A multi-objective optimization of closed-loop supply chain problem with vehicle routing
نویسندگان
چکیده
Product recovery has become significant business strategies to increase a competitive edge in and also the society. Parts from discarded products due rapid advancement post-consumer before & after end-of-life (EOL) are recovered reduce landfill waste have part of circular economy. is made possible with help Closed-loop supply chain (CLSC). This paper concentrates on multi-period, multi-product, multi-echelon Closed Loop Green Supply Chain (CLGSC) network. A bi-objective (cost emission) Mixed Integer Linear Programming (MILP) model been formulated for network optimized using Goal approach Genetic Algorithm. Results discussed providing some managerial insights model.
منابع مشابه
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ژورنال
عنوان ژورنال: Global Journal of Engineering and Technology Advances
سال: 2021
ISSN: ['2582-5003']
DOI: https://doi.org/10.30574/gjeta.2021.6.2.0009