Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize

This study explores a Robust, Risk-aware, Resilient, and Sustainable Closed-Loop Supply Chain Network Design (3RSCLSCND) to tackle demand fluctuation like COVID-19 pandemic. A two-stage robust stochastic multiobjective programming model serves to express the proposed problems in formulae. The object...

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Vydané v:	International journal of logistics Ročník 27; číslo 5; s. 705 - 745
Hlavní autori:	Lotfi, Reza, Sheikhi, Zohre, Amra, Mohsen, AliBakhshi, Mehdi, Weber, Gerhard-Wilhelm
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 03.05.2024 Taylor & Francis LLC
Predmet:	Algorithms Closed loops Closed-loop supply chain Design optimization Energy consumption Energy costs fix-and-optimize Lagrangian relaxation Mathematical programming Minimax technique Multiple objective analysis Network design resiliency risk Risk management Robustness Supply chains sustainability Upper bounds
ISSN:	1367-5567, 1469-848X
On-line prístup:	Získať plný text
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