Template-Type: ReDIF-Article 1.0 Author-Name: Ivan Darma Wangsa Author-X-Name-First: Ivan Darma Author-X-Name-Last: Wangsa Author-Name: Hui Ming Wee Author-X-Name-First: Hui Ming Author-X-Name-Last: Wee Title: Integrated inventory system with freight costs and two types of quantity discounts Abstract: In this paper, we investigate an integrated inventory model for single supplier-buyer considering stochastic demand. We consider two quantity discounts with freight environment. The objective is to minimise the integrated total cost incurred by the supplier and buyer. Freight costs are the function of shipping weight and distance with two transportation modes: truckload (TL) and less-than-truckload (LTL) shipments. We develop two optimal models considering all-units quantity discount and incremental quantity discount. The study shows how freight costs and the two discount policies affect the total cost of the supplier and the buyer. Numerical examples are used to illustrate of two models. Journal: Int. J. of Logistics Systems and Management Pages: 119-147 Issue: 1 Volume: 35 Year: 2020 Keywords: integrated inventory; TL and LTL; stochastic demand; all-units quantity discount; incremental quantity discount. File-URL: http://www.inderscience.com/link.php?id=103851 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:119-147 Template-Type: ReDIF-Article 1.0 Author-Name: Hend Medhat Amin Author-X-Name-First: Hend Medhat Author-X-Name-Last: Amin Author-Name: Tamer Mohamed Shahwan Author-X-Name-First: Tamer Mohamed Author-X-Name-Last: Shahwan Title: Logistics management requirements and logistics performance efficiency: the role of logistics management practices - evidence from Egypt Abstract: This study examines the availability of logistics management requirements, i.e., organisational requirements (OR), informational requirements (IR) and human resource requirements (HRR) and their impact on logistics performance efficiency, particularly the mediation effects of logistics management practices in this relationship within Egyptian engineering industries firms. Data is collected based on a survey questionnaire directed to 194 observations within the selected firms. The operating costs average is used as an indicator of the logistics performance efficiency since it measures the efficiency inversely. Our findings reveal significant variations in managers' perception of logistics management concept among the selected firms. The findings also reveal significant differences among the selected Egyptian corporations according to the availability degree of logistics management requirements and practices. At the same time, the study partially supports the significant impact of logistics management requirements on logistics performance efficiency where logistics management practices play full and partial mediating roles in this relationship. Journal: Int. J. of Logistics Systems and Management Pages: 1-27 Issue: 1 Volume: 35 Year: 2020 Keywords: logistics management requirements; LMRs; logistics management practices; LMPs; logistics performance efficiency; emerging markets; Egypt. File-URL: http://www.inderscience.com/link.php?id=103859 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Rupesh Kumar Author-X-Name-First: Rupesh Author-X-Name-Last: Kumar Author-Name: Vishnu Nath Author-X-Name-First: Vishnu Author-X-Name-Last: Nath Title: IT adaptation in sugar supply chain: a study at milling level Abstract: The purpose of the study is to catalogue issues in the sugar supply chain at the procurement and sugar production levels. By a review of prior art and expert panel discussions, certain issues were identified for the facilitation of e-applications in the sugar production process. The relevance of the issues identified was checked by conducting a field survey. A total of 30 sugar mills in the states of Uttar Pradesh and Uttarakhand, India were targeted and 120 were collected from the mill managers to identify issues at procurement and sugar production stages. For checking the scope of IT applications, a total of 180 respondents were collected from 120 mill managers and 60 employees of IT companies who provide supply chain IT solutions. On the basis of the findings, the paper proposes certain IT solutions for solving the identified issues which will help in improving sugar cane processing at the sugar production level. Journal: Int. J. of Logistics Systems and Management Pages: 28-49 Issue: 1 Volume: 35 Year: 2020 Keywords: supply chain management; sugar mills; procurement; sugar production; factor analysis; analysis of variance; ANOVA; information technology. File-URL: http://www.inderscience.com/link.php?id=103862 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:28-49 Template-Type: ReDIF-Article 1.0 Author-Name: Haidar Abbas Author-X-Name-First: Haidar Author-X-Name-Last: Abbas Author-Name: Jamal A. Farooquie Author-X-Name-First: Jamal A. Author-X-Name-Last: Farooquie Title: Reverse logistics practices in Indian pharmaceutical supply chains: a study of manufacturers Abstract: The era of integration and globalisation forces one not to believe in a 'zero sum game'. Under the challenges like constantly increasing customers' expectations, fierce competition, high product variety, etc., winning the customers' delight and recapturing the value by their efficient reverse logistics process becomes inevitable. Such provision becomes of utmost importance when it is related with costly and health and/or life affecting products like medicines. Using suitable statistical tests, the data collected online from 65 senior level managers and entrepreneurs are analysed to identify and examine the various reverse logistics practices, drivers and barriers of thereof, and their performance parameters in Indian pharmaceutical sector. Redistribute, customer satisfaction, lesser predictability and helpful in image building are the most cited practice, driver, barriers and perceived performance indicator, respectively. Besides enriching the literature, the outcomes are expected to help the governments, regulatory bodies as well as pharmaceutical companies to ensure sustainable development. Journal: Int. J. of Logistics Systems and Management Pages: 72-89 Issue: 1 Volume: 35 Year: 2020 Keywords: logistics; reverse logistics; pharmaceutical supply chains; pharmaceutical companies; Indian pharmaceutical supply chains. File-URL: http://www.inderscience.com/link.php?id=103863 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:72-89 Template-Type: ReDIF-Article 1.0 Author-Name: Afaf Haial Author-X-Name-First: Afaf Author-X-Name-Last: Haial 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: Redesigning a transportation network: the case of a pharmaceutical supply chain Abstract: Designing transportation networks - as one of the most important decision problems in supply chain management - has become the focus of research attention in recent years. This paper introduces a framework which deals with the design of a transportation network for pharmaceutical supply chains. It consists of three steps: 1) identifying the configuration of the current distribution network; 2) designing an optimal distribution network while determining the appropriate location-allocation decisions; 3) choosing the most appropriate transportation network through the application of the appropriate multi-criteria decision analysis method (MCDA). The proposed framework is illustrated in redesigning a transportation network for a pharmaceutical supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 90-118 Issue: 1 Volume: 35 Year: 2020 Keywords: pharmaceutical products supply chain; supply chain transportation network; location-allocation; multi-criteria decision analysis. File-URL: http://www.inderscience.com/link.php?id=103866 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:90-118 Template-Type: ReDIF-Article 1.0 Author-Name: Judit Oláh Author-X-Name-First: Judit Author-X-Name-Last: Oláh Author-Name: Zoltán Lakner Author-X-Name-First: Zoltán Author-X-Name-Last: Lakner Author-Name: József Popp Author-X-Name-First: József Author-X-Name-Last: Popp Title: An integrated approach to order picking systems in warehouses Abstract: Locating technologies represent one of the main resources and time saving opportunities of the order picking system. The aim of this study is to examine the two types of order picking strategy used in the warehouse of the enterprise from the perspective of time saving. In order to shorten the picking travel time, a change was initiated in the order of products on the order picking list. The order picking list based on the numerical increase of the original ascending code article international identifier was switched to an order picking list based on the alphabetical order of storage locations. Consequently, preparation based on the desired new order picking list is more effective with higher storage location involvement. Employees performing the order picking system can obtain an ideal route with the order picking list based on the ascending alphabetical order of storage location names. Journal: Int. J. of Logistics Systems and Management Pages: 50-71 Issue: 1 Volume: 35 Year: 2020 Keywords: warehouse management; order picking list; order picking system; time saving; storage location. File-URL: http://www.inderscience.com/link.php?id=103867 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:1:p:50-71 Template-Type: ReDIF-Article 1.0 Author-Name: Mehmet Oguz Author-X-Name-First: Mehmet Author-X-Name-Last: Oguz Author-Name: Yavuz Keceli Author-X-Name-First: Yavuz Author-X-Name-Last: Keceli Title: Determination of criteria affecting the executive dashboard design to support decision making in port authorities Abstract: Senior executives of a port authority spend most of their time by collecting information and making individual decisions via the collected information. They need customised decision support systems to support these decisions. It is necessary to develop executive dashboards specific to them although very few of them possess such dashboards. Hence, it is a necessity to determine the criteria needed to design such dashboards for an effective decision making. The purpose of this study is to determine the criteria needed to design executive dashboards for port executives so that they can make effective decisions. Within this scope, a target group study comprising of field experts was conducted, and the data obtained were analysed with the Delphi technique. Consequently, 61 criteria in total were determined in four different criterion groups. Journal: Int. J. of Logistics Systems and Management Pages: 231-245 Issue: 2 Volume: 35 Year: 2020 Keywords: port management information systems; PMIS; customised decision support systems; port authority executive dashboard; Delphi technique. File-URL: http://www.inderscience.com/link.php?id=104777 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:2:p:231-245 Template-Type: ReDIF-Article 1.0 Author-Name: Mansour Rached Author-X-Name-First: Mansour Author-X-Name-Last: Rached Author-Name: Zied Bahroun Author-X-Name-First: Zied Author-X-Name-Last: Bahroun Title: Vertical and horizontal impacts of information sharing on a divergent supply chain Abstract: Despite the tremendous advancements in communication technologies, convincing decision makers in supply chains to establish cooperation mechanisms remains a challenge. This paper aims to raise awareness among supply chain partners regarding the importance of information sharing by assessing the value of upstream (supplier lead time) and downstream (customer demand) information sharing in a divergent supply chain. Through a simulation study, this work investigates the impact of information sharing on the logistic cost of each link horizontally and vertically and for each cost component for three different structures of the distribution network. The results show that the warehouse benefits the most from information sharing and should implement revenue-sharing contracts to motivate its partners to share their information. In addition, the gains are not sensitive to the structure of the distribution network, and the retailers' gains are proportional to their level of demand and unit holding and penalty costs. Moreover, the holding and penalty costs for the warehouse are sensitive to the sharing of supplier lead time information when only holding costs are sensitive to the sharing of customer demand information at the warehouse and retailers. Journal: Int. J. of Logistics Systems and Management Pages: 246-272 Issue: 2 Volume: 35 Year: 2020 Keywords: information sharing; divergent supply chain; vertical impact; horizontal impact; lead time; demand. File-URL: http://www.inderscience.com/link.php?id=104778 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:2:p:246-272 Template-Type: ReDIF-Article 1.0 Author-Name: Surjit Kumar Gandhi Author-X-Name-First: Surjit Kumar Author-X-Name-Last: Gandhi Author-Name: Anish Sachdeva Author-X-Name-First: Anish Author-X-Name-Last: Sachdeva Author-Name: Ajay Gupta Author-X-Name-First: Ajay Author-X-Name-Last: Gupta Title: Service quality in manufacturing supply chains: a bi-directional perspective from Indian SMEs Abstract: This study investigates the role played by service quality in the supply chains of Indian small-medium manufacturing units and presents models at different junctions which propose and validate that the contributions made by supply chain partners towards service quality lead to satisfaction and loyalty. The research design for this study includes a combination of literature review, exploratory interviews and a questionnaire survey conducted through interview schedule with respondents working in different SMEs situated in Northern India. Both internal and external customer perspectives have been considered. Structural equation modelling has been used for data analysis. Three models showing linkages of manufacturer (manufacturing unit's) service quality with supplier service quality, employee service quality and distributor service quality are developed. The models are empirically tested and are found to be fit. This study would be of interest to SME practitioners interested in strengthening relationships with supply chains partners to achieve win-win situations. Journal: Int. J. of Logistics Systems and Management Pages: 149-203 Issue: 2 Volume: 35 Year: 2020 Keywords: service quality; supply chain; small and medium-sized enterprise; SMEs; service quality factors; supplier; employees; distributor; exploratory factor analysis; EFA; confirmatory factor analysis; CFA; reliability; validity; SEM. File-URL: http://www.inderscience.com/link.php?id=104779 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:2:p:149-203 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjeev Yadav Author-X-Name-First: Sanjeev Author-X-Name-Last: Yadav Author-Name: Dixit Garg Author-X-Name-First: Dixit Author-X-Name-Last: Garg Author-Name: Sunil Luthra Author-X-Name-First: Sunil Author-X-Name-Last: Luthra Title: Selection of third-party logistics services for internet of things-based agriculture supply chain management Abstract: Third-party logistics (3PL) service providers can play a major role in the agriculture supply chain management (ASCM) for customer's satisfaction and cost reduction in managing supply chain. Selection of the suppliers is one of the important factors that need to be considered. Since, by deciding best 3PL supplier, competitiveness and sustainability of supply chain has been increased. However, this decision become complicated when there is multiple 3PL suppliers having multiple criterion and inaccurate parameters. Moreover, the ambiguity and doubtfulness of expert's opinions enhance the problem. Therefore, a decision making tool based on multi criteria has been used widely as fuzzy-analytic hierarchical process (AHP) approach can be used for selection of best 3PL service providers. The main aim of this research is to develop an outline of different criterion for supplier's selection based on literature review and techniques used for selection of the best 3PL suppliers. Furthermore, this research paper provides a more precise, effective and efficient decision support tool for selecting best 3PL providers. This research may help in increasing the tendency for towards the logistics activities outsourcing to enhance sustainability of IoT-based agriculture supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 204-230 Issue: 2 Volume: 35 Year: 2020 Keywords: third-party logistics; 3PL; analytic hierarchy process; AHP; fuzzy set theory; multi criteria decision making; MCDM; logistic outsourcing; internet of things; IoT; freight time; goods and service tax; GST. File-URL: http://www.inderscience.com/link.php?id=104780 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:2:p:204-230 Template-Type: ReDIF-Article 1.0 Author-Name: Supphakorn Sumetthapiwat Author-X-Name-First: Supphakorn Author-X-Name-Last: Sumetthapiwat Author-Name: Boonyarit Intiyot Author-X-Name-First: Boonyarit Author-X-Name-Last: Intiyot Author-Name: Chawalit Jeenanunta Author-X-Name-First: Chawalit Author-X-Name-Last: Jeenanunta Title: A column generation on two-dimensional cutting stock problem with fixed-size usable leftover and multiple stock sizes Abstract: We investigate a two-dimensional two-stage cutting stock problem (2D-2CP) with multiple stock sizes when fixed-size usable leftovers are considered. A fixed-size usable leftover is an object with the predefined size that could be used later. Fixed-size usable leftovers can reduce the waste area and therefore can help construct better cutting patterns. A mathematical model is proposed in a set-partitioning form where the sub-problems corresponding to two-dimensional knapsack problem (2DKP) with fixed-size usable leftovers are generated for optimality testing. A column generation technique is applied in an attempt to find a solution that minimises a total waste. Moreover, two different practical integer solution finding strategies are proposed. The algorithms are tested on a real-world dataset using various initial solution patterns and analysed. Additionally, the effect of the usable leftovers is investigated when compared with the prior literature that used the same dataset on the 2D-2CP problem without considering usable leftovers. Journal: Int. J. of Logistics Systems and Management Pages: 273-288 Issue: 2 Volume: 35 Year: 2020 Keywords: two-dimensional cut; cutting stock problem; CSP; column generation; usable leftover; guillotine cut; stock size; b%c; heuristics. File-URL: http://www.inderscience.com/link.php?id=104781 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:2:p:273-288 Template-Type: ReDIF-Article 1.0 Author-Name: Mouna Atik El Ftouh Author-X-Name-First: Mouna Atik El Author-X-Name-Last: Ftouh Author-Name: Naoufal Sefiani Author-X-Name-First: Naoufal Author-X-Name-Last: Sefiani Author-Name: Mohamed Fourka Author-X-Name-First: Mohamed Author-X-Name-Last: Fourka Title: Collaborative transportation and urban routing problems: state of classification and literature Abstract: Carriers' collaboration is achieved when two or more carriers share their requests and resources in order to reduce their routing costs and increase their total profit. In this article we present a classification of carriers' collaborative routing problems according to type of planning (centralised or decentralised) and a review of the most popular routing problems related to city logistics, i.e., multi trips vehicle routing problem (MTVRP), multi-depot vehicle routing problem (MDVRP), vehicle routing problem pickup and delivery (VRPPD) and loading constraints. Based on an existing taxonomy we review those problems in term of variants, objectives and resolution methods. The aim of this paper is to provide a comprehensive and relevant characterisation of carriers' collaboration problems in urban context. Journal: Int. J. of Logistics Systems and Management Pages: 289-328 Issue: 3 Volume: 35 Year: 2020 Keywords: carrier collaboration; collaboration problems; routing problems; multi trips; multi depots; simultaneous pickup and delivery; loading constraints; classification; literature review; urban. File-URL: http://www.inderscience.com/link.php?id=105914 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:289-328 Template-Type: ReDIF-Article 1.0 Author-Name: Rubén Sainz González Author-X-Name-First: Rubén Sainz Author-X-Name-Last: González Author-Name: Ingrid Mateo Mantecón Author-X-Name-First: Ingrid Mateo Author-X-Name-Last: Mantecón Author-Name: José F. Baños Pino Author-X-Name-First: José F. Baños Author-X-Name-Last: Pino Author-Name: Susana Val Blasco Author-X-Name-First: Susana Val Author-X-Name-Last: Blasco Title: Economic impact of the crisis on Zaragoza logistics platform (PLAZA) Abstract: Undertaking economic impact studies serves to determine the importance of transport infrastructures to the regions and cities in which they are located. While such studies have focused on large infrastructures such as ports and airports, few have examined logistic infrastructures. In this paper, we calculate the economic impact of Zaragoza logistics platform (PLAZA) for 2012 and determine the effect of the world economic crisis on this infrastructure. We study the different levels of economic impact (direct, indirect and induced impacts) and these are measured in terms of employment, wages and gross added value (GVA). The results show that the infrastructure improved its business performance in 2012, with higher levels of the main variables studied, in comparison with those obtained before the crisis in 2005. Journal: Int. J. of Logistics Systems and Management Pages: 354-371 Issue: 3 Volume: 35 Year: 2020 Keywords: economic impact; input-output; logistics platform; PLAZA. File-URL: http://www.inderscience.com/link.php?id=105915 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:354-371 Template-Type: ReDIF-Article 1.0 Author-Name: Fabian Dunke Author-X-Name-First: Fabian Author-X-Name-Last: Dunke Author-Name: Stefan Nickel Author-X-Name-First: Stefan Author-X-Name-Last: Nickel Title: Improving company-wide logistics through collaborative track and trace IT services Abstract: Under the objective of improving intra-organisational logistics processes, this paper investigates the use of collaborative IT applications-based on track and trace technology. We report on company-wide logistics improvements attained through the introduction of a collaborative track and trace IT solution. In a chemical company, we considered the dependent processes of truck arrivals at the main gate and loading operations at stations inside the site. Without track and trace assistance, uncertainties in processing steps and driving times as well as space limitations lead to uncontrolled truck inflow to stations. To achieve a controllable situation, we developed an online IT application where at gate and station real-time data is collected. Based on the data, we employed a site entry control ensuring smooth station operations. Logistics performance indicators such as the average and maximum truck number at the station and site sojourn times of trucks were reduced significantly. Journal: Int. J. of Logistics Systems and Management Pages: 329-353 Issue: 3 Volume: 35 Year: 2020 Keywords: logistical systems optimisation; logistics information systems; collaboration tools; information sharing; on-site logistics. File-URL: http://www.inderscience.com/link.php?id=105916 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:329-353 Template-Type: ReDIF-Article 1.0 Author-Name: Sehar Ishtiaque Author-X-Name-First: Sehar Author-X-Name-Last: Ishtiaque Author-Name: Danish Ahmed Siddiqui Author-X-Name-First: Danish Ahmed Author-X-Name-Last: Siddiqui Author-Name: Waqar Ahmed Author-X-Name-First: Waqar Author-X-Name-Last: Ahmed Title: Impact of technology-based integrated responsive supply chain on operational performance: a case of a volatile market Abstract: The aim of this paper is to develop a comprehensive model that facilitates an understanding of relationships among information and communication technology, integrative capabilities, operational responsiveness and dimensions of performance in a developing economy. Data were collected from a survey administered to 140 firms in the manufacturing industry in Pakistan. Hypotheses testing were done by PLS-SEM using SMART-PLS software. The results show that the best way to achieve operational performance is to better invest in information and communication technology which improves the integrative capabilities along with operational responsiveness, which in turn improves the operational performance. This paper provides insights to many supply chain practitioners to configure their supply chain responsiveness from customer facing to supplier facing through integration. Journal: Int. J. of Logistics Systems and Management Pages: 387-409 Issue: 3 Volume: 35 Year: 2020 Keywords: supply chain integration; SCI; supplier operational performance; SOP; information and communication technology; ICT; operational responsiveness; operational performance; customer operational performance; COP; PLS-SEM. File-URL: http://www.inderscience.com/link.php?id=105917 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:387-409 Template-Type: ReDIF-Article 1.0 Author-Name: Nishant Mukesh Agrawal Author-X-Name-First: Nishant Mukesh Author-X-Name-Last: Agrawal Title: Benchmarking efficiency of Indian retailers using parametric and non-parametric approach Abstract: The purpose of this paper is to study the performance of Indian retailers to conclude meaningful insights which can help management of retailers and improve further decisions. The paper has been discussed efficiency of 12 Indian retailers during 2015-2017 using data envelopment analysis (DEA), Malmquist productivity index (MPI) and stochastic frontier analysis (SFA) which is latest powerful efficiency measurement techniques. Total asset and total expenditure considered as input and gross sale, total income considered as output. In DEA technique, CCR and BCC model has been used. Under CCR model, only 4 out of 12 retailers are found to be efficient and 7 out of 12 retailers found to be efficient under BCC model. MPI shows 4 out of 12 Indian retailers progression. SFA is one of parametric approach shows that, no of employee and total expenditure can be considered to driving force for influencing total income of Indian retailers. Journal: Int. J. of Logistics Systems and Management Pages: 372-386 Issue: 3 Volume: 35 Year: 2020 Keywords: data envelopment analysis; DEA; Malmquist productivity index; MPI; stochastic frontier analysis; SFA; efficiency; Indian retailer; performance measurement. File-URL: http://www.inderscience.com/link.php?id=105918 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:372-386 Template-Type: ReDIF-Article 1.0 Author-Name: Avni Zafer Acar Author-X-Name-First: Avni Zafer Author-X-Name-Last: Acar Author-Name: Zbigniew Bentyn Author-X-Name-First: Zbigniew Author-X-Name-Last: Bentyn Author-Name: Batuhan Kocaoğlu Author-X-Name-First: Batuhan Author-X-Name-Last: Kocaoğlu Title: Comparing the development of Turkey and Poland as potential logistics hubs in context of international logistics Abstract: By the reasons of the new plans to reinvigorate the trade route between Asia and Europe, the countries Turkey and Poland may become important international hubs of logistics. Thanks to the unique location of the countries and potential to economic development they create a pair of alternatives for investors willing to interconnect Asia and Europe. The comparison of the development in logistic performance allowed to stress the differences in the development of both regions. The analysis of logistics infrastructure indicates directions and possible development in the future. The aim of this paper is to compare current developments of both countries in terms of logistics performance. As data suggest the position of the countries is similar and promising. That allows forming a positive influence on future development of business especially focused on international logistics. Journal: Int. J. of Logistics Systems and Management Pages: 410-424 Issue: 3 Volume: 35 Year: 2020 Keywords: international logistics; transport; logistic performance; trade; infrastructure. File-URL: http://www.inderscience.com/link.php?id=105921 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:3:p:410-424 Template-Type: ReDIF-Article 1.0 Author-Name: Sandra Helena Da Silva De Santis Author-X-Name-First: Sandra Helena Da Silva De Author-X-Name-Last: Santis Author-Name: João Paulo Pereira Marcicano Author-X-Name-First: João Paulo Pereira Author-X-Name-Last: Marcicano Title: Criteria for carriage of dangerous cargo class 1 - explosives in Brazil Abstract: This study proposes a set of criteria for the operational procedures of control, handling and road transport of explosive hazardous cargo, its importance is associated with the performance, which facilitates the movement of volatile and extremely dangerous materials. The objective is to identify the parameters for logistical movement, which preserve environmental safety and obey the rules of law. The proposed framework can guide the movement and maintain the quality of the services. The theme is relevant for socio-environmental security and risk prevention in the logistics process. Thus, to obtain the information was used an exploratory research with qualitative approach obtained by means of secondary data as books, decrees, ordinances, and legislation. The research identified points relevant to the quality of the services in road transport of explosive material. Journal: Int. J. of Logistics Systems and Management Pages: 425-435 Issue: 4 Volume: 35 Year: 2020 Keywords: criteria quality logistics; road transport of explosive material. File-URL: http://www.inderscience.com/link.php?id=106249 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:425-435 Template-Type: ReDIF-Article 1.0 Author-Name: Mahdi Shafiei Author-X-Name-First: Mahdi Author-X-Name-Last: Shafiei Author-Name: Mohammad Modarres Author-X-Name-First: Mohammad Author-X-Name-Last: Modarres Title: Reinforced revenue sharing contract thru sharing in sale point by adopting semi-TDPD Abstract: In this paper, we develop a new coordination contract of manufacturer-retailer in a distribution system. A revenue sharing contract that sharing the revenue between the distribution systems members at sale point as coefficient of product price which integrated semi third degree price discrimination (semi-TDPD) into the model. Semi-TDPD strategy makes it possible to exploit the opportunity of customers' behaviour that they willing to pay different price to owning the product and bargaining for lower price, by adopting price discrimination strategy. To illustrate the proposed approach, we present some numerical examples. Through these examples, we investigate the impact semi-TDPD on decision variables as well as the well performance of proposed revenue sharing coordination. Journal: Int. J. of Logistics Systems and Management Pages: 453-465 Issue: 4 Volume: 35 Year: 2020 Keywords: revenue sharing; distribution channel; pricing; semi-TDPD; Stackelberg game model. File-URL: http://www.inderscience.com/link.php?id=106253 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:453-465 Template-Type: ReDIF-Article 1.0 Author-Name: Akash Singh Author-X-Name-First: Akash Author-X-Name-Last: Singh Author-Name: Uttam Kumar Bera Author-X-Name-First: Uttam Kumar Author-X-Name-Last: Bera Author-Name: Deepshikha Sarma Author-X-Name-First: Deepshikha Author-X-Name-Last: Sarma Title: Rough-interval in a two-stage solid transportation problems and its solution Abstract: The paper attempts a study on two stage formulation of a cost minimisation solid transportation problem, where the parameters are considered as rough interval form. A rough interval is based on approximation space and hence the solution of the proposed model obtained with the help of approximation theory. In order to solve the expected value model has been derived and the corresponding deterministic model so obtained is solved with LINGO 13.0 optimisation solver. Finally, the methodology and model is illustrated by simple numerical example at the last. Journal: Int. J. of Logistics Systems and Management Pages: 466-485 Issue: 4 Volume: 35 Year: 2020 Keywords: solid transportation problem; STP; rough interval; expected value. File-URL: http://www.inderscience.com/link.php?id=106256 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:466-485 Template-Type: ReDIF-Article 1.0 Author-Name: Joash Mageto Author-X-Name-First: Joash Author-X-Name-Last: Mageto Author-Name: Gerrie Prinsloo Author-X-Name-First: Gerrie Author-X-Name-Last: Prinsloo Author-Name: Rose Luke Author-X-Name-First: Rose Author-X-Name-Last: Luke Title: Determinants of logistics outsourcing performance among small and medium enterprises Abstract: The purpose of this study is to establish determinants of logistics outsourcing performance and their relationship with logistics performance among manufacturing small and medium enterprises (SMEs). The increasing use and challenge of logistics outsourcing require that SMEs establish relationship factors that determine high outsourcing performance to enhance overall logistics performance. Data was collected from 406 SMEs using a structured questionnaire. Factor analysis was applied and four constructs were extracted; three were found to be determinants. Partial least squares structural equation modelling was performed to determine the associations among the constructs. Communication-trust, innovation and cooperation between the manufacturing SMEs and logistics service providers were identified as key determinants of logistics outsourcing performance. Strong associations were validated between communication-trust, innovation and cooperation. Only communication-trust was positively associated with logistics performance. The results guide SME managers to promote communication-trust in logistics outsourcing relationships. Journal: Int. J. of Logistics Systems and Management Pages: 541-565 Issue: 4 Volume: 35 Year: 2020 Keywords: logistics outsourcing performance; LOP; small and medium enterprises; SMEs; factor analysis; logistics service providers; LSPs; structural equation modelling; logistics performance; communication; innovation; cooperation; trust. File-URL: http://www.inderscience.com/link.php?id=106261 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:541-565 Template-Type: ReDIF-Article 1.0 Author-Name: Dega Nagaraju Author-X-Name-First: Dega Author-X-Name-Last: Nagaraju Author-Name: Burra Karuna Kumar Author-X-Name-First: Burra Karuna Author-X-Name-Last: Kumar Author-Name: S. Narayanan Author-X-Name-First: S. Author-X-Name-Last: Narayanan Title: On the optimality of inventory and shipment policies in a two-level supply chain under quadratic price dependent demand Abstract: In this paper, a two-level supply chain consisting of a single-manufacturer supplying a single kind of product to a single-retailer is considered. A mathematical model is developed for both the centralised and de-centralised supply chain. The novel idea of the proposed model is that the demand is expressed as a quadratic function of the retailer's unit selling price. Ordering/setup costs, carrying costs and transportation costs are considered for model development. Replenishment quantity at the retailer and shipment frequency from manufacturer to retailer are considered as the decision variables. The objective of the proposed model is to demonstrate the optimality of total variable costs of the respective retailer, manufacturer and the supply chain under quadratic price dependent demand. Computer program is written in MATLAB and the model is solved with the help of a case study data. Further, the sensitivity analysis is carried out and finally, managerial implications are derived. Journal: Int. J. of Logistics Systems and Management Pages: 486-510 Issue: 4 Volume: 35 Year: 2020 Keywords: two-level supply chain; quadratic price dependent demand; replenishment quantity; shipment frequency; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=106267 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:486-510 Template-Type: ReDIF-Article 1.0 Author-Name: Sushobhan Dutta Author-X-Name-First: Sushobhan Author-X-Name-Last: Dutta Author-Name: Sanjib Kumar Das Author-X-Name-First: Sanjib Kumar Author-X-Name-Last: Das Author-Name: Milind Akarte Author-X-Name-First: Milind Author-X-Name-Last: Akarte Title: Prioritisation of success factors to sustain buyer-supplier dyadic relationship and its impact on business performance Abstract: The study elucidates critical success factors to sustain dyadic relationship between buyers and suppliers of Indian pharmaceutical industry and its influence on business performance. The success factors were identified based on social exchange, transaction cost, relationship marketing theories and an extensive literature review, though such literature relevant to Indian pharmaceutical sector is scanty. Data was collected through a questionnaire survey related to relationship information from buyers and suppliers of several pharmaceutical industries. Statistical analyses like regressions, one-way ANOVA, post hoc, were applied to analyse the data. Analytic hierarchical process was applied to validate prioritisation of success factors obtained from the statistical analysis. The authors analysed prioritisation of success factors and its impact on business performance from both buyers' and suppliers' perspective. The study deliberates in macro-ergonomic approach in formulating healthier relationship between buyer-supplier for better supply chain and enhanced performance in strategic procurement. Journal: Int. J. of Logistics Systems and Management Pages: 526-540 Issue: 4 Volume: 35 Year: 2020 Keywords: buyer-supplier dyadic relationship; business performance; supply chain; pharmaceutical industry. File-URL: http://www.inderscience.com/link.php?id=106268 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:526-540 Template-Type: ReDIF-Article 1.0 Author-Name: J. Arul Valan Author-X-Name-First: J. Arul Author-X-Name-Last: Valan Author-Name: E. Baburaj Author-X-Name-First: E. Author-X-Name-Last: Baburaj Title: Inventory control in healthcare supply chain management using apriori and gravitational search algorithms Abstract: Due to this kind of demand, healthcare supply chains (SC) need to keep high inventory levels to ensure high availability of medicines to save people's lives. We develop a method that effectively utilises the data mining concepts as well as gravitational search algorithm (GSA) for optimal inventory control. The proposed method consists of two key functions, mining association rules for inventory and choosing SC cost-impact rules. Initially, the association rules are mined from EMA-based healthcare inventory data. After that, SC cost-impact rules are chosen for every SC member using GSA. The obtained SC cost-impact rules will possibly signify the future state of inventory in any SC member. Furthermore, the level of holding or reducing the inventory can be determined from the SC cost-impact rules. Thus, the SC cost-impact rules that are derived using the proposed method greatly facilitate optimal inventory control and hence make the supply chain management more effective. Journal: Int. J. of Logistics Systems and Management Pages: 511-525 Issue: 4 Volume: 35 Year: 2020 Keywords: apriori; SC cost; SC cost-impact rule; EMA-based inventory; gravitational search algorithm; GSA. File-URL: http://www.inderscience.com/link.php?id=106270 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:511-525 Template-Type: ReDIF-Article 1.0 Author-Name: Sobhgol Gholipour Author-X-Name-First: Sobhgol Author-X-Name-Last: Gholipour Author-Name: Amir Ashoftehfard Author-X-Name-First: Amir Author-X-Name-Last: Ashoftehfard Author-Name: Hassan Mina Author-X-Name-First: Hassan Author-X-Name-Last: Mina Title: Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach Abstract: The growing rate of population and technological advancement have led to an increase in natural resource consumption, which has caused irreparable damage to the environment. The implementation of green supply chain management is one of the most effective ways to deal with environmental degradation. Therefore, in this paper, a bi-objective mixed integer linear programming model is developed to design a green supply chain network. In the proposed model, the possibility of customer storage, being faced with shortage, locating of distribution centres, green vehicle routing problem, split delivery, multi-depot vehicle routing problem (VRP), capacitated VRP, and uncertainty in demands will be considered. The aim of the proposed model is to minimise the total cost and total shortages simultaneously and, therefore, a fuzzy solution approach is applied for this purpose. The results of implementing this model in a production chain of automotive parts in Iran indicate the exact and efficient performance of the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 436-452 Issue: 4 Volume: 35 Year: 2020 Keywords: green supply chain management; mathematical programming; location-routing problem; fuzzy theory. File-URL: http://www.inderscience.com/link.php?id=106272 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:436-452 Template-Type: ReDIF-Article 1.0 Author-Name: Amir Abbas Shojaie Author-X-Name-First: Amir Abbas Author-X-Name-Last: Shojaie Author-Name: Tayebe Baghaei Author-X-Name-First: Tayebe Author-X-Name-Last: Baghaei Title: Presenting a model for scheduling natural gas transmission via pipeline using a mathematical programming model Abstract: The need for natural gas transmission facilities for dispatching from production hubs to the consumption nodes has been grown increasingly. Considering the high cost of such facilities, optimal design of the facilities and optimisation of the gas transmission operation are of paramount importance. The aim of research is to present a hybrid model based on weighted sum and scale method to optimise the operation of gas transmission networks. The model has two objective functions: 1) minimisation of the operation and annual maintenance costs; 2) optimisation of the system performance during its useful life. Hybridisation of the two objective functions has been the main focus of this research. The proposed model was tested on a real case, which data was provided by National Iranian Gas Company, and solved using particle swarm optimisation (PSO) algorithm, with the results indicating appropriate efficiency of the presented model for solving real cases. Journal: Int. J. of Logistics Systems and Management Pages: 46-60 Issue: 1 Volume: 36 Year: 2020 Keywords: hybrid model; weighted sum method; scale method; particle swarm optimisation; PSO; optimisation; gas transmission. File-URL: http://www.inderscience.com/link.php?id=107213 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:46-60 Template-Type: ReDIF-Article 1.0 Author-Name: Marco Remondino Author-X-Name-First: Marco Author-X-Name-Last: Remondino Title: Augmented reality in logistics: qualitative analysis for a managerial perspective Abstract: Immersive technologies, namely virtual and augmented reality, are witnessing a growth in popularity, especially in creative fields, like videogames and film businesses. These technologies can also be effectively applied in other industrial sectors and their use can foster value creation and enhance efficiency and effectiveness, in a managerial perspective. The applications of augmented reality are analysed within the industrial field of logistics, according to three directives: training, operations and transport. A qualitative analysis is carried on to identify potential uses in this (and related) fields and a managerial perspective are proposed, identifying specific KPIs and heuristics for the three aforementioned areas. Results from the literature, field analysis and classification through KPIs point to effective utilisations of AR in logistics, both for training new (and often temporary) resources and in specific and core operations, like picking in warehouses and transport of goods. Journal: Int. J. of Logistics Systems and Management Pages: 1-15 Issue: 1 Volume: 36 Year: 2020 Keywords: augmented reality; logistics; value creation; training; warehouse operations; transport; managerial KPIs. File-URL: http://www.inderscience.com/link.php?id=107218 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:1-15 Template-Type: ReDIF-Article 1.0 Author-Name: Abu Hashan Md Mashud Author-X-Name-First: Abu Hashan Md Author-X-Name-Last: Mashud Title: An EOQ deteriorating inventory model with different types of demand and fully backlogged shortages Abstract: The objective of this paper is to develop a deteriorating EOQ inventory model according to consideration of the price, stock dependent demand and fully backlogged shortages. In this model, it is described that the demand functions are: 1) a linear price with stock dependent; 2) price with negative power of constant; 3) exponential function of the price. The deterioration is considered as an instantaneous, i.e., when the item stock in retailer's house after any time deterioration will start. If there any shortages are allowed then it is fully backlogged. The corresponding inventory problem forms a nonlinear constraint optimisation problem. To optimise the problems, the Taylor series expansion is used and considered up to second order term to find the closed form of cycle length and total cost. To validate our result, a comparative approach between our result and some of other meta-heuristics algorithm is given. Also, a sensitivity analysis is being carried out to study the effect of changes of different inventory parameters while changing one parameter at a time and keeping the others value of parameters unchanged. Journal: Int. J. of Logistics Systems and Management Pages: 16-45 Issue: 1 Volume: 36 Year: 2020 Keywords: fully backlogged shortages; inventory; deterioration; different price dependent demand. File-URL: http://www.inderscience.com/link.php?id=107220 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:16-45 Template-Type: ReDIF-Article 1.0 Author-Name: Shekhar Singh Author-X-Name-First: Shekhar Author-X-Name-Last: Singh Author-Name: Sandeep Srivastava Author-X-Name-First: Sandeep Author-X-Name-Last: Srivastava Title: Exploring the moderating role of product type in Indian m-commerce fashion and electronics market Abstract: With m-commerce now contributing up to 70% of total sales for Indian e-tailers, research efforts into related marketing strategies tailored for improved customer experience across touch points and platforms have intensified. This paper has two main objectives: to empirically test a research model advancing the understanding of smartphone-based mobile shopping in India and to study the impact of product purchase context on consumer behaviour through a multi-group analysis performed on two broad product categories, i.e., electronics and fashion. Structural equation modelling was performed on primary data collected from 344 existing online customers in order to validate and examine the proposed research model. The findings provided evidence regarding the importance of perceived usefulness, perceived risk and perceived self-efficacy for long-term continued usage. Additionally, the findings also revealed the moderation influence of product type on two relationships: one between perceived risk and purchase intention and second between perceived self-efficacy and purchase intention. Journal: Int. J. of Logistics Systems and Management Pages: 61-91 Issue: 1 Volume: 36 Year: 2020 Keywords: e-commerce; electronic commerce; m-commerce; online shopping; moderation effect; product type; traditional platform; smartphone. File-URL: http://www.inderscience.com/link.php?id=107227 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:61-91 Template-Type: ReDIF-Article 1.0 Author-Name: Shiva Zandkarimkhani Author-X-Name-First: Shiva Author-X-Name-Last: Zandkarimkhani Author-Name: Mohammad Mahdi Nasiri Author-X-Name-First: Mohammad Mahdi Author-X-Name-Last: Nasiri Author-Name: Jafar Heydari Author-X-Name-First: Jafar Author-X-Name-Last: Heydari Title: Sustainable open-loop supply chain network design considering location routing problem: a hybrid approach based on FAHP, FTOPSIS, and mathematical programming Abstract: This paper proposes a two-stage approach for designing the sustainable reverse supply chain network. In the first stage of the proposed approach, the values of potential locations from the social perspective will be evaluated and computed using a hybrid approach of fuzzy analytic hierarchy process (FAHP) and fuzzy TOPSIS (FTOPSIS). Then, in the second stage, a multi-objective mixed-integer linear programming model is applied to develop a sustainable open-loop supply chain network for cost minimisation and for the maximisation of the social value of the established locations. In the proposed model, location-routing decisions, discounts on purchases from suppliers, storage, and encountering with shortages are simultaneously taken into account. Finally, the proposed model is validated using the data of a PET manufacturing company in Iran. The results confirm the efficiency and effectiveness of the proposed approach. Journal: Int. J. of Logistics Systems and Management Pages: 92-123 Issue: 1 Volume: 36 Year: 2020 Keywords: reverse logistics; sustainable supply chain; mathematical programming; multi-criteria decision making; fuzzy theory. File-URL: http://www.inderscience.com/link.php?id=107229 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:92-123 Template-Type: ReDIF-Article 1.0 Author-Name: Ehsan Ardjmand Author-X-Name-First: Ehsan Author-X-Name-Last: Ardjmand Author-Name: Eyad M. Youssef Author-X-Name-First: Eyad M. Author-X-Name-Last: Youssef Author-Name: Adam Moyer Author-X-Name-First: Adam Author-X-Name-Last: Moyer Author-Name: William A. Young II Author-X-Name-First: William A. Young Author-X-Name-Last: II Author-Name: Gary R. Weckman Author-X-Name-First: Gary R. Author-X-Name-Last: Weckman Author-Name: Heman Shakeri Author-X-Name-First: Heman Author-X-Name-Last: Shakeri Title: A multi-objective model for minimising makespan and total travel time in put wall-based picking systems Abstract: In this study, a multi-objective order batching and picker routing model for minimising the total travel time and makespan in a put wall-based picking system is proposed. A put wall is a hardware composed of containers that is usually used as a sorting station. Put walls usually have limited capacity and can accommodate only a part of received orders at a time. Thus, in put wall-based picking systems, order batching and picker routing should be considered along with the scheduling of the orders on the put wall. To solve the problem, a genetic algorithm (GA), a coevolutionary genetic algorithm (COGA) and an archived multi-objective simulated annealing (AMOSA) are proposed. It is found that GA and COGA offer a more diverse set of solutions to the problem compared to AMOSA. Journal: Int. J. of Logistics Systems and Management Pages: 138-176 Issue: 1 Volume: 36 Year: 2020 Keywords: order batching; picker routing; order picking; put wall; genetic algorithm; simulated annealing. File-URL: http://www.inderscience.com/link.php?id=107230 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:138-176 Template-Type: ReDIF-Article 1.0 Author-Name: Hosseinali Rastegari Author-X-Name-First: Hosseinali Author-X-Name-Last: Rastegari Author-Name: Seyed Hasan Hosseini Author-X-Name-First: Seyed Hasan Author-X-Name-Last: Hosseini Author-Name: Hasanali Ghayoor Author-X-Name-First: Hasanali Author-X-Name-Last: Ghayoor Title: Designing and developing the strategic foresight capabilities of medical universities in the accidents and crises of the country with emphasis on human resource agility Abstract: The purpose of this study was to design and develop the strategic foresight capabilities for crisis management with respect to the mediating role of human resource agility in Universities of Medical Sciences of Isfahan, Shahre Kord, Kashan and Yazd. In this study, the research components and variables were identified based on the research background and using the Delphi method. The statistical population includes managers and experts, who overall were 160 people. The results showed that the impact of strategic foresight capabilities on crisis management is 37%, which means that 37% of the crisis management changes are related to the strategic foresight capabilities; also it was found that the strategic foresight capabilities influenced the human resources agility as much as 95%, which means that 95% of the human resource agility changes are due to strategic foresight capabilities, and that the human resource agility affected (55%) on crisis management. Journal: Int. J. of Logistics Systems and Management Pages: 124-137 Issue: 1 Volume: 36 Year: 2020 Keywords: strategic foresight capabilities; human resource agility; unforeseen events; crisis management. File-URL: http://www.inderscience.com/link.php?id=107238 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:1:p:124-137 Template-Type: ReDIF-Article 1.0 Author-Name: Malika Nisal Ratnayake Author-X-Name-First: Malika Nisal Author-X-Name-Last: Ratnayake Author-Name: Voratas Kachitvichyanukul Author-X-Name-First: Voratas Author-X-Name-Last: Kachitvichyanukul Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: A meta-heuristic for a bi-objective multi-commodity green distribution network Abstract: This paper presents a bi-objective optimisation model for solving the location-allocation problem (LAP) of a distribution network that consists of four echelons including suppliers, manufacturing plants, distribution centres and customers. Multiple product types and raw materials are considered. A bi-objective mathematical model is formulated to minimise the total costs and the greenhouse gas emissions arising from the location-allocation decisions. A meta-heuristic algorithm is developed to solve the proposed mathematical model. The proposed algorithm was implemented using multi-objective particle swarm optimisation (MOPSO) and multi-objective differential evolution (MODE) solution methods and results were analysed. Journal: Int. J. of Logistics Systems and Management Pages: 282-304 Issue: 2 Volume: 36 Year: 2020 Keywords: location-allocation problem; LAP; multi-commodity distribution network problem; multiple objective optimisation; green supply chain design; meta-heuristics. File-URL: http://www.inderscience.com/link.php?id=107384 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:282-304 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Ali Elleuch Author-X-Name-First: Mohamed Ali Author-X-Name-Last: Elleuch Author-Name: Ahmed Frikha Author-X-Name-First: Ahmed Author-X-Name-Last: Frikha Title: Optimising multi-objective facility location/allocation using the fuzzy group decision making Abstract: Selecting a set of potential facility sites is a difficult multi-criteria issue and the objectives weighting is a critical part of the decision making process. However, in order to include as much information as possible, analysts usually try to combine the opinions of several experts. This paper work presents a hybrid approach based on the actual conditions of a case study and on the opinions of four industrial Tunisian experts. The overall objective of this paper is to consider multi-criteria to calculate global priority weights using the fuzzy analytic hierarchy process (FAHP) and PROMETHEE method. After that, a new multi-objective facility location/allocation problem model, which combines FAHP-PROMETHEE and mathematical programming (MP), namely the PROMETHEE-MP model, is tested. The novelty of the proposed model is the simultaneous combination of relevant factors, which are difficult to interpret and cost factors which require network distribution. Journal: Int. J. of Logistics Systems and Management Pages: 224-250 Issue: 2 Volume: 36 Year: 2020 Keywords: location/allocation problem; criteria weighting; expert opinions; FMCDM; FAHP-PROMETHEE; PROMETHEE-MP. File-URL: http://www.inderscience.com/link.php?id=107385 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:224-250 Template-Type: ReDIF-Article 1.0 Author-Name: Amir Karbassi Yazdi Author-X-Name-First: Amir Karbassi Author-X-Name-Last: Yazdi Author-Name: Yong J. Wang Author-X-Name-First: Yong J. Author-X-Name-Last: Wang Author-Name: Alireza Rashidi Komijan Author-X-Name-First: Alireza Rashidi Author-X-Name-Last: Komijan Title: Green supply chain management in an emerging economy: prioritising critical success factors using grey-permutation and genetic algorithm Abstract: This study attempts to find and prioritise critical success factors (CSFs) for green supply chain management (GSCM) in an emerging economy. First, extant literature is reviewed and initial 67 CSFs from previous studies are extracted. Then, responses are collected from logistics industry leaders in Iran based on Delphi method. The remaining 41 CSFs are prioritised by grey-permutation method and genetic algorithm. The ranking of the 41 CSFs for GSCM is created and then discussed. The ranking provides important implications for implementing GSCM in emerging economies and draws managers' attention to critical issues in an uncertainty environment. Journal: Int. J. of Logistics Systems and Management Pages: 199-223 Issue: 2 Volume: 36 Year: 2020 Keywords: green supply chain management; GSCM; grey relational analysis; GRA; permutation; multi-criteria decision making; critical success factor; CSF; genetic algorithm; GA; logistics; emerging economy. File-URL: http://www.inderscience.com/link.php?id=107386 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:199-223 Template-Type: ReDIF-Article 1.0 Author-Name: Mahdi Shafiei Author-X-Name-First: Mahdi Author-X-Name-Last: Shafiei Author-Name: Mohammad Modarres Author-X-Name-First: Mohammad Author-X-Name-Last: Modarres Title: Optimisation of an integrated parallel distribution system by including network marketing Abstract: Network marketing is a business model that depends upon a network of distributors for growth, such as in multilevel marketing. A direct selling method features independent agents that make up a distribution network for goods and services. This paper provides a framework to study the network marketing by adopting the traditional channel. To motivate all distributers in network marketing as well as retailers, it is required to design a well-balanced distribution and pricing system. The allocated commission for distributers in different layers of network marketing is part of pricing system, which is vital. In this paper, we develop an approach to determine all elements of system, including product price, wholesale price as well as commissions in network marketing simultaneously. A game model is applied to optimise the pricing and determine commission and number of layer of network marketing structure. A numerical example illustrates our proposed approach for better understanding. Journal: Int. J. of Logistics Systems and Management Pages: 305-318 Issue: 2 Volume: 36 Year: 2020 Keywords: distribution channel; pricing; network marketing; optimisation; game theory. File-URL: http://www.inderscience.com/link.php?id=107387 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:305-318 Template-Type: ReDIF-Article 1.0 Author-Name: Sameh M. Saad Author-X-Name-First: Sameh M. Author-X-Name-Last: Saad Author-Name: Ramin Bahadori Author-X-Name-First: Ramin Author-X-Name-Last: Bahadori Title: Logistics capabilities measurement in the fractal supply network Abstract: Measurement of logistics capabilities will enable firms to provide order winners by adding value for products and services during the different stage of supply chain to win the competition and enhance firm's performance and customer's satisfaction. Therefore, the purpose of this research is to develop a fuzzy-AHP multi-criteria decision-making model to measure logistics capabilities in the fractal supply network. The key areas of measurement within a fractal supply network are identified and a hierarchical model is proposed with a set of generic measures. In addition, a questionnaire is developed for pair-wise comparison and to collect opinions from practitioners, researchers and managers to validate the proposed model. The relative importance of the measurement criteria is assessed using analytic hierarchy process (AHP) and fuzzy-AHP. Hence, the validity of the model is confirmed with the results obtained. Journal: Int. J. of Logistics Systems and Management Pages: 251-281 Issue: 2 Volume: 36 Year: 2020 Keywords: fractal supply network; logistics capabilities measurement; supply chain; multi-criteria decision-making; fuzzy-AHP. File-URL: http://www.inderscience.com/link.php?id=107388 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:251-281 Template-Type: ReDIF-Article 1.0 Author-Name: Alvand Sadeghi Author-X-Name-First: Alvand Author-X-Name-Last: Sadeghi Author-Name: Hassan Mina Author-X-Name-First: Hassan Author-X-Name-Last: Mina Author-Name: Niloofar Bahrami Author-X-Name-First: Niloofar Author-X-Name-Last: Bahrami Title: A mixed integer linear programming model for designing a green closed-loop supply chain network considering location-routing problem Abstract: In today's business environment, reusing the products could result in a great deal of supply chains cost reductions. Additionally, environmental regulations and customers' increasing expectations leave companies no choice but applying the return policy. In this regard, designing a supply chain network incorporating the reverse flow can provide environmental requirements in addition to economic objectives. In this paper, a new mixed integer linear programming (MILP) model is developed for a closed-loop supply chain network (CLSCN) design. The proposed model is multi-period and multi-product that covers facility location and routing of heterogeneous vehicle fleets, simultaneously. The efficiency of the model is validated based on a real case in production and distribution chain of automotive spare parts manufacturing company in Iran. Managerial insights are gained through the numerical results. Journal: Int. J. of Logistics Systems and Management Pages: 177-198 Issue: 2 Volume: 36 Year: 2020 Keywords: closed-loop supply chain; location-routing problem; mixed integer linear programming model. File-URL: http://www.inderscience.com/link.php?id=107389 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:177-198 Template-Type: ReDIF-Article 1.0 Author-Name: Hassan Arabshahi Author-X-Name-First: Hassan Author-X-Name-Last: Arabshahi Author-Name: Hamed Fazlollahtabar Author-X-Name-First: Hamed Author-X-Name-Last: Fazlollahtabar Title: Supply chain innovation performance evaluation based on the cross-efficiency concept: case study of Supply Chain Innovation Award's winners, runner-ups and finalists Abstract: This paper suggests a DEA-based structure for efficiency evaluation of supply chain innovations considering innovation risk and performance improvement. In this model, risk paradigms of supply chain innovation and popular supply chain performance measures are considered as the input and output of CCR-output oriented model respectively. Defect of DEA in ranking the efficient units has been solved by cross-efficiency concept and a practical case study of Supply Chain Innovation Award's winners, runner-ups and finalists is implemented. The obtained results lead to develop the 'effective innovation' concept within the supply chain management field which provides an innovation with the lowest possible risk and the highest positive effect on supply chain performance measures. Journal: Int. J. of Logistics Systems and Management Pages: 343-369 Issue: 3 Volume: 36 Year: 2020 Keywords: supply chain innovation; SCI; innovation risk; efficiency evaluation; data envelopment analysis; DEA; Supply Chain Innovation Award. File-URL: http://www.inderscience.com/link.php?id=108692 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:343-369 Template-Type: ReDIF-Article 1.0 Author-Name: Carlos Alberto Schettini Pinto Author-X-Name-First: Carlos Alberto Schettini Author-X-Name-Last: Pinto Author-Name: Augusto Da Cunha Reis Author-X-Name-First: Augusto Da Cunha Author-X-Name-Last: Reis Author-Name: Marco Braga Author-X-Name-First: Marco Author-X-Name-Last: Braga Title: The supply chain as part of knowledge management in organisational environments Abstract: The objective of this study is to evaluate how the existing processes flow in supply chain management (SCM) and knowledge management (KM) work and how they are applied in organisational environments. Both areas of knowledge - knowledge management and supply chain management - are usually handled independently. Based on the review of the literature, mainly with the databases of Science Direct and Emerald, we propose a hybrid model that embraces the two forms of interaction. Finally, the article presents the conclusions of the study and presents proposals for future research. Journal: Int. J. of Logistics Systems and Management Pages: 385-398 Issue: 3 Volume: 36 Year: 2020 Keywords: supply chain; knowledge management; collaborative intelligence; organisational environments. File-URL: http://www.inderscience.com/link.php?id=108693 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:385-398 Template-Type: ReDIF-Article 1.0 Author-Name: Shubham Tripathi Author-X-Name-First: Shubham Author-X-Name-Last: Tripathi Author-Name: Manish Gupta Author-X-Name-First: Manish Author-X-Name-Last: Gupta Title: Transforming towards a smarter supply chain Abstract: Present day supply chains are becoming complex and uncertain, and numerous technological innovations are being incorporated to enhance them, making supply chains smarter. The purpose of this paper is to build up a transformation map to move towards smart supply chain. The paper presents a framework to formulate transformation strategy and discusses implementation strategy in detail. Several factors to consider while taking the transformation decision are also discussed. Various reported case studies and actual implementation reports of individual technologies are considered to understand and report the impacts (observed and speculated) of these transformations. Smart supply chains are critical for Industry 4.0 (fourth industrial revolution) and their need has been highlighted by numerous researchers but the literature on how to evolve into one is scant. Understanding transformation towards smart supply chain and its impacts will guide and motivate practitioners in restructuring their supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 319-342 Issue: 3 Volume: 36 Year: 2020 Keywords: supply chain transformation; supply chain innovation; smart supply chain; enabling technologies; digitisation; digital supply chain; Industry 4.0; smart. File-URL: http://www.inderscience.com/link.php?id=108694 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:319-342 Template-Type: ReDIF-Article 1.0 Author-Name: Peter Nielsen Author-X-Name-First: Peter Author-X-Name-Last: Nielsen Author-Name: Zbigniew Michna Author-X-Name-First: Zbigniew Author-X-Name-Last: Michna Author-Name: Subrata Saha Author-X-Name-First: Subrata Author-X-Name-Last: Saha Title: A note on the stochastic nature of lead times in multi-echelon supply chains Abstract: Recent supply chain research has concluded that stochastic lead times are a significant source of bullwhip effect in reorder-based supply chains. Despite this, the study of lead times and their nature has received remarkably little attention in literature. In this research we prove there exists an interdependency between lead time and service level measure, and thus the magnitude of the bullwhip effect. In a multi-echelon supply chain setting, the decision maker can experience disproportionate bullwhip effect. One cause of this is the fact that lead time distribution may likely stem from skewed and peaked distributions. As a member of a multi-echelon supply chain, a firm can experience an order variance that depend on the total number of echelon and information about their lead-time dependencies. These results correspond well with the few contributions found in literature showing actual lead times. Journal: Int. J. of Logistics Systems and Management Pages: 399-413 Issue: 3 Volume: 36 Year: 2020 Keywords: stochastic lead times; bullwhip effect; supply chain. File-URL: http://www.inderscience.com/link.php?id=108695 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:399-413 Template-Type: ReDIF-Article 1.0 Author-Name: Junko Hosoda Author-X-Name-First: Junko Author-X-Name-Last: Hosoda Author-Name: Takashi Irohara Author-X-Name-First: Takashi Author-X-Name-Last: Irohara Title: Location routing problem with delivery modes Abstract: To realise efficient delivery, the location routing problem (LRP), which determines the locations of the facility and the vehicle routes, needs to be solved. Previous studies have attempted to improve the delivery efficiency of a route delivery, which is an efficient delivery mode if customers are densely located. However, if customers are sparsely located, route delivery is not efficient because the fixed costs of the vehicle become too expensive. In this case, courier delivery, i.e., delivery by a third party, is more efficient than route delivery because the courier delivery costs are proportional to the weight of the delivery amount and delivery distance. In this paper, we extended the LRP model to add the courier delivery model. Our model can select a suitable delivery mode for each customer by evaluating the trade-off between the courier delivery costs and the route delivery costs. The results of numerical experiments are shown. Journal: Int. J. of Logistics Systems and Management Pages: 370-384 Issue: 3 Volume: 36 Year: 2020 Keywords: location routing problem; LRP; delivery mode; mixed integer programming; MIP; courier delivery. File-URL: http://www.inderscience.com/link.php?id=108696 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:370-384 Template-Type: ReDIF-Article 1.0 Author-Name: K. Mathiyazhagan Author-X-Name-First: K. Author-X-Name-Last: Mathiyazhagan Author-Name: Siddharth Nangia Author-X-Name-First: Siddharth Author-X-Name-Last: Nangia Author-Name: A. Senthilkumar Author-X-Name-First: A. Author-X-Name-Last: Senthilkumar Author-Name: K. Elangovan Author-X-Name-First: K. Author-X-Name-Last: Elangovan Author-Name: Savita K. Sugathan Author-X-Name-First: Savita K. Author-X-Name-Last: Sugathan Title: Modelling the interrelationship of risks for green supply chain management adoption: a DEMATEL approach Abstract: The present paper provides an analysis of architecture of risks for green supply chain management (GSCM) implementation in Indian paper industries. Literature and opinions of the industrial experts are used to construct the conceptual framework of risks for green supply chain management in an Indian paper industry. The objectives of this study are to analyse and identify the interrelationship between the risks for the GSCM in Indian paper industries perspective. With the literature survey and interaction with industrial experts, 32 risks under six categories were identified and with further interaction with experts 20 risks were considered for Indian paper industry perspective. Then the decision making trial and evaluation laboratory (DEMATEL) method is applied on the selected risks and key risks are found. The analysis indicates that industries need to develop better supplier relationships in order to minimise the environmental impact of a product. The findings of the study could be helpful for the industry to manage the risks and successfully implement green supply chain activities in the business. Journal: Int. J. of Logistics Systems and Management Pages: 414-440 Issue: 3 Volume: 36 Year: 2020 Keywords: green supply chain management; GSCM; risk; interrelationship; paper industry; DEMATE. File-URL: http://www.inderscience.com/link.php?id=108705 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:414-440 Template-Type: ReDIF-Article 1.0 Author-Name: Samir Yerpude Author-X-Name-First: Samir Author-X-Name-Last: Yerpude Author-Name: Tarun Kumar Singhal Author-X-Name-First: Tarun Kumar Author-X-Name-Last: Singhal Title: IoT supported SMART supply chain management for effective online retail management (e-retail) - an empirical research Abstract: The research study presents the study of the agile supply chain working as the backbone for an online retail e-commerce system and validates the success factors for an online retail system leading to customer retention. There are some evident reasons for the customers to shop online such as low prices, shopping convenience, easy to compare, free shipping, time-saving, ease of buying and range of products. There needs to be a real-time alignment of both data and physical flow of goods in order to meet the customer expectations. Millions and billions of things are connected over the internet to form a mesh of nodes where the data gathered from these things, i.e., sensors is transferred over the internet. Such an integrated landscape of network-connected things is 'internet of things'. This data is collated to a single console for taking meaningful decisions and improving the operational performance of the organisation. Journal: Int. J. of Logistics Systems and Management Pages: 441-461 Issue: 3 Volume: 36 Year: 2020 Keywords: online retail; agile supply chain management; real-time data; internet of things; IoT; e-commerce; online customers. File-URL: http://www.inderscience.com/link.php?id=108708 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:3:p:441-461 Template-Type: ReDIF-Article 1.0 Author-Name: M. Vishnu Author-X-Name-First: M. Author-X-Name-Last: Vishnu Author-Name: D. Jayakrishnan Author-X-Name-First: D. Author-X-Name-Last: Jayakrishnan Author-Name: T. Radha Ramanan Author-X-Name-First: T. Radha Author-X-Name-Last: Ramanan Title: A DEA approach for evaluation of operational efficiency: case study of a logistics firm Abstract: Cost minimisation is one of the key challenges faced by logistic industries across the world. As the number of customers increases, it becomes absolutely essential to make maximum utilisation of the existing resources to ensure quality customer service. The huge amount of data available with the firm under study is analysed using data envelopment analysis (DEA) and turned into valuable insights that could be used by management in taking right informed decision. The results show that about half of the transporters have efficiency value less than the average, indicating a huge scope for improvement. Related suggestions for efficiency improvement using DEA slack results are also presented. The decision making units (DMU) that are considered are the individual trucks. The findings of the study provide useful insights to the management in decision making at all the three levels, viz. operational, tactical and strategic. Journal: Int. J. of Logistics Systems and Management Pages: 517-530 Issue: 4 Volume: 36 Year: 2020 Keywords: logistic firms; efficiency; data envelopment analysis; DEA; decision making units; DMU. File-URL: http://www.inderscience.com/link.php?id=108929 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:517-530 Template-Type: ReDIF-Article 1.0 Author-Name: Kimsy Gulhane Author-X-Name-First: Kimsy Author-X-Name-Last: Gulhane Title: Enhancing queuing efficiency using discrete event simulation Abstract: Operational efficiency of the hospitals should be taken care of. Purpose of research is to manage queues in hospital through simulation. For simulation, data is collected from real or original system. Arrival times of patients and service time of the server is collected from hospital. Data is identified with a particular distribution and then new data is generated using random variate generator of that distribution. Simulation is conducted and output is analysed. If one server is overloaded, then suggestion to add another server is given. The hospital keeps a benchmark that waiting time should not be more than two minutes. Waiting time in queue is calculated with two servers. Then t-test is applied to check the benchmark. The objectives of the research are: 1) to analyse the existing queuing system using discrete event simulation; 2) to suggest the changes in the system; 3) to analyse the performance of the system after change. This research aims to contribute to the body of knowledge. Issues in hospital are resolved through simulation and modifications in queuing are done. Journal: Int. J. of Logistics Systems and Management Pages: 531-546 Issue: 4 Volume: 36 Year: 2020 Keywords: queuing system; discrete event simulation; replications in simulation. File-URL: http://www.inderscience.com/link.php?id=108930 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:531-546 Template-Type: ReDIF-Article 1.0 Author-Name: Samia Laghrabli Author-X-Name-First: Samia Author-X-Name-Last: Laghrabli Author-Name: Loubna Benabbou Author-X-Name-First: Loubna Author-X-Name-Last: Benabbou Author-Name: Abdelaziz Berrado Author-X-Name-First: Abdelaziz Author-X-Name-Last: Berrado Title: Mapping supplier selection methods and criteria in the scoring and assessment sourcing process: case of logistics activities Abstract: This research brings to evidence interesting associations between supplier selection methods and criteria when outsourcing logistics activities. The study was conducted in two phases. First phase dealt with a systematic literature review that was carried out to identify characteristics of the supplier scoring and assessment process. It generated an exhaustive presentation and classification of supplier selection methods and criteria needed for evaluation and selection of logistics suppliers. Second phase handled an association analysis which allowed to unfold interesting associations between supplier selection methods and criteria. This research study yielded important findings, that is, the criteria and methods typically used for supplier scoring and assessment are not homogeneous across logistics activities. In general, each logistics activity is linked to specific selection methods and criteria. Meanwhile, some interesting high order association rules linking supplier selection methods to selection criteria emerged to be commonly used across all the logistics activities. Journal: Int. J. of Logistics Systems and Management Pages: 495-516 Issue: 4 Volume: 36 Year: 2020 Keywords: logistics; outsourcing; associations rules; supplier selection methods; supplier selection criteria; supplier scoring; assessment. File-URL: http://www.inderscience.com/link.php?id=108931 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:495-516 Template-Type: ReDIF-Article 1.0 Author-Name: Andrés Polo Author-X-Name-First: Andrés Author-X-Name-Last: Polo Author-Name: Dairo Muñoz Author-X-Name-First: Dairo Author-X-Name-Last: Muñoz Author-Name: Adrián Cañon Author-X-Name-First: Adrián Author-X-Name-Last: Cañon Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Title: Methodology for robustness analysis to supply chain disruptions Abstract: The objective of this paper is to develop a dynamic mixed integer linear programming model (MILP) of analysis of robustness to supply chain disruptions. The proposed approach allows analysing different causes of disruptions for supply chains, and how these interruptions prevent the bottom-of-the-pyramid (BoP) organisations from fulfilling their purpose of eradicating poverty. Critical operational performance indicators were used to evaluate the impacts of interruptions at the beginning of the supply chain and their implications for the BoP organisations. We consider different types of disruptions that mainly affect the first links of the chain of the BoP. In addition, the proposed approach measured the impact of the demand satisfaction of final products for the same population. The efficiency of the proposed approach has been tested using real data obtained from a dairy supply chain management in Cundinamarca (Colombia). The obtained results show the benefits of the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 547-588 Issue: 4 Volume: 36 Year: 2020 Keywords: bottom-of-the-pyramid markets; supply chain disruptions; robustness; milk supply chain. File-URL: http://www.inderscience.com/link.php?id=108952 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:547-588 Template-Type: ReDIF-Article 1.0 Author-Name: V. Raja Sreedharan Author-X-Name-First: V. Raja Author-X-Name-Last: Sreedharan Author-Name: Vimal Kek Author-X-Name-First: Vimal Author-X-Name-Last: Kek Author-Name: M. Dhanya Author-X-Name-First: M. Author-X-Name-Last: Dhanya Author-Name: S. Anjali Author-X-Name-First: S. Author-X-Name-Last: Anjali Author-Name: P. Arunprasad Author-X-Name-First: P. Author-X-Name-Last: Arunprasad Title: Understanding the role of logistics in humanitarian operations: key findings and analysis from literatures Abstract: The study aims to provide a prevalent and systematised understanding into the contemporary publications on humanitarian logistics to observe trends and to propose an agenda for future exploration, based on gaps detected through the systematic analysis. A thorough review of scholarly articles from conference proceeding and peer-reviewed journal articles addressing humanitarian logistics (HLs) was attained. The content analysis (CA) approach comprising of four-step put forward by Mayring (2004) was used to conduct the review of the literature. In conducting the study, the researchers understood the core of logistics in humanitarian operations and proposed a MAPA model, to manage challenges and to address the precise needs of relief measures. The reliability of the study could be further enlarged by testing the CSF and challenges of HL. Humanitarian logistics is a subject that formerly has been discussed qualitatively in the study. This work bestows researchers with a new model to address the challenges faced in HL. Journal: Int. J. of Logistics Systems and Management Pages: 463-494 Issue: 4 Volume: 36 Year: 2020 Keywords: humanitarian logistics; relief operation; MAPA model; supply chain. File-URL: http://www.inderscience.com/link.php?id=108961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:463-494 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin Modgil Author-X-Name-First: Sachin Author-X-Name-Last: Modgil Author-Name: Rohit Kr. Singh Author-X-Name-First: Rohit Kr. Author-X-Name-Last: Singh Author-Name: Vanadana Sonwaney Author-X-Name-First: Vanadana Author-X-Name-Last: Sonwaney Title: Supply chain routine issues in Indian FMCG manufacturing firm Abstract: Supply chain is an integral part of operations at any firm especially in manufacturing environment. Supply chain also helps in managing and coordinating the business activities effectively. Today, every business needs to look for the changes that are impacting the business. This continuous monitoring of the market helps firms to make strategic moves to keep business successfully. The sustainable objective of the firm can be achieved with the help of smoothly running supply chain system. The present study aims to analyse a case from biscuit manufacturing company from India. The study identifies the status of firm performance in supply chain and identification of issues. The study can provide the solutions for tangible and intangible benefits for the firm. A situations-actors-processes-learning-action-performance (SAP-LAP) approach has been applied. This analysis can help the firm to compare the existing status of performance with preferred performance for the firm. Journal: Int. J. of Logistics Systems and Management Pages: 18-37 Issue: 1 Volume: 37 Year: 2020 Keywords: performance issues; supply chain management; SCM; SAP-LAP; biscuit manufacturing. File-URL: http://www.inderscience.com/link.php?id=109648 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:18-37 Template-Type: ReDIF-Article 1.0 Author-Name: Fahimeh Rahmanniyay Author-X-Name-First: Fahimeh Author-X-Name-Last: Rahmanniyay Author-Name: Jafar Razmi Author-X-Name-First: Jafar Author-X-Name-Last: Razmi Author-Name: Andrew J. Yu Author-X-Name-First: Andrew J. Author-X-Name-Last: Yu Title: An interactive multi-objective fuzzy linear programming model for hub location problems to minimise cost and delay time in a distribution network Abstract: Hub location models are used to design a distribution network. Hubs are particular facilities that work as connecting, and dispatching points in distribution systems. This study presents a new multi-objective mixed-integer linear programming model for a multi-capacity p-hub median problem under uncertainty. Since delivery time is one of the essential factors considered in the design of a distribution network, the presented model aims to minimise the shipment and establishment cost, as well as delay time of a distribution network in a supply chain where demand, transportation time and establishment cost are uncertain. To cope with these uncertainties and the multiple objectives in the model, we applied an interactive fuzzy framework. Furthermore, the viability and effectiveness of the model and the framework are explored with a number of sensitivity and business analyses. Journal: Int. J. of Logistics Systems and Management Pages: 79-105 Issue: 1 Volume: 37 Year: 2020 Keywords: supply chain; distribution network; hub location problem; HLP; multi-objective; fuzzy multi-objective linear programming; FMOLP; delay time; uncertainty; logistics. File-URL: http://www.inderscience.com/link.php?id=109649 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:79-105 Template-Type: ReDIF-Article 1.0 Author-Name: Gun-Woo Lee Author-X-Name-First: Gun-Woo Author-X-Name-Last: Lee Author-Name: Chan-Young Jun Author-X-Name-First: Chan-Young Author-X-Name-Last: Jun Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Author-Name: Min-Kyu Lee Author-X-Name-First: Min-Kyu Author-X-Name-Last: Lee Title: Assessing the impact of containership size on port demand and infrastructure development: a case study of the Busan hub port Abstract: In parallel with the continuous growth of international trade, the size of containerships has grown rapidly over the last several decades. The rationale being that the larger the capacity of a containership, the lower the shipping cost per TEU and the greater the shipping volume it can handle. The increased use of larger containerships, however, causes serious concerns for many ports around the world, since the existing port infrastructure and shipping network configurations are not designed to handle mega-containerships such as post-Panamax containerships. One of those concerns includes the vicious circle of never-ending port capacity expansion following the vessel size arms race. To ease such concern, the port authority should develop wise port development and reconfiguration strategies, which can accommodate the need for larger vessels and subsequently increase port revenue while minimising the financial burden associated with port development and reconfiguration. With this in mind, we examined whether the port's ability to handle larger containerships had any impact on its attractiveness for inducing greater demand based on the case study of the Busan hub port in Korea. Journal: Int. J. of Logistics Systems and Management Pages: 55-78 Issue: 1 Volume: 37 Year: 2020 Keywords: maritime logistics; port demand management; stochastic model; case study. File-URL: http://www.inderscience.com/link.php?id=109653 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:55-78 Template-Type: ReDIF-Article 1.0 Author-Name: Camila Lima Bazani Author-X-Name-First: Camila Lima Author-X-Name-Last: Bazani Author-Name: Janser Moura Pereira Author-X-Name-First: Janser Moura Author-X-Name-Last: Pereira Author-Name: Edvalda Araujo Leal Author-X-Name-First: Edvalda Araujo Author-X-Name-Last: Leal Title: Logistics Performance Index: what is Brazil's logistics performance in the international market? Abstract: The present study aimed to evaluate, in light of strategic positioning theory, the logistics performance of Brazil in the international market based on the Logistics Performance Index (LPI) presented by the World Bank. It is a descriptive study with a quantitative approach. Data were collected in documents issued by the World Bank and from the World Bank, AliceWeb and UNComtrade databases. Cluster analysis and multiple comparison of means were used to analyse the data. The results showed that Brazil has medium logistics performance compared to other countries. Its worst performance was in the customs dimension and its best was in timeliness. Moreover, developed countries are mostly grouped in the cluster with a high logistics performance. Journal: Int. J. of Logistics Systems and Management Pages: 38-54 Issue: 1 Volume: 37 Year: 2020 Keywords: logistics performance; competitive advantage; Logistics Performance Index; LPI; Brazil. File-URL: http://www.inderscience.com/link.php?id=109658 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:38-54 Template-Type: ReDIF-Article 1.0 Author-Name: Djalma Silva Guimaraes Junior Author-X-Name-First: Djalma Silva Guimaraes Author-X-Name-Last: Junior Author-Name: Carlos Henrique Michels De Sant'anna Author-X-Name-First: Carlos Henrique Michels De Author-X-Name-Last: Sant'anna Author-Name: Eduardo José Oenning Soares Author-X-Name-First: Eduardo José Oenning Author-X-Name-Last: Soares Author-Name: Fagner José Coutinho De Melo Author-X-Name-First: Fagner José Coutinho De Author-X-Name-Last: Melo Author-Name: Denise Dumke De Medeiros Author-X-Name-First: Denise Dumke De Author-X-Name-Last: Medeiros Title: Measurement of logistics service quality of e-commerce Abstract: This study aims to explore the relationship between the quality perceived in the logistics service of internet purchases in Brazil and the dimensions of quality proposed in the SERVPERF model. The quality dimensions contained in the SERVPERF model were the input for the validation of the relationship analysed through structural equation modelling (SEM). The sample of this study consisted of 249 consumers of products purchased through the internet. The results of the application of the SEM evidenced that aspects related to reliability and assurance are significant for the perceived quality formation in e-commerce logistics services. The main contribution of this work focuses on the indicative for e-commerce companies on aspects of the services that can be oriented, in order to improve the perception of the quality of the service provided, as well as, contribute to the expansion of the improvement of this service and economic efficiency of corporate activities. Journal: Int. J. of Logistics Systems and Management Pages: 1-17 Issue: 1 Volume: 37 Year: 2020 Keywords: perceived quality; logistical factors; e-commerce; SERVPERF; modelling structural equations. File-URL: http://www.inderscience.com/link.php?id=109668 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:1-17 Template-Type: ReDIF-Article 1.0 Author-Name: Sara Elzarka Author-X-Name-First: Sara Author-X-Name-Last: Elzarka Title: A study on engaging employees in adopting green logistics practices: the case of logistics service providers in Egypt Abstract: Providing green logistics services became a major marketing tool for logistics service providers (LSPs) to become recognised members of global and sustainable supply chains. In the Middle East and specifically in Egypt, the adoption of green practices is still in its infancy. And according to previous research such as in Elbarky and Elzarka (2015) and Elnakib and Elzarka (2014), organisation culture and employees' engagement are essential for the adoption of new green supply chain practices. Therefore, this research would investigate the role of employees' engagement in logistics service providers in Egypt towards adopting green logistics practices. This research is conducted through an online survey that targets all the registered logistics service companies in Egypt. The contribution of this research is presented in examining the interactions between the employees' engagement in LSPs in Egypt and the adoption of green logistics practices. Journal: Int. J. of Logistics Systems and Management Pages: 140-152 Issue: 1 Volume: 37 Year: 2020 Keywords: logistics service providers; LSPs; supply chain performance; green supply chain; Egypt; sustainability. File-URL: http://www.inderscience.com/link.php?id=109669 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:140-152 Template-Type: ReDIF-Article 1.0 Author-Name: Anastasios Gialos Author-X-Name-First: Anastasios Author-X-Name-Last: Gialos Author-Name: Vasileios Zeimpekis Author-X-Name-First: Vasileios Author-X-Name-Last: Zeimpekis Title: Vision picking technology: defining design parameters via a systematic literature review Abstract: Although various product picking technologies are currently available yet there is still a need for higher productivity and less operational cost. Vision picking through smart glasses and augmented reality seems to be a promising technology. The latter uses wearable and vision-guided picking technologies to produce a faster, hands-free and accurate solution for industrial operations. The aim of this paper is to provide an overview of vision picking technology and identify critical parameters that should be taken into consideration for vision picking system design, development and testing. The research identifies 25 critical parameters that are classified into three categories, namely: a) system parameterisation; b) operational performance; c) comparative assessment with other picking systems. Furthermore, insights about the research path and future research directions in the field of vision picking technology are presented. Last but not least, useful guidelines for practitioners and system designers are also discussed. Journal: Int. J. of Logistics Systems and Management Pages: 106-139 Issue: 1 Volume: 37 Year: 2020 Keywords: content analysis; logistics 4.0; structural literature review; vision picking; system design parameters. File-URL: http://www.inderscience.com/link.php?id=109673 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:106-139 Template-Type: ReDIF-Article 1.0 Author-Name: Awatif Ragmani Author-X-Name-First: Awatif Author-X-Name-Last: Ragmani Author-Name: Amina El Omri Author-X-Name-First: Amina El Author-X-Name-Last: Omri Author-Name: Noreddine Abghour Author-X-Name-First: Noreddine Author-X-Name-Last: Abghour Author-Name: Khalid Moussaid Author-X-Name-First: Khalid Author-X-Name-Last: Moussaid Author-Name: Mohammed Rida Author-X-Name-First: Mohammed Author-X-Name-Last: Rida Title: A global performance analysis methodology using Taguchi approach: case of cloud computing and supply chain Abstract: Nowadays, performance optimisation is identified as the major asset to maximise the quality-cost ratio of a given system. Particularly, the performance analysis of a complex system involving several processes and a multitude of stakeholders cannot be done without an efficient methodology. During this paper, we aim at the implementation of a generic methodology for performance analysis taking as a framework the case of cloud computing and supply chain. The proposed methodology is based on the fundamental idea of transforming a complex system into a black box which will be analysed through different inputs corresponding to the influential factors and outputs which translate the key performance indicators. The analysis of the interactions between influential factors and key performance indicators is carried out on the basis of the Taguchi concept. The conclusions of the proposed methodology make it possible to identify diverse perspectives in order to enhance the performance of the entire system. Journal: Int. J. of Logistics Systems and Management Pages: 252-284 Issue: 2 Volume: 37 Year: 2020 Keywords: cloud computing; performance methodology; key performance indicator; KPI; balanced scorecard; Taguchi; supply chain. File-URL: http://www.inderscience.com/link.php?id=110559 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:252-284 Template-Type: ReDIF-Article 1.0 Author-Name: Fatima Ezzahra Sebtaoui Author-X-Name-First: Fatima Ezzahra Author-X-Name-Last: Sebtaoui Author-Name: Ahmed Adri Author-X-Name-First: Ahmed Author-X-Name-Last: Adri Author-Name: Said Rifai Author-X-Name-First: Said Author-X-Name-Last: Rifai Title: Literature review on successful JIT implementation: benefits, obstacles and critical success factors Abstract: The aim of this paper is to review the literature related to just-in-time (JIT) implementation. After going through a large number of papers related to the subject, the JIT implementation practices employed by successful manufacturing organisations have been extensively reviewed and analysed. This study also discusses the critical success factors and facilitators of JIT implementation in an organisation, and contains a comprehensive listing of publications in the field of JIT implementation. The study has reported 21 different benefits obtained by companies after a successful JIT implementation. In addition, this research reduces the list to identify the essential benefits that must be focused on. The study further indicates that management commitment, quality management, education and training are the main critical success factors in the JIT implementation, and that management, employee and knowledge are the main obstacles of JIT implementation. Journal: Int. J. of Logistics Systems and Management Pages: 153-172 Issue: 2 Volume: 37 Year: 2020 Keywords: just-in-time; JIT; JIT implementation; inventory management; pull manufacturing; lean manufacturing; waste reduction; kanban; MRP. File-URL: http://www.inderscience.com/link.php?id=110571 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:153-172 Template-Type: ReDIF-Article 1.0 Author-Name: Abid Haleem Author-X-Name-First: Abid Author-X-Name-Last: Haleem Author-Name: Mohd Javaid Author-X-Name-First: Mohd Author-X-Name-Last: Javaid Author-Name: Shanay Rab Author-X-Name-First: Shanay Author-X-Name-Last: Rab Title: Impact of additive manufacturing in different areas of Industry 4.0 Abstract: Additive manufacturing (AM) technologies are becoming an essential part of tomorrow's smart factories, where software, technologies, and processes are being integrated to deliver world-class results. AM is to provide extensive inputs to smart manufacturing systems using digital design, and specialised software-based manufacturing technology. AM helps to create product innovation, thereby impacting different areas of Industry 4.0. The purpose of this study is to understand how AM can impact various areas of Industry 4.0. A large number of research papers on additive manufacturing in Industry 4.0 and other related articles in the manufacturing field have been studied to identify its fifteen significant impacts and subsequent research direction. In future, AM will create technological advancement in design, manufacturing and provide a maximum contribution in Industry 4.0 to the self-optimise production system. AM helps to reduce a considerable amount of unused inventory and helps fulfil the customised demand of consumer and market. AM creates any customised prototype for specific users in lesser time. It provides innovative product concepts by assessing market demand and minimise the supply chain cost. Journal: Int. J. of Logistics Systems and Management Pages: 239-251 Issue: 2 Volume: 37 Year: 2020 Keywords: additive manufacturing; AM; areas of Industry 4.0; customisation; Industry 4.0; requirements of Industry 4.0. File-URL: http://www.inderscience.com/link.php?id=110578 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:239-251 Template-Type: ReDIF-Article 1.0 Author-Name: Eldho Paul Author-X-Name-First: Eldho Author-X-Name-Last: Paul Author-Name: Brijesh Paul Author-X-Name-First: Brijesh Author-X-Name-Last: Paul Title: Auction-based algorithm for solving scheduling problem in cross-docking centres Abstract: A cross-docking centre reduces the amount of storage and transportation in a distribution system compared to an ordinary warehouse. This paper proposes an auction-based mechanism for optimum scheduling of inbound trucks in cross-docking centres, thereby reducing the storage and transportation costs. Auction mechanisms are commonly used in different real life applications for better allocation of limited resources. Here, an effort is made to integrate the auction mechanism with the functioning of cross-docking centres. A mathematical model is developed for the optimal scheduling of inbound trucks. As expected, the determination of exact schedule for problems involving large number of variables was found to be computationally complex, and hence a heuristic methodology is also proposed in this study. In our computational experiments, we found that the proposed heuristic method is capable of producing good schedules in minimal time. Journal: Int. J. of Logistics Systems and Management Pages: 225-238 Issue: 2 Volume: 37 Year: 2020 Keywords: auction mechanism; cross-docking centre; heuristics; mathematical modelling; optimisation; resource allocation; combinatorial auction; scheduling of trucks. File-URL: http://www.inderscience.com/link.php?id=110579 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:225-238 Template-Type: ReDIF-Article 1.0 Author-Name: Sara Elzarka Author-X-Name-First: Sara Author-X-Name-Last: Elzarka Title: A study on using lean, agile, resilient and green index to assess the sustainability of Egyptian FMCGs supply chains Abstract: Sustainable or green supply chain (GSC) management has gained significant importance over the past few years in Egypt as global awareness on preserving natural resources and the environment have been increasing. Sustainable operations of the supply chain became an essential requirement for Egyptian products to enter the European and the American markets which are the two major exports' markets for Egypt. Therefore, this research would assess the leanness, agility, resilience and greenness of Egyptian fast-moving consumer goods (FMCG) supply chain by the use of the lean, agile, resilient and green (LARG) index proposed by Azevedo et al. (2016). This research will use the case study approach in assessing the practices of three major FMCG companies' supply chains. Conducting this assessment on a set of companies and to their supply chain will allow the researcher to benchmark the performance of the supply chain members; thus, highlighting the gaps and emphasising on the improvement opportunities. Journal: Int. J. of Logistics Systems and Management Pages: 285-298 Issue: 2 Volume: 37 Year: 2020 Keywords: supply chain management; SCM; green supply chain; GSC; Egypt; sustainability; fast-moving consumer goods; FMCG; lean; green; LARG index; resilience. File-URL: http://www.inderscience.com/link.php?id=110580 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:285-298 Template-Type: ReDIF-Article 1.0 Author-Name: Suchismita Satapathy Author-X-Name-First: Suchismita Author-X-Name-Last: Satapathy Title: An investigation on sustainable supply chain management challenges for Indian thermal power plants Abstract: The coal option for power generation has to play most important role in the Indian power sector for long times to come. Though it is most obvious and viable option, it comes with some salient issues like coal quality, import tie ups, mining, transport and port infrastructure, etc. which need to be analysed and addressed with long-term perspective. A low-quality, high-ash coal also creates problems for power stations, including erosion in parts and materials, difficulty in pulverisation, poor emissivity and flame temperature, low radiative transfer, and excessive amounts of fly ash containing large amounts of unburned carbons. The awareness against the environmental pollution and clean energy is increasing all over the world. As the thermal power sector is blamed for creating environmental pollution, so they are more focused on sustainability issues and subsequently trying to develop a sustainable supply chain strategy to carry out their business. Journal: Int. J. of Logistics Systems and Management Pages: 173-224 Issue: 2 Volume: 37 Year: 2020 Keywords: SSCM; ANN; quality function deployment; QFD; interpretive structural modelling; ISM; Indian thermal power sector; coal. File-URL: http://www.inderscience.com/link.php?id=110582 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:173-224 Template-Type: ReDIF-Article 1.0 Author-Name: Doraid Dalalah Author-X-Name-First: Doraid Author-X-Name-Last: Dalalah Title: Logistic resources allocation in supply chains: a utility decentralised optimisation approach Abstract: In this paper, a continuous review policy in a supply chain is considered in which risk averse suppliers ship products to their corresponding retailers. The suppliers non-cooperatively compete by acquiring more logistic resources of the supply chain to satisfy the random retailers' demand so as to increase their benefits in a decentralised manner. An optimisation problem is formulated to model this SC with two main constraints: the demand and the stocking delays. The solution allocates the suitable shipping rates that increase the social benefit of the supply chain players. Different experiments were conducted to validate and demonstrate the merits of the model. It was found that the shipping protocol employed at the supplier side rapidly drives the SC to optimal shipping rates that maximise the utilities in decentralised approach. The model can be applied to fast response supply chains such as short shelf-life products, food supply chains, blood supply chains and perishable items. Journal: Int. J. of Logistics Systems and Management Pages: 299-323 Issue: 3 Volume: 37 Year: 2020 Keywords: supply chains; SC; resource allocation; inventory; utility; nonlinear optimisation. File-URL: http://www.inderscience.com/link.php?id=111382 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:299-323 Template-Type: ReDIF-Article 1.0 Author-Name: Sonia Nazeer Author-X-Name-First: Sonia Author-X-Name-Last: Nazeer Author-Name: Puwanart Fuggate Author-X-Name-First: Puwanart Author-X-Name-Last: Fuggate Author-Name: Muhammad Shafiq Author-X-Name-First: Muhammad Author-X-Name-Last: Shafiq Title: Farm level sustainable cotton supply chain management: an empirical study of Pakistan Abstract: Cotton is a highly non-sustainable crop due to the requirement for substantial amounts of water and energy resources in the overall supply chain, from farm to finished product. There is a need to assess the sustainability of the cotton supply chain management system which may be achieved through more reasonable use of inputs and resources, hence lesser environmental impact, while maintaining sustained income for farmers. This research investigates the current status of sustainability in the farm level cotton supply chain and explores the influence of sustainability paradigms (economic, environmental and social) on farmers' supply chain management decisions. A survey was held (157 small and medium level cotton farmers) and data was analysed using the SPSS software with descriptive statistics of t-test, correlations and regression analysis. Results shown that small and medium level farmers are only focused on using less expensive inputs, with little concern for environmental and social matters. Journal: Int. J. of Logistics Systems and Management Pages: 389-406 Issue: 3 Volume: 37 Year: 2020 Keywords: sustainable cotton supply chain management; SCSCM; cotton supply chain management; CSCM; sustainable cotton critical success factors; farm level cotton supply chain; Pakistan. File-URL: http://www.inderscience.com/link.php?id=111384 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:389-406 Template-Type: ReDIF-Article 1.0 Author-Name: Yurawan Nitisaroj Author-X-Name-First: Yurawan Author-X-Name-Last: Nitisaroj Author-Name: Jirapan Liangrokapart Author-X-Name-First: Jirapan Author-X-Name-Last: Liangrokapart Title: Third party logistics providers: sustainability performance measurement framework Abstract: Over the past two decades, the concept of outsourcing has driven the growth of third party logistics (3PL). Intensive competition led to the necessity of sustainability for 3PL firms. Although there are studies on 3PL sustainability; there is no comprehensive framework for measuring 3PL sustainability performance. Based on triple bottom line (TBL) framework, the purpose of this paper is to develop a sustainability performance measurement framework for 3PL, which can be used as a guide for the development of sustainable 3PL businesses. Related research and academic papers were reviewed; content analysis was used. Subsequently, two rounds of Delphi survey were carried out to derive the set of measures and dimensions of a sustainability performance measurement framework. This study shows that in addition to the TBL framework, two additional dimensions emerge. Sustainability performance measurement framework for 3PL includes five dimensions: economic performance, environmental performance, social performance, operational excellence and service capabilities. Journal: Int. J. of Logistics Systems and Management Pages: 352-370 Issue: 3 Volume: 37 Year: 2020 Keywords: outsourcing; sustainability; sustainability framework; third party logistics providers; logistics service providers; LSP. File-URL: http://www.inderscience.com/link.php?id=111385 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:352-370 Template-Type: ReDIF-Article 1.0 Author-Name: S. Priyan Author-X-Name-First: S. Author-X-Name-Last: Priyan Author-Name: P. Mala Author-X-Name-First: P. Author-X-Name-Last: Mala Author-Name: R. Gurusamy Author-X-Name-First: R. Author-X-Name-Last: Gurusamy Title: Optimal inventory strategies for two-echelon supply chain system involving carbon emissions and fuzzy deterioration Abstract: The industry sector is an vital direct and indirect source of carbon emissions. Today industries are looking for solutions to reduce carbon emissions associated with their operations. Operational adjustments, such as modifications in batch sizes or order quantities, have proven to be an effective way to decrease emissions. This paper provides a new mathematical model which integrate cost and emissions in transportation and storage to execute optimal operational adjustments for deteriorating products under the framework of two-echelon inventory system. The deterioration rate is treated as the triangular fuzzy number, and we use the extension principle to find the membership function of the fuzzy total cost and defuzzify by the centroid to find the estimate of the total cost in the fuzzy sense. Numerical example is performed to show the effectiveness of the proposed model, and several managerial insights are observed from sensitive analyses which may help both the government and the industry to adopt appropriate carbon reduction regulations. Journal: Int. J. of Logistics Systems and Management Pages: 324-351 Issue: 3 Volume: 37 Year: 2020 Keywords: deteriorating product; fuzzy number; centroid method; carbon emission. File-URL: http://www.inderscience.com/link.php?id=111386 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:324-351 Template-Type: ReDIF-Article 1.0 Author-Name: Maqsood Ahmed Memon Author-X-Name-First: Maqsood Ahmed Author-X-Name-Last: Memon Author-Name: Hussain Bux Marri Author-X-Name-First: Hussain Bux Author-X-Name-Last: Marri Author-Name: Bruce Gurd Author-X-Name-First: Bruce Author-X-Name-Last: Gurd Title: Process-based common supply chain management practices in manufacturing firms Abstract: Present study explore common supply chain management practices (SCMPs) and investigate how these practices facilitate the development of supply chain capabilities. The study adopts an exploratory case study approach with the content analysis of the data collected through semi-structured interviews, followed by site visits to 14 Australian manufacturing firms. The findings show six common SCMPs in the case study firms. Findings also demonstrate how these practices promote and further develop inter-organisational and intra-organisational integration, coordination for increased responsiveness and delivering valued services to customers in supply chain. The practices explored can be used as a supply chain framework for the manufacturing industry which can provide an effective tool for developing increased responsiveness in the supply chain through capabilities of integration, coordination and valued services delivery. Moreover, this study for the first time explores how supply chain capabilities emerge from SCMPs and how do both differ. Journal: Int. J. of Logistics Systems and Management Pages: 371-388 Issue: 3 Volume: 37 Year: 2020 Keywords: supply chain management practices; SCMPs; supply chain management capabilities; SCMCs; manufacturing firms; case study. File-URL: http://www.inderscience.com/link.php?id=111388 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:371-388 Template-Type: ReDIF-Article 1.0 Author-Name: Shivam Goyal Author-X-Name-First: Shivam Author-X-Name-Last: Goyal Author-Name: Dixit Garg Author-X-Name-First: Dixit Author-X-Name-Last: Garg Author-Name: Sunil Luthra Author-X-Name-First: Sunil Author-X-Name-Last: Luthra Title: An analysis of sustainable production and consumption challenges: using PEST-AHP approach Abstract: With the increase in pollution level, everyone, i.e., government, producers or consumers, all are bound to work for sustainability. Sustainable production and consumption (SPC) is the utmost need of the nation to promote the concept of sustainable development. But, there are various barriers in the way of SPC. The aim of this research work is to find all these barriers in the way of SPC. In this work, by political, economic, social, and technological (PEST) analysis, 15 barriers towards SPC adoption has been found from literature survey and expert's input. Analytical hierarchy process (AHP) methodology has been applied to find the relative weights and rank all the barriers. Sensitivity analysis has been performed to check the robustness of the output obtained. This work will be very useful for government, policy makers, researchers, practitioners and managers in decision making to adopt SPC practices and will result in sustainable development. Journal: Int. J. of Logistics Systems and Management Pages: 407-426 Issue: 3 Volume: 37 Year: 2020 Keywords: sustainable production and consumption; SPC; challenges; political, economic, social, and technological; PEST; analytical hierarchy process; AHP; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=111413 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:407-426 Template-Type: ReDIF-Article 1.0 Author-Name: Siti Norida Wahab Author-X-Name-First: Siti Norida Author-X-Name-Last: Wahab Author-Name: Yi Ming Loo Author-X-Name-First: Yi Ming Author-X-Name-Last: Loo Author-Name: Chee Seng Say Author-X-Name-First: Chee Seng Author-X-Name-Last: Say Title: Antecedents of blockchain technology application among Malaysian warehouse industry Abstract: The purpose of this research is to ascertain the most influential factor that affects the blockchain technology adoption intentions in Malaysian warehouse operations. The unified theory of acceptance and use of technology 2 acts as the underpinning theory and from a comprehensive literature review, five factors have identified to be incorporated in the conceptual framework development. Numerous studies covering the use of a wide range of technologies in the warehouse industry can be found in recent literature. However, it should be noted that, for studies relating to the intentions and application of blockchain technology in the Malaysian warehouse industry, this research would appear to be a pioneering work. Given the countless advantages of blockchain technology adoption, it is crucial that the Malaysian warehouse industry would seriously consider its application as standard business practices. This paper bridges the theoretical gap that will help to identify the opportunities for blockchain technology applications. Journal: Int. J. of Logistics Systems and Management Pages: 427-444 Issue: 3 Volume: 37 Year: 2020 Keywords: blockchain technology; warehouse operations; technology application; business practices. File-URL: http://www.inderscience.com/link.php?id=111414 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:3:p:427-444 Template-Type: ReDIF-Article 1.0 Author-Name: Md. Sazzadur Rahman Khan Author-X-Name-First: Md. Sazzadur Rahman Author-X-Name-Last: Khan Author-Name: Vichayanan Rattanawiboonsom Author-X-Name-First: Vichayanan Author-X-Name-Last: Rattanawiboonsom Title: The role of logistics strategy on firm performance of garment industry in Bangladesh Abstract: The logistics strategy has an indispensable effect on routine decision making and imminent arrangements of the firms. The objective of this study is to examine the effects of logistics strategy on firm performance, e.g., tangible and intangible benefits of garment industry in Bangladesh. The study utilised quantitative method and furthermore recognises confirmatory factor analysis (CFA) to examine the association between observed variables and latent constructs. This research exploits SPSS version 20 and structural equation model (SEM) based on AMOS version 23 to analyse the data surveyed in the 120 garment factories positioned in export processing zone in addition to domestic factories of Bangladesh. The results reveal that logistics strategies are not significantly (p ≤ 0.05) associated with tangible and intangible firm performance of garment industry. The findings emphasise about upgradation of logistics infrastructure to formulate appropriate strategy in the garment industry of Bangladesh. Journal: Int. J. of Logistics Systems and Management Pages: 540-555 Issue: 4 Volume: 37 Year: 2020 Keywords: inventory strategy; low cost strategy; purchasing strategy; information flow; professional workforce; resource-based view; RBV; structure conduct performance; SCP; tangible firm performance; intangible firm performance; garment industry; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=111825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:540-555 Template-Type: ReDIF-Article 1.0 Author-Name: Muhamad Fairuz Ahmad Jasmi Author-X-Name-First: Muhamad Fairuz Ahmad Author-X-Name-Last: Jasmi Author-Name: Yudi Fernando Author-X-Name-First: Yudi Author-X-Name-Last: Fernando Author-Name: Ishak Ismail Author-X-Name-First: Ishak Author-X-Name-Last: Ismail Title: Adoption level of maritime green supply chain management: preliminary findings from a pilot study Abstract: It is essential to investigate the awareness of maritime industry concerning environmental practices that could cause damage and pollution to coastal and marine ecosystems. The perception of maritime firms in Malaysia was examined with a view to understanding the adoption level of maritime green supply chain management and its correlation with financial outcomes. Three statistical tests were utilised. The first adopted assessment was the internal consistency test which measured the scale reliability. Afterwards, the different variations among group means level of adoption (seed, start-up, expansion, monitoring and control) in the sample was examined using one-way ANOVA analysis. The results showed that the aggregate value of MGSCM practices has positive correlation with maritime supply chain financial efficiency. This paper, apart from establishing that small sample size is sufficient for a pilot study. It is necessary to conduct a pilot study prior the actual data collection. Journal: Int. J. of Logistics Systems and Management Pages: 556-575 Issue: 4 Volume: 37 Year: 2020 Keywords: maritime; green supply chain management; GSCM; green adoption; financial performance; pilot study. File-URL: http://www.inderscience.com/link.php?id=111826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:556-575 Template-Type: ReDIF-Article 1.0 Author-Name: Michael Wang Author-X-Name-First: Michael Author-X-Name-Last: Wang Title: Assessing logistics capability for the Australian courier firms Abstract: The purpose of the paper is to identify and assess the logistics capability in the Australian courier firms. Logistics capability is an important ability for transport and logistics firms to deliver the value and services to the customers. It may directly influence both firm performance and customers' experiences. An empirically validated measurement model of logistics capability for Australian courier firms is presented in the paper. Empirical data is collected through a web-based survey. According to the factor analysis, the key underlying factors of logistics capability has been identified in the Australian courier firms. They are including operation flexibility-focused capability, innovation-focused capability and process optimisation-focused capability. The results indicate that the Australian courier firms have relatively strong logistics capabilities. The implication of the measurements of logistics capability is not only for further studies, but also it provides practical guidance for policy-making and developing the logistics capability to achieve sustainable competitive advantage. It also contributes to the literature in courier and logistics. Moreover, the findings help both academics and practitioners to gain a better understanding of logistics capability in the courier industry. Journal: Int. J. of Logistics Systems and Management Pages: 576-589 Issue: 4 Volume: 37 Year: 2020 Keywords: logistics capability; logistics management; courier; Australia. File-URL: http://www.inderscience.com/link.php?id=111827 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:576-589 Template-Type: ReDIF-Article 1.0 Author-Name: Solomon Joseph Author-X-Name-First: Solomon Author-X-Name-Last: Joseph Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Greedy iterative genetic algorithm for the volume-based cross dock transportation problem associated with fixed charge Abstract: Cross docking is a distribution method wherein the products from inbound vehicles are loaded directly onto outbound vehicles with a minor or no storage in between. The fixed charge cross dock transportation problem (FCCDTP) involves determining the optimal method of loading and routing the vehicles in a cross dock system with minimal fixed and variable cost of transportation. In this paper, the FCCDTP with the volume-based quantification of products is formulated as a mixed integer linear programming model. The model is solved using the optimisation software LINGO solver, the proposed GA with variable neighbourhood search (GA-VNS) meta-heuristic and the proposed greedy iterative genetic algorithm (GIGA) meta-heuristic. The data for the problems are obtained from a real-life logistics company. The analysis of results reveals that the proposed GIGA meta-heuristic provides lesser total transportation cost as compared to the GA-VNS meta-heuristic. Journal: Int. J. of Logistics Systems and Management Pages: 488-539 Issue: 4 Volume: 37 Year: 2020 Keywords: fixed charge; cross dock transportation; greedy iterative genetic algorithm; GIGA. File-URL: http://www.inderscience.com/link.php?id=111828 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:488-539 Template-Type: ReDIF-Article 1.0 Author-Name: Tipavinee Suwanwong Author-X-Name-First: Tipavinee Author-X-Name-Last: Suwanwong Author-Name: Apichat Sopadang Author-X-Name-First: Apichat Author-X-Name-Last: Sopadang Title: The impact of delay affecting airport efficiency: sustainability perspective Abstract: Airport industry has experienced significant growth over the recent years. Nevertheless, few studies have analysed their operational efficiency together with airport delay condition. This paper aims to modify the original DEA-based Malmquist productivity index by integrating with delay factor as it is the critical irregularity frequently suffered in most of the major worldwide airports. The top 20 busiest passenger airports in Asia are the sample airports. The examination presents the result of the current situation that most of the airports perform well in term of operational efficiency. However, the results are significantly dropped when the delay is included, meaning if airports still have a high percentage of delay incurred, airports definitely face with several issues such as airline and passenger dissatisfaction or deficiency in airport performance. Without delay, airport can reduce CO<SUB align="right"><SMALL>2</SMALL></SUB> emission, increase airport capacity, and improve customer satisfaction. The finding indicates that airports shall obviously eliminate or reduce percentage of delay in order to accomplish airport sustainability development for the future. Journal: Int. J. of Logistics Systems and Management Pages: 445-464 Issue: 4 Volume: 37 Year: 2020 Keywords: airport operational efficiency; delay; sustainability; Malmquist productivity index; MPI; data environment analysis; DEA. File-URL: http://www.inderscience.com/link.php?id=111852 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:445-464 Template-Type: ReDIF-Article 1.0 Author-Name: K.P. Anoop Author-X-Name-First: K.P. Author-X-Name-Last: Anoop Author-Name: Vinay V. Panicker Author-X-Name-First: Vinay V. Author-X-Name-Last: Panicker Author-Name: Ajitabh Sankar Das Author-X-Name-First: Ajitabh Sankar Author-X-Name-Last: Das Author-Name: Talapala Abhishek Author-X-Name-First: Talapala Author-X-Name-Last: Abhishek Author-Name: Prithvi Sankar Vadlamani Author-X-Name-First: Prithvi Sankar Author-X-Name-Last: Vadlamani Author-Name: Uppala Sai Akhil Author-X-Name-First: Uppala Sai Author-X-Name-Last: Akhil Title: Simulation modelling and analysis of warehouse operations in a food grain supply chain Abstract: This paper deals with simulation modelling and analysis of operations at food grain warehouses owned by an Indian organisation. The organisation undertakes food grain transportation using rail wagons and the delay in unloading food grains at warehouses results in the incurrence of penalty cost called demurrage cost. A discrete event simulation model is developed using Arena to analyse the warehouse operations with a special focus on unloading. The simulation model is run using historical data collected from the organisation and performance measures such as resource utilisation, capacity utilisation and demurrage cost are ascertained to assess the efficiency of warehouses. Journal: Int. J. of Logistics Systems and Management Pages: 465-487 Issue: 4 Volume: 37 Year: 2020 Keywords: warehousing; food grain supply chain; simulation modelling; discrete event simulation; Arena; demurrage cost; rerouting; unloading operation; rail transportation; warehouse efficiency. File-URL: http://www.inderscience.com/link.php?id=111853 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:37:y:2020:i:4:p:465-487