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

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.

[1]  Lotfi A. Zadeh,et al.  A fuzzy-algorithmic approach to the definition of complex or imprecise concepts , 1976 .

[2]  M. Adel El-Baz,et al.  Fuzzy performance measurement of a supply chain in manufacturing companies , 2011, Expert Syst. Appl..

[3]  Umut Rifat Tuzkaya,et al.  Selecting container port via a fuzzy ANP-based approach: A case study in the Marmara Region, Turkey , 2011 .

[4]  Thomas L. Saaty,et al.  Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process , 1998, Oper. Res..

[5]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[6]  A. Gunasekaran,et al.  Performance measures and metrics in a supply chain environment , 2001 .

[7]  Peter C. Brewer,et al.  USING THE BALANCED SCORECARD TO MEASURE SUPPLY CHAIN PERFORMANCE. , 2000 .

[8]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[9]  Felix T.S. Chan,et al.  Performance Measurement in a Supply Chain , 2003 .

[10]  Christina W. Y. Wong,et al.  Methodology for monitoring supply chain performance: a fuzzy logic approach , 2002 .

[11]  Gwo-Hshiung Tzeng,et al.  A soft computing method for multi-criteria decision making with dependence and feedback , 2006, Appl. Math. Comput..

[12]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[13]  Angappa Gunasekaran,et al.  Relationship between generic strategies, competitive advantage and organizational performance: an empirical analysis , 1999 .

[14]  Seyed Mohammad Seyedhosseini,et al.  Extracting leanness criteria by employing the concept of Balanced Scorecard , 2011, Expert Syst. Appl..

[15]  Gülfem Tuzkaya,et al.  LOCATION SELECTION OF EMERGENCY LOGISTICS CENTERS USING AN INTEGRATED DEMATEL-ANP APPROACH , 2012 .

[16]  Yahia Zare Mehrjerdi,et al.  Excellent supply chain management , 2009 .

[17]  Jiunn-I Shieh,et al.  A Combination of AHP and DEMATEL in Evaluating the Criteria of Employment Service Outreach Program Personnel , 2010 .

[18]  F. Chan,et al.  An innovative performance measurement method for supply chain management , 2003 .

[19]  Luiz Cesar Ribeiro Carpinetti,et al.  A fuzzy logic approach to supply chain performance management , 2011 .

[20]  Cengiz Kahraman,et al.  Hierarchical fuzzy TOPSIS model for selection among logistics information technologies , 2007, J. Enterp. Inf. Manag..

[21]  D. Lambert,et al.  Issues in Supply Chain Management , 2000 .

[22]  Sheng-Lin Chang,et al.  Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle , 2006 .

[23]  Yaw-Chu Chen An application of fuzzy set theory to the external performance evaluation of distribution centers in logistics , 2002, Soft Comput..

[24]  S. Lamouri,et al.  A framework for analysing supply chain performance evaluation models , 2013 .

[25]  Gwo-Hshiung Tzeng,et al.  An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method , 2011, Expert Syst. Appl..

[26]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[27]  J. Hershauer,et al.  TOTAL QUALITY MANAGEMENT IN THE SUPPLY CHAIN : WHAT IS ITS IMPACT ON PERFORMANCE? , 1997 .

[28]  R. P. Mohanty,et al.  A fuzzy ANP-based approach to R&D project selection: A case study , 2005 .

[29]  Dusan Stefanovic,et al.  Supply chain performance measurement system based on scorecards and web portals , 2011, Comput. Sci. Inf. Syst..

[30]  Umut Rifat Tuzkaya,et al.  A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study , 2008, Inf. Sci..

[31]  Thomas L. Saaty,et al.  The Analytic Network Process – Dependence and Feedback in Decision-Making: Theory and Validation Examples , 2006 .

[32]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[33]  Elahe Shariatmadari Serkani,et al.  Using DEMATEL - Analytic network process (ANP) hybrid algorithm approach for selecting improvement projects of Iranian excellence model in healthcare sector , 2012 .

[34]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[35]  Shih-Jieh Hung,et al.  Activity-based divergent supply chain planning for competitive advantage in the risky global environment: A DEMATEL-ANP fuzzy goal programming approach , 2011, Expert Syst. Appl..

[36]  A. Gunasekaran,et al.  Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995–2004) for research and applications , 2007 .

[37]  C. Waters Global Logistics: New Directions in Supply Chain Management , 2014 .

[38]  Wen Lea Pearn,et al.  Product Mix Optimization for Semiconductor Manufacturing Based on AHP and ANP Analysis , 2005 .