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Abstract
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Article Information:
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
Corresponding Author: B. Venkat Likhit
Submitted: June 22, 2013
Accepted: July 05, 2013
Published: August 15, 2014 |
Abstract:
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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.
Key words: Cost reduction, network model, optimization, reverse logistics, , ,
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Cite this Reference:
Siva Prasad Darla, C.D. Naiju, B. Venkat Likhit and Polu Vidya Sagar, . Implementation of Genetic Algorithm in Network Modelling of Multi-level Reverse Logistics for Single Product. Research Journal of Applied Sciences, Engineering and Technology, (6): 687-690.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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