A two phase multi-attribute decision-making approach for supplier selection in supply chain management

37th International Conference on Computers and Industrial Engineering 2007

Volumn 1, Issue , 2007, Pages 519-529

  Mahdavi, Iraj ^a   Asadian, Negar ^a   Khavarpour, Mahmoud ^a  

^a DEPARTMENT OF INDUSTRIAL ENGINEERING   (Iran)

Author keywords

Fuzzy sets; Heuristics; Multi attribute utility function; Supplier selection; TOPSIS method

Indexed keywords

HEURISTICS; INTEGRATED APPROACH; MULTI ATTRIBUTE DECISION MAKING; MULTI-ATTRIBUTE UTILITY; MULTI-ATTRIBUTE UTILITY FUNCTION; RISK AND UNCERTAINTY; SUPPLIER SELECTION; TOPSIS METHOD;

DECISION MAKING; FUZZY SETS; INDUSTRIAL ENGINEERING; SUPPLY CHAIN MANAGEMENT;

HEURISTIC METHODS;

EID: 84886000337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. G. Büyüközkan, O. Feyzioǧlu, (2004), "A fuzzylogic- based decision-making approach for new product development", International Journal of Production Economics, Vol 90, pp.27-45.
2. S.J. Chen, C.L. Hwang, (1992), "Fuzzy Multiple Attribute Decision Making Methods and Applications", Springer-Verlag, Berlin.
3. S.H. Chen, (1985), "Ranking fuzzy numbers with maximizing set and minimizing set", Fuzzy Sets and Systems, Vol 17, pp 113-129.
4. T.-C. Chen, (2000), "Extensions of the TOPSIS for group decision-making under fuzzy environment", Fuzzy Sets and Systems, Vol 114, pp 1-9.
5. T.-C. Chu, (2002), " Facility location selection using fuzzy TOPSIS under group decisions", International Journal of Uncertainty, Fuzziness and Knowledge- Based Systems, Vol 10, pp 687-701.
6. T.-C. Chu, Y.-C. Lin, (2003), "A fuzzy TOPSIS method for robot selection", International Journal of Advanced Manufacturing Technology, Vol 21, pp 284- 290.
7. J. Efstathiou, V. Rajkovic, (1979), "Multi-attribute decision-making using a fuzzy heuristic approach", IEEE Transaction on Systems, Man, Cybernetics, Vol 9, pp 326-333.
8. J. Efstathiou, (1980 ), "The incorporation of objective and subjective aspects into the assessment of information systems, in: Lucas, Land, Lincoln, Supper (Eds.)", The Information Systems Environment, North-Holland, pp. 187-197.
9. C.L. Hwang, K. Yoon, ( 1981), " Multiple Attribute Decision Making Methods and Applications", Springer-Verlag, New York, .
10. A. Kaufmann, M.M. Gupta, (1988), "Fuzzy Mathematical Models in Engineering and Management Science", North Holland, .
11. R.L. Keeney, H. Raiffa, ( 1976), "Decisions with Multiple Objectives: Preferences and Value Trade Offs", John Wiley & Sons, New York, .
12. E.S. Lee, R.L. Li, Comparison of fuzzy numbers based on the probability measure of fuzzy events, Computer and Mathematics with Applications 15 (1988) 887-896.
13. G.-S. Liang, Fuzzy MCDM based on ideal and antiideal concepts, European Journal of Operational Research 112 (1999) 682-691.
14. T.S. Liou, M.J.J. Wang, (1992), " Ranking fuzzy numbers with integral value", Fuzzy Sets and Systems, Vol 50, pp 247.
15. H. Markowitz, (1952), "Portfolio selection", The Journal of Finance, Vol 7, pp 77-91.
16. Mahmut Sonmez, (2006), "A Review and Critique of Supplier Selection Process and Practices", Business School Occasional Papers Series: 1 ISBN 1 85901 1977.
17. S.-H. Tsaur, T.-Y. Chang, C.-H. Yen, (2002), " The evaluation of airline service quality by fuzzy MCDM", Tourism Management, Vol 23, pp 107-115.
18. K.P. Yoon, C.L. Hwang, ( 1995), " Multiple Attribute Decision Making: An Introduction", Sage Publications, Thousand Oaks, .
19. L.A. Zadeh, (1965), "Fuzzy sets", Information and Control, Vol 8, pp 338-353.
20. M. Özer, (2005), "Factors which influence decision making in new product evaluation", European Journal of Operational Research, Vol 163, pp 784-801.
21. G. Zhang, J. Lu, (2003), "An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria", Group Decision and Negotiation, Vol 12, pp 501-515.
22. R. Zhao, R. Govind, (1991), " Algebraic characteristics of extended fuzzy numbers", Information Sciences, Vol 54, pp 103-130.