Template-Type: ReDIF-Article 1.0 Author-Name: Ashoke Kumar Bera Author-X-Name-First: Ashoke Kumar Author-X-Name-Last: Bera Author-Name: Dipak Kumar Jana Author-X-Name-First: Dipak Kumar Author-X-Name-Last: Jana Author-Name: Debamalya Banerjee Author-X-Name-First: Debamalya Author-X-Name-Last: Banerjee Author-Name: Titas Nandy Author-X-Name-First: Titas Author-X-Name-Last: Nandy Title: A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method Abstract: Supplier assessment has been a vital issue of strategic importance in a supply chain. It helps to reduce operating cost, improve competitiveness and to develop business opportunities. However, supplier selection is usually a complex and unstructured activity, involves the consideration of various characteristics simultaneously such as large number of alternatives, multiple criteria involved in the evaluation process as well as group of experts with diverse backgrounds. This study intends to propose a framework using interval type-2 fuzzy (IT2F) TOPSIS method for selection of suitable suppliers in an imprecise environment for an Indian spare parts manufacturing company. Seven important criteria are considered for evaluating suppliers. A practical analysis is carried out and the data are collected from a set of five prospective suppliers. The major influencing factors in the case company are found to be price of product, technological capability, relationship closeness, conformance to quality and experience of supplier. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 1-26 Issue: 1 Volume: 12 Year: 2021 Keywords: multiple-criteria decision-making; supplier selection; group decision making; interval type-2 fuzzy sets; interval type-2 fuzzy TOPSIS. File-URL: http://www.inderscience.com/link.php?id=114722 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Ashutosh Sheel Author-X-Name-First: Ashutosh Author-X-Name-Last: Sheel Author-Name: Y.P. Singh Author-X-Name-First: Y.P. Author-X-Name-Last: Singh Author-Name: Vishnu Nath Author-X-Name-First: Vishnu Author-X-Name-Last: Nath Title: Issues of biodiesel supply chain for public sector transportation in India Abstract: The present study aims to enumerate the issues of biodiesel supply chains in India. After an extensive literature review to access the current state of research on biodiesel, primary data was collected from academic experts and industry professionals engaged in biodiesel research and production. Ten issues were identified by the experts and pairwise rating of these issues were also done by the same experts. The issues were prioritised using the analytic hierarchy process (AHP) method. The results of the AHP analysis revealed that issues such as seasonality, variability in yield, logistics, and storage are the major issues that have a bearing on the supply chain of biodiesel. The study also suggests implications for theory and practitioners and policy actors. The present work is unique in the sense that research on the issues of biodiesel supply chains in India is meagre. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 27-43 Issue: 1 Volume: 12 Year: 2021 Keywords: Indian Railway; state road transportation; supply chain management; biodiesel; Jatropha; sustainability; India. File-URL: http://www.inderscience.com/link.php?id=114738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:1:p:27-43 Template-Type: ReDIF-Article 1.0 Author-Name: Yujak Stiwar Vélez Author-X-Name-First: Yujak Stiwar Author-X-Name-Last: Vélez Author-Name: Hernán Penagos Varela Author-X-Name-First: Hernán Penagos Author-X-Name-Last: Varela Author-Name: Julio Cesar Londoño Author-X-Name-First: Julio Cesar Author-X-Name-Last: Londoño Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Title: Redesign of supply chains for agricultural companies considering multiple scenarios by the methodology of sample average approximation Abstract: This paper considers the supply chains' problem for agricultural companies considering multiple scenarios using the methodology of sample average approximation (SAA). We consider an established supply chain, in which the central problem consists of the determination of closure and consolidation of distribution centres. In this work, a stochastic mathematical model representative of the chain has been formulated considering constraints for nodes and variations in customers' demand. The model has been solved using the SAA methodology, which examines the integration of Monte Carlo simulation and optimisation techniques. The efficiency of the mathematical model has been proven with real information obtained from a Colombian multinational company. The results obtained confirm the model's effectiveness and the positive impact on the redesign of the supply chain of companies belonging to the agricultural sector. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 44-68 Issue: 1 Volume: 12 Year: 2021 Keywords: optimisation of supply chains; stochastic mathematical model; sample average approximation; SAA; logistic; scenarios. File-URL: http://www.inderscience.com/link.php?id=114748 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:1:p:44-68 Template-Type: ReDIF-Article 1.0 Author-Name: Massimiliano Caramia Author-X-Name-First: Massimiliano Author-X-Name-Last: Caramia Author-Name: Yasutaka Kainuma Author-X-Name-First: Yasutaka Author-X-Name-Last: Kainuma Author-Name: Carola Altobelli Author-X-Name-First: Carola Author-X-Name-Last: Altobelli Title: Manufacturing vs. remanufacturing: study and analysis of a green supply chain in Japan and Europe Abstract: In this study, we analyse the side effects of the <i>remanufacturing process</i>, which are the <i>cannibalisation effect</i>, negative, and the <i>market expansion</i>, positive, when both new and remanufactured goods are sold in the market. This research is conducted analysing a manufacturing Japanese firm which produces printers and whose production process is a hybrid system of manufacturing and remanufacturing. In the first part of our study, we give a quantitative evaluation of both cannibalisation effect and market expansion, in order to estimate which one impacts more on the performance of the firm. Next, through the implementation of a mathematical formulation of the problem by means of a commercial solver, we were able to determine the price of remanufactured items which guarantees the maximum profit to the company, with the aim to compare the latter to the profit gained when only new items are sold. By the experiments conducted, it emerges that the remanufacturing process is more profitable than the model with only new goods sold. Therefore, it is worthwhile to investigate such kind of practices in supply chain management policies. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 69-83 Issue: 1 Volume: 12 Year: 2021 Keywords: remanufacturing process; cannibalisation effect; mathematical model; Japan. File-URL: http://www.inderscience.com/link.php?id=114749 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:1:p:69-83 Template-Type: ReDIF-Article 1.0 Author-Name: Anshu Gupta Author-X-Name-First: Anshu Author-X-Name-Last: Gupta Author-Name: Nomita Pachar Author-X-Name-First: Nomita Author-X-Name-Last: Pachar Author-Name: P.C. Jha Author-X-Name-First: P.C. Author-X-Name-Last: Jha Title: Centralised resource reallocation and reduction with common weight DEA model Abstract: Attaining higher efficiency in the utilisation of resources by organisations for producing the desired outputs is seen as a way forward for gaining market competitiveness, being more sustainable and resilient. Optimal reallocation of centrally managed resources among a group of decision making units is recognised as an effective strategy for repositioning an organisation's production possibility set to improve its performance. In this paper, we propose new resource reallocation models for optimal redistribution and reduction of selective centralised resources maximising the overall efficiency of the organisation simultaneously targeting the efficiency of the DMUs at the improved level. The proposed models are formulated based on a common weight DEA model to eliminate the problem of weight flexibility in conventional DEA models. The models incorporate the constraints for defining a feasible production plan as well as the judgement of the decision maker through input-output bounds. The applicability of the proposed methods is demonstrated through a case study of an electronics retail chain and also contrasted with existing studies. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 179-203 Issue: 3 Volume: 12 Year: 2021 Keywords: data envelopment analysis; DEA; common weight DEA; optimal resource reallocation; goal programming. File-URL: http://www.inderscience.com/link.php?id=117895 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:179-203 Template-Type: ReDIF-Article 1.0 Author-Name: Yertai Tanai Author-X-Name-First: Yertai Author-X-Name-Last: Tanai Author-Name: Emmanuel Dechenaux Author-X-Name-First: Emmanuel Author-X-Name-Last: Dechenaux Title: Wholesale price and manufacturer profit with downstream bargaining for consumer returns Abstract: This paper examines a closed-loop supply chain with a manufacturer, a retailer and a third-party reverse logistics provider (3PRLP). We focus on the management of consumer product returns assuming deterministic demand and rate of returns. We consider coordination between the retailer and 3PRLP over the quantity of returns processed for resale. The retailer and the 3PRLP share the gains from coordination according to Nash bargaining, with threat points that depend on the wholesale and retail prices. The relationship between product returns and manufacturer price and profit depends on the feasibility of coordination, which depends on the rate of returns. For a range of rates, manufacturer profit is less under coordination than in the uncoordinated case despite coordination yielding overall efficiency gains. In this case, the manufacturer is unable to capture gains from downstream coordination. We discuss managerial implications for the manufacturer of considering downstream coordination and bargaining over product returns. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 204-232 Issue: 3 Volume: 12 Year: 2021 Keywords: closed-loop supply chain; 3PRLPs; supply chain coordination; consumer returns; Nash bargaining. File-URL: http://www.inderscience.com/link.php?id=117897 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:204-232 Template-Type: ReDIF-Article 1.0 Author-Name: Nughthoh Arfawi Kurdhi Author-X-Name-First: Nughthoh Arfawi Author-X-Name-Last: Kurdhi Title: A multi-constraint integrated vendor-buyer problem with beta distributed defective items under stochastic demand Abstract: This study develops a multi-constraint stochastic integrated system involving a buyer and a vendor with a service level constraint, defective items, the limited buyer's storage space, and the maximum permissible set-up cost for the vendor. The reorder point, set-up cost, lead time, shipment quantity, and the number of deliveries are decision variables. The vendor sells the items to the buyer in a certain number of lots. There are some imperfect quality (defective) items in the arrival lot, and the defective rate is viewed as a beta random variable. The demand has a normal distribution. The shortage is permitted and it is partially backlogged. The Karush-Kuhn-Tucker approach is implemented to solve the discussed model that minimise the joint cost. Sensitivity analyses are performed to provide managerial implications. Using a profit-sharing structure, although both the vendor and the buyer have some business constraints, we observe that they can benefit from the coordinated supply chain. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 233-258 Issue: 3 Volume: 12 Year: 2021 Keywords: collaborative inventory model; defective items; investment; Karush-Kuhn-Tucker; service level constraint; set-up cost reduction; controllable lead time. File-URL: http://www.inderscience.com/link.php?id=117904 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:233-258 Template-Type: ReDIF-Article 1.0 Author-Name: Abbas Al-Refaie Author-X-Name-First: Abbas Author-X-Name-Last: Al-Refaie Author-Name: Dua'a Younes Abdelrahim Author-X-Name-First: Dua'a Younes Author-X-Name-Last: Abdelrahim Title: A system dynamics model for green logistics in a supply chain of multiple suppliers, retailers and markets Abstract: This paper aims at developing a system dynamics (SD) model to analyse the effect of green transportation and logistics on the total transportation cost of forward supply chain (FSC) and the total amount of CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions. The proposed green forward supply chain (GFSC) model considers multi-suppliers, retailers and markets, two types of suppliers (quick response and slow response), a single manufacturer, three retailers, and three markets. Based on SD model, the performance of GFSC was measured by CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions and total transportation costs for two transportation modes; regular (fuel) and hybrid trucks. Based on simulation results, the retailer that contributed to largest transportation costs and CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions was identified. Alternative green transport scenarios were proposed and then evaluated. Furthermore, a comparison between the performance of existing and suggested scenarios was conducted. Finally, sensitivity analysis was conducted to assess the impacts of model variables; CO<SUB align="right"><SMALL>2</SMALL></SUB> factor and fuel consumption. The results showed that the use of regular trucks resulted in large transportation costs and CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions in FSC. In conclusion, planning engineers can utilise the proposed GFSC model in determining transport solutions that achieve green logistics system, cost-efficient supplier selection, and measuring performance of GFSC. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 259-281 Issue: 3 Volume: 12 Year: 2021 Keywords: green logistics; system dynamics; multiple retailers; CO2 emission. File-URL: http://www.inderscience.com/link.php?id=117905 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:259-281 Template-Type: ReDIF-Article 1.0 Author-Name: Musah Osumanu Doumbia Author-X-Name-First: Musah Osumanu Author-X-Name-Last: Doumbia Author-Name: Iddrisu Awudu Author-X-Name-First: Iddrisu Author-X-Name-Last: Awudu Author-Name: Mariama Yakubu Author-X-Name-First: Mariama Author-X-Name-Last: Yakubu Author-Name: Saeb F. Al Ganideh Author-X-Name-First: Saeb F. Al Author-X-Name-Last: Ganideh Title: The impact of information sharing on organisational performance: a supply chain perspective Abstract: This study investigates the effects of supply chain management (SCM) practices on organisational performance in pharmaceutical industries. The relationship between SCM practices and organisational performance based on performance metrics such as productivity, efficiency, profitability, market share, return on investment and sales are examined. We developed a novel methodology based on structural equation model by combining a qualitative and quantitative approach. We also considered 119 pharmaceutical companies as we formulated set of hypotheses based on the positive influence of supply chain management practices on organisational performance and SCM practices and supply chain performance. The results show that strategic purchasing, customer relationship management, strategic supplier relationship, information sharing and internal lean practices are significant predictors of organisational performance. In addition, we find that information sharing, although relevant in the supply chain, does not impact organisational performance. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 282-305 Issue: 3 Volume: 12 Year: 2021 Keywords: supply chain; pharmaceutical; performance; information sharing; organisation. File-URL: http://www.inderscience.com/link.php?id=117907 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:282-305 Template-Type: ReDIF-Article 1.0 Author-Name: Oskari Lähdeaho Author-X-Name-First: Oskari Author-X-Name-Last: Lähdeaho Author-Name: Olli-Pekka Hilmola Author-X-Name-First: Olli-Pekka Author-X-Name-Last: Hilmola Title: Road traffic emissions and emission reduction targets: case of Highway E18 in South-East Finland Abstract: Transportation accounts for approximately a quarter of global carbon dioxide (CO<SUB align="right"><SMALL>2</SMALL></SUB>) emissions, and it is the only sector where emissions have been increasing over the past few decades. European Union (EU) has set carbon reduction targets for the transportation sector to 2050. This research examines the situation in Finland through the eastern section of a main highway. Traffic volumes on the examined highway (E18) were gathered from 2010 to 2019. Thereafter, an emissions inventory was synthesised with open data on traffic volumes, national vehicle fleet characteristics and corresponding emissions factors. The total greenhouse gas (GHG) emissions have risen slightly, while air pollutant emissions have decreased. This is primarily due to vehicle fleet renewal and decreased heavy road traffic. Also, a hypothetical scenario is built, which indicates that reaching the EU's decarbonisation goals in the study region via electrification requires the extent to cover all passenger vehicles and vans. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 306-327 Issue: 3 Volume: 12 Year: 2021 Keywords: road traffic; emissions; monitoring; reduction; environmental sustainability; case study; Finland. File-URL: http://www.inderscience.com/link.php?id=117912 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:3:p:306-327 Template-Type: ReDIF-Article 1.0 Author-Name: Pankaj C. Shete Author-X-Name-First: Pankaj C. Author-X-Name-Last: Shete Author-Name: Zulfiquar N. Ansari Author-X-Name-First: Zulfiquar N. Author-X-Name-Last: Ansari Author-Name: Ravi Kant Author-X-Name-First: Ravi Author-X-Name-Last: Kant Title: Analysis of sustainable supply chain management enablers and their benefits realised to business organisations Abstract: The objective of this study is to identify and analyse the sustainable supply chain management (SSCM) benefits realised due to adoption of SSCM enablers. A hybrid modified step-wise weight assessment ratio analysis (SWARA) - weighted aggregated sum product assessment (WASPAS) approach has been adopted in this research work for the analysis. Modified SWARA is used to determine the relative importance of SSCM enablers while WASPAS method is used to prioritise the benefits. The findings of the study reveal that more attention should be on the adoption of environmental and regulatory enablers for effectiveness in SSCM implementation. It is also found that improved ability of 6R practices is a highly realised benefit due to the adoption of SSCM enablers. This research will help decision makers to effectively implement sustainability in their business organisation by developing a strategic action plan at the initial stage of SSCM implementation. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 85-115 Issue: 2 Volume: 12 Year: 2021 Keywords: sustainable supply chain management; SSCM; enabler; benefits; step-wise assessment ratio analysis; SWARA; weighted aggregated sum product assessment; WASPAS. File-URL: http://www.inderscience.com/link.php?id=116206 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:2:p:85-115 Template-Type: ReDIF-Article 1.0 Author-Name: Reena Jain Author-X-Name-First: Reena Author-X-Name-Last: Jain Author-Name: Mona Verma Author-X-Name-First: Mona Author-X-Name-Last: Verma Title: Two echelon supply chain with price dependent demand and premium payment scheme Abstract: Supply chain mechanisms that deal with price variation and shortage gaming needs special attention because both are considered as the main causes of the bullwhip effect. Shortage gaming, forces capacity-constrained supplier to curtail the supply to manage the demand of retailers from existing capacity. To avoid the risk of shortages, retailers manipulate their demand and generate the bullwhip effect. Moreover, price variation because of price-dependent demand and premium payment schemes also causes the bullwhip effect. Hence, in the present paper, an attempt has been made to investigate a two-echelon supply chain containing one supplier and <i>N</i> retailers under assumptions of the limited capacity constraint and price-dependent demand. Two mathematical models have been developed to decide extended capacity and premium payment scheme. It has been claimed that the presented models mitigate the bullwhip effect in the stated scenario. Numerical analysis has been presented along with the analysis of sensitive factors. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 116-128 Issue: 2 Volume: 12 Year: 2021 Keywords: supply chain; bullwhip effect; rationing; shortage gaming; premium payment scheme; price-dependent demand; joint-optimisation; limited-capacity; product fill rate; PFR; monopolistic environment. File-URL: http://www.inderscience.com/link.php?id=116210 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:2:p:116-128 Template-Type: ReDIF-Article 1.0 Author-Name: Rabiya Zubair Author-X-Name-First: Rabiya Author-X-Name-Last: Zubair Author-Name: Syed Mehmood Hasan Author-X-Name-First: Syed Mehmood Author-X-Name-Last: Hasan Author-Name: Muhammad Wasif Author-X-Name-First: Muhammad Author-X-Name-Last: Wasif Author-Name: Sharfuddin Ahmed Khan Author-X-Name-First: Sharfuddin Ahmed Author-X-Name-Last: Khan Title: A conceptual framework to integrate new product development and supply chain management with organisational business flow in an extended environment Abstract: In recent times, academic findings showcased different phases of new product development (NPD) and explained that during this time, different factors influenced supply chain, in which cost plays the most important role as NPD phases used time and cost together. Moreover different findings in research suggested that if the supplier gets involved at initial stages of developing product it actually adds value in a complete extended enterprise. So basically this is a necessity for an enterprise to explore any opportunity that can arise after implementing the framework, which in literature is scarce. The secondary advantage which they can achieve by implementing this framework that industry can check the viability of concurrent engineering in integrated supply chain. Therefore this paper will help industries to explore the initial framework which integrate new product development and supply chain within their domain of either manufacturing or within the fast moving consumer goods (FMCG) sector. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 129-146 Issue: 2 Volume: 12 Year: 2021 Keywords: new product development; NPD; supply chain integration; SCI integrated framework; decision-making; business flows. File-URL: http://www.inderscience.com/link.php?id=116211 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:2:p:129-146 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Akhtar Author-X-Name-First: Mohammad Author-X-Name-Last: Akhtar Author-Name: Biranchi Prasad Panda Author-X-Name-First: Biranchi Prasad Author-X-Name-Last: Panda Author-Name: Aijaz Ahmad Khan Author-X-Name-First: Aijaz Ahmad Author-X-Name-Last: Khan Title: An integrated fuzzy multi-criteria group decision-making approach for supplier evaluation and selection in oil and gas industry Abstract: Supplier selection is an important and strategic decision of supply chain. Identifying and selecting the right suppliers to provide specialty chemicals, spares parts, oils and lubricant in an oil and gas industry impacts oilfield operations, supply chain performance and competitiveness of the firm. The supplier evaluation and selection is based on multiple quantitative and qualitative criteria. Thus, it is a multi-criteria group decision making (MCGDM) problem which involves importance ratings of suppliers with respect to criteria by group of decision makers (DMs) which are vague and imprecise. In this paper, a supplier's evaluation and selection based on nine criteria has been demonstrated using integrated fuzzy entropy (FEntropy) and fuzzy complex proportional assessment (FCOPRAS) methods in an Indian oil and gas company. Fuzzy entropy method is used for objective weight determination of criteria while FCOPRAS for suppliers ranking and selection. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 147-178 Issue: 2 Volume: 12 Year: 2021 Keywords: supplier evaluation; fuzzy entropy; FEntropy; fuzzy complex proportional assessment; FCOPRAS; multi-criteria group decision making; MCGDM. File-URL: http://www.inderscience.com/link.php?id=116213 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:12:y:2021:i:2:p:147-178