Multi-Criteria Supplier Selection Based on Fuzzy Pairwise Comparison in AHP

AKBAŞ S., ERBAY DALKILIÇ T.

GAZI UNIVERSITY JOURNAL OF SCIENCE, vol.31, no.1, pp.296-308, 2018 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 1
  • Publication Date: 2018
  • Journal Name: GAZI UNIVERSITY JOURNAL OF SCIENCE
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.296-308
  • Keywords: Fuzzy AHP, Supplier Selection, Multi-Criteria Decision Making, EXTENT ANALYSIS METHOD, DECISION-MAKING METHOD, PROGRAMMING APPROACH, ORDER ALLOCATION, CHAIN, METHODOLOGY, INDUSTRY, SUPPORT, MODEL
  • Karadeniz Technical University Affiliated: Yes

Abstract

Supplier selection process has become an important force that influences the management of industrial relations. Therefore, it has a great importance for companies. Supplier selection process is a complex multi criteria decision making process where problems include multiple objects. In this study, multi criteria decision making problems, decision makers' opinions on these problems, and the solution processes are discussed. The proposed algorithm, modeled with trapezoidal fuzzy numbers, is applied to an example in the literature. The results obtained from the proposed algorithm and from the existing method are compared in terms of the quality of the solution.