MULTI-SITE PRODUCT CONFIGURATION OF TELECOMMUNICATION SWITCHES

Authors

  • Alexander Felfernig
  • Gerhard Friedrich
  • Dietmar Jannach
  • Christian Russ
  • Markus Zanker

DOI:

https://doi.org/10.47839/ijc.1.2.122

Keywords:

Product Configuration, Distributed Artificial Intelligence, eCommerce

Abstract

Knowledge­based product configurators support their users in tailoring configurable products according to their specific demands and these systems have been successfully applied in many industrial sectors over the last decades. However, within today’s networked economy, the complex solutions of fered to the customers are in many cases assembled from configurable sub­products themselves. Within this paper we describe a business case where due to organisational and confidentiality reasons a single­configurator approach is not applicable and several configurators along the supply chain must cooperate in finding correct product configurations and in presenting them to an online customer. We present an algorithm based on Constraint Satisfaction that takes the specific characteristics of the problem domain into account and compare our approach to other work in the field of Distributed Problem Solving. The implementation framework for distributed configuration which is currently developed in the EU­funded project CAWICOMS1 is discussed in the final sections.

References

M. Stumptner. An overview of knowledge­ based configuration, AI Communications 10(2), 1997, 111-­126.

G. Fleis chander l, G. Friedrich, A. Haselbцck, H. Schreiner and M. Stumptner. Configuring Large Systems Using Generative Constraint Satisfaction, IEEE Intelligent Sys­tems, July/August, 1998.

D. Mailharro. A Classification and Constraint­ based Framework for Configuration, AI EDAM, Vol. 12, Cambridge University Press, 1998.

E. Tsang, Foundations of Constraint Sat­isfaction. (Academic Press, 1993).

M. Yokoo. Distributed constraint satisfac­tion ­ foundations of cooperation in multi­agentsystems (Springer, Berlin, Germany, 2001).

L. Ardissono, A. Felfernig, G . Friedrich,D. Jannach, R. Schaefer, M. Zanker. Intelligent Interfaces for Distributed Web­based Product and Service Configuration. Proc. Web Intelligence (WI­2001), Maebashi, Japan, Lecture Notes in Ar­tificial Intelligence, Springer, October, 2001.

A. Felfernig, G. Friedrich and D. Ja­nnach. UML as domain­specific language for the construction of knowledge­based configu­ration systems. Inter­national Journal of Soft­ware Engineering and Knowledge Engineering (IJSEKE), vol. 10 (4), 2000, 449-­469.

S. Mittal, B. Falkenhainer. Dynamic Con­straint Sat isfaction Problems. Proceedings AAAI’90, Boston, MA, 1990, 25-­32.

A. Felfernig, G. Friedrich, D. Jannach, M. Zanker, Towards Distributed Configuration. Proc. KI­2001, Joint German/Austrian Conference on AI, Vienna, Austria, Springer, September, 2001.

U. Junker. Preference­programming for Con­figuration, Proc. IJCAI’01 ­ Configuration Works­hop, Seattle, Wa, August, 2001.

M. Silaghi, D. Sam­Haroud, B. Faltings. Asynchronous Search with Aggregations. Proc. AAAI/IAAI 2000, Austin, TX, 2000, 917­-922.

Y. Hamadi, C. Bessiere, J. Quinqueton. Backtracking in Distributed Constraint Net­works, Proc. ECAI’98, Brighton, UK, John Wiley, 1998, 219­223.

R. Dechter. Enhancement schemes for Constraint Processing: Backjumping, Learning, and Cutset decomposition. Artif icial Intelli­gence, 41(3), Elsevier, 1990, 273­-312.

J. Baget, Y. Tognetti, Backtracking Through Biconnected Components of a Con­straint Graph, Proc. IJCAI’01, AAAI Press. Se­attle, 2001, 291-­296.

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Published

2002-12-31

How to Cite

Felfernig, A., Friedrich, G., Jannach, D., Russ, C., & Zanker, M. (2002). MULTI-SITE PRODUCT CONFIGURATION OF TELECOMMUNICATION SWITCHES. International Journal of Computing, 1(2), 101-107. https://doi.org/10.47839/ijc.1.2.122

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Articles