Business and Economic Horizons

  Previous Article | Back to Volume | Next Article
  Abstract | References | Citation | Download | Preview | Statistics
Volume 5
Issue 2
Online publication date 2011-04-18
Title An intelligent modeling method based on genetic algorithm for partner selection in virtual organizations
Author Dinu Simona, Pacuraru Raluca
Abstract The goal of a Virtual Organization is to find the most appropriate partners in terms of expertise, cost wise, quick response, and environment. In this study we propose a model and a solution approach to a partner selection problem considering three main evaluation criteria: cost, time and risk. This multiobjective problem is solved by an improved genetic algorithm (GA) that includes meiosis specific characteristics and step-size adaptation for the mutation operator. The algorithm performs strong exploration initially and exploitation in later generations. It has a high global search ability and a fast convergence rate and also avoids premature convergence. On the basis of the numerical investigations, the incorporation of the proposed enhancements has been successfully proved. 
Ahuja, M., Carley, K., 1999. “Network structure in virtual organizations,” Organization Science, Vol.10(6), pp.741-47.
Al-Khalifa, A., Peterson, S., 1999. “The partner selection process in international joint ventures,” European Journal of Marketing, Vol.33(11/12), pp.1064-1081.
Brucker, P., Drexl, A., Mohring, R., Neumann, K., Pesch, E., 1999. “Resource-constrained project scheduling: Notation, classification, models and methods,” European Journal of Operational Research, Vol.112, pp.3-41.
Bultje, R., van Wijk, J., 1998. ”Typology of virtual organizations, based on definitions, characteristics, and typology,” Virtual Newsletter, Vol.3, pp.7-21.
Byrne, A., 1993. “The virtual cooperation,” Business Week, Vol.8, pp.36-41.
Camarinha-Matos, L., Afsarmanesh, H., Ollus, M., 2005. Virtual organizations: Systems and practices, Springer, Boston.
Dickson, W., 1966. “An analysis of vendor selection systems and decisions,” Journal of Purchasing, Vol.2, pp.5-20.
Dinu, S., Ciucur, V., 2010. “Improved genetic algorithm for dynamic economic dispatch,” 2nd International Conference MEQAPS, Constanta, Romania.
Famuyiwa, O., Monplaisir, L., Nepal, B., 2008. “An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation,” International Journal of Production Economics, Vol.113(2), pp.862-75.
Fischer, M., Jaehn, H., Teich, T., 2004. “Optimizing the selection of partners in production networks,” Robotics and Computer-Integrated Manufacturing, Vol.20, pp.593-601.
Hoogeveegen, M., Teunissen, W., Vervest, P., Wagenaar, R., 1999. “Modular network design: Using information and communication technology to allocate production tasks in a virtual organization,” Decision Sciences, Vol.30(4), pp.1073-103.
Ip, W., Yung, K., Wang, D., 2004. “A branch and bound algorithm for sub- contractor selection in agile manufacturing environment,” International Journal of Production Economics, Vol.87(2), pp.195-205. 
Ko, C., Kim, T., Hwang, H., 2001. “External partner selection using tabu search heuristics in distributed manufacturing,” International Journal of Production Research, Vol.39(17), pp.3959-974.
Li, D., O’Brien, C., 1999. “Integrated decision modeling on supply chain efficiency and effectiveness,” International Journal of Production Economics, Vol.59(1-3), pp.147-57.
Mikhaliov, L., 2002. “Fuzzy analytical approach to partner selection in formation of virtual enterprises,” The International Journal of Management Science, Vol.30, pp.393-401.
Murata, T., Ishibuchi, H., Tanaka, H., 1996. “Multi-objective genetic algorithm and its applications to flowshop scheduling,” Computers  & Industrial Engineering, Vol.30(4), pp.957-68.
Stock, G., Greis, N., Kasarda, J., 2000. “Enterprise logistics and supply chain structure: the role of fit,” Journal of Operations Management, Vol.18, pp.531-47.
Talluri, S., Baker, R., Sarkis, J., 1999. “A framework for designing efficient value chain networks, International Journal of Production Economics,” Vol.62, pp.133-144.
Tatoglu, E., Glaister, K., 2000. “Strategic motives and partner selection criteria in international joint ventures in Turkey: Perspectives of Western firms and Turkish firms,” Journal of Global Marketing, Vol.13(3), pp.53-92.
Yang, D., Kim, S., Nam, C., Min, J., 2007. “Developing a decision model for business process outsourcing,” Computers and Operation Research, Vol.34, pp.3769-778.
Zhong, Y., Jian, L., Zijun, W., 2009. “An integrated optimization algorithm of GA and ACA-based approaches for modeling virtual enterprise partner selection,” SIGMIS Data Base Vol.40(2), pp.37-56.
Wang, J., Yang, D., 2007. “Using a hybrid multi-criteria decision aid method for information system outsourcing,” Computers and Operations Research, Vol. 34, pp.3691-700.
Wu, N., Mao, N., Qian, Y., 1999. “An approach to partner selection in agile manufacturing,” Journal of Intelligent Manufacturing, Vol.10(6), pp.519-29. 
Wu, N., Su, P., 2005. “Selection of partners in virtual enterprise paradigm,” Robotics and Computer-Integrated Manufacturing, Vol.21(2), pp.119-31.

Keywords Virtual organization, partner selection, optimization, genetic algorithm.
Pages 23-34
Download Full PDF Download
  Previous Article | Back to Volume | Next Article
Search in articles
Journal Published articles
BEH 591
Journal Hits
BEH 1213272
Journal Downloads
BEH 43317
Total users online -