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

Studies in Fuzziness and Soft Computing

Volumn 313, Issue , 2014, Pages 143-165

  Senvar, Ozlem ^a   Tuzkaya, Umut Rifat ^b   Kahraman, Cengiz ^b  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

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

Indexed keywords

EID: 84958528389     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-53939-8_7     Document Type: Article

References (42)

1. Brewer, P.C., Speh, T.W.: Using the balanced scorecard to measure supply chain performance. J. Bus. Logistics 21(1), 75-93 (2000)
2. Buyukozkan, G., Ciftci, G.: A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst. Appl. 39, 3000-3011 (2012)
3. Chan, F.T.S.: Performance measurement in a supply chain. Int. J. Adv. Manuf. Technol. 21(7), 534-548 (2003)
4. Chan, F.T.S., Qi, H.J.: An innovative performance measurement method for supply chain management. Supply Chain Manag. Int. J. 8(3), 209-223 (2003)
5. Chang, S.-L., Wang, R.-C., Wang, S.-Y.: Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. Int. J. Prod. Econ. 100(2), 348-359 (2006)
6. Chen, S.J., Hwang, C.L., Hwang, F.P.: Fuzzy multiple attribute decision making: methods and applications. Lect. Notes Econ. Math. Syst. 375, 289-486 (1992)
7. Chen, Y.-C.: An application of fuzzy set theory to the external performance evaluation of distribution centers in logistics. Soft Comput. 6(1), 64-70 (2002)
8. Chung, S.H., Lee, A.H., Pearn, W.L.: Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. Int. J. Adv. Manuf. Technol. 25, 1144-1156 (2005)
9. Cooper, M., Lambert, D.: Issues in supply chain management. Ind. Mark. Manage. 29(1), 65-83 (2000)
10. El-Baaz, M.A.: Fuzzy performance measurement of a supply chain in manufacturing companies. Expert Syst. Appl. 38, 6681-6688 (2011)
11. Estampe, D., Lamouri, S., Paris, J.-L., Djelloul, S.B.: A framework for analysing supply chain performance evaluation models. Int. J. Prod. Econ. 142(2), 247-258 (2013)
12. Forker, L.B., Mendez, D., Hershauer, J.C.: Total quality management in the supply chain: what is its impact on performance? Int. J. Prod. Res. 35(6), 1681-1701 (1997)
13. Estampe, D., Lamouri, S., Paris, J.-L., Djelloul, S.B.: A framework for analysing supply chain performance evaluation models. Int. J. Prod. Econ. 142(2), 247-258 (2013)
14. Ganga, G.M.D., Carpinetti, L.C.R.: A fuzzy logic approach to supply chain performance management. Int. J. Prod. Econ. 134(1), 177-187 (2011)
15. Gunasekaran, A., Patel, C., Tirtiroglu, E.: Performance measures and metrics in a supply chain environment. Int. J. Oper. Prod. Manage. 21(1/2), 71-87 (2001)
16. Gunasekaran, A., Kobu, B.: Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995-2004) for research and applications. Int. J. Prod. Res. 45(12), 2819-2840 (2007)
17. Herat, A.T., Noorossama, R., Parsa, S., Serkani, E.S.: Using DEMATEL-analytic network process (ANP) hybrid algorithm approach for selecting improvement projects of Iranian excellence model in healthcare sector. Afr. J. Bus. Manage. 6(2), 627-645 (2012)
18. Hung, S.J.: Activity-based divergent supply chain planning for competitive advantage in the risky global environment: a DEMATEL-ANP fuzzy goal programming approach. Expert Syst. Appl. 38(8), 9053-9062 (2011)
19. Kahraman, C., Ates, N.Y., Cevik, S., Gulbay, M., Erdogan, S.A.: Hierarchical fuzzy TOPSIS model for selection among logistics information technologies. J. Enterp. Inf. Manage. 20(2), 143-168 (2007)
20. Kaplan, R.S., Norton, D.P.: The balanced scorecard-measures that drive performance. Harvard business review January-February, p. 71 (1992)
21. Lapide, L.: True measures of supply chain performance. Supply Chain Manage. Rev. 4(3), 25-28 (2000)
22. Lau, H.C.W., Pang, W.K., Wong, C.W.Y.: Methodology for monitoring supply chain performance: a fuzzy logic approach. Logistics Inf. Manag. 15(4), 271-280 (2002)
23. Mehrjerdi, Y.Z.: Excellent supply chain management. Assem Autom. 29(1), 52-60 (2009)
24. Mohanty, R.P., Agarwal, R., Choudhury, A.K., Tiwari, M.K.: A fuzzy ANP-based approach to R&D project selection: a case study. Int. J. Prod. Res. 43(24), 5199-5216 (2005)
25. Onut, S., Tuzkaya, U.R., Torun, E.: Selecting container port via a fuzzy ANP-based approach: a case study in the marmara region. Turk. Transp. Policy 18(1), 182-193 (2011)
26. Ramik, J.: A decision system using ANP and fuzzy inputs. In: 12th International Conference on the Foundadtions and Applications of Utility, Risk and Decision Theory, Roma (2006)
27. Saaty, T.L.: Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh (1996)
28. Saaty, T.L., Vargas, L.G.: Diagnosis with dependent symptoms: bayes theorem and the analytic network process. Oper. Res. 46(4), 491-502 (1998)
29. Saaty, R.W.: Decision making in complex environment: the analytic hierarchy process (AHP) for decision making and the analytic network process (ANP) for decision making with dependence and feedback (2003)
30. Saaty, T.L.: The analytic network process: Dependence and feedback in decision making (Part 1) theory and validation examples. In: MCDM 2004, Whistler, B.C., Canada, August 6-11 (2004)
31. Seyedhosseini, S.M., Taleghani, A.E., Bakhsha, A., Partovi, S.: Extracting leanness criteria by employing the concept of balanced scorecard. Expert Syst. Appl. 38, 10454-10461 (2011)
32. Stefanovic, N., Stefanovic, D.: Supply chain performance measurement system based on scorecards and web portals. ComSIS 8(1), 167-192 (2011). doi:10.2298/CSIS090608018S
33. Tuzkaya, U.R., Önüt, S.: A fuzzy analytic network process based approach to transportationmode selection between Turkey and Germany: a case study. Inf. Sci. 178(15), 3133-3146 (2008)
34. Tuzkaya, U.R., Yilmazer, K.B., Tuzkaya, G.: Location selection of emergency logistics centers using an integrated dematel-ANP approach. In: The 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making, Istanbul, Turkey (2012)
35. Tzeng, G.H., Huang, J.J.: Multiple attribute decision making. NewYork, CRC Press, 978-1-4398- 6157-8 (2011)
36. Waters, C.D., Waters, D.: Global Logistics: New Directions in Supply Chain Management. Kogan Page, London (2007)
37. Wu, H.H., Shieh, J.I., Li, Y., Chen, H.K.: A combination of AHP and DEMATEL in evaluating the criteria of employment service outreach program personnel. Info. Tech. J. 9(3), 569-575 (2010)
38. Yamin, S., Gunasekaran, A., Mavondo, F.T.: Relationship between generic strategies, competitive advantage and organizational performance: an empirical analysis. Technovation 19(8), 507-551 (1999)
39. Yang, J.L., Tzeng, G.-H.: An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Syst. Appl. 38, 1417-1424 (2011)
40. Yu, R., Tzeng, G.H.: A soft computing method for multi-criteria decision making with dependence and feedback. Appl. Math. Comput. 180, 63-75 (2006)
41. Zadeh, L.: Fuzzy Sets. Inf. Control 8, 338-358 (1965)
42. Zadeh, L.: A fuzzy-algorithmic approach to the definition of complex or imprecise concepts. Int. J. Man Mach. Stud. 8, 249-291 (1976)