A novel approach integrating FANP and MOMILP for the collection centre location problem in closed-loop supply chain

Supply chain network design plays a crucial role in supply chain management. With government support as well as restriction and legislation, the enhancement of environmental awareness, and the drive of economic interest, reverse logistics have been incorporated into the supply chain, forming a close...

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Vydáno v:International journal of sustainable engineering Ročník 13; číslo 3; s. 171 - 183
Hlavní autoři: Yang, Chuanrui, Chen, Xiaohui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Taylor & Francis 03.05.2020
Taylor & Francis Ltd
Taylor & Francis Group
Témata:
Closed-loop supply chain
Decision making
Environmental awareness
Environmental factors
Environmental legislation
facility location
fuzzy analytic network process
Garbage collection
Integer programming
Legislation
Linear programming
multi-factor
multi-objective mixed integer linear programming
Multiple objective analysis
Political factors
Qualitative analysis
Reverse logistics
Site selection
Supply chains
ISSN:1939-7038, 1939-7046
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Shrnutí:Supply chain network design plays a crucial role in supply chain management. With government support as well as restriction and legislation, the enhancement of environmental awareness, and the drive of economic interest, reverse logistics have been incorporated into the supply chain, forming a closed-loop supply chain. The collection centre, which helps recycle and classify returned products, is a vital hub in closed-loop networks. Regarding the location problem, this study proposes a novel approach that integrates a fuzzy analysis network process and multi-objective mixed-integer linear programming to analyse qualitative and quantitative factors: social, political, and environmental factors, including costs, emissions, and responsiveness. Hence, an ε-constraint method is applied to examine the proposed framework. Finally, uncertain scenarios and different scale problems are discussed. Orthogonal experiments provide a sufficient basis for decision-making.
Bibliografie:ObjectType-Article-1
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ISSN:1939-7038
1939-7046
DOI:10.1080/19397038.2019.1644388