Title: A metaheuristics-based decision support system for the performance measurement of reverse supply chain management
Authors: G. Kannan
Addresses: Department of Business and Economics, University of Southern Denmark, Denmark
Abstract: The main objective of any supply chain is to satisfy its customers by supplying goods and services at the right time, the right place, the right quantity and the right quality, which determines the productivity. This age of globalisation has made the pressure more intense for supply chains. In addition, the increased environmental concerns and stringent environmental laws have intensified the pressure on the business world. In this scenario, reverse logistics in Supply Chain Management (SCM) has received growing attention and plays a key role in the performance measurement of a firm. In this work, the remanufacturing system in a reverse logistics environment has been discussed, as it affects the performance of the reverse supply chain. A numerical example is provided for the proposed model.
Keywords: metaheuristics; genetic algorithms; GAs; environmental issues; reverse logistics; decision support systems; DSS; performance measurement; supply chain management; SCM; remanufacturing; reverse supply chains.
International Journal of Business Performance Management, 2009 Vol.11 No.1/2, pp.152 - 169
Published online: 12 Mar 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article