A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item

Ozkok B., TİRYAKİ F.

EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.9, pp.11363-11368, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 9
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2011.03.004
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.11363-11368
  • Keywords: Compensatory operators, Fuzzy mathematical programming, Multi-criteria decision, Supplier selection, Supply chain, VENDOR SELECTION, DECISION-MAKING, TOPSIS
  • Yıldız Technical University Affiliated: Yes

Abstract

Supplier selection problem is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the selection process many criteria may conflict with each other, therefore decision-making process becomes complicated. In this paper, we propose a compensatory fuzzy approach to solve multi-objective linear supplier selection problem with multiple-item (MLSSP-MI) by using Werners' "fuzzy and" (mu(and)) operator. The compromise solutions obtained by using "fuzzy and" (mu(and)) operator a are both compensatory and strongly efficient for our MLSSP-Ml. To our knowledge, combining compensatory (mu(and)) operator with MLSSP-MI has not been published up to now. Our compensatory fuzzy approach was explained on a case study. (C) 2011 Elsevier Ltd. All rights reserved.