Abstract
In view of inconsistency of the judgment matrix obtained by pairwise comparison between increasing alternatives in virtual enterprise (VE) partner selection and evaluation problem by the Analytic Hierarchy Process (AHP), a new Web-based fuzzy-AHP method is proposed, in which the priority weights of decision criteria at every hierarchy are identified by the AHP and attribute-values of every alternative are determined by the fuzzy relation matrix, then they are converged to the solution. An prototype system based on this method has been developed, and a case study is used to demonstrate its practicability and effectiveness. The results indicate that the proposed method makes it easier for decision-makers to arrive at a consensus decision, obtain fair and reasonable conclusions and examine the strengths and weaknesses of alternatives in terms of each criterion. In addition, this method is suited to eliminating the drawbacks of existing traditional partner selection approaches or other AHP-based methods.
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References
Maggie, C.Y., Rao, V.M.: An Application of the AHP in Vendor Selection of a Telecommunications System. Omega 29, 171–182 (2001)
Wang, J.S., Wang, T.M., Hu, Y.G.: Study of a Supplier Evaluation Model with Fuzzy Analytic Hierarchy Process. Microelectronics and Computer 18, 59–64 (2001)
Yu, C.S.: A GP-AHP Method for Solving Group Decision-Making Fuzzy AHP Problems. Computer and Operation Research 29, 1969–2001 (2002)
Wang, R.X., Ruo, Q., Zhu, M.Q.: Study on Partners Selection Modeling in Virtual Enterprise. Chinese Journal of Mechanical Engineering 38, 28–30 (2002)
Ossadnik, W.: AHP-based Synergy Allocation to Partners in a Merger. European Journal of Operational Research 88, 42–49 (1996)
Nydick, R., Hill, R.: Using the AHP to Structure the Supplier Selection Procedure. Journal of Purchasing and Materials Management 25, 31–36 (1992)
Talluri, S., Baker, R., Sarkis, J.: A Framework for Designing Efficient Value Chain Networks. International Journal on Production Economics 62, 133–144 (1999)
Liu, X.X.: Selection and Judgment. Shanghai Popularization Science Press, Shanghai (1990)
Kanet, J.: Application of IT to a Virtual Enterprise Broker. International Journal on Production Economics 62, 23–32 (1999)
Jagdev, H., Browne, J.: The Extended Enterprise – a Context for Manufacturing. Production Planning and Control 9, 216–229 (1998)
Papazoglou, M., Ribbers, P.: Integrated Value Chains and Their Applications Form a Business and Technology Standpoint. Decision Support Systems 29, 323–342 (2000)
Meada, L., Liles, D., Sarkis, J.: Justifying Strategic Alliances and Partnering: a Prerequisite for Virtual Enterprise. Omega 25, 29–42 (1997)
Chen, J.H., Wang, Y.L., Shun, L.Y.: Study on the Processes and Methods of Partner Selection in Virtual Organization. Systems Engineering –Theory and Practice 27, 48–53 (2001)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Grawford, G., Williams, C.A.: A Note on the Analysis of Subjective Judgment Matrices. Journal of Mathematical Psychology 29, 387–405 (1985)
Hu, Y.H., He, S.H.: Synthetic Evaluation Methods. Science Press, Beijing (2000)
Nebojsa, V.: Two Direct Methods in Linear Programming. European Journal of Operational Research 131, 417–439 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Cao, J., Ye, F., Zhou, G. (2005). A Web-Based Fuzzy-AHP Method for VE Partner Selection and Evaluation. In: Shen, W., Lin, Z., Barthès, JP.A., Li, T. (eds) Computer Supported Cooperative Work in Design I. CSCWD 2004. Lecture Notes in Computer Science, vol 3168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11568421_27
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DOI: https://doi.org/10.1007/11568421_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29400-9
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