An integrated fuzzy MCDM approach for supplier evaluation and selection


KARSAK E. E. , DURSUN M.

COMPUTERS & INDUSTRIAL ENGINEERING, vol.82, pp.82-93, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 82
  • Publication Date: 2015
  • Doi Number: 10.1016/j.cie.2015.01.019
  • Journal Name: COMPUTERS & INDUSTRIAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.82-93
  • Keywords: Supplier selection, Quality function deployment, Multi-criteria decision making, Decision support, Fuzzy methods, 2-tuple linguistic representation, LINGUISTIC REPRESENTATION MODEL, GROUP DECISION-MAKING, VENDOR SELECTION, PRODUCT DESIGN, CRITERIA, AHP, RISK, QFD, PERFORMANCE, MANAGEMENT
  • Galatasaray University Affiliated: Yes

Abstract

A fuzzy multi-criteria group decision making approach that makes use of quality function deployment (QFD), fusion of fuzzy information and 2-tuple linguistic representation model is developed for supplier selection. The proposed methodology seeks to establish the relevant supplier assessment criteria while also considering the impacts of inner dependence among them. Two interrelated house of quality matrices are constructed, and fusion of fuzzy information and 2-tuple linguistic representation model are employed to compute the weights of supplier selection criteria and subsequently the ratings of suppliers. The proposed method is apt to manage non-homogeneous information in a decision setting with multiple information sources. The decision framework presented in this paper employs ordered weighted averaging (OWA) operator, and the aggregation process is based on combining information by means of fuzzy sets on a basic linguistic term set. The proposed framework is illustrated through a case study conducted in a private hospital in Istanbul. (C) 2015 Elsevier Ltd. All rights reserved.