An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises

International Journal of Production Research

Volumn 50, Issue 8, 2012, Pages 2286-2303

  Niu, S H ^a   Ong, S K ^a   Nee, A Y C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

ACO; partner selection; virtual enterprise

Indexed keywords

ACO; ACO ALGORITHMS; ANT COLONIES; COMPUTING TIME; GLOBAL COMPETITION; GLOBAL ECONOMIES; MANUFACTURING PARADIGM; MULTI-ATTRIBUTES; OPTIMISATIONS; PARTNER SELECTION; SEARCH ACCURACY; SMALL AND MEDIUM-SIZED ENTERPRISE; TIGHTLY-COUPLED; VIRTUAL ENTERPRISE;

ARTIFICIAL INTELLIGENCE; COMPETITION; VIRTUAL CORPORATION;

ALGORITHMS;

EID: 84861417648     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.578158     Document Type: Article

References (33)

1. Bu, Y., Zhou, W. and Yu, J., 2008. A discrete pso algorithm for partner selection of virtual enterprise. In: The 2nd International Symposium on Intelligent Information Technology Application. Shanghai, China: IEEE, 814-817.
2. Buyukozkan, G., 2004. Multi-criteria decision making for e-marketplace selection. Internet Research: Electronic Networking Applications and Policy, 14 (2), 139-154.
3. Chan, F.T.S., et al., 2008. Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46 (14), 3825-3857.
4. Chang, D.-Y., 1996. Applications of the extent analysis method on fuzzy ahp. European Journal of Operational Researchuropean Journal of Operational Research, 95 (3), 649-655.
5. Che, Z.H., 2009. Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering weee/rohs directives. International Journal of Production Research. Available from: http:// www.informaworld.com/10.1080/00207540802702080 [Accessed 19 February 2010].
6. Chen, S.-H., Lee, H.-T., and Wu, Y.-F., 2008. Applying anp approach to partner selection for strategic alliance. Management Decisionanagement Decision, 46 (3), 449-65.
7. Colorni, A., Dorigo, M., and Maniezzo, V., 1992. Distributed optimization by ant colonies. In: F.J. Varela and P. Bourgine, eds. Proceedings of the 1st European Conference on Artificial Life. Paris: MIT Press, 134-142.
8. Crispim, J.A. and de Sousa, J.P., 2009. Partner selection in virtual enterprises: a multi-criteria decision support approach. International Journal of Production Researchnternational Journal of Production Research, 47 (17), 4791-4812.
9. Crispim, J.A. and de Sousa, J.P., 2010. Partner selection in virtual enterprises. International Journal of Production Researchnternational Journal of Production Research, 48 (3), 683-707.
10. Dorigo, M., Birattari, M., and Stutzle, T., 2006. Ant colony optimization: artificial ants as computational intelligence technique. IEEE Computational Intelligence Magazine, 1 (4), 28-39.
11. Dorigo, M., Di Caro, G., and Gambardella, L.M., 1999. Ant algorithms for discrete optimization. Artificial Life, 5 (2), 137-172.
12. Dorigo, M., Maniezzo, V., and Colorni, A., 1996. Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 26 (1), 29-41.
13. Drissen-Silva, M.V. and Rabelo, R.J., 2009. A collaborative decision support framework for managing the evolution of virtual enterprises. International Journal of Production Research, 47 (17), 4833-4854.
14. Famuyiwa, O., Monplaisir, L., and Nepal, B., 2008. An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation. International Journal of Production Economics, 113 (2), 862-875.
15. Fischer M., Jahn, H., and Teich, T. 2004. Optimizing the selection of partners in production networks. Robotics and Computer-Integrated Manufacturing 20 (6 593-601.
16. Hajidimitriou, Y.A. and Georgiou, A.C., 2002. A goal programming model for partner selection decisions in international joint ventures. European Journal of Operational Research, 138 (3), 649-662.
17. Ip, W.H., et al., 2003. Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise. Computers and Operations Research, 30 (2), 213-231.
18. Ip, W.H., Yung, K.L., and Dingwei, W., 2004. A branch and bound algorithm for sub-contractor selection in agile manufacturing environment. International Journal of Production Economics, 87 (2), 195-205.
19. Jarimo, T. and Salo, A., 2009. Multicriteria partner selection in virtual organizations with transportation costs and other network interdependencies. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 39 (1), 124-129.
20. Niu, S.H., Ong, S.K. and Nee, A.Y.C., 2009. A multi-agent based dynamic scheduling framework for virtual enterprises. In: 4th International Conference on Advanced Research in Virtual and Rapid Prototyping (VR@P). Polytechnic Institute of Leiria, Leiria. London: Taylor and Francis, 587-593.
21. Percin, S., 2008. Use of fuzzy ahp for evaluating the benefits of information-sharing decisions in a supply chain. Journal of Enterprise Information Management, 21 (3), 263-284.
22. Sari, B., Sen, T., and Kilic, S.E., 2008. Ahp model for the selection of partner companies in virtual enterprises. International Journal of Advanced Manufacturing Technology, 38 (3-4), 367-376.
23. Timothy, J.R., 2010. Fuzzy logic with engineering applications. 3rd ed. Hoboken, NJ: Wiley.
24. Wang, T.C. and Chen, Y.H., 2007. Applying consistent fuzzy preference relations to partnership selection. Omega, 35 (4), 384-388.
25. Wang, Z.J., Xu, X.F., and Zhan, D.C., 2009. Genetic algorithm for collaboration cost optimization-oriented partner selection in virtual enterprises. International Journal of Production Research, 47 (4), 859-881.
26. Wu, N. and Su, P., 2005. Selection of partners in virtual enterprise paradigm. Robotics and Computer-Integrated Manufacturing, 21 (2), 119-131.
27. Yager, R.R., 1980. On a general class of fuzzy connectives. Fuzzy Sets and Systems, 4 (3), 235-242.
28. Yao, Z., Pan, R., and Lai, F., 2009. Improvement of the fusing genetic algorithm and ant colony algorithm in virtual enterprise partner selection problem. In: M. Burgin, et al., eds. 2009 World Congress on Computer Science and Information Engineering. Los Angeles, CA: IEEE Computer Society, 242-246.
29. Ye, F. and Li, Y.-N., 2009. Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information. Expert Systems with Applications, 36 (5), 9350-9357.
30. Zadeh, L.A., 1965. Fuzzy sets. Information and Control, 8 (3), 338-353.
31. Zeng, Z.-B., Li, Y., and Zhu, W., 2006. Partner selection with a due date constraint in virtual enterprises. Applied Mathematics and Computation (New York), 175 (2), 1353-1365.
32. Zhao, Q., Zhang, X., and Xiao, R., 2008. Particle swarm optimization algorithm for partner selection in virtual enterprise. Progress in Natural Science, 18 (11), 1445-1452.
33. Zimmermann, H.-J., 1991. Fuzzy set theory and its applications. 2nd ed. Boston: Kluwer Academic Publishers.