Supply chain performance measurement: An integrated dematel and fuzzy-ANP approach

Ozlem Senvar*, Umut Rifat Tuzkaya, Cengiz Kahraman

*Corresponding author for this work

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

19 Citations (Scopus)

Abstract

Supply chain performance measurement is vital for the continuous improvement of supply chain management. Effective supply chain performance measurement is one of the most important aspects for supply chain management in which decision makers can analyze the historical performance and current status, and set future performance targets. This chapter provides a conceptual point of view to supply chain performance measurement. Inevitably, quantification of the values with precision in a complex supply chain performance measurement system is difficult. The supply chain performance measurement under fuzziness can consider the uncertainty and ambiguity surrounding the supply chain performance measurement. The aim of this chapter is to present a fuzzy decision making approach to deal with the performance measurement in supply chain systems. In this chapter, DEMATEL method is adapted to model complex interdependent relationships and construct a relation structure using measurement criteria for evaluation. F-ANP is performed to overcome the problem of dependence and feedback among each measurement criteria. The integrated DEMATEL and F-ANP approach provides an effective decision tool for the supply chain performance measurement.

Original languageEnglish
Title of host publicationSupply Chain Management Under Fuzziness
Subtitle of host publicationRecent Developments and Techniques
PublisherSpringer Verlag
Pages143-165
Number of pages23
ISBN (Print)9783642539381
DOIs
Publication statusPublished - 2014
Externally publishedYes

Publication series

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

Keywords

  • ANP
  • DEMATEL
  • Fuzzy logic
  • Multi criteria decision making
  • Performance management
  • Suppy chain management

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