A fuzzy solution approach for multi objective supplier selection

Arikan F.

EXPERT SYSTEMS WITH APPLICATIONS, vol.40, no.3, pp.947-952, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 3
  • Publication Date: 2013
  • Doi Number: 10.1016/j.eswa.2012.05.051
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.947-952
  • Keywords: Multiple objective optimization, Fuzzy mathematical programming, Supplier selection, VENDOR SELECTION, PROGRAMMING APPROACH, MODEL, ALLOCATION, OPERATORS, CONNECTIVES, CRITERIA
  • Gazi University Affiliated: Yes

Abstract

In today's severe competitive environment the selection of appropriate suppliers is a significantly important decision for effective supply chain management. Appropriate suppliers reduce purchasing costs, decrease production lead time, increase customer satisfaction and strengthen corporate competitiveness. In this study a multiple sourcing supplier selection problem is considered as a multi objective linear programming problem. Three objective functions are minimization of costs, maximization of quality and maximization of on-time delivery respectively. In order to solve the problem, a fuzzy mathematical model and a novel solution approach are proposed to satisfy the decision maker's aspirations for fuzzy goals. The proposed approach can be efficiently used to obtain non-dominated solutions. A numerical example is given to illustrate how the approach is utilized. (C) 2012 Elsevier Ltd. All rights reserved.