Supply chain performance measurement using a SCOR based fuzzy VIKOR approach

Başar Öztayşi*, Özge Sürer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

25 Citations (Scopus)

Abstract

Supply Chain performance measurement is a vital issue for supply chain management. Both from the academia and professional life, various models are proposed for this subject. In this chapter, the literature is investigated for current performance measurement models and a multi-criteria decision making approach is proposed for supply chain performance measurement. In this study, SCOR model is used for structuring the problem, Fuzzy Analytic Hierarchy Process (AHP) is used to determine the importance weights of the criteria and finally Fuzzy VIKOR is used to rank the alternatives based on expert evaluations.

Original languageEnglish
Title of host publicationSupply Chain Management Under Fuzziness
Subtitle of host publicationRecent Developments and Techniques
PublisherSpringer Verlag
Pages199-224
Number of pages26
ISBN (Print)9783642539381
DOIs
Publication statusPublished - 2014

Publication series

NameStudies in Fuzziness and Soft Computing
Volume313
ISSN (Print)1434-9922

Keywords

  • Fuzzy AHP
  • Fuzzy VIKOR
  • Performance measurement
  • Supply chain

Fingerprint

Dive into the research topics of 'Supply chain performance measurement using a SCOR based fuzzy VIKOR approach'. Together they form a unique fingerprint.

Cite this