The supplier selection application based on two methods: Vikor algorithm with entropy method and fuzzy topsis with vague sets method

International Journal of Management Science and Engineering Management

Volumn 6, Issue 2, 2011, Pages 109-115

  Wu, Min ^a   Liu, Zhujun ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Entropy method; Fuzzy TOPSIS; Supplier selection; Supply chain management; Vague sets; VIKOR algorithm

Indexed keywords

EID: 84966529590     PISSN: 17509653     EISSN: 17509661     Source Type: Journal    
DOI: 10.1080/17509653.2011.10671152     Document Type: Article

References (26)

1. Bellman, R., and Zadeh, L., 1970. Decision Making in a Fuzzy Environment. Management Science, 17B (4):141–164.
2. Bello, M., 2003. A Case Study Approach to the Supplier Selection Process, Mayaguez campus:University of Puerto Rico. Master’s thesis
3. Chen, C., 2000. Extension of the topsis for Group Decisionmaking under Fuzzy Environment. Fuzzy Sets and Systems, 114:1–9.
4. Christopher, M., 1999. Logistics and Supply Chain Management:Strategies for Reducing Cost and Improving Service (Second Edition). International Journal of Logistics Research and Applications, 2 (1):103–104.
5. Chu M., et al. Comparison among three analytical methods for knowledge communities group-decision analysis Expert Systems with Application 2007 33 4 1011 1024
6. Degraeve, Z., Labro, E., and Roodhoof, F., 2002. An Evaluation of Vendor Selection Models from a Total Cost of Ownership Perspective. European Journal of Operational Research, 125 (1):34–35.
7. Gau, W., and Buehrer, D., 1993. Vague Sets. IEEE Transactions on Systems, Man, and Cybernetics, 23:610–614.
8. Ghodsypour, S., and O’Brien, C., 1998. A Decision Support System for Supplier Selection Using an Integrated Analytic Hierarchy Process and Linear Programming. International Journal of Production Economics, 56 (57):199–212.
9. Hwang, C., and Yoon, K., 1981. Multiple Attributes Decision Making Methods and Applications:a state-of-the-Art Survey, Berlin Heidelberg:Springer.
10. Jadidi O., et al. An Optimal Grey Based Approach Based on TOPSIS Concepts for Supplier Selection Problem International Journal of Management Science and Engineering Management 2008 4 2 104 117
11. Jadidi, O., Hong, T., and Firouzi, F., 2009. Topsis extension for multi-objective supplier selection problem under price breaks. International Journal of Management Science and Engineering Management, 4 (3):217–229.
12. Kasirian M., et al. Application of AHP and ANP in supplier selection process-a case in an automotive company International Journal of Management Science and Engineering Management 2010 5 2 125 135
13. Kumar, M., Vrat, P., and Shankar, R., 2004. Fuzzy Programming Approach for Vendor Selection Problem in Supply Chain. Computer & Industrial Engineering, 46 (1):69–85.
14. Li, G., Yamaguchi, D., and Nagai, M., 2007. A grey based decision making approach to the supplier selection problem. Mathematical and Computer Modelling, 46 (3–4):573–581.
15. Monczka, R., Handfield, R., and Giunipero, L., 2009. Purchasing and Supply Chain Management, forth, Cincinnati:South-Western College Publishing.
16. Opricovic, S., 1998. Multicriteria Optimization of Civil Engineering Systems, Technical report Belgrade
17. Opriumic, S., and Tzeng, G., 2004. Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156 (2):445–455.
18. Roodhooft, F., and Konings, J., 1996. Vendor Selection and Evaluation:Activity Based Costing Approach. European Journal of Operational Research, 96 (1):97–102.
19. Saen, R., 2007. Supplier Selection in the Presence of Both Cardinal and Ordinal Data. European Journal of Operational Research, 183 (2):741–744.
20. Serafim, O., and Tzeng, G., 2004. Compromise Solution by mcdm Methods:A Comparative Analysis of vikor and topsis. European Journal of Operational Research, 156:445–455.
21. Shannon, C., 1948. A Mathematical Theory of Communication. Bell System Technical Journal,:379–423. 623–656.
22. Silvio, G., 2002. Interval topsis for Multicriteria Decision Making. Neural Nets, 89 (2):56–63.
23. Szmidt, E., and Kacprzyk, J., 2000. Distances Between Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 114:505–518.
24. Talluri, S., and Narasimhan, R., 2003. Vendor Evaluation with Performance Variability:A Max-Min Approach. European Journal of Operational Research, 146 (3):543–552.
25. Weber, C., Current, J., and Benton, W., 1991. Vendor Selection Criteria and Methods. European Journal of Operational Research, 50 (1):2–18.
26. Zadeh, L., 1965. “ Fuzzy Sets ”. In Information and Control 338–353.