A weighted additive fuzzy programming approach for multi-criteria supplier selection

Yucel A., GÜNERİ A. F.

EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.5, pp.6281-6286, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 5
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2010.11.086
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.6281-6286
  • Keywords: Supplier selection, Fuzzy multi-objective linear model, Linguistic variables, Multi-Criteria Decision Making, ANALYTIC HIERARCHY PROCESS, DECISION-SUPPORT-SYSTEM, ORDER ALLOCATION, VENDOR SELECTION, MULTIOBJECTIVE MODEL, CHAIN, TOPSIS, METHODOLOGY, ENVIRONMENT, MANAGEMENT
  • Yıldız Technical University Affiliated: Yes

Abstract

In supply chain management, to build strategic and strong relationships, firms should select best suppliers by applying appropriate method and selection criteria. In this paper, to handle ambiguity and fuzziness in supplier selection problem effectively, a new weighted additive fuzzy programming approach is developed. Firstly, linguistic values expressed as trapezoidal fuzzy numbers are used to assess the weights of the factors. By applying the distances of each factor between Fuzzy Positive Ideal Rating and Fuzzy Negative Ideal Rating, weights are obtained. Then applying suppliers' constraints, goals and weights of the factors, a fuzzy multi-objective linear model is developed to overcome the selection problem and assign optimum order quantities to each supplier. The proposed model is explained by a numerical example. (c) 2010 Elsevier Ltd. All rights reserved.