Multi-objective mixed integer programming modelling for closed-loop supply chain network design: an enhanced Benders decomposition algorithm

Considering a closed-loop supply chain (CLSC) network with uncertain demand and recycling rates, this article innovatively designs a multi-objective mixed-integer programming model that incorporates corporate social responsibility (CSR), a facility retrofit strategy (FRS), a flexible supply strategy...

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Veröffentlicht in:	Engineering optimization Jg. 56; H. 12; S. 2478 - 2521
Hauptverfasser:	Liu, Chang, Ji, Ying, Wahab, M. I. M., Peng, Zhisheng, Li, Xinqi, Qu, Shaojian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 01.12.2024 Taylor & Francis Ltd
Schlagworte:	Algorithms Benders decomposition Closed loops Closed-loop supply chain corporate social responsibility Design enhanced Benders decomposition Impact analysis Integer programming Mixed integer Multiple objective analysis Network design practical relevance characteristics Retrofitting Robustness (mathematics) Social responsibility Supply chains Uncertainty analysis uncertainty environment
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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