A multiobjective model for optimizing green closed-loop supply chain network under uncertain environment by NSGA-II metaheuristic algorithm

DOI10.1155/2022/2680892zbMath1497.90190OpenAlexW4293026739MaRDI QIDQ2676003

Behnam Vahdani, Farhad Etebari, Bahman Naderi, Babak Hassangaviar

Publication date: 27 September 2022

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2022/2680892

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Discrete location and assignment (90B80)

Cites Work

• Capacitated location allocation problem with stochastic location and fuzzy demand: a hybrid algorithm
• A robust multi-objective model for managing the distribution of perishable products within a green closed-loop supply chain
• Designing a multi-echelon closed-loop supply chain with disruption in the distribution centers under uncertainty
• A COMPUTATIONAL APPROACH BASED ON THE \epsilon-CONSTRAINT METHOD IN MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

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