Research Article | OPEN ACCESS
Implementation of Genetic Algorithm in Network Modelling of Multi-level Reverse Logistics for Single Product
Siva Prasad Darla, C.D. Naiju, B. Venkat Likhit and Polu Vidya Sagar
SMBS, VIT University, Vellore-632014, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 6:687-690
Received: June 22, 2013 | Accepted: July 05, 2013 | Published: August 15, 2014
Abstract
In this study, a multi level reverse logistics network is developed for a single product. Reverse logistics is a logistic activity beginning from intake of products returned by customers to selling of remanufactured or new products in market; so, it is considered that reverse flow of used products is from various sources like customers, dealers, retailers, manufacturers, etc., to remanufacturer and followed by transportation to secondary market. Due to uncertainties, any traditional supply chain approach to identify potential manufacturing facilities in this situation cannot be employed. Hence, Genetic Algorithm (GA) is used for optimization and minimization of various costs involved in reverse logistics process. A sample numerical data is considered to test performance of the proposed model.
Keywords:
Cost reduction , network model , optimization , reverse logistics,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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