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Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses


Sadrnia, Abdolhossein and Ismail, Napsiah and Mohd Ariffin, Mohd Khairol Anuar and Zulkifli, Norzima and Boyer, Omid (2014) Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses. Applied Mechanics and Materials, 564. pp. 740-746. ISSN 1660-9336; ESSN: 1662-7482


The shortage of material and environmental legislations have encouraged car manufacturers to recycle used material in end of life vehicles (ELVs), reverse logistics are essential to the concerns of the automotive supply chain. In this research, a profit model multi-echelon reverse logistics network including collection center, shredder center and recycling center is developed to recycle automotive parts. The work was continued by illustrating empirical application in wiring harness manufacturer that would like to recycle wire harnesses and extract copper. With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. The results emphasize the efficiency of the modeling and solving method so that in the case study the company gained more than 27 thousand dollars through the establishment of reverse logistics for recycling copper.

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Official URL or Download Paper: http://www.scientific.net/AMM.564.740

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.4028/www.scientific.net/AMM.564.740
Publisher: Trans Tech Publications
Keywords: Automotive wiring harnesses; Genetic algorithm; Meta-heuristic algorithms; Recycling; Reverse logistics; Supply chain
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 12 Oct 2016 03:46
Last Modified: 12 Oct 2016 03:46
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4028/www.scientific.net/AMM.564.740
URI: http://psasir.upm.edu.my/id/eprint/35254
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