Designing a sustainable closed-loop supply chain network considering lateral resupply and backup suppliers using fuzzy inference system

Sustainability is key factor for transforming traditional supply chain networks into modern ones. This study, for the first time, considers the impacts of the backup suppliers and lateral transshipment/resupply simultaneously on designing a Sustainable Closed-Loop Supply Chain Network (SCLSCN) to de...

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Veröffentlicht in:	Environment, development and sustainability Jg. 27; H. 10; S. 23203 - 23236
Hauptverfasser:	Momenitabar, Mohsen, Dehdari Ebrahimi, Zhila, Arani, Mohammad, Mattson, Jeremy, Ghasemi, Peiman
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Springer Nature B.V 30.04.2022 Springer Netherlands
Schlagworte:	Algorithms Case studies Circular economy Climate change Closed loops Costs Customers Distribution centers Employment opportunities Energy consumption Energy costs Environmental aspects Environmental effects Environmental impact Fuzzy sets Goal programming Inference Integer programming Inventory Job opportunities Linear programming Literature reviews Manufacturers Manufacturing Mathematical models Mixed integer Multiple objective analysis Networks Objective function Objectives Optimization Parameter estimation Parameter sensitivity Pollution Rubber industry Sensitivity analysis Shortages Suppliers Supply Supply chains Sustainability Uncertainty Utility functions Fuzzy inference system Circular economy Sustainable closed-loop supply chain network Lateral transshipment/resupply Fuzzy robust optimization Backup suppliers
ISSN:	1573-2975, 1387-585X, 1573-2975
Online-Zugang:	Volltext
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