A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming

Mehri, S.; Roghanian, E.; Khodadadzadeh, T.

Growing Science » Uncertain Supply Chain Management » A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 1 Issue 2 pp. 107-114 , 2013

A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming Pages 107-114 Download PDF

Authors: Sajad Mehri, Emad Roghanian, Tahereh Khodadadzadeh

DOI: 10.5267/j.uscm.2013.05.004

Keywords: Supply chain; Fuzzy linear programming; Fuzzy TOPSIS

Abstract: One of the primary concerns on supply chain management is to select appropriate suppliers based on different criteria, which are often in serious conflict. In this paper, we present a fuzzy TOPSIS technique to prioritize suppliers on reverse logistic network based on different criteria and then the proposed model of this paper applies fuzzy linear programming technique to determine optimum order quantity associated with each supplier. There are three criteria associated with each supplier including technical skills, equipment and ability to analyze. The implementation of the proposed method has been demonstrated in case study.

How to cite this paper

 Mehri, S., Roghanian, E & Khodadadzadeh, T. (2013). A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming.Uncertain Supply Chain Management, 1(2), 107-114.

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