Authors
Ozlem Senvar, Umut Rifat Tuzkaya, Cengiz Kahraman,
Title
Supply Chain Performance Measurement: An Integrated DEMATEL and Fuzzy-ANP Approach
In
Supply Chain Management Under Fuzziness
Volume
Recent Developments and Techniques Series: Studies in Fuzziness and Soft Computing
Issue
Vol.313
Pages
143–166
Publisher
Springer-Verlag Berlin Heidelberg
Year
2014
Indexed by
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.
Affiliations
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