapers; e-commerce. File-URL: http://www.inderscience.com/link.php?id=98331 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:483-495 Template-Type: ReDIF-Article 1.0 Author-Name: Malak Mouaky Author-X-Name-First: Malak Author-X-Name-Last: Mouaky Author-Name: Abdelaziz Berrado Author-X-Name-First: Abdelaziz Author-X-Name-Last: Berrado Author-Name: Loubna Benabbou Author-X-Name-First: Loubna Author-X-Name-Last: Benabbou Title: Using a kanban system for multi-echelon inventory management: the case of pharmaceutical supply chains Abstract: This paper explores the implementation of a kanban system within a multi-echelon pharmaceutical supply chain (MEPSC). The article tackles the multi-echelon supply chain problem and the role of collaboration to enhance its performance specifically while using a pull system. The study provides also insights on the different existing Kanban systems that were created to overcome the difficulties and challenges faced by the original kanban system. This paper presents how a kanban system could manage pharmaceuticals inventory and enhance the information sharing through a multi-echelon supply chain. There are two primary findings: a) that the implementation of Kanban system provides a strategic benefit and improves the quality of services and information sharing through a multi-echelon supply chain; b) It also provides a foundation to leverage innovation in pharmaceutical supply chains; it gives the opportunity to the organisation to move away from the current push delivery and logistics systems towards improved logistics strategy models to empower front-line caregivers. Journal: Int. J. of Logistics Systems and Management Pages: 496-519 Issue: 3/4 Volume: 32 Year: 2019 Keywords: kanban; echelon kanban; inventory management; lean; just-in-time; JIT; pharmaceutical supply chain; multi-echelon supply chain. File-URL: http://www.inderscience.com/link.php?id=98333 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:496-519 Template-Type: ReDIF-Article 1.0 Author-Name: Richard Saade Author-X-Name-First: Richard Author-X-Name-Last: Saade Author-Name: Mira Thoumy Author-X-Name-First: Mira Author-X-Name-Last: Thoumy Author-Name: Omar Sakr Author-X-Name-First: Omar Author-X-Name-Last: Sakr Title: Green supply chain management adoption in Lebanese manufacturing industries: an exploratory study Abstract: This paper bases itself on the dual factor theory to study the motivators, barriers and hygiene factors affecting the adoption of green supply chain management (GSCM) activities in Lebanese manufacturing industries. Out of 60 Lebanese companies that have already taken green initiatives, 37 were analysed. The paper reveals that GSCM adoption is positively correlated with marketing opportunities, market motivators and manpower's involvement. We also found that the external stakeholder's pressure and the lack of government support hinder the GSCM adoption. Moreover, ISO 14001 certified companies have shown a higher rate of adoption of GSCM. Journal: Int. J. of Logistics Systems and Management Pages: 520-547 Issue: 3/4 Volume: 32 Year: 2019 Keywords: green supply chain management; GSCM; motivators; barriers; hygiene factors; dual factor theory; manufacturing industry; Lebanon. File-URL: http://www.inderscience.com/link.php?id=98334 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:520-547 Template-Type: ReDIF-Article 1.0 Author-Name: C.R. Vishnu Author-X-Name-First: C.R. Author-X-Name-Last: Vishnu Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Author-Name: P.N. Ram Kumar Author-X-Name-First: P.N. Ram Author-X-Name-Last: Kumar Title: Supply chain risk inter-relationships and mitigation in Indian scenario: an ISM-AHP integrated approach Abstract: Supply chain risk management analyses and controls both internal and external supply chain risks through coordination/collaboration of supply chain partners to ensure profitability and business continuity. Be it internal or external, successful mitigation of these risks has always been a serious concern in the pursuit of customer satisfaction. The impact potential of these supply chain risk factors varies significantly as a result of their inter-relationships which further decide the selection of mitigation strategies. In this paper, we investigate the interdependence among the various supply chain risk factors that are prevalent in the Indian context by developing an interpretive structural model (ISM). Unlike a generic ISM, the proposed model incorporates the strength of the inter-relationships by deploying colour codes and a differential rating scale. Furthermore, we propose a group decision-making framework based on analytic hierarchy process for the prioritisation and selection of appropriate mitigation strategies. Finally, a case study is also presented to illustrate the proposed framework. Journal: Int. J. of Logistics Systems and Management Pages: 548-578 Issue: 3/4 Volume: 32 Year: 2019 Keywords: supply chain risk management; risk inter-relationships; interpretive structural model; ISM; MICMAC; analytic hierarchy process; AHP; risk mitigation. File-URL: http://www.inderscience.com/link.php?id=98335 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:32:y:2019:i:3/4:p:548-578 Template-Type: ReDIF-Article 1.0 Author-Name: Luiz C. Roque Júnior Author-X-Name-First: Luiz C. Roque Author-X-Name-Last: Júnior Author-Name: Guilherme F. Frederico Author-X-Name-First: Guilherme F. Author-X-Name-Last: Frederico Author-Name: Maykon L.N. Costa Author-X-Name-First: Maykon L.N. Author-X-Name-Last: Costa Title: Supply chain management maturity and complexity: findings from a case study at a health biotechnology company in Brazil Abstract: Recently, research on the maturity levels of different management areas has gained increased importance. In supply chain management (SCM), some approaches have been developed with a view to better understanding how to enhance performance. This paper presents a case study at a Brazilian biotech company, which is a national reference in molecular biology. The purpose is to gather evidence of the level of maturity and complexity in supply chain management. Considering that supply chains are crucial for companies in the health services segment, the results of this survey establish the company maturity dimensions to serve as a base in working towards achieving higher SCM competence levels. The survey also includes complexity elements for the purpose of gathering evidence on existing relations between complexity and maturity. From the main findings, a clear relationship can be established between maturity and complexity levels. This study makes an important contribution to the literature on SCM maturity and complexity. It can also be used by practitioners as a guide to be applied in companies to drive understanding of the relationship between maturity and complexity. Journal: Int. J. of Logistics Systems and Management Pages: 1-25 Issue: 1 Volume: 33 Year: 2019 Keywords: supply chain management; maturity; complexity; biotechnology; health; case study; Brazil. File-URL: http://www.inderscience.com/link.php?id=99658 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:1-25 Template-Type: ReDIF-Article 1.0 Author-Name: Maria Cristina Fogliatti De Sinay Author-X-Name-First: Maria Cristina Fogliatti De Author-X-Name-Last: Sinay Author-Name: Gabriel Aguiar De Araújo Author-X-Name-First: Gabriel Aguiar De Author-X-Name-Last: Araújo Author-Name: Laura Sinay Author-X-Name-First: Laura Author-X-Name-Last: Sinay Author-Name: Marta Correa Dalbem Author-X-Name-First: Marta Correa Author-X-Name-Last: Dalbem Title: Brazilian trends in the practice of corporate social responsibility Abstract: The objective of this study is to verify trends in the level of adoption of some CSR practices by the largest Brazilian companies. Secondary data were analysed on more than 600 Brazilian companies related to their adherence to CSR practices along the 2008-2014 period. While <i>environmental educational programs</i> got the highest adherence, <i>accountability for environmental hazards</i> got the lowest one. Industrial and agroindustrial sectors adhered more to and scored better for CSR practices than commercial and services sectors, but still showed low adherence to eco-efficient and/or accountability practices. The adherence ratio to CSR practices by the commercial sector is more volatile, signalling that it is less committed to long term CSR strategies. The services sector scored well, close to the other three sectors. It was also possible to observe that CSR is still seen as discretionary by a number of companies which tend to neglect environmentally friendly practices during economic downturns. Journal: Int. J. of Logistics Systems and Management Pages: 26-41 Issue: 1 Volume: 33 Year: 2019 Keywords: corporate social responsibility; CSR; Brazilian corporate social responsibility practices; Brazilian CSR practices; corporate social responsibility in economic sectors; CSR in economic sectors; trends in corporate social responsibility practices; trends in CSR practices; performance in corporate social responsibility; performance in CSR. File-URL: http://www.inderscience.com/link.php?id=99659 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:26-41 Template-Type: ReDIF-Article 1.0 Author-Name: Nizar Zaarour Author-X-Name-First: Nizar Author-X-Name-Last: Zaarour Author-Name: Emanuel Melachrinoudis Author-X-Name-First: Emanuel Author-X-Name-Last: Melachrinoudis Author-Name: Shashank Kapadia Author-X-Name-First: Shashank Author-X-Name-Last: Kapadia Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Title: Determining the optimal collection period for returned products in a stochastic environment Abstract: As the customer centricity has become a norm for today's business practices, a growing number of firms adopted liberal product return policies. Such policies, however, can backfire due to their costly operations and unpredictability associated with product returns. To minimise the adverse impact of product returns on the firm's bottom line and enhance customer satisfaction with hassle-free handling of product returns processes, we develop and propose a mathematical model that determines the optimal collection period at an initial collection point (ICP) before transshipping the returned products to a centralised return centre (CRC) while taking into account the uncertain rate of returns for these products. To reflect the complexity and uncertainty of the product return processes, we formulate a general model for daily returns following a discrete probability distribution and analyse the case for Poisson distribution. Journal: Int. J. of Logistics Systems and Management Pages: 42-58 Issue: 1 Volume: 33 Year: 2019 Keywords: stochastic; product returns; collection time period; close-loop supply chain. File-URL: http://www.inderscience.com/link.php?id=99660 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:42-58 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Said Obeidat Author-X-Name-First: Mohammed Said Author-X-Name-Last: Obeidat Author-Name: Mohammed T. Hayajneh Author-X-Name-First: Mohammed T. Author-X-Name-Last: Hayajneh Title: Implementing an insert-node heuristic travelling salesman problem: a case study to reduce the travelling cost of a medical representative Abstract: This paper develops an insert-node heuristic for solving a case study involving the travelling salesman problem (TSP), a new infants' formula company that is entering the US market. The company established one head office in each state that has some medical representatives. One representative in the state of Kansas office who is in charge of visiting maternity hospitals or clinics in 48 cities in Kansas (USA) is selected. The objective of this research paper is to find the optimal route between the 48 cities for the representative, to minimise the travelling time and cost. The contribution of this paper to the literature is that the insert-node heuristic approach is applied to the medicine and infants' formula distribution in the state of Kansas. Journal: Int. J. of Logistics Systems and Management Pages: 59-72 Issue: 1 Volume: 33 Year: 2019 Keywords: travelling salesman problem; TSP; heuristic; cost minimisation; Hamiltonian cycle. File-URL: http://www.inderscience.com/link.php?id=99661 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:59-72 Template-Type: ReDIF-Article 1.0 Author-Name: Hui Han Author-X-Name-First: Hui Author-X-Name-Last: Han Title: A review and a model for logistics clusters Abstract: While logistics clusters (LC) are developing rapidly, there is clearly a lack of consensus on term names and definitions within the field of logistics clusters, let alone a common model for the logistics regions hierarchy. This study systematically reviews and compares relevant terms, so that the subsequent issues can be answered: 1) What are key concepts about LC and related areas being described?; 2) What is the relationship between these terms?; 3) What are the limitations of current models for the logistics regions hierarchy? The paper first provides a content analysis of 153 carefully identified papers from books, edited volumes, conferences and journals. Then, based on the scope and the scale of logistics activities criteria, we propose a four-layer model for the logistics regions hierarchy. The proposed model is valuable in guiding scholars and practitioners to understand typology and hierarchy of logistics entities. Finally, this paper affords some guidelines on the direction of future research. Journal: Int. J. of Logistics Systems and Management Pages: 73-96 Issue: 1 Volume: 33 Year: 2019 Keywords: logistics cluster; agglomeration; hierarchy model; literature review; content analysis; logistics centre; logistics hub. File-URL: http://www.inderscience.com/link.php?id=99662 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:73-96 Template-Type: ReDIF-Article 1.0 Author-Name: Md. Tanweer Ahmad Author-X-Name-First: Md. Tanweer Author-X-Name-Last: Ahmad Author-Name: Sandeep Mondal Author-X-Name-First: Sandeep Author-X-Name-Last: Mondal Title: Supplier selection model under changing criteria environment Abstract: The study aims to present the supplier selection (SS) model under changing criteria environment based upon the market, because not all suppliers in the market are capable to perform potentially under the considered set of criteria. However, the practical situation related to criteria and supplier's attributes in the company vary from time to time due to this uncertain environment. In order to this, an SS model based upon the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. The approach includes fuzziness with the strategic perspective of finding the best set with suppliers in order to cope of the uncertainties. The methodology is validated through realistic data taken from an Indian automotive company. Subsequently, sensitivity analysis is conducted to determine the robustness of the process. This identifies the robust set of criteria for evaluation of the problem which often means changing the product. Journal: Int. J. of Logistics Systems and Management Pages: 97-125 Issue: 1 Volume: 33 Year: 2019 Keywords: supplier selection; fuzzy TOPSIS; automotive company; sensitivity analysis; changing-criteria. File-URL: http://www.inderscience.com/link.php?id=99663 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:97-125 Template-Type: ReDIF-Article 1.0 Author-Name: Hamed Tayebi Author-X-Name-First: Hamed Author-X-Name-Last: Tayebi Title: A one-warehouse/multi-retailer inventory system with lost sales, Erlangian lead times, and emergency shipments Abstract: We consider a two-echelon inventory system with one central warehouse and a number of retailers. In case of a stock-out at the warehouse, the external supplier replenishes retailers' stocks by emergency shipments. The warehouse and retailers apply a base-stock ordering policy and unsatisfied demands at retailers will be lost. We assume that lead times of retailers are Erlangian distributed. Under the realistic assumption that the replenishment orders do not cross in time, the Erlangian lead times become stochastically dependent. This dependency will affect the optimal base-stock levels at retailers and, consequently, the optimal base-stock level at the warehouse. In this paper, we estimate the demand rate at the warehouse, and calculate the total cost function of the inventory system. We also present an algorithm to compute the optimal base-stock levels at the warehouse and retailers. Our numerical study illustrates that the sequential supply system cannot be ignored. Journal: Int. J. of Logistics Systems and Management Pages: 126-139 Issue: 1 Volume: 33 Year: 2019 Keywords: inventory control; logistics; two-echelon inventory system; base stock policy; lost sales; stochastic process; queuing theory; Erlangian lead times; stock-out frequency; emergency shipment. File-URL: http://www.inderscience.com/link.php?id=99666 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:1:p:126-139 Template-Type: ReDIF-Article 1.0 Author-Name: Zohre Ranjbar Author-X-Name-First: Zohre Author-X-Name-Last: Ranjbar Author-Name: A. Mirzazadeh Author-X-Name-First: A. Author-X-Name-Last: Mirzazadeh Title: The forward and reverse pharmaceutical supply chain network design considering tainted product delivery Abstract: This paper deals with pharmaceutical supply-chain network design considering time periods. Due to the importance of healthcare management in the forward side of supply chain and increasing amount of waste in recent years, we address both forward and back side flow of pharmaceutical network in this paper to satisfy patients' need and control the useless materials to achieve environmental considerations. We proposed a seven echelon closed-loop network with capacitated facilities in which time periods, transportation mode and production technology are included. It is noteworthy that inspection at distribution centres is applied to prevent tainted material delivery on the forward side. These useless materials have been sent to collection centres to be disposed of in the best way. Furthermore, the model of this paper determines the number of production centres, distribution centres, collection centres, production technology, transportation mode and the best way in the process of waste disposing and tries to satisfy consumer's need on time and minimise the network costs. Some numerical examples are proposed to explain the results. Journal: Int. J. of Logistics Systems and Management Pages: 205-220 Issue: 2 Volume: 33 Year: 2019 Keywords: closed loop; healthcare; network design; inspection; waste management. File-URL: http://www.inderscience.com/link.php?id=100110 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:205-220 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmet Selcuk Basarici Author-X-Name-First: Ahmet Selcuk Author-X-Name-Last: Basarici Author-Name: Tanzer Satir Author-X-Name-First: Tanzer Author-X-Name-Last: Satir Title: Empty container movements beyond the effect of trade imbalance: Turkish terminals Abstract: The research objective of this study is to reveal the facts and magnitude of empty container movements (ECM) other than trade imbalances, which is called additional empty container movements (AECM) herein. According to the research, objectives have been extended to reveal the reasons for this, to form an opinion about the root causes, and to submit implications and recommendations on how to reduce this. We must distinguish trade imbalance and AECM to find a reasonable solution for effective container transportation and to eradicate avoidable ECM. We have categorised the reasons for ECM and proposed a model and mathematical formula to quantify the magnitude of AECM. The unique formula derived from the proposed model has been implemented to analyse ECM in Turkish terminals for the throughput between 2013 and 2015. The results of the empirical study indicate significant magnitude of AECM. Journal: Int. J. of Logistics Systems and Management Pages: 141-166 Issue: 2 Volume: 33 Year: 2019 Keywords: maritime container transportation; container repositioning; market effect; Turkish container terminals; empty container movement; trade imbalance; logistics systems; logistics model; management of container transportation. File-URL: http://www.inderscience.com/link.php?id=100111 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:141-166 Template-Type: ReDIF-Article 1.0 Author-Name: Victoria Gerami Author-X-Name-First: Victoria Author-X-Name-Last: Gerami Author-Name: Ivan Shidlovskiy Author-X-Name-First: Ivan Author-X-Name-Last: Shidlovskiy Title: Factoring in vehicle capacity in multi-nomenclature EOQ-models Abstract: For the multi-nomenclature EOQ-models the analysis of feasibility of deliveries using several vehicles factoring in vehicle capacity is conducted. It is proved that such deliveries with an increase in the number of vehicles that simultaneously used for a single delivery cannot be effective, if a discount is not given for the cost of such a delivery. The necessary and sufficient condition that sets the threshold level of the discount, at which the deliveries by several vehicles are able to compete with the traditional solutions, is established. The cases of numerical calculations are presented in the article. Journal: Int. J. of Logistics Systems and Management Pages: 167-189 Issue: 2 Volume: 33 Year: 2019 Keywords: transportation; EOQ-models; economic order quantity; EOQ; vehicle capacity; inventory management; multi-nomenclature models; supply chain management; SCM; deliveries using several vehicles; cost optimisation; logistics; logistics systems. File-URL: http://www.inderscience.com/link.php?id=100112 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:167-189 Template-Type: ReDIF-Article 1.0 Author-Name: S.R. Singh Author-X-Name-First: S.R. Author-X-Name-Last: Singh Author-Name: Swati Sharma Author-X-Name-First: Swati Author-X-Name-Last: Sharma Title: A partially backlogged supply chain model for deteriorating items under reverse logistics, imperfect production/remanufacturing and inflation Abstract: Reverse logistics increasingly conquered interest in the past decade. It consists of operations related to the reuse of products, such as the collection of products from end users and general processes such as reusing, repairing, and recycling. In this paper, a reverse logistics supply chain inventory model in an inflationary environment is developed. Production and remanufacturing rates are finite and variable. During the production (remanufacturing) process some imperfect quality products are produced (remanufactured), which are reworked after production (remanufacturing) run. Items deteriorate over time with time-varying deterioration rate. Many classical reverse logistics supply chain models are developed with constant demand rate and ignoring the shortages which are not true all the time in practical life. Therefore, in this model, it is assumed that the demand rate of the buyer is a function of on-hand inventory and selling price. Shortages are allowed only for the buyer and partially backordered with a time-dependent backlogging rate. The purpose of this study is to determine the optimal integrated reverse logistics supply chain policy. Finally, numerical examples and sensitivity analysis along with some decision-making implications are provided. Journal: Int. J. of Logistics Systems and Management Pages: 221-255 Issue: 2 Volume: 33 Year: 2019 Keywords: reverse logistics; supply chain; Weibull deterioration; imperfect production/remanufacturing; inflation; shortages. File-URL: http://www.inderscience.com/link.php?id=100113 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:221-255 Template-Type: ReDIF-Article 1.0 Author-Name: Mahshid Zanganeh Author-X-Name-First: Mahshid Author-X-Name-Last: Zanganeh Author-Name: Sadoullah Ebrahimnejad Author-X-Name-First: Sadoullah Author-X-Name-Last: Ebrahimnejad Author-Name: Amirhossein Moosavi Author-X-Name-First: Amirhossein Author-X-Name-Last: Moosavi Author-Name: Hamed Tayebi Author-X-Name-First: Hamed Author-X-Name-Last: Tayebi Title: A bi-objective model for humanitarian logistics network design in response to post-disaster Abstract: Disaster management is a broad topic consist various operations to recover victim regions of natural disasters, such as disaster relief (DR) and post-disaster operations. Regarding the considerable importance of sufficient and on time assistance for affected people, this paper investigates the humanitarian logistics network design (HLND) that allocates and distributes the DR resources to affected areas. In this study, a bi-objective mixed integer linear programming (MILP) model has been proposed that maximises lifesaving utility function of wounded people and minimises the consequences of aiding to affected people with delay. Since the required data for decision-making are changing over the time, rolling horizon approach and time-space network have been linked to each other in order to deal with the dynamic essence of this problem. Eventually, we have studied a real case study of Sichuan to evaluate the proposed MILP model. According to the computational results, assignment of DR resources satisfies 57.4%, 43.8%, 57.5% and 14.6% of the demands in Dujiangyan, Wenchuan, Beichuan, and Qingchuan cities only 20 hours after the natural disaster, respectively. Journal: Int. J. of Logistics Systems and Management Pages: 256-279 Issue: 2 Volume: 33 Year: 2019 Keywords: resource allocation and distribution; humanitarian logistic; disaster management; rolling horizon approach; time-space network. File-URL: http://www.inderscience.com/link.php?id=100115 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:256-279 Template-Type: ReDIF-Article 1.0 Author-Name: Yavuz Keceli Author-X-Name-First: Yavuz Author-X-Name-Last: Keceli Author-Name: Mehmet Oguz Author-X-Name-First: Mehmet Author-X-Name-Last: Oguz Title: Optimum weighbridge locations in container terminals Abstract: Weighing of containers is an important task in container terminals, and can lead to operational bottlenecks if it causes long queues. This study develops a simulation model to compare different container terminal layouts in terms of weighbridge location. The results indicate that when weighbridges are located at the gates rather than inside the terminal area, this causes shorter queues and leads to shorter truck turnaround times. Journal: Int. J. of Logistics Systems and Management Pages: 190-204 Issue: 2 Volume: 33 Year: 2019 Keywords: weighbridges; optimum weighbridge locations; simulation models; container weighing; operational bottlenecks; container terminals; terminal layouts; truck turnaround times. File-URL: http://www.inderscience.com/link.php?id=100116 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:190-204 Template-Type: ReDIF-Article 1.0 Author-Name: Iñigo L. Ansorena Author-X-Name-First: Iñigo L. Author-X-Name-Last: Ansorena Title: A new tool for generating scenarios in container terminals Abstract: This article presents a new tool for generating scenarios in container terminals. The tool simulates the arrival of vessels at container terminals. Each new ship call is modelled with eight variables that are crucial to produce scenarios of high practical relevance. Four variables describe the characteristics of container ships (demand) while the other four describe port performance (service). Then the tool generates random numbers from these variables. The random numbers are generated according to statistical distributions. Then the tool detects a 'failure' if the generated number (output) is out of a range of tolerance. The number generator is the first step to develop a complex simulation model which might be used to cope with berth planning and crane scheduling problems in the future. The structure of the generator discussed here is general enough to be applied to any container terminal. Journal: Int. J. of Logistics Systems and Management Pages: 280-290 Issue: 2 Volume: 33 Year: 2019 Keywords: simulation; container terminals; failure rate; port performance; service-demand. File-URL: http://www.inderscience.com/link.php?id=100117 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:280-290 Template-Type: ReDIF-Article 1.0 Author-Name: Jae-Dong Hong Author-X-Name-First: Jae-Dong Author-X-Name-Last: Hong Author-Name: Ki-Young Jeong Author-X-Name-First: Ki-Young Author-X-Name-Last: Jeong Title: Goal programming and data envelopment analysis approach to disaster relief supply chain design Abstract: The objective of this paper is to present and demonstrate the use of goal programming and data envelopment analysis (GP-DEA) framework for the disaster relief supply chain (DRSC) design problem to help decision-makers who are responsible for disaster planning and management. For this, we develop a GP model with multi-objective functions, and each of the results from the GP is considered as a decision making unit (DMU). The impacts of the emergency relief facilities (ERFs) and the distribution channels between the facilities are evaluated and quantified concerning the efficiency and robustness. A case study using historical data in South Carolina is analysed with the framework. We identify that GP-DEA framework optimizes and evaluates DRSC layouts without any subjective judgment from decision-makers. Further, we also identify that the performance of DRSC layouts is the most significantly determined by the distribution channels. If any DRSC includes more influencing channels, its performance improves. Journal: Int. J. of Logistics Systems and Management Pages: 291-321 Issue: 3 Volume: 33 Year: 2019 Keywords: data envelopment analysis; DEA; goal programming; disaster relief supply chain; DRSC; logistics network design. File-URL: http://www.inderscience.com/link.php?id=101158 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:291-321 Template-Type: ReDIF-Article 1.0 Author-Name: Alfathi Najlae Author-X-Name-First: Alfathi Author-X-Name-Last: Najlae Author-Name: Lyhyaoui Abdelouahid Author-X-Name-First: Lyhyaoui Author-X-Name-Last: Abdelouahid Author-Name: Sedqui Abdelfettah Author-X-Name-First: Sedqui Author-X-Name-Last: Abdelfettah Title: Product driven system for the optimal assignment of warehouse locations Abstract: The assignment of locations is one of the warehouse management pillars. This paper presents a new method for assigning to each product, the optimum location relative to the product and to the location assignment system. To achieve this objective, we propose the integration of an infotronic technology carried by product. By this, the product becomes smart and able to find the best location where it must be stored. We consider each empty location or set of empty locations a section called critical section. Thus, by being intelligent, the smart products must manage the access to these sections. We have applied the solution to manage the locations assignment in a steel coil warehouse. Thus, we have validated that piloting by product allows optimal managements of locations assignment. Journal: Int. J. of Logistics Systems and Management Pages: 322-352 Issue: 3 Volume: 33 Year: 2019 Keywords: product driven system; smart product; infotronic technology; assignment of location; critical section; warehouse. File-URL: http://www.inderscience.com/link.php?id=101159 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:322-352 Template-Type: ReDIF-Article 1.0 Author-Name: B. Padmanabh Author-X-Name-First: B. Author-X-Name-Last: Padmanabh Author-Name: S. Jeevananda Author-X-Name-First: S. Author-X-Name-Last: Jeevananda Title: Inquiry into reverse logistics and a decision model Abstract: A process in which a product is moving in reverse along the supply chain network is called as reverse logistics. The objective of reverse logistics is to recapture the value of the final product. Reverse logistics is gaining ground because of its importance in managing a closed loop supply chain. Companies across the world are showing concern about environmental degradation and are realising the need for sustainable development. Many countries have already passed legal regulations. Good reverse logistics process indicates lot of reuse, recycling and reducing the material consumed, thereby ensuring sustainability. Improving reverse logistics will result in increase in sales up by 10%, a reduction in the supply chain costs by 25% to 40%. In retail sector the profit margins are less and strengthening reverse logistics can increase the profit margins. This paper attempts to inquire into the reverse logistics area and come out with the prioritised variables impacting the different reverse logistics disposition decision. The paper attempts to propose a conceptual model for reverse logistics disposition decision. Journal: Int. J. of Logistics Systems and Management Pages: 353-382 Issue: 3 Volume: 33 Year: 2019 Keywords: supply chain management; closed loop supply chain management; reverse logistics. File-URL: http://www.inderscience.com/link.php?id=101160 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:353-382 Template-Type: ReDIF-Article 1.0 Author-Name: Alireza Alinezhad Author-X-Name-First: Alireza Author-X-Name-Last: Alinezhad Author-Name: Abolfazl Kazemi Author-X-Name-First: Abolfazl Author-X-Name-Last: Kazemi Author-Name: Mojgan Khorasani Author-X-Name-First: Mojgan Author-X-Name-Last: Khorasani Title: Presenting a model for decoupling points in supply chain networks Abstract: The decoupling point (DP) is gaining attention as a significant factor in design and management of supply chains. The DP divides the part of the supply chain oriented towards customer orders from the part which is based on forecast planning and it can be stated that DP separates production process from lean production system to agile system. So, we can use the advantages of both production systems. Position of the decoupling point is a key factor that influences the design and management of a supply chain. In this study, we describe determination of decoupling point as a multiobjective decision making (MODM) problem, and our objectives are minimisation of production cost and production delivery time and maximisation of customer satisfaction. We use NSGA II for determining Pareto optimal solution to extract some solution concepts. Finally, a numerical example is applied to validate applicability and feasibility of the proposed model and performance of the developed algorithm. Journal: Int. J. of Logistics Systems and Management Pages: 383-403 Issue: 3 Volume: 33 Year: 2019 Keywords: decoupling points; lean and agile production system; make-to-order and make-to-stock strategies; MTO and MTS strategies; multi objective decision making; MODM; NSGA II. File-URL: http://www.inderscience.com/link.php?id=101161 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:383-403 Template-Type: ReDIF-Article 1.0 Author-Name: Arash Shahin Author-X-Name-First: Arash Author-X-Name-Last: Shahin Author-Name: Behzad Masoomi Author-X-Name-First: Behzad Author-X-Name-Last: Masoomi Author-Name: Mohammad Ali Shafiei Author-X-Name-First: Mohammad Ali Author-X-Name-Last: Shafiei Title: Ranking the obstacles of green supply chain management using fuzzy approaches of TOPSIS and DEMATEL with a case study in a pharmaceutical industry Abstract: The aim of this study is to analyse and prioritise the obstacles of green supply chain management (GSCM) in the pharmaceutical industry. For this purpose, the obstacles of achieving GSCM have been identified and ranked via fuzzy TOPSIS and DEMATEL approaches. Statistical population consisted of 155 managers, employees and customers of Vetaque Pharmacy Company. Fuzzy DEMATEL technique has been employed for prioritising the obstacles and identifying their causalities. Findings indicate the first to third priorities as the lack of environmental knowledge; unbelief about environmental advantages and green production; and lack of government support in policy making consistent with the environment. The applied fuzzy DEMATEL approach resulted in segmenting obstacles into some meaningful portions in order to effectively facilitate decision making on prioritising obstacles for improvement. Journal: Int. J. of Logistics Systems and Management Pages: 404-419 Issue: 3 Volume: 33 Year: 2019 Keywords: green supply chain management; GSCM; pharmaceutical industry; obstacles; fuzzy TOPSIS; fuzzy DEMATEL. File-URL: http://www.inderscience.com/link.php?id=101163 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:404-419 Template-Type: ReDIF-Article 1.0 Author-Name: Warisa Wisittipanich Author-X-Name-First: Warisa Author-X-Name-Last: Wisittipanich Author-Name: Takashi Irohara Author-X-Name-First: Takashi Author-X-Name-Last: Irohara Author-Name: Piya Hengmeechai Author-X-Name-First: Piya Author-X-Name-Last: Hengmeechai Title: Truck scheduling problems in the cross docking network Abstract: Cross docking is a logistic management strategy for reducing storage level, inventory management cost, and customer delivery lead-time. In the large distribution network in which products are transferred through one or more cross docks, the decision of whether to synchronise inbound and outbound trucks for the whole network is crucial since it significantly impacts on supply chain performance. This study presents the novel mathematical model of truck scheduling problem in the cross docking network consisting of several cross docks and addresses the importance of synchronising the truck schedule in a network as a whole. The model is formulated as mixed integer programming (MIP) with an objective to find the optimal truck schedule and product transshipment to minimise the makespan. The results demonstrate that simultaneously optimising truck schedule throughout the network improves the solution quality compared to those obtained from models, that optimise the truck schedule in each cross dock sequentially. Journal: Int. J. of Logistics Systems and Management Pages: 420-439 Issue: 3 Volume: 33 Year: 2019 Keywords: multiple cross docking; cross docking network; truck scheduling; makespan. File-URL: http://www.inderscience.com/link.php?id=101164 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:420-439 Template-Type: ReDIF-Article 1.0 Author-Name: Fawaz Abdulmalek Author-X-Name-First: Fawaz Author-X-Name-Last: Abdulmalek Title: Modified Johnson rule for two-stage flowshop scheduling with random breakdowns Abstract: The two-stage flowshop assembly scheduling problem where there are <i>m</i> machines at the first stage and an assembly machine at the second stage is considered in this paper. In several real world service and production systems, there is more than one parallel machine at stage one and an assembly machine to assemble job components at stage two. The machines at stage one will be subjected to unsystematic breakdowns. The jobs order sequence into the flowshop will be based on three jobs ranking rules, Johnson rule, and two modified Johnson rule, namely Johnson largest rule and Johnson smallest rule. A simulation model of the two-machine flowshop then will be constructed in which both machines at stage one are subject to random failures. Three simulation experiments will be conducted to examine the effect of the job ranking rules on the makespan. The result showed that Johnson largest ranking rule gave the minimum makespan over the others. Journal: Int. J. of Logistics Systems and Management Pages: 591-600 Issue: 4 Volume: 33 Year: 2019 Keywords: flowshop scheduling; random breakdowns; Johnson rule; simulation. File-URL: http://www.inderscience.com/link.php?id=101791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:591-600 Template-Type: ReDIF-Article 1.0 Author-Name: Long Zheng Author-X-Name-First: Long Author-X-Name-Last: Zheng Author-Name: Pieter Beem Author-X-Name-First: Pieter Author-X-Name-Last: Beem Author-Name: Ki-Hwan G. Bae Author-X-Name-First: Ki-Hwan G. Author-X-Name-Last: Bae Title: Assessment of the physical internet enabled urban logistics using agent-based simulation Abstract: The physical internet (PI) is a new paradigm in logistics to aim for more efficiency and sustainability via the shared use of hubs and transports as well as the consolidation of shipments. This study investigates the potential of an open mobility web, designed on the principles of PI, in an urban area with e-commerce warehouses. Our motivation is to understand benefits gained by incorporating PI into existing logistics networks. To that aim, a multi-agent based simulation model is developed to demonstrate the efficacy of our proposed solution approach in this modelling framework. Four transportation scenarios simulate a range of advancements from the traditional logistics to PI. The computational results using real data indicate that the PI-enabled mobility web outperforms the traditional logistics on most performance measures of time and cost. We conclude with implications for logistics stakeholders, and discuss limitations and extensions of this study. Journal: Int. J. of Logistics Systems and Management Pages: 441-466 Issue: 4 Volume: 33 Year: 2019 Keywords: agent-based simulation; physical internet; urban logistics; interconnected transport logistics; freight transportation. File-URL: http://www.inderscience.com/link.php?id=101793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:441-466 Template-Type: ReDIF-Article 1.0 Author-Name: Janya Chanchaichujit Author-X-Name-First: Janya Author-X-Name-Last: Chanchaichujit Author-Name: Quynh Chi Pham Author-X-Name-First: Quynh Chi Author-X-Name-Last: Pham Author-Name: Albert Tan Author-X-Name-First: Albert Author-X-Name-Last: Tan Title: Sustainable supply chain management: a literature review of recent mathematical modelling approaches Abstract: This research maps and defines the modelling approaches and mathematical techniques that have been used in solving supply chain problems in various industries. An analysis of peer-reviewed research papers has been conducted through a comprehensive search of the literature published from 2010 to 2016. Therefore, mathematical tools and techniques utilised in sustainable supply chain management research in each industrial sector will be identified, thereby opening up directions for future research. This paper addresses the shortfalls in previous works which have not yet addressed the application of mathematical modelling approaches with an industry focus. In addition, this paper also provides a reliable source of information for future expansion in sustainable supply chain management literature and the decision-making process in different industries. Journal: Int. J. of Logistics Systems and Management Pages: 467-496 Issue: 4 Volume: 33 Year: 2019 Keywords: sustainable supply chain management; SSCM; mathematical modelling technique; simulation method; heuristic method; hybrid model; analytical model; mathematical programming; a literature; green supply chain management; GSCM; supply chain management; SCM. File-URL: http://www.inderscience.com/link.php?id=101794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:467-496 Template-Type: ReDIF-Article 1.0 Author-Name: Naleak Heng Author-X-Name-First: Naleak Author-X-Name-Last: Heng Author-Name: Navee Chiadamrong Author-X-Name-First: Navee Author-X-Name-Last: Chiadamrong Title: Enhanced optimal inventory control policies of perishable products in a retail business: a comparative simulation study under different cost structures Abstract: This paper experiments different replenishment policies of perishable products using simulation-based optimisation approach. The main contribution of this study is to recommend the best replenishment policy and whether enhancing a typical periodic review policy can lead to a better outcome. It was found that enhancing a typical periodic review policy with a backroom and a reorder level can lead to a higher net profit. In some instances, integrating both of them together can outperform implementing them alone, as they can complement each other. The finding also suggests that enhancing the base policy by screening out bad items before reaching the customers may not be so cost-effective if the removed items cannot be sold to generate extra revenue or the loss of goodwill is not the main concern. These findings can help shop managers to make right decisions on the optimal inventory policy in a certain situation under an uncertain environment. Journal: Int. J. of Logistics Systems and Management Pages: 497-524 Issue: 4 Volume: 33 Year: 2019 Keywords: perishable products; inventory control; retail businesses; replenishment policies; simulation-based optimisation. File-URL: http://www.inderscience.com/link.php?id=101795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:497-524 Template-Type: ReDIF-Article 1.0 Author-Name: Rajagopal Author-X-Name-First: Author-X-Name-Last: Rajagopal Author-Name: Ananya Rajagopal Author-X-Name-First: Ananya Author-X-Name-Last: Rajagopal Title: Impact of transaction costs on supply operations and price competitiveness in wholesale marketing: a study in reference to Mexico Abstract: Transaction costs make significant impact on determining the costs of logistics and inventory in companies marketing consumer wholesale products. Effective management of transaction cost helps companies ensure competitive prices, and induce loyalty among the consumers. This paper aims at analysing the transactions cost, and its relationship with wholesale prices. It critically examines the previous studies on transaction cost approach of wholesaler firms in reference to the cost incurred in their brands using 'direct-to-customer' strategy. Data in this study has been collected in reference to two large wholesale outlets in Mexico City. This study reveals that wholesaler brands are price competitive and effectively reduce the uncertainty of supplies as they address the existing demand in the market. The wholesale brands largely meet the price expectation of consumers and enhance their satisfaction level. Large wholesaling firms reduce their transaction costs by lowering the margin spread among the suppliers, and obtaining supplies from a limited number of suppliers nationwide. Journal: Int. J. of Logistics Systems and Management Pages: 525-542 Issue: 4 Volume: 33 Year: 2019 Keywords: transaction cost; wholesale price; logistics cost; inventory management; customer satisfaction; Mexico. File-URL: http://www.inderscience.com/link.php?id=101796 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:525-542 Template-Type: ReDIF-Article 1.0 Author-Name: Treephis Rodbundith Author-X-Name-First: Treephis Author-X-Name-Last: Rodbundith Author-Name: Kamonchanok Suthiwartnarueput Author-X-Name-First: Kamonchanok Author-X-Name-Last: Suthiwartnarueput Author-Name: Pongsa Pornchaiwiseskul Author-X-Name-First: Pongsa Author-X-Name-Last: Pornchaiwiseskul Title: A study of criteria for air cargo terminal classification model Abstract: For global air cargo movement from airport to airport, the air cargo terminal is a key success factor of airlines and air cargo transport. This study is aimed to explore important criteria at air cargo terminals on the new integration of relevant and reviewed variables from academic researches and International Air Transport Association's regulated standards. To examine variables, the investigation of criteria significance is based on opinion and endorsed by 57 air cargo terminal operators covering 474 terminals around the world. Thereafter, the methodology is to evaluate the endorsed criteria and employs principal component analysis for criteria reduction onto correlation and similarity conditions by factor loading scores above 0.6. The remaining criteria are finally re-validated by aviation experts executed into nine main criteria with 44 sub-criteria. Moreover, the finding of air cargo terminal classification model is tested to cluster air cargo terminals in Thailand's major airports with the results of three classifications. Also, guidelines with factor loading scores from significant criteria are developed for air cargo industry for business investment and decision making purposes. Journal: Int. J. of Logistics Systems and Management Pages: 543-567 Issue: 4 Volume: 33 Year: 2019 Keywords: air cargo terminal; criteria and classification; cluster analysis; International Air Transport Association; principal component analysis; PCA. File-URL: http://www.inderscience.com/link.php?id=101797 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:543-567 Template-Type: ReDIF-Article 1.0 Author-Name: Jirasak Ji Author-X-Name-First: Jirasak Author-X-Name-Last: Ji Author-Name: Narameth Nananukul Author-X-Name-First: Narameth Author-X-Name-Last: Nananukul Title: Supply chain for sustainable renewable energy from biomass Abstract: A sustainable-energy policy requires the development of economical and sustainable renewable energy systems. This research focuses on the feasibility of developing a sustainable resource supply chain plan, by using available biomass as a resource for producing electricity in the Loei province, Thailand. A mathematical model has been proposed to determine suitable locations for the biomass power plants, the optimal biomass production, and supplier allocation that result in the lowest operating cost to meet the electricity demand. The availability of different types of biomass, different modes of transportation, and electricity consumption in the Loei province is used to develop the optimisation model. An extended model is also proposed to deal with the perishability of biomass. The proposed models can be used and applied by decision makers to perform different types of analysis in order to assist decision making on the location of biomass plants as well as in the distribution plan. Journal: Int. J. of Logistics Systems and Management Pages: 568-590 Issue: 4 Volume: 33 Year: 2019 Keywords: biomass; supply chain optimisation; biomass power generation; Loei; Thailand. File-URL: http://www.inderscience.com/link.php?id=101798 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:33:y:2019:i:4:p:568-590 Template-Type: ReDIF-Article 1.0 Author-Name: Tarek Al-Hawari Author-X-Name-First: Tarek Author-X-Name-Last: Al-Hawari Author-Name: Khalid Aram Author-X-Name-First: Khalid Author-X-Name-Last: Aram Author-Name: Hazem Smadi Author-X-Name-First: Hazem Author-X-Name-Last: Smadi Title: Cost-based evaluation of different processing rules for backlog and load-building queues in multi-echelon supply chains Abstract: Backlog and load-building queues introduce delay to supply chains which increase the expected lead time of orders. This study aims to investigate the effects of implementing priority rules on backlog and load-building queues, and the effects of applying different load-building methods on the performance of multi-echelon supply chains based on cost and time measures. Further, the study discovers the impact of improving the lead time of orders on the total cost of multi-echelon supply chains. The study was applied on a two-echelon distribution network that includes one central warehouse, six retailers, and four item types. Customer satisfaction costs were incorporated in the cost structure of the studied network through applying penalties on untimely order deliveries based on delivery windows. A discrete-event simulation model was used to run multiple scenarios of implementing queue priority rules and load-building methods. Results indicated that applying priority rule on backlog queues and altering load building methods are effective in decreasing the average lead time of orders, while they had minimal impact on the total cost of retailers. Journal: Int. J. of Logistics Systems and Management Pages: 1-28 Issue: 1 Volume: 34 Year: 2019 Keywords: multi-echelon supply chains; simulation; load building; backlog; delivery windows. File-URL: http://www.inderscience.com/link.php?id=102061 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:1-28 Template-Type: ReDIF-Article 1.0 Author-Name: Rendy Surya Saga Author-X-Name-First: Rendy Surya Author-X-Name-Last: Saga Author-Name: Wakhid Ahmad Jauhari Author-X-Name-First: Wakhid Ahmad Author-X-Name-Last: Jauhari Author-Name: Pringgo Widyo Laksono Author-X-Name-First: Pringgo Widyo Author-X-Name-Last: Laksono Author-Name: Anindya Rachma Dwicahyani Author-X-Name-First: Anindya Rachma Author-X-Name-Last: Dwicahyani Title: Investigating carbon emissions in a production-inventory model under imperfect production, inspection errors and service-level constraint Abstract: This paper discusses an integrated inventory model for vendor-buyer system with stochastic demand and service-level constraint. The buyer's demand follows a normal distribution and the lead time depends upon lot size. The buyer uses a periodic review policy to manage the inventory level. An imperfect production processes and inspection errors are considered in the model. Carbon emissions and energy impacts which are generated from transportation activity and production activity are also included in the model. An incentive and penalty policy are adopted to reduce the carbon emissions generated from supply chain system. The model contributes to the current literature by allowing the inclusion of imperfect production, inspection errors, carbon emissions and setup cost reduction. The objective of the model is to determine the review period, setup cost and the number of deliveries so that the total cost incurred has the minimum value. An iterative procedure is suggested to solve the model. A numerical example and sensitivity analysis are performed to illustrate the application of the model and to show the impact of the changes of key parameters on model behaviour. Journal: Int. J. of Logistics Systems and Management Pages: 29-55 Issue: 1 Volume: 34 Year: 2019 Keywords: service-level constraint; carbon emission; imperfect production inspection errors; periodic review. File-URL: http://www.inderscience.com/link.php?id=102062 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:29-55 Template-Type: ReDIF-Article 1.0 Author-Name: Mariana Guersola Author-X-Name-First: Mariana Author-X-Name-Last: Guersola Author-Name: Maria Teresinha Steiner Author-X-Name-First: Maria Teresinha Author-X-Name-Last: Steiner Author-Name: Cassius Scarpin Author-X-Name-First: Cassius Author-X-Name-Last: Scarpin Title: Customers scheduling and clustering as vendor managed inventory enablers Abstract: The vendor managed inventory (VMI) implementation brings advantages to both vendors and customers, improving service levels and transportation efficiency. This paper aims to propose a two stages methodology to enable the VMI implementation without electronic data interchange. First, an algorithm is proposed to determine which customers to attend daily, respecting their needs and restrictions while seeking for economies of scale. Then an iterated local search metaheuristic, adapted to the capacitated <i>p</i>-median problem is proposed to divide the customers into the available trucks. The methodology was applied to a gas distribution case study. Results shown a 20.16% increase in the average quantity of gas delivered per customer, a drop over 90% in delivery delays and a reduction of 31.8% in clusters distances. These results demonstrate that the methodology improves the reliability of the distribution system, ensuring that the VMI implementation brings advantages to all parts involved. Journal: Int. J. of Logistics Systems and Management Pages: 56-74 Issue: 1 Volume: 34 Year: 2019 Keywords: vendor managed inventory; VMI; electronic data interchange; EDI; capacitated p-median problem; iterated local search; ILS; transportation management; economies of scale; distances reduction; delivery system; liquefied petroleum gas; LPG; functional product. File-URL: http://www.inderscience.com/link.php?id=102063 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:56-74 Template-Type: ReDIF-Article 1.0 Author-Name: Zilla Sinuany-Stern Author-X-Name-First: Zilla Author-X-Name-Last: Sinuany-Stern Author-Name: Doron Alper Author-X-Name-First: Doron Author-X-Name-Last: Alper Title: Factors affecting police station efficiency: DEA in police logistics Abstract: This study identifies factors affecting police station performance in Israel. In the first stage, data envelopment analysis (DEA) was used to measure the relative efficiency of 60 police stations, based on two inputs and 16 outputs, including several logistic parameters. In the second stage, a cross-efficiency (CE) measure was then used to rank-scale police stations. We show that CE, which is calculated as the average of its evaluations using the weights of all stations, has a normal distribution. In the third stage, multiple regressions were performed to verify the effect of various logistic and environmental factors on CE efficiency (from the second stage). We found that one logistical factor, the number of vehicles of the population in a station's jurisdiction, was statistically significant. We show that the use of CE in the regression analysis offers a novel approach for dealing with stochastic DEA. Journal: Int. J. of Logistics Systems and Management Pages: 75-101 Issue: 1 Volume: 34 Year: 2019 Keywords: efficiency; logistics; data envelopment analysis; DEA; police; police performance; productivity; benchmark; linear programming; statistical inference; performance; regression analyses; Israel. File-URL: http://www.inderscience.com/link.php?id=102064 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:75-101 Template-Type: ReDIF-Article 1.0 Author-Name: Khaled Bahloul Author-X-Name-First: Khaled Author-X-Name-Last: Bahloul Title: A new replenishment policy based on emergency orders for a family of products Abstract: This paper considers a two-echelon supply chain with several distribution centres (DCs) and a number of retailers or consumption centres (CCs). Several products are managed and supplied in this chain, but we focus on a family of perishable products (drugs) with a high cost, particularly variable demand and transiting from the same supplier to the same consumption centres. We also assume that the suppliers have an unlimited stock, the delivery time is close to zero (a few hours) and shortages are not authorised at the CCs. In this case, where the constitution of a large safety stock (SS) is not cost-effective, we propose a new ordering policy based on 'replenishment driven by shortage'. This method consists in waiting for a shortage of one product, triggering an emergency order for this product and, at the same time, replenishing other items of the same family. This replenishment policy is based on the mathematical function for calculating the optimal level of each product of the same family by using the probability of not having any shortage before time <i>t</i>. Numerical experimentation compares the total expected costs of the proposed method with a traditional order-up-to-level policy. Journal: Int. J. of Logistics Systems and Management Pages: 102-122 Issue: 1 Volume: 34 Year: 2019 Keywords: ordering policies; inventory management; emergency order; family of products; cost effectiveness. File-URL: http://www.inderscience.com/link.php?id=102065 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:102-122 Template-Type: ReDIF-Article 1.0 Author-Name: Alireza Shiranifar Author-X-Name-First: Alireza Author-X-Name-Last: Shiranifar Author-Name: Mohamadhossein Rahmati Author-X-Name-First: Mohamadhossein Author-X-Name-Last: Rahmati Author-Name: Farbod Jafari Author-X-Name-First: Farbod Author-X-Name-Last: Jafari Title: Linking IT to supply chain agility: does knowledge management make a difference in SMEs? Abstract: The purpose of this paper is to examine how information technology (IT) and knowledge management affect supply chain agility in a small and medium-sized enterprises (SMEs) context. Drawing on SMEs, this study hypothesises and tests the relationship between IT and knowledge management and supply chain agility. Partial least squares-structural equation modelling (PLS-SEM) is performed to test the relationship between the research variables. The results obtained from SEM reveal that IT positively affects knowledge management. The results also indicate that knowledge management and IT significantly affect the dimensions of supply chain agility (demand response, customer responsiveness and joint planning). Journal: Int. J. of Logistics Systems and Management Pages: 123-138 Issue: 1 Volume: 34 Year: 2019 Keywords: information technology; knowledge management; supply chain management; supply chain agility; demand response; customer responsiveness; joint planning; medium-sized enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=102066 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:1:p:123-138 Template-Type: ReDIF-Article 1.0 Author-Name: Loiy Bani Ismail Author-X-Name-First: Loiy Bani Author-X-Name-Last: Ismail Author-Name: Mohammad Alawamleh Author-X-Name-First: Mohammad Author-X-Name-Last: Alawamleh Author-Name: Khaled Aladwan Author-X-Name-First: Khaled Author-X-Name-Last: Aladwan Author-Name: Ammar Abu Alragheb Author-X-Name-First: Ammar Abu Author-X-Name-Last: Alragheb Title: The relationship between green SCM practices and organisational performance: evidence from Jordanian pharmaceutical manufacturers Abstract: This paper seeks to explore the effect of green supply chain management practices (GSCMPs) (reverse logistics and green procurement, manufacturing and distribution practices) on the organisational performance (OP) of pharmaceutical manufacturers in Jordan. A questionnaire was designed and distributed randomly among 100 employees of Jordanian pharmaceutical manufacturing organisations. A total of 88 responses were received, of which 79 were usable. The study moves beyond description of the effects of GSCMPs on Op to offer a theoretical model explaining these effects. Thus, it responds to a number of contemporary challenges in Jordan, most importantly the broad need for a solid organisational foundation for the study of GSCMPs and the explanation of mechanisms through which GSCMPs affect OP. The results indicate clearly that GSCMPs collectively and individually affect OP. Journal: Int. J. of Logistics Systems and Management Pages: 172-192 Issue: 2 Volume: 34 Year: 2019 Keywords: green supply chain management; GSCM; SCM; organisational performance; OP; green procurement; green manufacturing; reverse logistics; RL. File-URL: http://www.inderscience.com/link.php?id=102209 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:172-192 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Author-Name: Yong-Kon Lim Author-X-Name-First: Yong-Kon Author-X-Name-Last: Lim Author-Name: Jong-Won Park Author-X-Name-First: Jong-Won Author-X-Name-Last: Park Title: An integrated terminal operating system for enhancing the port security Abstract: As a vital link in the global supply chain, which dictates the movement and storage of cargo containers at the entry point of a seaport, a seaport terminal can have a profound impact on port security. In particular, a lack of business intelligence about containerised cargo flows coupled with the failure to inspect containerised cargo can cause serious security problems, because unmonitored cargo containers can be used as a tool for bringing illicit contents into the port of entry. To prevent or mitigate any illegal activities associated with containerised cargo flows, we propose an integrated terminal operating system (ITOS) that can trace and monitor every single movement and storage of incoming cargo containers, while coordinating and synchronising the entire terminal operations. In addition, we embed the ITOS within the business analytics framework, while formulating viable strategic options for enhancing the securities of terminal operating companies and their multiple stakeholders. Journal: Int. J. of Logistics Systems and Management Pages: 193-210 Issue: 2 Volume: 34 Year: 2019 Keywords: global supply chain risk; port security; technology management; maritime logistics. File-URL: http://www.inderscience.com/link.php?id=102211 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:193-210 Template-Type: ReDIF-Article 1.0 Author-Name: Michael Dreyfuss Author-X-Name-First: Michael Author-X-Name-Last: Dreyfuss Author-Name: Alan Stulman Author-X-Name-First: Alan Author-X-Name-Last: Stulman Title: Cannibalisation in a repair/replacement inventory system Abstract: In this paper we consider policies for cannibalisation in a repair/replacement inventory system where our focus will be the waiting time of a customer in the repair queue. The cannibalisation policy will be affected most by the time required to effect the cannibalisation and specifically the time required in disassembling the functioning components from the newly arrived customer. The problem we wish to address is when cannibalisation should be carried out when the environment is too complex for an analytic result. We examine two heuristic approaches, which may give good results. We will first present a heuristic policy which is calculation intensive and a second heuristic which will require far less calculations at each decision point in time. These heuristics, and a comparison between them, will be examined with the aid of simulation. Journal: Int. J. of Logistics Systems and Management Pages: 139-153 Issue: 2 Volume: 34 Year: 2019 Keywords: cannibalisation; waiting time; heuristic; simulation. File-URL: http://www.inderscience.com/link.php?id=102212 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:139-153 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Bonyadi Naeini Author-X-Name-First: Ali Bonyadi Author-X-Name-Last: Naeini Author-Name: Amirhossein Abaee Author-X-Name-First: Amirhossein Author-X-Name-Last: Abaee Author-Name: Mehdi Zamani Author-X-Name-First: Mehdi Author-X-Name-Last: Zamani Title: Designing a business intelligence conceptual model of supply chain management in sales-based SMEs Abstract: Nowadays, in SMEs, especially the ones highly dependent on sales of products or services, supply chain management has a decisive and critical role for managers to make intelligent decisions and have high agility to utilise the opportunities in a very competitive environment. Identification of important and effective concepts and aspects in the scope of SCM in such enterprises to enhance the intelligence of managers in decision making processes is the purpose of this paper. In this research, by applying the grounded theory in the literature review and structural equation modelling (SEM) approach, the relations of main variables are validated thru focus groups and questionnaires and the results have been statistically analysed to develop a conceptual model. Therefore, with the aid of this model, the business managers will be directed to dedicate their efforts to enhance their business intelligence on the identified variables of the model to make intelligent supply chain oriented decisions. Journal: Int. J. of Logistics Systems and Management Pages: 154-171 Issue: 2 Volume: 34 Year: 2019 Keywords: business intelligence; supply chain management; decision making; structural equation modelling; SME. File-URL: http://www.inderscience.com/link.php?id=102213 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:154-171 Template-Type: ReDIF-Article 1.0 Author-Name: Ratri Amelia Aisyah Author-X-Name-First: Ratri Amelia Author-X-Name-Last: Aisyah Author-Name: Badri Munir Sukoco Author-X-Name-First: Badri Munir Author-X-Name-Last: Sukoco Author-Name: Muslich Anshori Author-X-Name-First: Muslich Author-X-Name-Last: Anshori Title: The effect of relational capital on performance: knowledge sharing as mediation variables in supplier and buyer relation Abstract: Interactions that occur in cooperation within supplier and buyer relationships create good relationships manifested by mutual trust and respect, and good friendships between suppliers and buyers. Relationships based on good intentions and manifested through a number of attributes are known as relational capital. Relationships built on trust, to the cause of friendship between suppliers and buyers mutual respect and reciprocity are what makes the buyer willing to share knowledge with the supplier. Given this shared knowledge, suppliers can help improve buyer performance. Thus, this study aims to examine the effect of relational capital on performance through knowledge sharing into mediation variables. This research uses a quantitative approach to test several hypotheses through partial least square (PLS) analysis, and examines a sample of 48 buyers within the cement industry. The results of this study indicate that relational capital positively and significantly influences knowledge sharing, which then positively and significantly affects the buyer's performance. However, relational capital has no significant effect on buyer performance. Knowledge sharing mediates in full relational capital relationships to buyer performance. Journal: Int. J. of Logistics Systems and Management Pages: 211-232 Issue: 2 Volume: 34 Year: 2019 Keywords: relational capital; knowledge sharing; buyer's performance. File-URL: http://www.inderscience.com/link.php?id=102214 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:211-232 Template-Type: ReDIF-Article 1.0 Author-Name: Simone Zanoni Author-X-Name-First: Simone Author-X-Name-Last: Zanoni Author-Name: Lucio Enrico Zavanella Author-X-Name-First: Lucio Enrico Author-X-Name-Last: Zavanella Author-Name: Ivan Ferretti Author-X-Name-First: Ivan Author-X-Name-Last: Ferretti Title: Inventory models for maturing and ageing items: cheese and wine storage Abstract: The greatest part of literature on inventory models deals with items that preserve their value over time or at least, deteriorate over time. This paper focuses on a special class of items (defined as 'maturing/ageing items') characterised by the increase of their value over time, when appropriately stored: e.g., items which improve their organoleptic and tasteful characteristics over time. The cases which inspired the present contribution belong to food production and supply, as in the case of matured cheeses (e.g., the well known Grana Padano), aged red wines (e.g., the well known Barolo) and aged spirits that, once bottled, acquire value over time. However, other types of products characterised by a 'maturing/ageing' process could be further identified. The present study introduces and discusses the inventory problem for this class of items, highlighting its peculiarities and its most relevant features. So as to focus on the several and attractive aspects which characterise the problem considered, an illustrative model is presented, with the aim of identifying the optimal maturing/ageing period. Journal: Int. J. of Logistics Systems and Management Pages: 233-252 Issue: 2 Volume: 34 Year: 2019 Keywords: inventory; ageing; maturing; cheese storage; wine storage; amelioration. File-URL: http://www.inderscience.com/link.php?id=102215 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:233-252 Template-Type: ReDIF-Article 1.0 Author-Name: Saeede Khalafi Author-X-Name-First: Saeede Author-X-Name-Last: Khalafi Author-Name: Mahnaz Zarei Author-X-Name-First: Mahnaz Author-X-Name-Last: Zarei Title: Design of a green supply chain network by considering the possibility of storage and location-routing problem under uncertainty Abstract: In the literature of operations research, the subject of transportation of products and services and specifically, the vehicle routing problem (VRP) have always been on priority as an important field of study. To date, a large number of studies have been done in the field of VRP and its different types, but only few of them have looked at the problem from the perspective of environmental factors. In this paper, considering the importance of environmental issues, a model has been designed for a single-objective green routing problem. Such items as discount, heterogeneous vehicles and multi-depot distribution centres have been considered in this model, which has been designed in the form of a multi-product and multi-periodic model. Then, the effectiveness of the proposed model was illustrated using the problems generated in different dimensions by means of GAMS software. At the end, the accuracy of the proposed model under uncertainty was evaluated through sensitivity analysis and the obtained results were indicative of the effectiveness and efficiency of the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 253-268 Issue: 2 Volume: 34 Year: 2019 Keywords: green supply chain; location routing problem; LRP; mathematical programming; fuzzy theory. File-URL: http://www.inderscience.com/link.php?id=102216 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:2:p:253-268 Template-Type: ReDIF-Article 1.0 Author-Name: Pietro Evangelista Author-X-Name-First: Pietro Author-X-Name-Last: Evangelista Author-Name: Lodovico Santoro Author-X-Name-First: Lodovico Author-X-Name-Last: Santoro Author-Name: Jukka Hallikas Author-X-Name-First: Jukka Author-X-Name-Last: Hallikas Author-Name: Anni-Kaisa Kähkönen Author-X-Name-First: Anni-Kaisa Author-X-Name-Last: Kähkönen Author-Name: Katrina Lintukangas Author-X-Name-First: Katrina Author-X-Name-Last: Lintukangas Title: Greening logistics outsourcing: reasons, actions and influencing factors Abstract: This paper explores the environmental practices carried out in the transport and logistics industry. The study assumes the third-party logistics (3PLs) provides perspective and it examines reasons, green initiatives and factors affecting such initiatives. The research involved a case study analysis conducted on 31 Italian 3PLs. The approach used assumes that green initiatives implemented by 3PLs depend from different reasons. Accordingly, three clusters of companies characterised by different environmental sensitivity were identified. The results indicate that each of the three clusters is characterised by different environmental sensitivity, significant differences about the adoption of green initiatives and different influencing factors. The study findings allow to draw a number of managerial recommendations for improving the environmental sustainability of logistics outsourcing and potential future research avenues. Journal: Int. J. of Logistics Systems and Management Pages: 269-296 Issue: 3 Volume: 34 Year: 2019 Keywords: logistics service providers; reasons; green actions; drivers; inhibitors; Italian logistics service market; case study analysis. File-URL: http://www.inderscience.com/link.php?id=103084 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:269-296 Template-Type: ReDIF-Article 1.0 Author-Name: Saâdia Khoukhi Author-X-Name-First: Saâdia Author-X-Name-Last: Khoukhi Author-Name: Chakib Bojji Author-X-Name-First: Chakib Author-X-Name-Last: Bojji Author-Name: Yahya Bensouda Author-X-Name-First: Yahya Author-X-Name-Last: Bensouda Title: A review of medical distribution logistics in pharmaceutical supply chain Abstract: The management of inventories and distribution networks of medical supplies are among the most important issues in the healthcare world. Indeed, medicine shortage cannot only result in financial losses but can also endanger a patient's life. Thus, many hospitals transfer managerial practices developed in the industrial sector to the healthcare environment. This paper presents a literature of operations research models developed for inventory control and distribution management across the pharmaceutical supply chain. For that purpose, this work begins by classifying the reviewed articles into three groups: 1) inventory management; 2) transportation management; 3) coordination between inventory control and distribution activities. Starting from an analysis of current literature we intend to discuss different modes of pharmaceutical supply chain coordination. Also, in doing so, we point out potential future research directions. Finally, we shed light on different barriers faced by practitioners when implementing supply chain management philosophy in the pharmaceutical supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 297-326 Issue: 3 Volume: 34 Year: 2019 Keywords: pharmaceutical supply chain; OR models; inventory management; routing problems; combined inventory and routing problems; coordination; optimisation; mathematical programming; healthcare management; operational research. File-URL: http://www.inderscience.com/link.php?id=103085 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:297-326 Template-Type: ReDIF-Article 1.0 Author-Name: Sundaravalli Narayanaswami Author-X-Name-First: Sundaravalli Author-X-Name-Last: Narayanaswami Title: Optimal allocation of rolling stock in scheduled transportation services Abstract: Passenger railway transportation services are operated in cyclic periodicities for urban and long distance traffic. Cabins and locomotives (rakes) are assigned to each service for specified time duration to operationalise timetables. Such resource allocations are generally constrained and incur cost, each in travel time, empty cabin runs and rake compositions. Some constraints are safety related and others are desirable for performance improvement. Resource utilisation is effective, if demands are met; efficient, if utilisation cost is minimum. A multi-commodity network flow model is presented to optimally allocate rolling stock, to fulfil demands at minimum operational cost. However, the model is computationally expensive and a relaxed model using simulation based heuristic is presented. Real data from Indian railways is used for testing. The problem context, model, heuristic approach and solutions are reported. Managerial insights that emerged from this empirical study are interesting; we present them along with limitations and possible extensions. Journal: Int. J. of Logistics Systems and Management Pages: 327-351 Issue: 3 Volume: 34 Year: 2019 Keywords: OR in service industries; rolling stock; optimal allocation; network flow model; simulation-based heuristic. File-URL: http://www.inderscience.com/link.php?id=103087 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:327-351 Template-Type: ReDIF-Article 1.0 Author-Name: Nicolas Clavijo Buriticá Author-X-Name-First: Nicolas Clavijo Author-X-Name-Last: Buriticá Author-Name: Mónica Yoshida Matamoros Author-X-Name-First: Mónica Yoshida Author-X-Name-Last: Matamoros Author-Name: Felipe Castillo Author-X-Name-First: Felipe Author-X-Name-Last: Castillo Author-Name: Esteban Araya Author-X-Name-First: Esteban Author-X-Name-Last: Araya Author-Name: Gerardo Ahumada Author-X-Name-First: Gerardo Author-X-Name-Last: Ahumada Author-Name: Gustavo Gatica Author-X-Name-First: Gustavo Author-X-Name-Last: Gatica Title: Selection of supplier management policies using clustering and fuzzy-AHP in the retail sector Abstract: Supplier development contributes to supply chain integration and performance, thus playing an essential role in any industry. In the retail market, no formal procedures exist for the selection-assignment of supplier development programs, meaning that respective management is complex and unclear given actor and requirement heterogeneities. Multi-criteria techniques are currently used for selection and evaluation processes. However, no models exist that integrate clustering and multi-criteria techniques together to efficiently select-assign supplier development programs. This study proposes a four-phase methodology - diagnosis, program design, assignment, and proposal - that considers supplier clustering through K-means and multi-criteria fuzzification. Additionally, case-study analysis of 149 retail suppliers in Colombia clustered businesses into high (8), medium (32), and low (109) risk sets, each of which was assigned tailored development programs. The obtained results support use of the proposed methodology to improve supply chain performance for organisations with many suppliers requiring development programs. Journal: Int. J. of Logistics Systems and Management Pages: 352-374 Issue: 3 Volume: 34 Year: 2019 Keywords: fuzzy logic; multiple criteria analysis; analytic hierarchy process; supplier selection; retail; clustering. File-URL: http://www.inderscience.com/link.php?id=103089 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:352-374 Template-Type: ReDIF-Article 1.0 Author-Name: Bhaskar B. Gardas Author-X-Name-First: Bhaskar B. Author-X-Name-Last: Gardas Author-Name: Rakesh D. Raut Author-X-Name-First: Rakesh D. Author-X-Name-Last: Raut Author-Name: Ayush Shrivastav Author-X-Name-First: Ayush Author-X-Name-Last: Shrivastav Title: Efficient supplier selection - a three-stage multi-criteria decision-making approach Abstract: The qualitative and quantitative factors influence the supplier selection problem. The selection of an efficient supplier is a difficult task and is a multi-criteria decision-making problem. In the present study, a three-stage analytic hierarchy process (AHP)-technique for order preference by similarity to ideal solution (TOPSIS)-goal programming (GP) was employed for the evaluation and selection of suppliers. AHP was used for identifying relative weight of the selection criteria then these weights were taken as input for TOPSIS methodology for ranking the shortlisted suppliers. GP was used for the quantity allocation. This study is intended to guide the organisational managers in formulating the effective policies and strategies for the effective supplier selection process in the competitive environment. Journal: Int. J. of Logistics Systems and Management Pages: 375-394 Issue: 3 Volume: 34 Year: 2019 Keywords: supplier selection; multi-criteria decision-making; MCDM; analytic hierarchy process; AHP; TOPSIS; goal programming. File-URL: http://www.inderscience.com/link.php?id=103090 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:375-394 Template-Type: ReDIF-Article 1.0 Author-Name: Siwaporn Kunnapapdeelert Author-X-Name-First: Siwaporn Author-X-Name-Last: Kunnapapdeelert Author-Name: Ratchaphong Klinsrisuk Author-X-Name-First: Ratchaphong Author-X-Name-Last: Klinsrisuk Title: Determination of green vehicle routing problem via differential evolution Abstract: This paper presents the comparison of pickup and delivery with time window (PDPTW) and green vehicle routing for pickup and delivery problems, with time windows (Green-PDPTW) by using differential evolution (DE) algorithm. The main idea of PDPTW is to design the optimal route for transportation by minimising the total cost. Green-PDPTW aims to design the route by minimising the emission of direct greenhouse gases, i.e., carbon dioxide (CO<SUB align="right"><SMALL>2</SMALL></SUB>), methane (CH<SUB align="right"><SMALL>4</SMALL></SUB>), and nitrous oxide (N<SUB align="right"><SMALL>2</SMALL></SUB>O). These two concepts were verified by eight standard benchmark instances. DE algorithm is proposed to design the optimal route for these two problems. The computational experiments demonstrate that designing route by minimising greenhouse gases emission provides cleaner routes than designing routes by minimising total cost. However, it is not as economical as considering the minimum total cost as the objective function since it requires more vehicles and total distance than route that designed based on the minimum total cost concept. Journal: Int. J. of Logistics Systems and Management Pages: 395-410 Issue: 3 Volume: 34 Year: 2019 Keywords: differential evolution; DE; vehicle routing problem; VRP; transportation; green logistics. File-URL: http://www.inderscience.com/link.php?id=103091 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:3:p:395-410 Template-Type: ReDIF-Article 1.0 Author-Name: Henrique Ewbank Author-X-Name-First: Henrique Author-X-Name-Last: Ewbank Author-Name: Peter Wanke Author-X-Name-First: Peter Author-X-Name-Last: Wanke Author-Name: Henrique L. Correa Author-X-Name-First: Henrique L. Author-X-Name-Last: Correa Author-Name: Otávio Figueiredo Author-X-Name-First: Otávio Author-X-Name-Last: Figueiredo Title: The capacitated vehicle routing problem revisited: using fuzzy c-means clustering Abstract: This paper proposes to simplify complex distribution scenarios and find near-optimal solutions by applying a heuristic approach for solving the capacitated vehicle routing problem with a homogeneous fleet using fuzzy c-means as the clustering technique. A memetic algorithm determines the number of clusters and an improved fuzzy c-means algorithm allocates customers to routes. When benchmarked with other methods and compared with 50 known instances from the literature, it indicated an error average of less than 3%. Due to the nature of the errors studied, a tobit regression has been applied to predict the average percent error in terms of the characteristics of the demand and the distance of each customer. Results also suggest that kurtosis and skewness of the distances among all customers, capacity of the vehicles and standard deviation of the demand could be used to predict the average percent error. Journal: Int. J. of Logistics Systems and Management Pages: 411-430 Issue: 4 Volume: 34 Year: 2019 Keywords: capacitated vehicle routing problem; CVRP; cluster-first route-second heuristic; fuzzy logic; homogeneous fleet; tobit regression. File-URL: http://www.inderscience.com/link.php?id=103513 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:411-430 Template-Type: ReDIF-Article 1.0 Author-Name: Maria Giuffrida Author-X-Name-First: Maria Author-X-Name-Last: Giuffrida Author-Name: Riccardo Mangiaracina Author-X-Name-First: Riccardo Author-X-Name-Last: Mangiaracina Author-Name: Giovanni Miragliotta Author-X-Name-First: Giovanni Author-X-Name-Last: Miragliotta Author-Name: Sara Perotti Author-X-Name-First: Sara Author-X-Name-Last: Perotti Author-Name: Angela Tumino Author-X-Name-First: Angela Author-X-Name-Last: Tumino Title: Modelling the environmental impact of omni-channel purchasing in the apparel industry: the role of logistics Abstract: This paper addresses an identified need of quantitative models in the rising field of omni-channel (OC) purchasing sustainability. It contributes with a detailed assessment of the environmental impact of two processes, click and collect (C%C) and mobile shopping in store (MSiS), highlighting the weight of logistics activities. An activity-based model is developed and applied to a base case, that best represents the average purchasing process in the apparel industry, considering both the retailer's and the customer's perspectives. Sensitivity analyses are performed as well. Results show that MSiS is less sustainable than C%C, mainly due to the heavier impact of transport. For both configurations, the most critical parameter is the distance between the customer house and the store, whereas the customer profile and the location of the customer house (urban vs. extra-urban area) are additional significant factors for MSiS. The results of this study are also compared to previous research in the field of e-commerce environmental sustainability. Journal: Int. J. of Logistics Systems and Management Pages: 431-456 Issue: 4 Volume: 34 Year: 2019 Keywords: omni-channel; environmental sustainability; logistics; click and collect; mobile shopping in store. File-URL: http://www.inderscience.com/link.php?id=103514 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:431-456 Template-Type: ReDIF-Article 1.0 Author-Name: Satyendra Kumar Sharma Author-X-Name-First: Satyendra Kumar Author-X-Name-Last: Sharma Author-Name: Ravinder Singh Author-X-Name-First: Ravinder Author-X-Name-Last: Singh Author-Name: Vishad Bhalotia Author-X-Name-First: Vishad Author-X-Name-Last: Bhalotia Title: Development of an automobile industry risk index Abstract: The aim of this research is to construct a Bayesian belief network (BBN) model, which encompasses all the risk factors relevant to the Indian automotive sector that can give a fair, empirical idea as to how much the risk factors drive down the gross turnover of the industry. The BBN model is used to gauge business, economic and external risks and evaluate its impact on gross turnover of the industry. Empirical model draws a lot of implications to streamline the risk effects in the industry, but it clearly shows that the three factors - business risks, economic risks and external risks are not entirely independent and are positively correlated with each other. Bayesian networks provide a very useful risk assessment tool that takes into account the advantages of both quantitative and qualitative risk assessment methods. This is a novel, empirical effort to provide a generalised model to integrate all risks - domestic, global, economic, legal - relevant to the automotive industry. Journal: Int. J. of Logistics Systems and Management Pages: 457-485 Issue: 4 Volume: 34 Year: 2019 Keywords: risk assessment; automobile industry; Bayesian belief network; risk propagation; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=103515 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:457-485 Template-Type: ReDIF-Article 1.0 Author-Name: Saeed Asadi Bagloee Author-X-Name-First: Saeed Asadi Author-X-Name-Last: Bagloee Author-Name: Majid Sarvi Author-X-Name-First: Majid Author-X-Name-Last: Sarvi Author-Name: Abbas Rajabifard Author-X-Name-First: Abbas Author-X-Name-Last: Rajabifard Author-Name: Russell George Thompson Author-X-Name-First: Russell George Author-X-Name-Last: Thompson Title: System optimal relaxation and Benders decomposition algorithm for the large-sized road network design problem Abstract: Given a set of candidate road projects with associated costs, finding the best subset with respect to a limited budget is known as the discrete network design problem (DNDP). The DNDP is often characterised as a bilevel programming problem which is known to be NP-hard. Despite a plethora of research, due to the combinatorial complexity, the literature addressing this problem for large-sized networks is scarce. To this end, we first transform the bilevel problem into a single-level problem by relaxing it to a system-optimal traffic flow. As such, the problem turns to be a mixed integer nonlinear programming (MINLP) problem. Secondly, we develop an efficient Benders decomposition algorithm to solve the ensuing MINLP problem. The proposed methodology is applied to three examples, a pedagogical network, Sioux Falls and a real-size network representing the City of Winnipeg, Canada. Numerical tests on the network of Winnipeg at various budget levels demonstrate promising results. Journal: Int. J. of Logistics Systems and Management Pages: 486-509 Issue: 4 Volume: 34 Year: 2019 Keywords: discrete network design problem; DNDP; Benders decomposition; bilevel optimisation; system optimal relaxation. File-URL: http://www.inderscience.com/link.php?id=103516 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:486-509 Template-Type: ReDIF-Article 1.0 Author-Name: Chau Thi Diem Le Author-X-Name-First: Chau Thi Diem Author-X-Name-Last: Le Author-Name: Jirachai Buddhakulsomsiri Author-X-Name-First: Jirachai Author-X-Name-Last: Buddhakulsomsiri Author-Name: Chawalit Jeenanunta Author-X-Name-First: Chawalit Author-X-Name-Last: Jeenanunta Author-Name: Aussadavut Dumrongsiri Author-X-Name-First: Aussadavut Author-X-Name-Last: Dumrongsiri Title: Determining an optimal warehouse location, capacity, and product allocation in a multi-product, multi-period distribution network: a case study Abstract: This paper addresses the distribution network design problem in a complex four-echelon supply chain system that includes factories, internal warehouses, external warehouses and customers. The distribution network contains a large number of products and considers 20 periods of planning horizon. Product deliveries are made using two shipment methods, direct shipment from internal warehouse and through shared external warehouse, to two groups of customers, domestic and overseas, with deterministic demands. The objective is to determine an optimal location of a new external warehouse, its capacity, and product-facility-market allocation so as to minimise the total logistics cost, including transportation and warehousing costs. A real-world large-scale problem from industry is solved optimally using a mixed integer linear programming model. A sensitivity analysis on three key parameters, product demand, unit transportation cost, and unit warehousing cost, is conducted to find the final solution. Journal: Int. J. of Logistics Systems and Management Pages: 510-532 Issue: 4 Volume: 34 Year: 2019 Keywords: facility location; capacity; product allocation; distribution network; four-echelon supply chain; multiple products; multiple periods; multi-modal; multiple storage types; case study. File-URL: http://www.inderscience.com/link.php?id=103517 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:510-532 Template-Type: ReDIF-Article 1.0 Author-Name: Aishwary Bhasker Author-X-Name-First: Aishwary Author-X-Name-Last: Bhasker Author-Name: S.P. Sarmah Author-X-Name-First: S.P. Author-X-Name-Last: Sarmah Author-Name: Taebok Kim Author-X-Name-First: Taebok Author-X-Name-Last: Kim Title: Collaborative last-mile delivery and pick-up in city logistics Abstract: Collaborative strategy helps city planner and logistics companies to plan for last-mile delivery and pick-up strategy such that it reduces fuel consumption and thus pollution within the city. This paper proposes a mathematical model to evaluate fuel consumption for a routing plan in last-mile delivery (or pick-up) for non-collaborative (or traditional) and collaborative strategy. Comparing both the scenario for last-mile delivery and pick-up, the latter strategy outperforms the former with 19.02% reduction in fuel consumption. Results are also analysed in terms of total carbon emission caused by vehicles of individual companies. Sharing of surplus among the companies due to collaborative strategy is also presented in this study. Furthermore, the paper assesses the implementation of an electric fleet of vehicles in the context of collaborative urban transportation of goods and determines corresponding energy consumption. The results exhibit an improvement of 24.16% in electric vehicles (EVs) in a collaborative scenario compared to diesel vehicles. Journal: Int. J. of Logistics Systems and Management Pages: 533-553 Issue: 4 Volume: 34 Year: 2019 Keywords: city logistics; collaboration; vehicle routing; fuel consumption; electric vehicles. File-URL: http://www.inderscience.com/link.php?id=103518 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:34:y:2019:i:4:p:533-553