Template-Type: ReDIF-Article 1.0 Author-Name: Gino Marchet Author-X-Name-First: Gino Author-X-Name-Last: Marchet Author-Name: Marco Melacini Author-X-Name-First: Marco Author-X-Name-Last: Melacini Author-Name: Sara Perotti Author-X-Name-First: Sara Author-X-Name-Last: Perotti Author-Name: Chiara Sassi Author-X-Name-First: Chiara Author-X-Name-Last: Sassi Title: Types of logistics outsourcing and related impact on the 3PL buying process: empirical evidence Abstract: Although logistics outsourcing is recognised as a competitive parameter, so far there has been no adequate research on the types of logistics outsourcing and their implications in terms of the third-party logistics (3PL) buying process. This paper fills the gap by focussing on two key issues, i.e., required competitive advantages and 3PL selection criteria. The aim is to provide a comprehensive investigation of such factors and study if and how they vary depending on the outsourcing type. After a literature review and a focus group, a survey of 482 logistics managers was conducted, and a statistical analysis of results was performed. The findings are of interest to both shippers and 3PL providers because they help the former understand which outsourcing type is the most suitable to achieve the desired competitive advantages, and the latter to evaluate the key factors to focus on depending on the required type of outsourcing. Journal: Int. J. of Logistics Systems and Management Pages: 139-161 Issue: 2 Volume: 30 Year: 2018 Keywords: logistics outsourcing; third-party logistics providers; 3PL; 3PL buying process; competitive advantages; 3PL selection criteria. File-URL: http://www.inderscience.com/link.php?id=91959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:139-161 Template-Type: ReDIF-Article 1.0 Author-Name: Huseyin Avni Es Author-X-Name-First: Huseyin Avni Author-X-Name-Last: Es Author-Name: Coskun Hamzacebi Author-X-Name-First: Coskun Author-X-Name-Last: Hamzacebi Author-Name: Seniye Umit Oktay Firat Author-X-Name-First: Seniye Umit Oktay Author-X-Name-Last: Firat Title: Assessing the logistics activities aspect of economic and social development Abstract: Logistics is concerned with the coordination and planning of products, services and information flow between the points of production and consumption. The logistics sector, contributes directly to production and consumption activities, has a critical importance for social and economic development. In this study, Turkey's logistics map was created in order to distribute the logistics burden in the cities which have intensive logistics activities and improve logistics ability in the cities which have poor logistics activities. Firstly, social and economic variables that affect the logistics operations of cities of Turkey were investigated. The identified variables were reduced to a single factor which is called logistics via factor analysis and the clustering analysis was performed by using the logistics factor. In clustering analysis, k-means method was used and the cities of Turkey clustered from strong to weak according to logistics activities. The obtained results were analysed and interpreted. Journal: Int. J. of Logistics Systems and Management Pages: 1-16 Issue: 1 Volume: 29 Year: 2018 Keywords: logistics; clustering; factor analysis; Turkey. File-URL: http://www.inderscience.com/link.php?id=88577 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Mahdi Aghazadeh Author-X-Name-First: Seyed Mahdi Author-X-Name-Last: Aghazadeh Author-Name: Mohammad Mohammadi Author-X-Name-First: Mohammad Author-X-Name-Last: Mohammadi Author-Name: Bahman Naderi Author-X-Name-First: Bahman Author-X-Name-Last: Naderi Title: Robust bi-objective cost-effective, multi-period, location-allocation organ transplant supply chain Abstract: This paper proposes a new multi-objective model for organ transplant supply chain under uncertainty conditions. Previous models have focused on time, location and allocations separately, and have not considered some important aspects in locating healthcare units. Because of the vital role of these parameters in decision-making about locating organ transplant supply chain, this new model compensates for and covers this shortcoming. These significant parameters include: 1) expected number of organs donors; 2) coverage rate of other zones for the selected locations based on cold ischemia time for each organ (cold ischemia time is the maximum time each organ can bear outside the body); 3) safety index based on earthquakes and other natural or unnatural events. The model consists of three objective functions: the first objective function reduces the costs of the active working centres. Transportations and allocations of units and organs, and the second objective function consider the mentioned parameters too. These objective functions are likely to face conflicts based on the input data. Finally, some statistics-based experiments have been conducted on the problem under study, and it has been solved using GAMS optimisation software (ver. 23.5). Journal: Int. J. of Logistics Systems and Management Pages: 17-36 Issue: 1 Volume: 29 Year: 2018 Keywords: healthcare management; organ transplant supply chain; location efficiency; bi-objective MIP optimisation. File-URL: http://www.inderscience.com/link.php?id=88578 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:17-36 Template-Type: ReDIF-Article 1.0 Author-Name: Zineb Benotmane Author-X-Name-First: Zineb Author-X-Name-Last: Benotmane Author-Name: Ghalem Belalem Author-X-Name-First: Ghalem Author-X-Name-Last: Belalem Author-Name: Abdelkader Neki Author-X-Name-First: Abdelkader Author-X-Name-Last: Neki Title: Towards a cloud computing in the service of green logistics Abstract: The development of cloud computing solutions for logistics offers new benefits to companies, such as access to resources on demand, elasticity and usage billing. In this paper, we propose a multi-agent system based on a cloud computing platform called system agent cloud logistics (SACL), which aims to measure the economic, environmental and social performances of a logistic process and to help a company to make the right decision. For achieving this goal, our proposed system integrates: cloud computing technology, web services techniques, multi-agent approach, and simulation model. As a scenario, we've chosen the case of a virtual pharmaceutical wholesaler, and we have formulated the problem for command preparation process. The results show that our proposed system helps the decision maker to estimate the economic, environmental and social costs of a logistic process and to know the impact of a new strategic solution and its cost before retaining it. Journal: Int. J. of Logistics Systems and Management Pages: 37-61 Issue: 1 Volume: 29 Year: 2018 Keywords: cloud computing; CC; green logistics; multi agent approach; simulation model; economic aspect; ecological aspect; social aspect; logistics process. File-URL: http://www.inderscience.com/link.php?id=88579 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:37-61 Template-Type: ReDIF-Article 1.0 Author-Name: W. Wei Author-X-Name-First: W. Author-X-Name-Last: Wei Author-Name: J.F. Low Author-X-Name-First: J.F. Author-X-Name-Last: Low Author-Name: A. Schiffauerova Author-X-Name-First: A. Author-X-Name-Last: Schiffauerova Title: Nobody wants to buy sour milk: supply chain performance measure matters Abstract: In the increasingly competitive manufacturing landscape, the key to thriving is in managing the supply chain. Supply chain performance measurement systems, which gauge the performance of a supply chain on different metrics, are indispensable tools for supply chain management. By introducing a weighted and industry-independent performance measure and incorporating it in a questionnaire distributed to manufacturing companies, we were able to compare supply chain performance between different categories of manufacturers. We identified management as the biggest impediment towards implementation of supply chain performance measures. The results also show that supply chains in light industry are flexible but members of each supply chain interact poorly. Heavy industry supply chains suffer from inflexibility but have good interactions between members within each supply chain. Despite international supply chains having many advantages over domestic supply chains, our survey respondents indicated that global supply chains perform better than local supply chains. And, supply chains which have members who are actively cooperating, whether in the form of a pact, partnership, or alliance, perform better than supply chains where such cooperation does not exist. Finally, our study found that the performance of supply chains with performance measurement systems in place trumps the performance of supply chains without them. Journal: Int. J. of Logistics Systems and Management Pages: 62-81 Issue: 1 Volume: 29 Year: 2018 Keywords: supply chain; supply chain management; SCM; supply chain performance measurement system; comparative analysis. File-URL: http://www.inderscience.com/link.php?id=88584 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:62-81 Template-Type: ReDIF-Article 1.0 Author-Name: Adel Azar Author-X-Name-First: Adel Author-X-Name-Last: Azar Author-Name: Mohsen Zarakani Author-X-Name-First: Mohsen Author-X-Name-Last: Zarakani Author-Name: Seyed Saeed Mirhosseini Author-X-Name-First: Seyed Saeed Author-X-Name-Last: Mirhosseini Author-Name: Marjan Hadidi Masouleh Author-X-Name-First: Marjan Hadidi Author-X-Name-Last: Masouleh Title: The mediation role of social capital in relationship between buyer-supplier relationship with green supply chain collaboration Abstract: The main aim of this study is to understand how buyer-supplier relationship and social capital influence green supply chain collaboration in manufacturing companies. Also, the mediating role of social capital between buyer-supplier relationship and green supply chain collaboration was examined. Because of that, a sample of 70 from logistic and middle levels' managers were chosen for distributing questionnaires. Collected data were analysed by partial least square method of structural equation modelling. The results indicated that there are positive relationships among buyer-supplier relationship (asset specificity, transaction frequency and competitive environment), social capital and green supply chain collaboration. Also, the mediating role of social capital are confirmed. But two hypotheses which are related to volume uncertainty are rejected. These findings provide considerable insights to managers and marketers of green supply chains that seek to respond to a growing interest of environmental performance of supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 82-101 Issue: 1 Volume: 29 Year: 2018 Keywords: green supply chain collaboration; GSCC; social capital; buyer-supplier relationship; transaction cost theory; TCT. File-URL: http://www.inderscience.com/link.php?id=88585 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:82-101 Template-Type: ReDIF-Article 1.0 Author-Name: P. Senthil Kumar Author-X-Name-First: P. Senthil Author-X-Name-Last: Kumar Title: A note on 'a new approach for solving intuitionistic fuzzy transportation problem of type-2' Abstract: In real-life decisions, usually we happen to suffer through different states of uncertainties. In order to counter these uncertainties, in this paper, the author formulated a transportation problem in which costs are triangular intuitionistic fuzzy numbers, supplies and demands are crisp numbers. In this paper, a simple method for solving type-2 intuitionistic fuzzy transportation problem (type-2 IFTP) is proposed and optimal solution is obtained without using intuitionistic fuzzy modified distribution method and intuitionistic fuzzy zero point method. So, the proposed method gives the optimal solution directly. The solution procedure is illustrated with the help of three real life numerical examples. Defect of existing results proposed by Singh and Yadav (2016a) is discussed. Validity of Pandian's (2014) method is reviewed. Finally, the comparative study, results and discussion are given. Journal: Int. J. of Logistics Systems and Management Pages: 102-129 Issue: 1 Volume: 29 Year: 2018 Keywords: intuitionistic fuzzy set; type-2 intuitionistic fuzzy transportation problem; triangular intuitionistic fuzzy number; optimal solution. File-URL: http://www.inderscience.com/link.php?id=88586 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:1:p:102-129 Template-Type: ReDIF-Article 1.0 Author-Name: Nitipon Tansakul Author-X-Name-First: Nitipon Author-X-Name-Last: Tansakul Author-Name: Suthathip Suanmali Author-X-Name-First: Suthathip Author-X-Name-Last: Suanmali Author-Name: Veeris Ammarapala Author-X-Name-First: Veeris Author-X-Name-Last: Ammarapala Title: Perception of logistics service provider regarding trade facilitation for cross border transportation: a case study of east-west economic corridor Abstract: The aim of this research is to evaluate the trade facilitation on cross border trade along the east-west economic corridor route. This study employs two methods for evaluating the trade performance. First, the different influence factors and their effect on the trade are considered. The analytic hierarchy process (AHP) is employed to measure the influencing weight of each factor. Expert opinions are obtained through interviews of leading logistic experts: entrepreneurs, academic researchers, and policy makers. Second, trade facilitation surveys are conducted. The interview technique and six-point Likert scale questionnaires were used to gather data from logistics providers and related firms who operate within the R-9 route. The results obtained from this investigation help in identifying appropriate factors and weights for the characteristics of the R-9 route, which can further be utilised to evaluate the trade facilitation in each of the four countries. Journal: Int. J. of Logistics Systems and Management Pages: 131-150 Issue: 2 Volume: 29 Year: 2018 Keywords: analytic hierarchy process; AHP; cross border transportation; trade facilitation; east-west economic corridor. File-URL: http://www.inderscience.com/link.php?id=89168 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:131-150 Template-Type: ReDIF-Article 1.0 Author-Name: Farida Pulansari Author-X-Name-First: Farida Author-X-Name-Last: Pulansari Author-Name: Suparno Author-X-Name-First: Author-X-Name-Last: Suparno Author-Name: Sri Gunani Partiwi Author-X-Name-First: Sri Gunani Author-X-Name-Last: Partiwi Title: A development of a framework for evaluation of reverse logistics maturity level Abstract: Reverse logistic (RL) and management of unused product waste, as well as limitation of natural resources, are growing problems throughout the decade. The RL has been successfully implemented in some companies, however, no clear key performance indicator of a successful RL is provided. The paper proposes a framework for assessing the maturity level of the RL implementation. The framework was designed in order to provide the information as well as a clear key performance indicator. The procedure of assessing the framework was to come to many companies to measure the level of RL implementation. Better integration among supply chain actors can minimise the environmental problems. The finding shows that the maturity level in the implementation of RL for the Indonesian consumer electronics industries is at level 3 (develop level) and 2 (managed level), especially in the local companies. Journal: Int. J. of Logistics Systems and Management Pages: 151-172 Issue: 2 Volume: 29 Year: 2018 Keywords: assessment; framework; reverse logistics; consumers' electronics industries; maturity level. File-URL: http://www.inderscience.com/link.php?id=89169 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:151-172 Template-Type: ReDIF-Article 1.0 Author-Name: Uladzimir Rubasheuski Author-X-Name-First: Uladzimir Author-X-Name-Last: Rubasheuski Author-Name: Johan Oppen Author-X-Name-First: Johan Author-X-Name-Last: Oppen Author-Name: David L. Woodruff Author-X-Name-First: David L. Author-X-Name-Last: Woodruff Title: A stochastic programming approach to solve a coordinated capacitated stochastic dynamic demand lot-sizing problem with emergency supplies Abstract: We consider the coordinated capacitated lot-sizing problem (CCLSP) with stochastic non-stationary demand. Although the CCLSP with deterministic demand and the uncoordinated CLSP (UCLSP) with stochastic demand have been addressed in the literature, there is no published research on the CCLSP with stochastic demand. Motivated by the case of Stokke, we developed the formulation and solution method for a special case of the CCLSP. Our model is tested in the settings of stochastic and deterministic demand. The stochastic model out-performed the deterministic model with significantly lower total cost, leading to a reduction in inventory costs and to a slight increase in use of emergency supplies. Journal: Int. J. of Logistics Systems and Management Pages: 173-189 Issue: 2 Volume: 29 Year: 2018 Keywords: inventory management; coordinated capacitated lot-sizing problem; CCLSP; inventory costs; transportation costs; emergency supplies; stochastic programming; stochastic dynamic problem; scenario generation. File-URL: http://www.inderscience.com/link.php?id=89170 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:173-189 Template-Type: ReDIF-Article 1.0 Author-Name: Anjali Awasthi Author-X-Name-First: Anjali Author-X-Name-Last: Awasthi Author-Name: Reza Sayyadi Author-X-Name-First: Reza Author-X-Name-Last: Sayyadi Author-Name: Ali Khabbazian Author-X-Name-First: Ali Author-X-Name-Last: Khabbazian Title: A combined approach integrating gap analysis, QFD and AHP for improving logistics service quality Abstract: Managing logistics service quality is vital to achieving higher levels of customer satisfaction and gaining productivity. In this paper, we address the problem of logistics service quality management considering multiple stakeholders point of view namely shippers, customers, municipal administrators, city residents, traffic managers, etc. A hybrid approach based on gap analysis, QFD and AHP is proposed. The purpose of gap analysis is to identify service quality gaps based on customer expectations and perceptions. QFD is used to model technical requirements to fulfil identified service quality gaps. AHP is used to evaluate service quality improvement initiatives and recommend the best one(s) for implementation. A numerical application is provided. Sensitivity analysis is conducted to determine the influence of input parameters on stability of modelling results. The strength of the proposed approach is that it takes into account multiple stakeholders point of view in determining service quality attributes. Besides, certain criteria that have become more relevant in modern times particularly those related to sustainability such as eco-friendliness, human resources, and technological soundness are also part of our study. Journal: Int. J. of Logistics Systems and Management Pages: 190-214 Issue: 2 Volume: 29 Year: 2018 Keywords: logistics service quality; LSQ; gap analysis; quality function deployment; QFD; AHP. File-URL: http://www.inderscience.com/link.php?id=89171 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:190-214 Template-Type: ReDIF-Article 1.0 Author-Name: Ankit Mahindroo Author-X-Name-First: Ankit Author-X-Name-Last: Mahindroo Author-Name: Harsh Vardhan Samalia Author-X-Name-First: Harsh Vardhan Author-X-Name-Last: Samalia Author-Name: Piyush Verma Author-X-Name-First: Piyush Author-X-Name-Last: Verma Title: Information systems road map to enhance economic and operational reverse logistics performance Abstract: Industry experts have realised the importance of implementing reverse logistics (RL) for gaining competitive advantage. Although not prominent in all kinds of industrial domains, RL is slowly becoming the factor which can lead towards organisational competitive advantage. With organisations constantly looking for greater profit margins and better operational performances, one way through which it can be achieved is through investments in information systems (IS). This study, through a series of regression analysis, makes an effort to create a road map by analysing relationships between selected IS constructs and the corresponding economic and operational performance measures, individually as well as in combination. The findings of the study reveal that IS used for value creating activities and logistical operations play a much greater role in improving overall RL performance, while the impact of each of the constructs individually on the economic and operational performance has been elaborated in the discussion section. Journal: Int. J. of Logistics Systems and Management Pages: 215-240 Issue: 2 Volume: 29 Year: 2018 Keywords: reverse logistics; RL; information systems; supply chain; supply chain management; economic performance; operational performance; financial performance; transaction cost; partnership; value creation; system capability; regression analysis; multiple linear regression; MLR. File-URL: http://www.inderscience.com/link.php?id=89172 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:215-240 Template-Type: ReDIF-Article 1.0 Author-Name: Wakhid Ahmad Jauhari Author-X-Name-First: Wakhid Ahmad Author-X-Name-Last: Jauhari Title: A collaborative inventory model for vendor-buyer system with stochastic demand, defective items and carbon emission cost Abstract: This paper develops a joint economic lot-sizing problem (JELP) involving of a vendor and a buyer under defective products. The vendor's production process is assumed to be imperfect, hence the lot delivered to the buyer may contain a certain number of imperfect products with known probability density function. The carbon emissions are considered in the model and are calculated from both transportation and production activities. The model also considers a situation in which the vendor has an opportunity to adjust the production rate. The objective of the model is to minimise total cost by simultaneously determining the shipment size, number of deliveries, production rate and safety factor. An iterative procedure is suggested for solving the model. Numerical examples are used to illustrate the application of the model. Journal: Int. J. of Logistics Systems and Management Pages: 241-269 Issue: 2 Volume: 29 Year: 2018 Keywords: joint economic lot-sizing; defective products; carbon emission; production rate; stochastic demand. File-URL: http://www.inderscience.com/link.php?id=89173 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:241-269 Template-Type: ReDIF-Article 1.0 Author-Name: Sakaradhorn Boontaveeyuwat Author-X-Name-First: Sakaradhorn Author-X-Name-Last: Boontaveeyuwat Title: Optimising the location of a hub port in Thailand for arrival of Dawei and Pakbara ports Abstract: This paper considers a hub port selection problem for Thailand by evaluating the Dawei and Pakbara ports based on expected hub competition among other existing major ports in Southeast Asia that focus on servicing the local demands for container transport in Thailand. The infrastructure capability of ports in handling containers at berths is also analysed. The cargo supply and demand come from several ports in the world considered as the origin and destination points for 76 provinces in Thailand. A mixed integer programming model is developed to minimise the total system costs, taking into account vessel operating cost, port cost and inland logistics cost considered as three modes of transport: road, waterway-road and rail-road modes. In total, the model consists of 26,755 decision variables, five integer variables and 82,690 constraints. The results show that the two foreign ports (Port Klang and Singapore ports) are a better choice than the two new arrivals (Pakbara and Dawei ports) for serving Thailand local demands and are close runners up to Laem Chabang port. Journal: Int. J. of Logistics Systems and Management Pages: 271-295 Issue: 3 Volume: 29 Year: 2018 Keywords: hub port; cost minimisation; Dawei port; Pakbara port; mixed integer programming; P-hub median problem; Thailand. File-URL: http://www.inderscience.com/link.php?id=89788 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:271-295 Template-Type: ReDIF-Article 1.0 Author-Name: Masoud Mohammadzadeh Author-X-Name-First: Masoud Author-X-Name-Last: Mohammadzadeh Author-Name: Abolfazl Mirzazadeh Author-X-Name-First: Abolfazl Author-X-Name-Last: Mirzazadeh Title: A production-inventory model in vendor managed inventory system with deteriorating items and pricing in fuzzy environment Abstract: In this paper, we develop a vendor managed inventory system for a supply chain with two levels. First level is one manufacturer and second level is several non-competing retailers. The manufacturer produces a deteriorating product from a deteriorating raw material. All deteriorating rates assumed as fuzzy numbers. The demands in retailers are price sensitive based on predefined function with fuzzy parameters. The manufacturer can produce products at a variable production rate that is one of the decision variables of our model. Other decision variables are retail price, the replenishment frequency of raw material, the replenishment cycle of the product that obtained by maximising the total profit of the entire chain. Because of concavity of the profit functions, with a solution algorithm, the exact optimal solution was found. At the end, a numerical example is presented to illustrate the model performance with a sensitivity analysis. Finally, some conclusions and future research directions are proposed. Journal: Int. J. of Logistics Systems and Management Pages: 296-326 Issue: 3 Volume: 29 Year: 2018 Keywords: vendor managed inventory; VMI; pricing; production rate; fuzzy deteriorating rate; nonlinear optimisation. File-URL: http://www.inderscience.com/link.php?id=89789 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:296-326 Template-Type: ReDIF-Article 1.0 Author-Name: Marzieh Keshavarz Author-X-Name-First: Marzieh Author-X-Name-Last: Keshavarz Author-Name: Seyed Hamid Reza Pasandideh Author-X-Name-First: Seyed Hamid Reza Author-X-Name-Last: Pasandideh Title: Multi-objective optimisation of continuous review inventory system under mixture of lost sales and backorders within different constraints Abstract: This paper presents a continuous review stochastic inventory control system. The demand of each product assumed stochastic. In inventory models, it is common to assume that unsatisfied demand is backordered. We considered mixture of lost sales and backorders for shortages. We optimised inventory system with finding fraction of demand backordered. Also, we considered service level in model to improve customer satisfaction and compete better in retail environment. We considered two conflicting objectives: 1) minimising the total cost; 2) maximising the service level. The goal is to generate more diverse and better non-dominated solutions of reorder point, order size and fraction of demand backordered such that the total inventory cost is minimised and the service level is maximised. We considered constraints such as warehouse space, order quantity and restriction on available budget. Constraints are stochastic and follow normal distribution. Two multi-objective optimiser multi-objective particle swarm optimisation (MOPSO) and non-dominated sorting genetic algorithm (NSGA-II) is proposed to solve the problem. We compared the performance of two proposed algorithms with TOPSIS and statistical method. In this comparison, the optimum values of the NSGA-II parameters were obtained using regression analysis. Journal: Int. J. of Logistics Systems and Management Pages: 327-348 Issue: 3 Volume: 29 Year: 2018 Keywords: multi-objective optimisation; inventory; backorder; lost sale; continuous review policy; NSGA-II; MOPSO; service level; shortage; regression analysis. File-URL: http://www.inderscience.com/link.php?id=89790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:327-348 Template-Type: ReDIF-Article 1.0 Author-Name: İsmail Çağrı Özcan Author-X-Name-First: İsmail Çağrı Author-X-Name-Last: Özcan Author-Name: Volkan Recai Çetin Author-X-Name-First: Volkan Recai Author-X-Name-Last: Çetin Author-Name: Muhammed Bilge Kağan Albayrak Author-X-Name-First: Muhammed Bilge Kağan Author-X-Name-Last: Albayrak Title: A Delphi-based scenario analysis of Turkish logistics industry for 2023 Abstract: This study attempts to forecast future scenarios of Turkish logistics industry for 2023 which is the 100th anniversary of the establishment of the Republic of Turkey. The major findings of the two-round Delphi survey reveal that the panel experts expect: 1) new foreign logistics firms will enter Turkish logistics market where the competitive advantages of the global logistics firms over their Turkish competitors will increase and vertical integration and consolidation tendency will likely to rise; 2) Turkey will become an international logistics centre thanks to its geographical advantage but political instabilities in Turkey's neighbour countries will continue to be a problem for goods transportation; 3) share of the state-owned enterprises will decrease in logistics industry but ambiguity in authorisation process of relevant public agencies in logistics industry will maintain the situation of too many talking heads; 4) Turkey will improve its position in the logistics performance index. Journal: Int. J. of Logistics Systems and Management Pages: 349-373 Issue: 3 Volume: 29 Year: 2018 Keywords: logistics industry; Delphi method; Turkey; scenario analysis. File-URL: http://www.inderscience.com/link.php?id=89791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:349-373 Template-Type: ReDIF-Article 1.0 Author-Name: Dega Nagaraju Author-X-Name-First: Dega Author-X-Name-Last: Nagaraju Author-Name: Kalla Kiran Kumar Author-X-Name-First: Kalla Kiran Author-X-Name-Last: Kumar Author-Name: S. Narayanan Author-X-Name-First: S. Author-X-Name-Last: Narayanan Title: Optimal pricing and inventory decisions in a centralised and de-centralised two-echelon inventory system under nonlinear price dependent demand Abstract: In this paper, a two-echelon inventory system with a single-manufacturer and single-retailer is considered. Mathematical model for both centralised and decentralised supply chain (SC) is developed by incorporating setup/ordering cost, carrying cost and transportation cost of the respective entities of the chain. Replenishment quantity of the retailer and the number of shipments from manufacturer to retailer are considered as the decision variables in the model. The objective of the proposed model is to demonstrate the optimality of the annual net revenue of the SC and the decision variables under nonlinear price-dependent demand. A numerical example is devised and the model is solved using the computer program written in MATLAB. Also, the sensitivity analysis is carried out to demonstrate the variation in the objective function with model parameters. From the findings of the research, it is concluded that with centralised decisions, percentage increase in the optimality of the annual net revenue of the SC decreases with manufacturer's unit cost whereas increases with retailer's unit cost. Journal: Int. J. of Logistics Systems and Management Pages: 374-398 Issue: 3 Volume: 29 Year: 2018 Keywords: two-echelon inventory system; mathematical model; transportation cost; number of shipments; nonlinear price dependent demand. File-URL: http://www.inderscience.com/link.php?id=89792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:374-398 Template-Type: ReDIF-Article 1.0 Author-Name: Junmin Yi Author-X-Name-First: Junmin Author-X-Name-Last: Yi Author-Name: Huizhen You Author-X-Name-First: Huizhen Author-X-Name-Last: You Title: Delivery of Chinese mitten crab during peak season: logistics dilemma for micro-e-businesses Abstract: The enjoyment of Chinese mitten crab from Yangcheng Lake during mid-autumn has been cherished by wealthy people in the Yangtze Delta for a long time. With this delicacy tradition widespread throughout China, delivering these live crabs at the right time to different destinations has become a challenge in the current information-driven market. Such delivery poses remarkable logistics requirements for emerging micro-e-businesses. In this study, the packaging and shipping processes completed by farmers were examined. The logistics service provider's operations were analysed in terms of parcel entry and sorting, routing and transportation, and last-mile delivery. Finally, logistics capacity versus performance dilemma was identified. Based on the problems identified in the investigation, appropriate strategies are suggested for the logistics and supply-chain system. Journal: Int. J. of Logistics Systems and Management Pages: 399-408 Issue: 3 Volume: 29 Year: 2018 Keywords: perishable food; delivery; logistics service provider; LSP; operations; e-business; case study; China. File-URL: http://www.inderscience.com/link.php?id=89795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:3:p:399-408 Template-Type: ReDIF-Article 1.0 Author-Name: Sadoullah Ebrahimnejad Author-X-Name-First: Sadoullah Author-X-Name-Last: Ebrahimnejad Author-Name: Vahid Rahimi Author-X-Name-First: Vahid Author-X-Name-Last: Rahimi Author-Name: Seyed Amirhossein Moosavi Author-X-Name-First: Seyed Amirhossein Author-X-Name-Last: Moosavi Title: A proposed grey fuzzy multi-objective programming model in supplier selection: a case study in the automotive parts industry Abstract: One of the research areas which have drawn authors' attention is suppliers' evaluation and quota allocation. In previous studies, suppliers have been assessed mostly by multi-objective decision making models when there are conflicting objectives. In this paper, the problems of supplier selection and quota allocation have been investigated based on conflicting criteria, where the accessible data are imprecise. One of the greatest achievements of the current study is selecting the superior suppliers from a large number in terms of conflicting objectives. Given that the data are defined as grey numbers, the grey multi-objective programming (MOP) model has been solved by goal programming (GP) method where aspiration levels are fuzzy. The proposed approach has been evaluated by studying a real case study in the automotive parts manufacturer. And finally, a sensitivity analysis has been carried out to figure out the effect of variation of criteria's values on the supplier quotas. Journal: Int. J. of Logistics Systems and Management Pages: 409-435 Issue: 4 Volume: 29 Year: 2018 Keywords: supply chain management; SCM; supplier selection; grey fuzzy goal programming; quota allocation to suppliers; grey programming; automotive part industry. File-URL: http://www.inderscience.com/link.php?id=90471 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:409-435 Template-Type: ReDIF-Article 1.0 Author-Name: Elham Shayanfar Author-X-Name-First: Elham Author-X-Name-Last: Shayanfar Author-Name: Paul M. Schonfeld Author-X-Name-First: Paul M. Author-X-Name-Last: Schonfeld Title: Selecting and scheduling interrelated projects: application in urban road network investment Abstract: Decisions about the selection of projects, alternatives, investments, operating policies and their implementation schedules are major subjects in various fields including operations research, financial analysis, business management, engineering economy and transportation planning. In these various disciplines sufficiently good methods have been developed for planning and prioritising projects when interrelations among those projects are negligible. However, methods for analysing interrelated alternatives are still inadequate. We propose a combinatorial method for evaluating and scheduling interrelated roadnetwork projects. In particular, this paper demonstrates how a traffic assignment model can be combined effectively with a genetic algorithm (GA) in a multi-period analysis to select and schedule road network projects while capturing interactions among those projects. The goal is to determine which projects should be selected and when they should be funded in order to minimise the present value of total system cost over a planning horizon, subject to budget flow constraints. Journal: Int. J. of Logistics Systems and Management Pages: 436-454 Issue: 4 Volume: 29 Year: 2018 Keywords: project selection and scheduling; genetic algorithm; GA; project interrelations; user equilibrium; project evaluation; system optimisation; planning and prioritising projects; minimising system cost. File-URL: http://www.inderscience.com/link.php?id=90472 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:436-454 Template-Type: ReDIF-Article 1.0 Author-Name: Hasnaa Rezki Author-X-Name-First: Hasnaa Author-X-Name-Last: Rezki Author-Name: Brahim Aghezzaf Author-X-Name-First: Brahim Author-X-Name-Last: Aghezzaf Title: λ-GRASP with bi-directional path relinking for the bi-objective orienteering problem Abstract: This paper presents a new approach to solve the bi-objective orienteering problem (BOOP). The BOOP is a multi-objective extension of the well-known orienteering problem (OP). The multi-objective aspect stems from the personalised tourist routes planning problem, in which each point of interest in a city provides different profits associated with different categories. The aim of the BOOP is to find routes satisfying a given travel cost restriction, and visiting some points of interest that maximise the total collected of different profits. To generate a good approximation of Pareto-optimal solutions, we develop a new metaheuristic method based on hybridisation of λ-GRASP and a new variant of the path relinking procedure called bi-directional path relinking (BDPR). The latter is used as an intensification phase, with the goal to obtain new solutions that can eventually be part of the set of the Pareto-optimal solutions. The proposed approach is tested on benchmark instances taken from the literature. It is compared with the Pareto ant colony optimisation algorithm (P-ACO) and the variable neighbourhood search method (VNS). Computational results show that, compared to the P-ACO and the VNS procedures, the proposed method provide a good approximation of the Pareto front for the bi-objective orienteering problem. Journal: Int. J. of Logistics Systems and Management Pages: 455-475 Issue: 4 Volume: 29 Year: 2018 Keywords: bi-objective orienteering problem; BOOP; greedy randomised adaptive search procedure; GRASP; Pareto-optimal solutions; bi-directional path relinking; BDPR; hybridisation. File-URL: http://www.inderscience.com/link.php?id=90473 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:455-475 Template-Type: ReDIF-Article 1.0 Author-Name: Marcello Braglia Author-X-Name-First: Marcello Author-X-Name-Last: Braglia Author-Name: Davide Castellano Author-X-Name-First: Davide Author-X-Name-Last: Castellano Author-Name: Dongping Song Author-X-Name-First: Dongping Author-X-Name-Last: Song Title: Optimising replenishment policy in an integrated supply chain with controllable lead time and backorders-lost sales mixture Abstract: This paper aims to optimise the inventory replenishment policy in an integrated supply chain consisting of a single supplier and a single buyer. The system under consideration has the features such as backorders-lost sales mixture, controllable lead time, stochastic demand, and stockout costs. The underlying problem has not been studied in the literature. We present a novel approach to formulate the optimisation problem, which is able to satisfy the constraint on the number of admissible stockouts per time unit. To solve the optimisation problem, we propose two algorithms: an exact algorithm and a heuristic algorithm. These two algorithms are developed based on some analytical properties that we established by analysing the cost function in relation to the decision variables. The heuristic algorithm employs an approximation technique based on an ad-hoc Taylor series expansion. Extensive numerical experiments are provided to demonstrate the effectiveness of the proposed algorithms. Journal: Int. J. of Logistics Systems and Management Pages: 476-501 Issue: 4 Volume: 29 Year: 2018 Keywords: integrated supply chain; replenishment policy; stochastic demand; controllable lead time; backorders; lost sales; joint economic lot size; JELS. File-URL: http://www.inderscience.com/link.php?id=90474 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:476-501 Template-Type: ReDIF-Article 1.0 Author-Name: A.S. Balakrishnan Author-X-Name-First: A.S. Author-X-Name-Last: Balakrishnan Author-Name: Jayshree Suresh Author-X-Name-First: Jayshree Author-X-Name-Last: Suresh Title: Green supply chain management in Indian automotive sector Abstract: The burden on automotive companies to embrace green processes has increased significantly in recent years. A review of the existing literature has highlighted a need to understand how green supply chain management (GSCM) practices can contribute to improving company performance from environmental, economic and operational. This research aims to test the relationship between GSCM practices and performance for those companies adopted or planning to adopt GSCM in an emerging economy such as India. Outcome of the testing shows GSCM practices varies against companies' performance. It implies that companies appear to have unsuccessful to understand the link between GSCM practices and performance. Journal: Int. J. of Logistics Systems and Management Pages: 502-523 Issue: 4 Volume: 29 Year: 2018 Keywords: green supply chain management; GSCM; environment; automotive; practices; performance; India. File-URL: http://www.inderscience.com/link.php?id=90476 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:502-523 Template-Type: ReDIF-Article 1.0 Author-Name: S. Malolan Author-X-Name-First: S. Author-X-Name-Last: Malolan Author-Name: M. Mathirajan Author-X-Name-First: M. Author-X-Name-Last: Mathirajan Title: Inventory and production planning for component remanufacturing in an original equipment manufacturer-closed loop supply chain Abstract: In this study, an OEM assembling a single product using multiple-components is considered. The components are obtained either by manufacturing from raw materials and or remanufacturing from returns and or procuring from external suppliers. The returns, product returned after use by the customer, are obtained after paying a return acquisition price. The return acquisition price is a fixed price paid based on the utilisation time of the return. The returns are dismantled into components: 1) which can be remanufactured; 2) which cannot be remanufactured (meant for disposal). The manufacturing, remanufacturing and assembly operations are integrated as a closed loop supply chain system and can be performed by any OEM. It appears from the literature review that the OEM-CLSC system, where components are remanufactured by OEM themselves, has not been considered in any of the previous research literature. This study addresses this research gap by considering a singleproduct multi-component remanufacturing of an OEM-CLSC problem. For addressing the research problem considered, a mathematical model is proposed to identify the optimal inventories and the production plan. Finally, an empirical analysis is carried out to determine the breakeven capacity for remanufacturing operation by suitably introducing a breakeven analysis model. Journal: Int. J. of Logistics Systems and Management Pages: 524-556 Issue: 4 Volume: 29 Year: 2018 Keywords: closed loop supply chain; CLSC; return acquisition price; remanufacturing; production planning and inventory management; breakeven analysis. File-URL: http://www.inderscience.com/link.php?id=90477 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:29:y:2018:i:4:p:524-556 Template-Type: ReDIF-Article 1.0 Author-Name: Abirami Radhakrishnan Author-X-Name-First: Abirami Author-X-Name-Last: Radhakrishnan Author-Name: Dessa J. David Author-X-Name-First: Dessa J. Author-X-Name-Last: David Author-Name: Sri V. Sridharan Author-X-Name-First: Sri V. Author-X-Name-Last: Sridharan Author-Name: John Stephen Davis Author-X-Name-First: John Stephen Author-X-Name-Last: Davis Title: Re-examining supply chain integration: a resource dependency theory perspective Abstract: Many researchers and practitioners recognise supply chain integration as a critical success factor in supply chain management. This study develops an improved measurement model for this factor grounded in resource dependency theory and employing principles from multiple fields such as supply chain management, information systems management, and inter-organisational relationship management. This re-conceptualised model is validated by a large scale empirical study involving 154 business units. Confirmatory factor analysis helps assess the construct validity of the new measurement model. Journal: Int. J. of Logistics Systems and Management Pages: 1-30 Issue: 1 Volume: 30 Year: 2018 Keywords: supply chain integration; SCI; supply chain management; logistics management; confirmatory factor analysis; empirical research; construct validity. File-URL: http://www.inderscience.com/link.php?id=91444 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:1:p:1-30 Template-Type: ReDIF-Article 1.0 Author-Name: Karine Araújo Ferreira Author-X-Name-First: Karine Araújo Author-X-Name-Last: Ferreira Author-Name: Larissa Almeida Flávio Author-X-Name-First: Larissa Almeida Author-X-Name-Last: Flávio Author-Name: Lasara Fabrícia Rodrigues Author-X-Name-First: Lasara Fabrícia Author-X-Name-Last: Rodrigues Title: Postponement: bibliometric analysis and systematic review of the literature Abstract: Postponement, which refers to the delay of the final configuration and/or forward movement of goods until the consumer requests are received, is an important strategy to increase agility and flexibility of production and logistics systems. This study aims to carry out a bibliometric analysis and a systematic review of relevant literature on postponement strategy. Bibliometrics was applied as a quantitative technique using the Web of Science database and the CiteSpace software. As for the qualitative analysis, a systematic review of selected publications was carried out. In the first search in the Web of Science, 1,670 publications were identified, and after successive refinements, a dataset of 53 articles was selected. The bibliometric analysis allowed the selection of journals, authors, and prominent publications in the area, which enabled the construction of citation and co-citation maps. The systematic review allowed the identification of topics, main contributions, and methods used in the selected articles. Journal: Int. J. of Logistics Systems and Management Pages: 69-94 Issue: 1 Volume: 30 Year: 2018 Keywords: postponement; mass customisation; supply chain management; SCM; bibliometric analysis; systematic review. File-URL: http://www.inderscience.com/link.php?id=91445 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:1:p:69-94 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Najjartabar-Bisheh Author-X-Name-First: Mohammad Author-X-Name-Last: Najjartabar-Bisheh Author-Name: Mojgan Delavari Author-X-Name-First: Mojgan Author-X-Name-Last: Delavari Author-Name: Behnam Malmir Author-X-Name-First: Behnam Author-X-Name-Last: Malmir Title: Role of third-party companies in a sustainable supply chain design Abstract: Uncertainties and constraints, such as capacity, add to complexity of supply chain network design, while the role of third-party companies in global supply chain networks is increasing. The present work considered the role of third-party companies in supply chain design in order to increase understanding of the uncertainty of demand, capacity constraints, and backorder shortages. A nonlinear mixed-integer model was introduced to optimise a closed-loop supply chain in an international network. Although exact methods are useful for small size instances, the mixed-integer model was solved by two meta-heuristic algorithms in real-size problems. The ANOVA test was applied for small-sized and large-sized problems in order to check the efficiency of meta-heuristics. Results showed that the imperialist competitive algorithm and particle swarm optimisation gained reliable and efficient solutions. A sensitivity analysis of important inventory parameters such as holding cost and demand was also conducted. Journal: Int. J. of Logistics Systems and Management Pages: 95-112 Issue: 1 Volume: 30 Year: 2018 Keywords: third-party companies; closed-loop supply chain; meta-heuristic; analysis of variance. File-URL: http://www.inderscience.com/link.php?id=91449 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:1:p:95-112 Template-Type: ReDIF-Article 1.0 Author-Name: S. Porselvi Author-X-Name-First: S. Author-X-Name-Last: Porselvi Author-Name: A.N. Balaji Author-X-Name-First: A.N. Author-X-Name-Last: Balaji Author-Name: N. Jawahar Author-X-Name-First: N. Author-X-Name-Last: Jawahar Title: Artificial immune system and particle swarm optimisation algorithms for an integrated production and distribution scheduling problem Abstract: This paper investigates an integrated production and distribution scheduling problem in a make to order supply chain. In the production part, manufacturing lots of different kinds of same product are produced on machines in a flow shop environment. All the products have a deterministic processing time and a sequence dependent setup time on each machine. In the distribution part, delivering of manufacturing lots to different customers are made by distribution centres having several modes of shipping. A mathematical model is developed and two algorithms, i.e., artificial immune system (AIS) and particle swarm optimisation (PSO) are proposed and illustrated. The proposed methodologies are evaluated for its solution quality by comparing with solutions obtained by CPLEX and CP solver. The comparison reveals that AIS algorithm generates better solution than PSO algorithm and CP and is capable of providing solution either equal or closer to lower bound value provided by CPLEX. Journal: Int. J. of Logistics Systems and Management Pages: 31-68 Issue: 1 Volume: 30 Year: 2018 Keywords: integrated production and distribution scheduling; IPDS; supply chain; artificial immune system algorithm; AIS; particle swarm optimisation algorithm; PSO; CPLEX; constraint programming; CP. File-URL: http://www.inderscience.com/link.php?id=91451 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:1:p:31-68 Template-Type: ReDIF-Article 1.0 Author-Name: Surajit Bag Author-X-Name-First: Surajit Author-X-Name-Last: Bag Title: Buyer-supplier relationship and trust theory in innovative green procurement practices Abstract: In the '80s, buyers used to maintain an arms-length relationship with suppliers. However, in the early nineties a dramatic change has occurred and buyers started treating close suppliers as business partners. This paper aims to examine how buyer-supplier relationship management can contribute to innovative green procurement performance through the improvement of trust in the South African context. The hypotheses of this study were tested with the data from 50 South African manufacturing companies. Data collection involved convenience sampling and survey methodology in a research setting using procurement managers as subjects. The construct measures were based on existing measures and previous research studies. The reliability and validity of items were tested using exploratory factor analysis and an overall measurement model was assessed with mediating regression analysis using SPSS 22.0 version. The paper finds that trust plays a critical and mediating role in the relationship between buyer-supplier relationship and innovative green procurement performance. The present study is unique in terms of scope and its contribution to both buyer-supplier relationship theory and practice. Journal: Int. J. of Logistics Systems and Management Pages: 113-137 Issue: 1 Volume: 30 Year: 2018 Keywords: buyer-supplier relationship; trust; innovation; green procurement performance. File-URL: http://www.inderscience.com/link.php?id=91452 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:1:p:113-137 Template-Type: ReDIF-Article 1.0 Author-Name: Deepak Kumar Author-X-Name-First: Deepak Author-X-Name-Last: Kumar Author-Name: Siddharth Jain Author-X-Name-First: Siddharth Author-X-Name-Last: Jain Author-Name: Mohit Tyagi Author-X-Name-First: Mohit Author-X-Name-Last: Tyagi Author-Name: Pradeep Kumar Author-X-Name-First: Pradeep Author-X-Name-Last: Kumar Title: Quantitative assessment of mutual relationship of issues experienced in greening supply chain using ISM-fuzzy MICMAC approach Abstract: The present research work deals with the identification of the issues, which act as major barriers in greening supply chain. On the basis of literature review and discussion with the field experts, the eleven green supply chain issues were identified and analysed by using interpretive structural modelling (ISM). To visualise the driving and dependency nature of the identified issues, ISM model has been developed. The developed ISM model would help to understand the direct relationship among the considered issues. Further, to establish the direct and indirect relationship of one issue with respect to each other issue, fuzzy MICMAC has been used. The outcomes of this analysis may help the managers to build a path in order to improve the GSCM system of an organisation in respect of maximum economic output with minimum environmental impact. Journal: Int. J. of Logistics Systems and Management Pages: 162-178 Issue: 2 Volume: 30 Year: 2018 Keywords: green supply chain management; GSCM; interpretive structural modelling; ISM; structural self-interaction matrix; SSIM; fuzzy MICMAC; green issues. File-URL: http://www.inderscience.com/link.php?id=91960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:162-178 Template-Type: ReDIF-Article 1.0 Author-Name: Chirawat Woarawichai Author-X-Name-First: Chirawat Author-X-Name-Last: Woarawichai Author-Name: Thanakorn Naenna Author-X-Name-First: Thanakorn Author-X-Name-Last: Naenna Title: Solving inventory lot-sizing with supplier selection under alternative quantity discounts and vehicle capacity Abstract: In this paper, we present a multi-product and multi-period inventory lot-sizing problem with supplier selection under alternative quantity discounts and vehicle capacity. Each supplier offers quantity discounts (all-units and incremental discounts) to motivate the buyer for purchasing large quantity. In addition, we consider that the capacity each vehicle of the supplier transport the products to the decision maker (buyer). The objectives are to minimise total costs, where the costs include purchase cost of the products, ordering cost for the suppliers, transportation cost for the suppliers and holding cost of the remaining inventory in each period. The problem is formulated as a mixed integer linear programming (MILP) model. Finally, a numerical example is provided to illustrate the solution procedure. The MILP model can provide a satisfactory solution with a very short elapsed runtime. The results, the buyer needs to determine what products to order in what quantities with which suppliers in which periods, in order to satisfy overall demand. Journal: Int. J. of Logistics Systems and Management Pages: 179-194 Issue: 2 Volume: 30 Year: 2018 Keywords: inventory lot-sizing; supplier selection; quantity discounts; vehicle capacity; multi-product. File-URL: http://www.inderscience.com/link.php?id=91961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:179-194 Template-Type: ReDIF-Article 1.0 Author-Name: Luca Urciuoli Author-X-Name-First: Luca Author-X-Name-Last: Urciuoli Author-Name: Juha Hintsa Author-X-Name-First: Juha Author-X-Name-Last: Hintsa Title: Improving supply chain risk management - can additional data help? Abstract: The recent large number of catastrophic events, such as terrorist attacks, natural disasters and pandemics, has drawn attention to the vulnerability of supply chains and the capability of IT system to monitor, predict and counteract adverse events. Experts agree that visibility and information sharing are fundamental tools to enhance the management of supply chain risks. Hence, by means of field studies conducted with seven companies, this study aims to shed more light upon how information sharing can improve supply chain risk management. As a result, the analysed companies showed great differences in their wishes for how to develop information sharing in the supply chain. Some respondents had clear visions for sophisticated, automated systems, whereas others expressed no wishes at all. Journal: Int. J. of Logistics Systems and Management Pages: 195-224 Issue: 2 Volume: 30 Year: 2018 Keywords: supply chain risk management; information systems; information and communication technology; information exchange. File-URL: http://www.inderscience.com/link.php?id=91962 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:195-224 Template-Type: ReDIF-Article 1.0 Author-Name: Dibyajyoti Ghosh Author-X-Name-First: Dibyajyoti Author-X-Name-Last: Ghosh Author-Name: Sandeep Mondal Author-X-Name-First: Sandeep Author-X-Name-Last: Mondal Title: An integrated production-distribution planning of dairy industry - a case study Abstract: In dairy, where the product shelf life is too short, integrated production and distribution (P-D) planning is one of the important decision making area. This paper basically discusses one such P-D planning of an Indian milk industry. A three-echelon supply chain model is developed including suppliers, plant and retailers. Fluid milk products and milk made products are the two product families that are produced by the plant, where several important issues are considered with P-D planning like, deterioration rate of raw milk and final products, cost related issues of raw milk, transportation, collection, production, inventory, set up, and time related issues in late or early delivery of the final products to retailers. This model, in fact includes both production scheduling and distribution scheduling. A mixed integer linear programming (MILP) model is used to formulate the above situation to maximise the overall profit contribution of the business. The MILP is solved by using OPL language in CPLEX, and a comparison is made with the current business situation and the improved condition through sensitivity analysis of the collection; production and distribution parameters. Journal: Int. J. of Logistics Systems and Management Pages: 225-245 Issue: 2 Volume: 30 Year: 2018 Keywords: production-distribution planning; dairy industry; mixed integer linear programming; MILP; scheduling. File-URL: http://www.inderscience.com/link.php?id=91963 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:225-245 Template-Type: ReDIF-Article 1.0 Author-Name: Jonrinaldi Author-X-Name-First: Author-X-Name-Last: Jonrinaldi Author-Name: Taufiq Rahman Author-X-Name-First: Taufiq Author-X-Name-Last: Rahman Author-Name: David Z. Zhang Author-X-Name-First: David Z. Author-X-Name-Last: Zhang Title: An integrated model of production and inventory cycles of new and reusable bottling packages in a closed supply chain Abstract: This paper proposes a model and solution for integrated production and inventory of new and reusable bottling packages. The inventory which did not match the production needs is caused by the difference of production policy and the reverse logistics policy from distribution centre. In addition, this problem is also influenced by cleanliness level of the bottles and the reject bottles during transportation. The solution procedures of this model use algorithm method and simultaneous approach (using software LINGO 14.0). From the calculation, this model obtains a valid result. The company can reduce the inventory cost about 8.88% using enumeration approach and 8.84% using simultaneous approach. Also, this model is not sensitive in terms of changes of parameter to optimum solution. Journal: Int. J. of Logistics Systems and Management Pages: 246-267 Issue: 2 Volume: 30 Year: 2018 Keywords: reverse logistics; integrated inventory model; bottling packages; inventory cost; closed supply chain. File-URL: http://www.inderscience.com/link.php?id=91964 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:246-267 Template-Type: ReDIF-Article 1.0 Author-Name: Kaliyan Mathiyazhagan Author-X-Name-First: Kaliyan Author-X-Name-Last: Mathiyazhagan Author-Name: Abhishek Bhalotia Author-X-Name-First: Abhishek Author-X-Name-Last: Bhalotia Title: Assessment of criteria for the selection of third party logistics provider: a case from India Abstract: In today's business world, it is very difficult for an industry any to be competitive without working in close collaboration with external partners. Third party logistics provider (TLP) is an important partner to provide the proper logistic service. Selection of proper logistics suppliers endeavours and enhances the intensity of the hiring organisation. To select the appropriate TLP is a tough task for manager based on the criteria. Evaluating the criteria for the selection of TLP is an essential task for industries. This paper sensibly assesses the selection criteria and determines the weight of each indicator using analytic hierarchy process (AHP). This study was focused on 43 different industries across India as the survey object, and every endeavour was given two questionnaires. A variable cost criterion is acting as an important criterion for the selection of TLP. Journal: Int. J. of Logistics Systems and Management Pages: 268-282 Issue: 2 Volume: 30 Year: 2018 Keywords: analytic hierarchy process; AHP; third-party logistics providers; TLP; evaluation criteria for 3PL; sustainable criteria in selection for TLP; India. File-URL: http://www.inderscience.com/link.php?id=91965 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:2:p:268-282 Template-Type: ReDIF-Article 1.0 Author-Name: Alvaro Luiz Neuenfeldt Júnior Author-X-Name-First: Alvaro Luiz Neuenfeldt Author-X-Name-Last: Júnior Author-Name: Julio Cezar Mairesse Siluk Author-X-Name-First: Julio Cezar Mairesse Author-X-Name-Last: Siluk Author-Name: Marlon Soliman Author-X-Name-First: Marlon Author-X-Name-Last: Soliman Author-Name: Sabine De Paris Author-X-Name-First: Sabine De Author-X-Name-Last: Paris Title: Modelling for performance measurement of bus rapid transit systems in Brazil Abstract: Urban transit has a significant role in the recent social, economic and cultural society evolution, and it is one of the activities of greatest importance and concern in relation to urban administration and planning, since the issue involves more than half of the world's population. Considering the troubling situation of urban transportation, various activities have been planned to improve the conditions of urban mobility for bus rapid transit (BRT) systems. The responsible for these systems need tools capable of proactively indicate the operational conditions. The aim of this study is to propose a model for measuring the performance of BRT transportation in Brazil that assists administrators in the efficient management of the system, by using concepts that can indicate the competitiveness level in the sector. The instrument was applied to analyse the situation of 12 Brazilian cities with more than one million inhabitants that have BRT systems. It was found that the city of Curitiba has the system with the best installed conditions in the country, and whose evaluation was considered 'satisfactory', followed by Rio de Janeiro, Recife and São Paulo, with an acceptable reliability level. Journal: Int. J. of Logistics Systems and Management Pages: 283-297 Issue: 3 Volume: 30 Year: 2018 Keywords: logistics; bus rapid transit; BRT; performance measurement; analytic hierarchy process; AHP; Brazil. File-URL: http://www.inderscience.com/link.php?id=92611 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:283-297 Template-Type: ReDIF-Article 1.0 Author-Name: T.T.H. Duc Author-X-Name-First: T.T.H. Author-X-Name-Last: Duc Author-Name: N.T. Loi Author-X-Name-First: N.T. Author-X-Name-Last: Loi Author-Name: J. Buddhakulsomsiri Author-X-Name-First: J. Author-X-Name-Last: Buddhakulsomsiri Title: Buyback contract in a risk-averse supply chain with a return policy and price dependent demand Abstract: This paper examines a two-stage supply chain where a retailer offers a return policy with partial refund to end customers, and a manufacturer offers a buyback contract for all unsold and returned items to the retailer to share the risk. Customer demand is stochastic and price dependent. Key performance measure is the utility of profit, a function of the mean and variance of profit. Supply chain members are risk averse. Optimal buyback price, wholesale price, and retailer's order quantity are determined for the supply chain under coordination. A computational study is conducted to investigate the impacts of the members' risk attitudes, refund amount, and retail price on the optimal decisions. Further analysis shows break-even points among utility values at different retail prices as the risk attitude parameters and refund amount change. These break-even points provide a guideline for the retailers to adjust the price to maximise the utility of profit. Journal: Int. J. of Logistics Systems and Management Pages: 298-329 Issue: 3 Volume: 30 Year: 2018 Keywords: customer returns; supply chain coordination; buyback contract; price dependent demand; risk-averse; utility function. File-URL: http://www.inderscience.com/link.php?id=92612 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:298-329 Template-Type: ReDIF-Article 1.0 Author-Name: Jasneet Kaur Author-X-Name-First: Jasneet Author-X-Name-Last: Kaur Author-Name: Anjali Awasthi Author-X-Name-First: Anjali Author-X-Name-Last: Awasthi Title: A systematic literature review on barriers in green supply chain management Abstract: Green supply chain management has emerged as a trending topic of discussion for organisations thriving for enhanced competitive advantages, increased customer satisfaction, improved brand image, and of course minimum adverse impacts on the environment. The primary objective of this research is to perform literature analysis on the green supply chain barriers and propose a classification framework to prioritise the most impactful ones. Six different categories of classification are proposed to analyse the barriers namely multiple Ms (eight Ms), supply chain processes (design, purchasing, production, testing and inspection, packaging, transportation, warehousing, after sales service, and recycling), stakeholders (employees, customers, suppliers, government/regulatory, and non-government organisations), sustainability areas (societal, economic, environmental, technical), organisational hierarchy (top management/executive level, middle management/departmental level, worker/supervisory level) and others (psychological, technological, knowledge, and strategical). Classification of barriers using the proposed categories will assist decision makers in prioritising actions and channelling resources in the right direction for achieving sustainability objectives for green supply chain management. Journal: Int. J. of Logistics Systems and Management Pages: 330-348 Issue: 3 Volume: 30 Year: 2018 Keywords: green supply chain management; barriers; classification framework; systematic literature review. File-URL: http://www.inderscience.com/link.php?id=92613 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:330-348 Template-Type: ReDIF-Article 1.0 Author-Name: Felistas Ranganai Zimano Author-X-Name-First: Felistas Ranganai Author-X-Name-Last: Zimano Author-Name: Fayth Ruffin Author-X-Name-First: Fayth Author-X-Name-Last: Ruffin Title: Palpable linkage of supply chain performance to hard and soft infrastructure marriage: the case of SADC road entry point management systems Abstract: The supply of goods follows a chain with constituent parts, and the system's performance hinges on each constituent part's performance. In international supply chain and trade facilitation, one critical component is shipping of goods across borders. Border delays are inimical to supply chain efficiency. Modernising information communication technology is a widely hailed solution to easing this problem. In this paper, the importance of marrying hard and soft infrastructure for optimum efficiency is buttressed. This is based on empirical evidence from surveys involving 345 participants on four road entry points to Zimbabwe's territorial borders. Participants are truck drivers and small and medium entrepreneurs. Findings trace the perpetuation of delays, to failure to tie together hard and soft infrastructure components of entry point management systems. This consequently disturbs the supply chain of goods in the Southern African development community. Recommendations are made on how road entry point management systems can be improved, in order to enhance regional integration. Journal: Int. J. of Logistics Systems and Management Pages: 349-365 Issue: 3 Volume: 30 Year: 2018 Keywords: regional integration; international trade; supply chain; transactional costs; trade facilitation; small and medium-sized enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=92614 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:349-365 Template-Type: ReDIF-Article 1.0 Author-Name: Fatemeh Faraji Author-X-Name-First: Fatemeh Author-X-Name-Last: Faraji Author-Name: Behrouz Afshar-Nadjafi Author-X-Name-First: Behrouz Author-X-Name-Last: Afshar-Nadjafi Title: A bi-objective green location-routing model and solving problem using a hybrid metaheuristic algorithm Abstract: In the field of operations research, vehicle routing problems (VRP) have a great deal of importance because of its applications in transportation of goods and services. Until now many studies have been done about VRP, but there are few studies which have considered environmental perspective towards the problem. Besides, most of the bygone studies usually have considered only one objective which is minimisation of total travelling cost. In this paper, we try to tackle some flaws of the previous works in the proposed models for green routing problems by considering multiple depots, constraints of hard and soft time windows, heterogeneous vehicles, multiple periods and products. Since the aforementioned problem is considered to be NP-hard, metaheuristic algorithms are needed for solving it. Therefore, to tackle NP-hardness of the proposed model a combined algorithm of genetics algorithms (GA) and simulated annealing (SA) algorithms is proposed. Finally, for demonstrating the efficiency of the proposed algorithm, the solutions provided by the algorithm is compared to the solutions obtained from exact solving method in Gams software. The results demonstrate the efficiency of the proposed method. Journal: Int. J. of Logistics Systems and Management Pages: 366-385 Issue: 3 Volume: 30 Year: 2018 Keywords: green vehicle routing problem; time windows; heterogeneous fleet; metaheuristic algorithms. File-URL: http://www.inderscience.com/link.php?id=92615 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:366-385 Template-Type: ReDIF-Article 1.0 Author-Name: Mehdi Firouzi Author-X-Name-First: Mehdi Author-X-Name-Last: Firouzi Author-Name: Javid Jouzdani Author-X-Name-First: Javid Author-X-Name-Last: Jouzdani Author-Name: Hadi Shirouyehzad Author-X-Name-First: Hadi Author-X-Name-Last: Shirouyehzad Author-Name: Mohammad Mahdi Paydar Author-X-Name-First: Mohammad Mahdi Author-X-Name-Last: Paydar Title: A rich heterogeneous fleet vehicle routing problem with flexible time windows: a case study of dairy supply chain Abstract: Routing is a particularly important concept of cargo transport and has always enticed the interest of researchers and decision makers from different industries. The rich vehicle routing problem considers more realistic features of the real-world problems than the conventional problem. This article aims at solving a vehicle routing problem with heterogeneous fleet and flexible hard and soft time windows where flexible time windows allow for early and tardy deliveries in a given tolerance interval considering earliness and tardiness penalties through defining the earliness and tardiness as decision variables. In this paper, the proposed mathematical programming model is verified through several numerical examples using GAMS software. In order to demonstrate the applicability of the model, a real-world case study is provided. The results show the high potential of the proposed model for real-life application. Specifically, by applying the results of the case study, a 156,000 USD annual cost reduction is possible. Journal: Int. J. of Logistics Systems and Management Pages: 386-405 Issue: 3 Volume: 30 Year: 2018 Keywords: dairy supply chain; heterogeneous fleet; flexible time window; mathematical programming; rich vehicle routing. File-URL: http://www.inderscience.com/link.php?id=92617 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:386-405 Template-Type: ReDIF-Article 1.0 Author-Name: Jirawan Niemsakul Author-X-Name-First: Jirawan Author-X-Name-Last: Niemsakul Author-Name: Sardar M.N. Islam Author-X-Name-First: Sardar M.N. Author-X-Name-Last: Islam Author-Name: Duangpun Singkarin Author-X-Name-First: Duangpun Author-X-Name-Last: Singkarin Author-Name: Tuanjai Somboonwiwat Author-X-Name-First: Tuanjai Author-X-Name-Last: Somboonwiwat Title: Cost-benefit sharing in healthcare supply chain collaboration Abstract: This paper proposes a framework for the cost-benefit sharing in healthcare supply chain collaborations. Collaboration in a supply chain can lead to cost reductions, risk management and performance improvements. The key to a successful collaboration is that the costs and benefits are shared by all, in that the costs are taken from the entire system and mutual benefits are provided for all parties. Our literature review and interviews with experts investigated the following three processes. Firstly, the cost and benefit parameters are defined as coordinate costs and benefits by a cost-benefit analysis. Secondly, the cost-benefit sharing characteristics are classified as two-echelon, three-echelon, and multi-echelon. Thirdly, the collaboration levels are categorised into four levels: data sharing, information sharing, knowledge sharing and cost-benefit sharing. Consequently, the cost-benefit sharing scenarios are presented. Journal: Int. J. of Logistics Systems and Management Pages: 406-420 Issue: 3 Volume: 30 Year: 2018 Keywords: cost-benefit sharing; CBS; healthcare supply chain; collaboration; logistics systems. File-URL: http://www.inderscience.com/link.php?id=92624 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:406-420 Template-Type: ReDIF-Article 1.0 Author-Name: Ireneus Wior Author-X-Name-First: Ireneus Author-X-Name-Last: Wior Author-Name: Stefan Jerenz Author-X-Name-First: Stefan Author-X-Name-Last: Jerenz Author-Name: Alexander Fay Author-X-Name-First: Alexander Author-X-Name-Last: Fay Title: Automated transportation systems subject to interruptions in production and intralogistics - a survey and evaluation Abstract: To increase efficiency and productivity of production and intralogistic facilities, automated transportation systems are widely used nowadays. This paper examines effects of interruptions in different transportation systems on the performance of production and intralogistic facilities by evaluating current literature with a focus on simulation-based studies. Our first contribution is a new categorisation of conveyor-based and vehicle-based transportation systems. This categorisation does not follow a technological differentiation but focuses on the abilities of the transportation system categories to deal with transportation system interruptions. Thereafter, current literature in the domains of 'manufacturing systems', 'semiconductor facilities', 'general intralogistics' (e.g., warehouses), and 'container terminals' is surveyed with respect to this categorisation. This survey is our second contribution and aims to identify research directions thus far not sufficiently considered. Finally, having surveyed different domains, the strengths and weaknesses of different transportation system categories are extracted from the literature and summarised. That summary is our final contribution, and is intended as a guideline and support for engineers planning transportation systems. Two main shortcomings in the current literature are identified: Firstly, although recognised as significantly influencing the facility's performance, transportation interruptions are not sufficiently considered. Secondly, relatively few simulation studies compare different categories of transportation systems. Journal: Int. J. of Logistics Systems and Management Pages: 421-457 Issue: 4 Volume: 30 Year: 2018 Keywords: automated transportation systems; automated guided vehicle; AGV; simulation; performance analysis; warehousing systems; container terminals; manufacturing systems; semiconductor manufacture. File-URL: http://www.inderscience.com/link.php?id=93581 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:421-457 Template-Type: ReDIF-Article 1.0 Author-Name: Chandra K. Jaggi Author-X-Name-First: Chandra K. Author-X-Name-Last: Jaggi Author-Name: Sunil Tiwari Author-X-Name-First: Sunil Author-X-Name-Last: Tiwari Author-Name: Mamta Gupta Author-X-Name-First: Mamta Author-X-Name-Last: Gupta Title: Impact of trade credit on inventory models for Weibull distribution deteriorating items with partial backlogging in two-warehouse environment Abstract: This article analyses a two-warehouse inventory system for deteriorating items under trade credit policy. In the present model, the deterioration rate of items followed Weibull distribution. Shortages are allowed and are partially backlogged. In this work, a retailer who purchases the items enjoys a fixed credit period offered by his/her supplier and, in turn, also offers a credit period to his/her customers in order to promote the competition. Several numerical examples are provided to illustrate the behaviour of the model and highlight some managerial insights. Journal: Int. J. of Logistics Systems and Management Pages: 503-520 Issue: 4 Volume: 30 Year: 2018 Keywords: inventory; Weibull distribution; partial backlogging; trade credit; two-warehouse. File-URL: http://www.inderscience.com/link.php?id=93582 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:503-520 Template-Type: ReDIF-Article 1.0 Author-Name: Marek Michalski Author-X-Name-First: Marek Author-X-Name-Last: Michalski Author-Name: Jose Luis Montes Botella Author-X-Name-First: Jose Luis Montes Author-X-Name-Last: Botella Author-Name: Adam Figiel Author-X-Name-First: Adam Author-X-Name-Last: Figiel Title: Corporate social responsibility in supply chain management: a new model approach Abstract: Corporate social responsibility (CSR) remains a widely acknowledged business philosophy. However, there are situations when socially responsible activities are incorporated without due attention to the consequences for business operations. It is important to pursue alternatives, such as outsourcing, in the process of deciding how to manage CSR and assessing the impact on supply chain management (SCM). We studied the implications of incorporating non-governmental organisations (NGOs) in SCM to achieve CSR goals. A market survey was conducted in Poland among 100 medium-sized and large local and international enterprises. The model developed to test the research questions was specified and estimated using structural equation modelling (SEM). Our research suggests that a CSR framework should be integrated into the company's core business operations as a full member of its SC. NGOs operating within SCs, owing to their experience and knowledge of market 'games', could help identify opportunities for business development. Journal: Int. J. of Logistics Systems and Management Pages: 477-502 Issue: 4 Volume: 30 Year: 2018 Keywords: corporate social responsibility; CSR; supply chain management; SCM; non-governmental organisations; NGOs. File-URL: http://www.inderscience.com/link.php?id=93584 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:477-502 Template-Type: ReDIF-Article 1.0 Author-Name: Pradeep Kumar Author-X-Name-First: Pradeep Author-X-Name-Last: Kumar Author-Name: Abid Haleem Author-X-Name-First: Abid Author-X-Name-Last: Haleem Author-Name: Furqan Qamar Author-X-Name-First: Furqan Author-X-Name-Last: Qamar Author-Name: Urfi Khan Author-X-Name-First: Urfi Author-X-Name-Last: Khan Title: Analysis of maiden modal shift in coal transportation supply chain using SAP-LAP technique Abstract: This paper presents a case study in a SAP-LAP format in respect of a maiden modal shift logistic project in India. The purpose of this paper is to show how a modal shift from railways to inland water transportation led to improvement in supply chain qualitatively and quantitatively (cost wise). SAP-LAP framework has been applied and major actors instrumental in the modal shift are briefly taken up. It is a real-life project initiated and piloted by the Government of India through Inland Waterways Authority of India (IWAI). This paper helps to understand the project for implementing IWT by modelling its enablers using interpretive structural modelling (ISM) technique and analysing various issues using SAP-LAP framework in order to improve the economics of supply chain. Structured modelling has helped in understanding the critical enablers. Based upon the inputs from experts, major actors suggested a different set of incentives. A concessional user charge for the use of fairway and cargo assurances as opposed to cash subsidy approach was the game changer. It provides a good model for the improvement of economics of supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 458-476 Issue: 4 Volume: 30 Year: 2018 Keywords: case study; Inland Waterways Authority of India; IWAI; inland water transport; IWT; SAP-LAP; modal shift logistic project of India; multimodal transport; interpretive structural modelling; ISM. File-URL: http://www.inderscience.com/link.php?id=93585 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:458-476 Template-Type: ReDIF-Article 1.0 Author-Name: Kamal Kumar Mittal Author-X-Name-First: Kamal Kumar Author-X-Name-Last: Mittal Author-Name: Pramod Kumar Jain Author-X-Name-First: Pramod Kumar Author-X-Name-Last: Jain Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: Optimal selection of modular products in reconfigurable manufacturing systems using analytic hierarchy process Abstract: Reconfigurable manufacturing systems (RMS) are considered as a major resource of providing variable production capacities and capabilities by different manufacturing companies. To fulfil the market requirement variety of a modular product, manufactured in a reconfigurable manufacturing system, a methodology for optimal selection of modular products in reconfigurable manufacturing systems using analytic hierarchy process (AHP) is proposed. The analytic hierarchy process is a theory of measurement through pair-wise comparisons and relies on the decisions of experts to obtain priority scales. The comparisons are made using a scale of absolute judgments that shows how much better one component is than another with respect to a given attribute. AHP is also helpful in taking decision when both qualitative and quantitative attributes are in a system. A case study is given to understand the applicability of the proposed methodology on a given system. Journal: Int. J. of Logistics Systems and Management Pages: 521-537 Issue: 4 Volume: 30 Year: 2018 Keywords: reconfigurable manufacturing system; RMS; analytic hierarchy process; AHP; reliability; modular products; modularity; reconfigurable machine tool; RMT. File-URL: http://www.inderscience.com/link.php?id=93586 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:521-537 Template-Type: ReDIF-Article 1.0 Author-Name: S.K. Indrajitsingha Author-X-Name-First: S.K. Author-X-Name-Last: Indrajitsingha Author-Name: P.N. Samanta Author-X-Name-First: P.N. Author-X-Name-Last: Samanta Author-Name: U.K. Misra Author-X-Name-First: U.K. Author-X-Name-Last: Misra Title: A fuzzy inventory model for deteriorating items with stock dependent demand rate Abstract: The present paper proposes a fuzzy economic order quantity (EOQ) model for deteriorating items with stock dependent demand rate where shortages are not allowed. The cycle time is divided into two parts. The first interval demand is considered as stock dependent and the second part is assumed to be constant. We first develop a crisp model. Since most of the parameters of the inventory model are uncertain, we consider the demand, holding cost, deterioration cost and deterioration rate as triangular fuzzy numbers. Graded mean representation, signed distance method and centroid method are used to defuzzify the total cost function. The results obtained by these methods are compared with the help of a numerical example. Sensitivity analysis is also carried out to explore the effect of changes in the values of the system parameters. Journal: Int. J. of Logistics Systems and Management Pages: 538-555 Issue: 4 Volume: 30 Year: 2018 Keywords: inventory model; triangular fuzzy number; graded mean representation method; signed distance method; centroid method; defuzzification. File-URL: http://www.inderscience.com/link.php?id=93588 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:538-555 Template-Type: ReDIF-Article 1.0 Author-Name: Çağlar Tabak Author-X-Name-First: Çağlar Author-X-Name-Last: Tabak Author-Name: Kürşat Yildiz Author-X-Name-First: Kürşat Author-X-Name-Last: Yildiz Title: Turkey's logistics impact compared to the Netherlands, Germany and Belgium Abstract: Developed countries around the world give great importance to the logistics sector. Most of the countries have completed the transformation from the transportation to the logistic sector. Therefore, in order to achieve an idea about countries' logistics infrastructures, the World Bank has started publishing the Logistics Performance Index every two years since 2007. The most current publication was distributed in 2016. In addition to providing information regarding the logistics sector of the countries, this index also provides investment information and opportunities of the countries. When determining the country's ranking, the index considers six key criteria (customs, follow-up and monitoring, logistic competition, timing, infrastructure and logistic competition). In the study, first of all, Spearman's rank correlation method was used to determine which of the six main criteria published by World Bank is the most influential. Later on in this paper, the ports considered as Turkey's logistics areas were compared to the logistics system of the Netherlands, Belgium, and Germany where they conducted on-site surveys. Countries selected for comparison have the best logistics areas in the Europe and are among the first countries in the Logistics Performance Index published in 2014. The existing Turkish ports have been compared with these countries and efforts have been made to identify the gaps of Turkey in the logistics sector and suggestions and recommendations have been made. Journal: Int. J. of Logistics Systems and Management Pages: 1-19 Issue: 1 Volume: 31 Year: 2018 Keywords: logistics; spearman rank correlation test; logistics performance index; communication; cost of logistics; combined transport; logistics legislation; Turkey. File-URL: http://www.inderscience.com/link.php?id=94187 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:1-19 Template-Type: ReDIF-Article 1.0 Author-Name: Himanshu Prajapati Author-X-Name-First: Himanshu Author-X-Name-Last: Prajapati Author-Name: Ravi Kant Author-X-Name-First: Ravi Author-X-Name-Last: Kant Author-Name: Shrikant Gorane Author-X-Name-First: Shrikant Author-X-Name-Last: Gorane Title: Impact study of supply chain practices on organisational performance for Indian chemical industries Abstract: Supply chain practices (SCPs) are no longer merely an option but rather an essential requirement for almost every organisation if they have to compete successfully. The research aims to gain an insight into the SCPs being practiced and to find the practices which are essential to withstand the pressure of the competitive environment for a chemical industry. This research focused on finding different SCPs being practiced in context to Indian industries. The different SCPs are being found by the extensive literature review. The framework was developed and relationship amongst these SCPs and organisational performance measures, namely, operational performance, customer satisfaction and financial performance are established for the Indian chemical industries. The developed framework was then tested empirically using data collected from respondents to a survey questionnaire. Structural equation modelling (SEM) was used to test the hypothesised relationships. The finding suggests that a successful SCPs implementation not only improves the operational performance, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction. Journal: Int. J. of Logistics Systems and Management Pages: 20-38 Issue: 1 Volume: 31 Year: 2018 Keywords: supply chain management; SCM; supply chain practices; SCPs; framework; structural equation modelling; India. File-URL: http://www.inderscience.com/link.php?id=94188 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:20-38 Template-Type: ReDIF-Article 1.0 Author-Name: Andreia P.M. Rodrigues Author-X-Name-First: Andreia P.M. Author-X-Name-Last: Rodrigues Author-Name: Carina M.O. Pimentel Author-X-Name-First: Carina M.O. Author-X-Name-Last: Pimentel Author-Name: João C.O. Matias Author-X-Name-First: João C.O. Author-X-Name-Last: Matias Title: Third-party logistics continuous improvement through integrated fleet management: the case of a transport company Abstract: In the transport sector, there is a gap that arises in managing fleets with vehicles of different brands, making it ineffective to choose the use of telematics system that each brand offers. This article presents a solution based on a system that uses a single service which is aggregating all fleet of vehicles, irrespective of brand, and allowing their control any time. Thus, it results in improved efficiency on the routes based on a greater consistency of data as similar driving data are obtained for all vehicles. This article uses a case study that shows possibility to reduce travelling costs, allowing the generation of the not greater quality services and hence improving customer satisfaction. Journal: Int. J. of Logistics Systems and Management Pages: 39-68 Issue: 1 Volume: 31 Year: 2018 Keywords: fleet management; continuous improvement; telematics; route planning; road freight transportation; integrated fleet management system; freight intelligent transportation systems; ITS. File-URL: http://www.inderscience.com/link.php?id=94190 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:39-68 Template-Type: ReDIF-Article 1.0 Author-Name: Arash Apornak Author-X-Name-First: Arash Author-X-Name-Last: Apornak Title: The impact of pricing, lead time and capacity policies in a two-echelon supply chain Abstract: Lead-time, price and capacity are common strategies used in supply chains facing uncertain or variable demand. Each provides a mechanism to absorb the uncertainty. In some supply chains, products must be produced before demand is realised. This typically is caused in situations where production takes a long time and the selling period is short, fashion goods for instance. In this paper we assume a two-echelon supply chain consisting of a supplier and a retailer facing price and lead time sensitive demand. The decision process is modelled by Nash equilibrium and Stackelberg game. The equilibrium strategy of these two players is obtained by investigating the impact of variable decisions on the players' profit then compares the performance of the corresponding chain and capacity decision according to historical data as a benchmark. The results illustrated that the profit of supplier and retailer is more Nash equilibrium compared with Stackelberg game. Journal: Int. J. of Logistics Systems and Management Pages: 69-81 Issue: 1 Volume: 31 Year: 2018 Keywords: pricing; lead time; capacity; Stackelberg game; Nash equilibrium; two echelon supply chain. File-URL: http://www.inderscience.com/link.php?id=94191 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:69-81 Template-Type: ReDIF-Article 1.0 Author-Name: Kellen Dayelle Endler Author-X-Name-First: Kellen Dayelle Author-X-Name-Last: Endler Author-Name: Cassius Tadeu Scarpin Author-X-Name-First: Cassius Tadeu Author-X-Name-Last: Scarpin Author-Name: Maria Teresinha Arns Steiner Author-X-Name-First: Maria Teresinha Arns Author-X-Name-Last: Steiner Title: A bibliometric analysis of scientific production in lean supply Abstract: A lean supply chain arrangement should provide flow of goods, services and technology from the supplier of raw materials to the customer without waste. Lean supply is an increasingly visible area not only at the theoretical level, but also in terms of practical application in companies offering products or services. Thus, scientific progress in this field of study is fundamentally derived from the knowledge available about it, which is the result of investigations and interactions by researchers over time. The main objective of this study, therefore, is to conduct a quantitative analysis of scientific production on lean supply between 1992 and 2016. The work was carried out with a methodical review of the literature, relying on bibliometric techniques, by consulting the databases ISI Web of Knowledge and Scopus, and their treatment by Bibexcel and Pajek softwares. For the research, the term 'lean supply' was used as a key expression, generating a sample of 211 published articles. Descriptive statistical results were presented, identifying the authors, articles and journals most frequently referenced by scholars worldwide. At the end of the study, recent papers of the sample were classified and analysed based on research methods and industry sectors. Journal: Int. J. of Logistics Systems and Management Pages: 82-108 Issue: 1 Volume: 31 Year: 2018 Keywords: lean supply; lean; supply chain management; SCM; bibliometric analysis. File-URL: http://www.inderscience.com/link.php?id=94192 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:82-108 Template-Type: ReDIF-Article 1.0 Author-Name: Mariana Guersola Author-X-Name-First: Mariana Author-X-Name-Last: Guersola Author-Name: Edson Pinheiro De Lima Author-X-Name-First: Edson Pinheiro De Author-X-Name-Last: Lima Author-Name: Maria Teresinha Arns Steiner Author-X-Name-First: Maria Teresinha Arns Author-X-Name-Last: Steiner Title: Supply chain performance measurement: a systematic literature review Abstract: Through a structured overview of the literature, this paper provides an update and maps the current state of research involving the supply chain performance measurement and management. The results can be used as guidance for future studies. The main research limitations are related to the selected scientific databases, document types and search terms, which can exclude papers that could be pertinent. The findings show that the field of research is still very immature. The reviewed publications are from journals from various areas and researchers from several countries, which shows the breadth of interest in the topic and its importance. Many papers conducted studies to identify the issues involved in supply chain performance measurement and management, and to propose frameworks to solve them, but few studies have been made about effective applications of these proposals. Content analysis covers the most addressed approaches used for the performance measurement and management. Journal: Int. J. of Logistics Systems and Management Pages: 109-131 Issue: 1 Volume: 31 Year: 2018 Keywords: performance measurement; performance management; supply chain; supply chain management; systematic literature review; fuzzy logic; supply chain operations reference; SCOR; balanced scorecard; BSC; analytic hierarchy process; AHP; data envelopment analysis; DEA. File-URL: http://www.inderscience.com/link.php?id=94193 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:109-131 Template-Type: ReDIF-Article 1.0 Author-Name: Rajnish Kumar Author-X-Name-First: Rajnish Author-X-Name-Last: Kumar Author-Name: Sidhartha S. Padhi Author-X-Name-First: Sidhartha S. Author-X-Name-Last: Padhi Author-Name: Ashutosh Sarkar Author-X-Name-First: Ashutosh Author-X-Name-Last: Sarkar Title: Optimal number of suppliers to mitigate supply disruption: a case of Indian locomotive manufacturer Abstract: Dependencies over supplier for efficient functioning of firms are evident in academic literature as well as in practice. However, disruption in supplies can hinder the entire manufacturing process. This article applies a mathematical model through modifying the work of Berger et al. (2004) to determine the optimal number of suppliers required under supply disruptions and also used quantity discounts offered by suppliers on volume purchases. The model is demonstrated by means of an Indian locomotive manufacturer as a case study. We consider supply disruptions due to the probability of occurrence of super, semi-super, and unique events in the supply chain. Furthermore, the analysis has been extended to study the semi-super events, in which only a particular region of supplier is affected. Results have shown that the optimal number of suppliers is three for low cost items and two for the costlier ones. This article will be helpful for efficient managerial decision making for materials management and purchasing practitioners, besides academicians for better understanding of such concerns. Journal: Int. J. of Logistics Systems and Management Pages: 132-149 Issue: 1 Volume: 31 Year: 2018 Keywords: original equipment manufacturer; OEM; mathematical modelling; optimal number of suppliers; sensitivity analysis; Indian locomotive. File-URL: http://www.inderscience.com/link.php?id=94194 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:1:p:132-149 Template-Type: ReDIF-Article 1.0 Author-Name: Renata V. Klafke Author-X-Name-First: Renata V. Author-X-Name-Last: Klafke Author-Name: Claudia Tania Picinin Author-X-Name-First: Claudia Tania Author-X-Name-Last: Picinin Author-Name: Caroline Lievore Author-X-Name-First: Caroline Author-X-Name-Last: Lievore Author-Name: Luiz Alberto Pilatti Author-X-Name-First: Luiz Alberto Author-X-Name-Last: Pilatti Title: The Brazilian recent infrastructure policies Abstract: Investments in infrastructure provide an increase in the market value of the poor population's assets when their residence is served by sewage, water and telephone networks. They also allow each region to specialise in the economic activities for which they have the greatest vocation (agriculture, services, etc.), creating productivity gains and quality for the economy. In this sense, this short paper aims, through bibliographic research on SCOPUS database and on federal agencies websites, to highlight the main modes of transportation in Brazil and evaluate the amount of investment done in infrastructure in recent years in Brazil. Journal: Int. J. of Logistics Systems and Management Pages: 167-177 Issue: 2 Volume: 31 Year: 2018 Keywords: infrastructure; transportation; investments; Brazil. File-URL: http://www.inderscience.com/link.php?id=94932 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:167-177 Template-Type: ReDIF-Article 1.0 Author-Name: Marziyeh Karimi Author-X-Name-First: Marziyeh Author-X-Name-Last: Karimi Author-Name: Seyed Hamid Reza Pasandideh Author-X-Name-First: Seyed Hamid Reza Author-X-Name-Last: Pasandideh Title: Modelling and solving a novel gardener problem under an emergency order and stochastic storage space Abstract: The objective of this research is to determine the optimum order quantity such that the expected total profit will be maximised while some constraints such as the service level and stochastic storage space will be satisfied in the gardener problem. The main contribution is to utilise the emergency order in case of shortage, in order to achieve more profits where the demand is more than the on hand inventory. In this case, the vendor should pay the cost of customer waiting time to receive the required products either purchasing the products or losing the sale condition. As the proposed problem is NP-hard, using meta-heuristic method is our methodology for solving. Two meta-heuristic algorithms, namely differential evolution and invasive weed optimisation, are utilised to solve the problem in which their parameters are tuned. Finally, some numerical experiments and statistical comparisons are performed to evaluate the applicability of both proposed model and the algorithms. The computational results show that the proposed differential evolution has a desirable performance in favour of the expected total profits. Journal: Int. J. of Logistics Systems and Management Pages: 178-206 Issue: 2 Volume: 31 Year: 2018 Keywords: gardener problem; emergency order; invasive weed optimisation; differential evolution. File-URL: http://www.inderscience.com/link.php?id=94933 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:178-206 Template-Type: ReDIF-Article 1.0 Author-Name: Bijoy Krishna Debnath Author-X-Name-First: Bijoy Krishna Author-X-Name-Last: Debnath Author-Name: Pinki Majumder Author-X-Name-First: Pinki Author-X-Name-Last: Majumder Author-Name: Uttam Kumar Bera Author-X-Name-First: Uttam Kumar Author-X-Name-Last: Bera Title: Two warehouse inventory models of breakable items with stock dependent demand under trade credit policy with respect to both supplier and retailer Abstract: For the first time, this study deals with a nonlinear form of breakability in two-warehouse inventory control for stock dependent demand. Moreover, this paper relates to two warehouse inventory policies with continuous release patterns along with two-level credit periods with respect to both supplier and retailer. Since per unit selling price is greater than that of purchasing cost, a new approach is introduced for payment to the wholesaler for the amount remaining after the credit period. Here, the retailer earns the required amount before the end of the business period and clears his due as soon as it is available. The sales and interest for the remaining period are deposited for maximising profit and consequently minimising the total inventory cost. Here, the decision variables are business periods for rented and market warehouse. The model has been developed as a cost minimisation problem with respect to the retailer and wholesaler and optimised using the nonlinear optimisation technique - generalised reduced gradient method (LINGO 13.0). The optimal solution has been exemplified numerically and graphically in this study of approach. Journal: Int. J. of Logistics Systems and Management Pages: 151-166 Issue: 2 Volume: 31 Year: 2018 Keywords: EPQ model; two-warehouse; trade credit; continuous release pattern; alternative approach of payment; nonlinear breakability. File-URL: http://www.inderscience.com/link.php?id=94934 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:151-166 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Mohtashami Author-X-Name-First: Ali Author-X-Name-Last: Mohtashami Author-Name: Alireza Alinezhad Author-X-Name-First: Alireza Author-X-Name-Last: Alinezhad Title: Designing a green supply chain network using LCA method: a robust optimisation approach Abstract: In this paper, designing of a supply chain regarding environmental consideration is addressed. For this purpose, a mixed integer linear programming model is proposed which integrates decisions about environmental investment and selection of active facilities in the network of the supply chain. In the proposed model, the emission of the environmental pollutants is considered through all stages of the supply chain for calculating the environmental effects of products according to the life cycle assessment (LCA) method. For each product, some limitations are considered that affect supply chain decisions. Such limitations may be imposed by environmental protection agencies or regional scheme. Also, due to uncertainty in some parameters of the proposed model, a robust optimisation approach is applied which makes the obtained solution robust and feasible with predetermined level of confidence against variability in uncertain parameters. The computational results illustrate the high performance of the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 207-223 Issue: 2 Volume: 31 Year: 2018 Keywords: green supply chain; GSC; environmental investment; life cycle assessment; LCA; robust optimisation. File-URL: http://www.inderscience.com/link.php?id=94935 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:207-223 Template-Type: ReDIF-Article 1.0 Author-Name: Sricharan Chirra Author-X-Name-First: Sricharan Author-X-Name-Last: Chirra Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: Analysis of supply chain issues under sales promotional schemes using FAHP Abstract: Sales promotional schemes (SPS) are sets of marketing activities that have an enormous impact on sales but expose the supply chain to the risk of demand uncertainty. This work prioritises and develops a hierarchical model of important supply chain issues to enhance the companies' competitive position under sales promotional schemes. Automobile industries being in an emerging competitive situation in India are chosen for this study. Using few statistical tools viz. CV-Index, Cronbach's alpha and Kappa statistics along with experts' opinion, the key issues/factors have been identified and grouped into a structured model considering supply chain - collaboration, efficiency, flexibility, and promotion. Supply chain issues are prioritised using fuzzy analytical hierarchy process (FAHP) and the Liberatore score (LS) method is used for performance evaluation of considered company. From the analysis, it is observed that 'flexibility' and 'collaboration' parameters are more prominent than others to deal with demand uncertainty. Journal: Int. J. of Logistics Systems and Management Pages: 224-248 Issue: 2 Volume: 31 Year: 2018 Keywords: supply chain management; sales promotional schemes; SPS; performance analysis; analytical hierarchy process; AHP; fuzzy data analysis. File-URL: http://www.inderscience.com/link.php?id=94936 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:224-248 Template-Type: ReDIF-Article 1.0 Author-Name: R. Sathish Kumar Author-X-Name-First: R. Sathish Author-X-Name-Last: Kumar Author-Name: C. Rani Author-X-Name-First: C. Author-X-Name-Last: Rani Author-Name: P. Ganesh Kumar Author-X-Name-First: P. Ganesh Author-X-Name-Last: Kumar Title: Design of smart logistics transportation system using MapReduce intelligent water drops algorithm in Hadoop environment Abstract: Designing a smart system for delivering goods to various fair price shops effectively is one of the major goals in the mission of smart city development. In this paper, the smart city environment is treated as a distributed environment for carrying goods across different parts of the city. Hence, the widely used intelligent water drops algorithm is implemented as MapReduce model using Hadoop environment to compute the shortest path for speedy delivery of goods. A front end is designed to carry out interstate and intrastate transportation of items. Distance matrix comprising 50, 100, 150….500 cities is considered for the simulation. From the experiment, it is observed that the intelligent water drops algorithm implemented in MapReduce model meets the objective of delivering materials to the right destination in minimum time. The performance of the proposed MapReduce intelligent water drops algorithm is compared with other popular algorithms like Bellman-Ford algorithm, Thorup algorithm, Gobow algorithm, and Dijkstra's algorithm. It is observed that the proposed MapReduce intelligent water drops algorithm gives a reliable shortest path between any source and destination city with less CPU time than the other algorithms. Journal: Int. J. of Logistics Systems and Management Pages: 249-266 Issue: 2 Volume: 31 Year: 2018 Keywords: smart city; transportation system; intelligent water drops algorithm; MapReduce; Hadoop environment. File-URL: http://www.inderscience.com/link.php?id=94937 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:249-266 Template-Type: ReDIF-Article 1.0 Author-Name: Ivan Ferretti Author-X-Name-First: Ivan Author-X-Name-Last: Ferretti Author-Name: Laura Mazzoldi Author-X-Name-First: Laura Author-X-Name-Last: Mazzoldi Author-Name: Simone Zanoni Author-X-Name-First: Simone Author-X-Name-Last: Zanoni Title: Environmental impacts of cold chain distribution operations: a novel portable refrigerated unit Abstract: This paper presents a model for the evaluation of the environmental impacts associated with the management of cold supply chain, considering transport and storage activities. A novel portable refrigerated unit (PRU) for the management of goods along the cold chain is presented, and its performances, in terms of emissions at different distribution stages, are compared to those of traditional cold chain equipment. A mathematical model based on costs and environmental impacts has been developed. Moreover, a case study is presented so as to show the usefulness of the model proposed. Numerical analyses are provided in order to demonstrate the efficiency of the new equipment, compared to the traditional refrigeration technology involved in distribution chains. Environmental benefits and efficiency of the new equipment are considered, as well as energy consumption reduction. The proposed system may help companies to pursue more sustainable practices in their cold chain activities. Journal: Int. J. of Logistics Systems and Management Pages: 267-297 Issue: 2 Volume: 31 Year: 2018 Keywords: cold chain; refrigerated equipment; environmental impact. File-URL: http://www.inderscience.com/link.php?id=94938 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:2:p:267-297 Template-Type: ReDIF-Article 1.0 Author-Name: R. Sendhil Kumar Author-X-Name-First: R. Sendhil Author-X-Name-Last: Kumar Author-Name: S. Pugazhendhi Author-X-Name-First: S. Author-X-Name-Last: Pugazhendhi Author-Name: C. Muralidharan Author-X-Name-First: C. Author-X-Name-Last: Muralidharan Author-Name: S. Murali Author-X-Name-First: S. Author-X-Name-Last: Murali Title: An empirical study on effect of information sharing on supply chain performance - the case of Indian automotive industry Abstract: Sharing information is regarded as one of the most effective ways of improving supply chain (SC) performance. The present study aims to understand and determine factors related to information sharing that would be able to enhance the SC performance with specific focus on Indian automotive industries. Data collected from the middle, senior and top level management executives of automotive industries in India is used to test the relationships between the constructs in the model through the application of multiple regression analysis. The results supported the proposed multiple linear regression model development. The results of the analysis indicate that all the factors that are considered to have a direct and significant influence on SC performance. The study is further extended to examine whether there is any significant difference, among the four levels of organisations such as OEM, TIER1, TIER2 and TIER3 with respect to the dimensions of information sharing that influences the performance of SC. The findings can help the firms to identify the areas that need attention to achieve better SC performance. Journal: Int. J. of Logistics Systems and Management Pages: 299-319 Issue: 3 Volume: 31 Year: 2018 Keywords: information sharing; supply chain performance; management support; employee support; SC members support; multiple regression. File-URL: http://www.inderscience.com/link.php?id=95821 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:299-319 Template-Type: ReDIF-Article 1.0 Author-Name: Pouya Ehsani Tabari Author-X-Name-First: Pouya Ehsani Author-X-Name-Last: Tabari Author-Name: Babak Shirazi Author-X-Name-First: Babak Author-X-Name-Last: Shirazi Author-Name: Iraj Mahdavi Author-X-Name-First: Iraj Author-X-Name-Last: Mahdavi Title: A new model for multi-period bi-objective inventory routing problem with stochastic demand, inventory holding, shortage and customer satisfaction Abstract: This paper presents a new multi-period, bi-objective inventory routing problem model with stochastic demand in two echelon network supply chain including some suppliers with several vehicles to satisfy customers' demands. Reducing the number of vehicles is also considered when each vehicle belongs to one route. The difference between this paper and the others is that the shortages and inventory holdings are kept at the customers' parts not in distribution centres. Customers' review of records costs and customer satisfaction and its relationship with shortage and inventory holding are the objective functions. The customer satisfaction increased by decreasing inventory holdings and shortage amount. The goal is to determine the delivery quantities to customers taking account of shortage and inventory holding amount per period. The objective of this paper is to minimise transportation routing costs, customers' review of records costs, inventory holding costs and shortage costs, and maximise customer satisfaction. The presented model is analysed by ε-constraint method and run in GAMS software. Journal: Int. J. of Logistics Systems and Management Pages: 320-335 Issue: 3 Volume: 31 Year: 2018 Keywords: inventory routing; stochastic demand; customer satisfaction; customer review of records costs. File-URL: http://www.inderscience.com/link.php?id=95822 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:320-335 Template-Type: ReDIF-Article 1.0 Author-Name: S. Amaladhasan Author-X-Name-First: S. Author-X-Name-Last: Amaladhasan Author-Name: P. Parthiban Author-X-Name-First: P. Author-X-Name-Last: Parthiban Author-Name: R. Dhanalakshmi Author-X-Name-First: R. Author-X-Name-Last: Dhanalakshmi Title: Analysis and prioritisation of eco drivers in supply chain Abstract: Green supply chain management (GSCM) is a powerful tool to differentiate one company from the others and it can greatly influence the success of any plant. This paper aims to identify the management, technological, organisational, external and stakeholder's cooperation. These factors influence the adoption of eco-design and integrate into the green supply chain management. The drivers and sub-factors are ranked using fuzzy quality function deployment (FQFD), rough quality function deployment (RQFD) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). In the proposed model, 15 fundamental requirements of the customers are identified and 15 main factors of eco-design are derived to satisfy the overall requirements. Fuzzy TOPSIS selects the alternative that is closest to the positive ideal solution and farthest from negative ideal solution. Journal: Int. J. of Logistics Systems and Management Pages: 336-362 Issue: 3 Volume: 31 Year: 2018 Keywords: green supply chain management; GSCM; eco design; fuzzy QFD; rough QFD; fuzzy TOPSIS. File-URL: http://www.inderscience.com/link.php?id=95823 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:336-362 Template-Type: ReDIF-Article 1.0 Author-Name: Manoj Kumar Author-X-Name-First: Manoj Author-X-Name-Last: Kumar Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: Green logistics decision support system for blood distribution in time window Abstract: During previous years, the role of green logistics in the distribution management has seen a tremendous increase due to increased focus on environmental protection, consumer environmental concern, green legislation and sustainability. This has led to an increase in recycling, reuse and emission control to reduce economic and environmental costs. In this research, a genetic algorithm-based decision support system for the route generation and comparison of the routes based on various economic and environmental cost factors. A mixed integer linear programming formulation of four vehicle routing problems with simultaneous delivery and pickup (full and partial) and time window (hard and soft) is provided and solved by genetic algorithm. The real-life data of blood distribution is used for comparing VRPSDPTW variants on the basis of their economic and environmental value. The computational results indicate that total cost is lower in the case of a full pickup with the soft time windows. The logistic organisations can use the proposed system in decision making to select an appropriate transportation scheme with lower economic and environmental costs. Journal: Int. J. of Logistics Systems and Management Pages: 420-447 Issue: 3 Volume: 31 Year: 2018 Keywords: green logistics; blood supply chain; genetic algorithm; vehicle routing; environmental cost. File-URL: http://www.inderscience.com/link.php?id=95824 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:420-447 Template-Type: ReDIF-Article 1.0 Author-Name: Lalith Edirisinghe Author-X-Name-First: Lalith Author-X-Name-Last: Edirisinghe Author-Name: Zhihong Jin Author-X-Name-First: Zhihong Author-X-Name-Last: Jin Author-Name: A.W. Wijeratne Author-X-Name-First: A.W. Author-X-Name-Last: Wijeratne Title: Container inventory management: introducing the 3F model Abstract: Container inventory imbalances (CII) can primarily be attributed to global trade imbalances that cause a substantial indirect cost in shipping. Therefore, it is imperative that carriers adopt highly efficient and effective container inventory management (CIM) systems to overcome the CII issues. This research intends to develop realistic guidelines for CIM that minimise CII costs. The components of the 3F model are chosen based on the rating scores given by the experts for 22 common CIM strategies followed by a standard filtration process. It ultimately comprises six strategies, namely: reduce import freight; reduce export freight; service agreements; synchronised budget; agile inventory; and export priority. These variables are rooted in three dimensions namely: freight, forecasting and flexibility. To identify the relative contribution by each component, this paper proposes a double weight allocation procedure for each strategy. The 3F model helps managers to think beyond traditional container reposition and increased profits. Journal: Int. J. of Logistics Systems and Management Pages: 363-386 Issue: 3 Volume: 31 Year: 2018 Keywords: container inventory management; CIM; imbalance; freight; forecasting; flexibility; strategy; CIM mix. File-URL: http://www.inderscience.com/link.php?id=95825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:363-386 Template-Type: ReDIF-Article 1.0 Author-Name: Felistas Ranganai Zimano Author-X-Name-First: Felistas Ranganai Author-X-Name-Last: Zimano Author-Name: Fayth Ruffin Author-X-Name-First: Fayth Author-X-Name-Last: Ruffin Title: Simultaneous development of border points as trade facilitation: advocacy to aid supply chain of goods through the case of SADC road entry points Abstract: This article situates the Southern African Development Community (SADC) Road Entry Point Management Systems (REPMS) within international supply chain logistics. It exposes the influence of REPMS on the link between movement of goods and optimum supply chain performance. A novel transdisciplinary theoretical framework drawn from supply chain and international relations theories is applied to survey data from respondents at border points that link Zimbabwe to Botswana, Mozambique, South Africa and Zambia. The 345 respondents are international truck drivers and small and medium entrepreneurs. The authors argue that simultaneity of transformation of two-stop border posts to one-stop border posts is required in a logistical corridor. Findings show that failure to do so disrupts supply chain logistics, impedes international trade and hinders regional integration. Conclusions reveal that, inter alia, SADC REPMS are out of sync with non-state actors and international trade facilitation. Recommendations include cultivation of public-private partnerships for REPMS transformation. Journal: Int. J. of Logistics Systems and Management Pages: 402-419 Issue: 3 Volume: 31 Year: 2018 Keywords: supply chain; sustainable supply chain management; SSCM regional integration; reflectivist new regionalism; RNR; Southern African Development Community; SADC; international trade; transactional costs; trade facilitation; border infrastructure. File-URL: http://www.inderscience.com/link.php?id=95826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:402-419 Template-Type: ReDIF-Article 1.0 Author-Name: Dinesh S. Davé Author-X-Name-First: Dinesh S. Author-X-Name-Last: Davé Author-Name: Michael J. Dotson Author-X-Name-First: Michael J. Author-X-Name-Last: Dotson Author-Name: James E. Stoddard Author-X-Name-First: James E. Author-X-Name-Last: Stoddard Title: Consumer awareness of supply chain flows in relation to consumer perceptions of value-added by supply chain management Abstract: The objective of this study was to examine the perceptions of consumers regarding their awareness of supply chain management flows and the benefits that these flows convey to them. A further objective was to test the conjecture that consumers could be grouped into supply chain benefit segments. An electronic survey (Qualtrics) was administered to consumers in the USA to test the propositions. Hierarchical cluster analysis revealed three important benefits sought by consumers (variety and assortment, quality/price and reasonable price segments). An analysis of variance suggested that the three consumer supply chain benefit clusters explained differences in consumer awareness of supply chain flows. Consumers in the variety and assortment segment had a higher awareness of financial flows, material flows and information flows as a result of their shopping behaviour. The conjecture that the variety and assortment segment had higher awareness of supply chain flows due to their higher online shopping frequency was supported. Journal: Int. J. of Logistics Systems and Management Pages: 387-401 Issue: 3 Volume: 31 Year: 2018 Keywords: consumer awareness of supply chain flow; material flow in supply chain; information flow in supply chain; financial flow in supply chain; consumer perception of value-added supply chain. File-URL: http://www.inderscience.com/link.php?id=95827 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:387-401 Template-Type: ReDIF-Article 1.0 Author-Name: Dheeraj Chandra Author-X-Name-First: Dheeraj Author-X-Name-Last: Chandra Author-Name: Dinesh Kumar Author-X-Name-First: Dinesh Author-X-Name-Last: Kumar Title: Analysis of vaccine supply chain issues using ISM approach Abstract: In the present study, an effort has been made to identify issues in the supply of basic vaccines required to immunise each child based upon the field survey of Uttarakhand State, India. The Delphi method that uses expert's opinion in decision-making has been employed for selection of 25 key issues as factors of vaccine supply chain. Using interpretive structural modelling (ISM) approach, a hierarchical structure has been developed to show interrelationships among various factors. Then, MICMAC analysis has been performed to classify the factors based on their driving and dependence power. From the ISM model and the MICMAC analysis and from further discussions with the experts, it has been found that the factors 'demand forecast', 'communication between the supply chain members' and 'proper planning and scheduling' are three most critical factors of vaccine supply chain. The study will provide a direction to the policymakers for implementing the state immunisation plan. Journal: Int. J. of Logistics Systems and Management Pages: 449-482 Issue: 4 Volume: 31 Year: 2018 Keywords: vaccine supply chain; issues; factors; immunisation; Delphi; interpretive structural modelling; ISM; MICMAC. File-URL: http://www.inderscience.com/link.php?id=96084 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:4:p:449-482 Template-Type: ReDIF-Article 1.0 Author-Name: V. Sreekumar Author-X-Name-First: V. Author-X-Name-Last: Sreekumar Author-Name: M. Rajmohan Author-X-Name-First: M. Author-X-Name-Last: Rajmohan Title: Supply chain sustainability strategy selection using integrated multi-criteria decision-making method Abstract: In recent years, industries have begun taking up proactive leadership and working together with their supply chain partners to implement initiatives for improving the sustainability of the supply chain. Sustainability performance improvements in industries are essential for survival rather than meeting the regulatory and reporting requirements. This paper aims at determining the major sustainability criteria and prioritising the given sustainability strategy sets to achieve the highest sustainability performance. This multi-criteria decision-making (MCDM) problem is solved by the application of the analytic hierarchy process (AHP) and preference ranking organisation method for the enrichment of evaluations (PROMETHEE) techniques in an integrated way. In this study, criteria for comparing the alternatives are identified from literature. The criteria weights are obtained using AHP methodology and are used in the PROMETHEE (I and II) for ranking the strategy sets. The proposed methodology is applied to solve a real-time supply chain decision-making issue of an Indian manufacturing industry. The most sustainable strategy proposal is identified. Sensitivity analysis is carried out on the variations in ranks with respect to the deviation in criteria weights. The minimum deviations in criteria weights that cause rank reversal are also identified from this. It facilitates getting insights into the stability of the ranks to the decision maker. Journal: Int. J. of Logistics Systems and Management Pages: 483-505 Issue: 4 Volume: 31 Year: 2018 Keywords: supply chain; sustainability; strategies; ranking; multi-criteria decision making; MCDM; analytic hierarchy process; AHP; PROMETHEE; integrated approach; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=96085 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:4:p:483-505 Template-Type: ReDIF-Article 1.0 Author-Name: Bruno De Almeida Vilela Author-X-Name-First: Bruno De Almeida Author-X-Name-Last: Vilela Author-Name: Ricardo S. Martins Author-X-Name-First: Ricardo S. Author-X-Name-Last: Martins Author-Name: Janaína Siegler Author-X-Name-First: Janaína Author-X-Name-Last: Siegler Title: Competencies of high-performance logistics professionals in emerging economies Abstract: This study sought to indicate the attributes that reflect the best performance and value of logistics professionals in emerging countries. We used the concept of individual competencies and the business-logistics-management model of skills and knowledge from Murphy and Poist (1991a) as a basis for building the framework. Data collection was conducted via a survey of logistics professionals in Brazil, and data analysis was done using structural equation modelling. Results indicated a positive relationship between education, skills, knowledge in management, logistics, performance, and value of the professional in the organisation. In contrast, the relationships between experience, skills, knowledge in business, performance, and value were not found to be significant per the statistical model. The merit of this research is primarily based on the use of a well-established theoretical concept of competency applied to define in practice which sort of logistics professionals have good performance and value in today's demanding market. Journal: Int. J. of Logistics Systems and Management Pages: 506-530 Issue: 4 Volume: 31 Year: 2018 Keywords: individual competencies; logistics professionals; business-logistics-management model. File-URL: http://www.inderscience.com/link.php?id=96086 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:4:p:506-530 Template-Type: ReDIF-Article 1.0 Author-Name: Thi Huong Tran Author-X-Name-First: Thi Huong Author-X-Name-Last: Tran Author-Name: Mario Dobrovnik Author-X-Name-First: Mario Author-X-Name-Last: Dobrovnik Author-Name: Sebastian Kummer Author-X-Name-First: Sebastian Author-X-Name-Last: Kummer Title: Supply chain risk assessment: a content analysis-based literature review Abstract: In recent years, along with globalisation trend, risk management has been an integral part in supply chain management. In this vein, supply chain risk assessment has become an active and important research subject. There is considerable research and debate on the approach and method of assessing risk in order to obtain a sound base for decision making in supply chain and supply chain risk management. This paper aims to synthesise overall aspects of supply chain risk assessment in the literature. To this end, we have investigated 140 peer-reviewed articles in high quality journals by using a content analysis method and a systematic approach. The heterogeneous definitions, focuses, procedures, methods, and indicators of supply chain risk assessment referred to in previous research are comprehensively analysed and presented in classification frameworks in order to gain insights into this field, explore research gaps, and provide an outlook for future research. Journal: Int. J. of Logistics Systems and Management Pages: 562-591 Issue: 4 Volume: 31 Year: 2018 Keywords: supply chain management; supply chain risk; supply chain disruption; risk assessment; risk analysis; risk indicator; risk scale; systematic review; content analysis. File-URL: http://www.inderscience.com/link.php?id=96088 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:4:p:562-591 Template-Type: ReDIF-Article 1.0 Author-Name: Oulfa Labbi Author-X-Name-First: Oulfa Author-X-Name-Last: Labbi Author-Name: Latifa Ouzizi Author-X-Name-First: Latifa Author-X-Name-Last: Ouzizi Author-Name: Mohammed Douimi Author-X-Name-First: Mohammed Author-X-Name-Last: Douimi Author-Name: Abdeslam Ahmadi Author-X-Name-First: Abdeslam Author-X-Name-Last: Ahmadi Title: Genetic algorithm combined with Taguchi method for optimisation of supply chain configuration considering new product design Abstract: In this paper, we propose a methodology to optimally configure a supply chain when considering a new product design. The supply chain configuration is conducted during the product design phase. In fact, several product design alternatives are possible and the aim is to select the best product design optimising the supply chain and satisfying market place as well. In this design problem, specificities of the new product architecture and logistical constraints of supply chain partners are considered at the same time. This product-supply chain design process simultaneity is modelled using an UML sequence diagram. Supply chain design is achieved by levels corresponding to the product's bill of material. A mathematical model is proposed for optimising costs for each level. Genetic algorithms are used to solve the complexity of the model. Since parameters values of genetic algorithms have a significant impact on their efficiency, we have proposed to combine Taguchi experimental design and genetic algorithm to determine the optimal combination of parameters that optimises the objective function. This method can effectively reduce time spent on parameter design using genetic algorithm and increase also its efficiency. The accuracy of the proposed GA-Taguchi method is validated using CPLEX software to evaluate its performance. Journal: Int. J. of Logistics Systems and Management Pages: 531-561 Issue: 4 Volume: 31 Year: 2018 Keywords: supply chain design; new product design; Unified Modeling Language; UML; mixed integer linear programming; MILP; genetic algorithm; Taguchi experimental design. File-URL: http://www.inderscience.com/link.php?id=96089 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:31:y:2018:i:4:p:531-561