Abstract
Through the situation today it is necessary that small and medium sized enterprises collaborate in so-called collaborative operation network. In the center of interest is the development of a virtual enterprise model which is based on small collaborative cells in so-called operation centers. Thus, the concentration on the core competences is supported and the market power is increased by the help of the collaborative operation networks. The automated selection of the partners is the major problems in virtual enterprises. In the paper, a method for choosing the most capable operation centers for every order is designed. The selected operation centers fulfill the tasks of a value chain particularly well. Within the approach, the problem will be solved by Ant Colony Optimization in combination with the Analytical Hierarchy Process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Neubert, R., Langer, O., Görlitz, O., Benn, W.: Virtual Enterprises - Challenges from a Database Perspective. In: Orlowska, M.E., Yoshikawa, M. (eds.) Proc. of the Workshop on Information Technology for Virtual Enterprises ITVE, vol. 23 (2001)
Tich, T., Zschorn, L.: Management of Production Networks-A New Approach to Work with Probabilities of Delivery. In: Dresden.: Germany Proceedings of the 12th International Conference on Flexible Automation & Intelligent Manufacturing, vol. 12, pp. 762–771 (2002)
Teich, T., Fischer, M.: A New Ant Colony Algorithm for the Job Shop Scheduling Problem. In: Francisco, S. (ed.) California Proceedings of the Genetic and Evolutionary Computation Conference, pp. 803–812 (2001)
Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill, New York, NJ (1980)
Atkin, R., Casti, J.: Polyhedral Dynamics and Geometry of Systems. Laxenburg, Austria. International Institute for Applied Systems Analysis (IIASA), pp. 77–106 (1977)
Ho, C.T.: Strategic Evaluation of Emerging Technologies in the Semiconductor Foundry Industry. Portland State University, 251–278 (2004)
Saaty, T.L.: How to Mark a Decision: the Analytic Hierarchy Process. European Journal of Operational Research 48, 9–26 (1990)
Yurdakul, M.: AHP as a Strategic Decision Making Tool to Justify Machine Tool Selection. Journal of Materials Processing technology 146, 365–376 (2004)
Dorigo, M., DiCaro, G.: The Ant Colony Optimization Meta-heuristic. In: New ideas in optimization. New York (1999)
Bonabeau, E., Dorigo, M.: Swarm Intelligence-From Natural to Artificial Systems. Oxford University press, New York (1999)
Dorigo, M., Gambardella, L.: Ant Colonies for the Traveling Salesman Problem. BioSystems, 73–81 (1997)
Maniezzo, V., Colorni, A.: The Ant System Applied to the Quadratic Assignment Problem. IEEE Trans Knowledge Data Eng, 769–778 (1999)
Stuetzle, T., Dorigo, M.: ACO Algorithms for the Quadratic Assignment Problem. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas Optimzation, McGraw-Hill, New York (1999)
Bullnheimer, B., Hartl, R., Strauss, C.: Applying the Ant System to the Vehicle Routing Problem. In: Voss, S., Martello, S., Osman, I., Roucairol, C. (eds.) Meta-heuristics: Advances and Trends in Local Search Paradigms for Optimization, pp. 285–296. Kluwer, Dordrecht (1999)
Gambardella, L., Taillard, E., Agazzi, G.: MACS-VRPTW a Multiple Ant Colony System for Vehicle Routing Problems with Time Windows. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 63–76. McGraw-Hill, New York (1999)
Caro, G., Dorigo, M.: Ant Colonies for Adaptive Routing in Packetswitched Communication Networks. In: Presented at fifth International Conference on Parallel Problem Solving from Nature (PPSN V), Amsterdam, The Netherlands (1998)
Costa, D., Hertz, A.: Ants can Color Graphs. J Oper Res Soc, 295–305 (2003)
Schoofs, L., Naudts, B.: Ant Colonies are Good at Solving Constraint Satisfaction Problems. In: Presented at Proceedings of 2000 Congress on Evolutionary Computation, San Diego, USA (2000)
Wagner, I.A., Bruckstein, A.M.: Hamiltonian(t)—an Ant Inspired Heuristic for Recognizing Hamiltonian Graphs. In: Presented at Proceedings of 1999 Congress on Evolutionary Computation, Washington (2003)
Besteb, M., Stutzle, T., Dorigo, M.: Ant Colony Optimization for the Total Weighted Tardiness Problem. In: Presented at sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), Berlin (2000)
Zhao, F., Hong, Y., Yu, D.: A Multi-objective Optimization Model of the Partner Selection Problem in a Virtual Enterprise and Its Solution with Genetic Algorithms. In: Advantage Manufacture Technology, 28, 1246–1253 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kang, K., Zhang, J., Xu, B. (2007). Optimizing the Selection of Partners in Collaborative Operation Networks. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_87
Download citation
DOI: https://doi.org/10.1007/978-3-540-74205-0_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
Online ISBN: 978-3-540-74205-0
eBook Packages: Computer ScienceComputer Science (R0)