Optimizing a multi-product closed-loop supply chain using NSGA-II, MOSA, and MOPSO meta-heuristic algorithms

Optimizing a multi-product closed-loop supply chain using NSGA-II, MOSA, and MOPSO meta-heuristic algorithms

Abstract This study aims to discuss the solution methodology for a closed-loop supply chain (CLSC) network that includes the collection of used products as well as distribution of the new products. This supply chain is presented on behalf of the problems that can be solved by the proposed meta-heuri...

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Bibliographic Details
Main Authors: Vahid Babaveisi, Mohammad Mahdi Paydar, Abdul Sattar Safaei
Format: Article
Language:English
Published: Islamic Azad University 2017-07-01
Series:Journal of Industrial Engineering International
Subjects:
Closed-loop logistics
NSGA-II
MOPSO
MOSA
Taguchi
Mathematical model
Online Access:http://link.springer.com/article/10.1007/s40092-017-0217-7

Internet

http://link.springer.com/article/10.1007/s40092-017-0217-7

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