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Supply Chain Performance Measurement: An Integrated DEMATEL and Fuzzy-ANP Approach

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Supply Chain Management Under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

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.

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Author information

Authors and Affiliations

  1. Institut Charles Delaunay, Laboratoire ďOptimisation des Systèmes Industriels (LOSI), Université de Technologie de Troyes, 12, rue Marie Curie-BP 2060, 10010, Troyes cedex, France

    Ozlem Senvar

  2. Department of Industrial Engineering, Yildiz Technical University, 34349, Besiktas, Istanbul, Turkey

    Umut Rifat Tuzkaya

  3. Department of Industrial Engineering, Istanbul Technical University, 34367, Macka, Istanbul, Turkey

    Cengiz Kahraman

Authors
  1. Ozlem Senvar
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  2. Umut Rifat Tuzkaya
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  3. Cengiz Kahraman
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Correspondence to Ozlem Senvar .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

Appendix

Appendix

Normalized fuzzy weights of W22 part of the supermatrix

Normalized fuzzy weights of W22 part of the supermatrix

Normalized fuzzy weights of W22 part of the supermatrix

Normalized fuzzy weights of W22 part of the supermatrix

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Senvar, O., Tuzkaya, U.R., Kahraman, C. (2014). Supply Chain Performance Measurement: An Integrated DEMATEL and Fuzzy-ANP Approach. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-53939-8_7

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  • Print ISBN: 978-3-642-53938-1

  • Online ISBN: 978-3-642-53939-8

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