Table of Contents
Journal of Industrial Engineering
Volume 2013, Article ID 987172, 10 pages
http://dx.doi.org/10.1155/2013/987172
Research Article

A Modified Deterministic Model for Reverse Supply Chain in Manufacturing

1Department of Mechanical Engineering, Institute of Technical Education and Research, SOA University, Bhubaneswar 751030, India
2Department of Industrial Design, National Institute of Technology, Rourkela 769008, India
3Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India

Received 30 August 2012; Revised 9 December 2012; Accepted 10 December 2012

Academic Editor: Wen Chiung Lee

Copyright © 2013 R. N. Mahapatra et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Technology is becoming pervasive across all facets of our lives today. Technology innovation leading to development of new products and enhancement of features in existing products is happening at a faster pace than ever. It is becoming difficult for the customers to keep up with the deluge of new technology. This trend has resulted in gross increase in use of new materials and decreased customers' interest in relatively older products. This paper deals with a novel model in which the stationary demand is fulfilled by remanufactured products along with newly manufactured products. The current model is based on the assumption that the returned items from the customers can be remanufactured at a fixed rate. The remanufactured products are assumed to be as good as the new ones in terms of features, quality, and worth. A methodology is used for the calculation of optimum level for the newly manufactured items and the optimum level of the remanufactured products simultaneously. The model is formulated depending on the relationship between different parameters. An interpretive-modelling-based approach has been employed to model the reverse logistics variables typically found in supply chains (SCs). For simplicity of calculation a deterministic approach is implemented for the proposed model.