Skip to main content

Towards Distributed Configuration

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2174))

Abstract

Shorter product cycles, lower prices, and the production of highly variant products tailored to the customer needs are the main reasons for the proceeding success of product configuration systems. However, today’s product configuration systems are designed for solving local configuration tasks only, although the economic development towards webs of highly specialized solution providers demands for distributed problem solving functionality. In this paper we motivate the integration of several configurators and give a formal definition of the distributed configuration task based on a logic theory of configuration. Furthermore, we present a basic architecture comprising several configuration agents and propose an algorithm for cooperation between distributed configuration systems that ensures correctness and completeness of configuration results.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Reference

  1. T.P. Darr and W.P. Birmingham. An Attribute-Space Representation and Algorithm for Concurrent Engineering. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 10(1):21–35, 1996.

    Article  Google Scholar 

  2. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Consistency-based Diagnosis of Configuration Knowledge Bases. In Proceedings of the 14th ECAI, pages 146–150, Berlin, Germany, 2000.

    Google Scholar 

  3. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Distributed Configuration as Distributed Dynamic Constraint Satisfaction. In Proceedings of the 14th IEA/AIE, pages 434–444, Budapest, Hungary, 2001.

    Google Scholar 

  4. G. Fleischanderl, G. Friedrich, A. Haselböck, H. Schreiner, and M. Stumptner. Configuring Large Systems Using Generative Constraint Satisfaction. In B. Faltings and E. Freuder, editors, IEEE Intelligent Systems, Special Issue on Configuration, volume 13,4, pages 59–68. 1998.

    Google Scholar 

  5. H. Garcia-Molina, Y. Papakonstantinou, D. Quass, A. Rajaraman, Y. Sagiv, J. Ullman, V. Vassalos and J. Widom. The TSIMMISApproach to Mediation: Data Models and Languages. Journal of Intelligent Information Systems, 8(2):117–132, 1997.

    Article  Google Scholar 

  6. M. Genesereth, A. Keller and O. Duschka. Infomaster:An Information Integration System. In Proceedings of the 23rd ACM SIGMOD International Conference on Management of Data, pages 539–542, Tucson, Az, USA, 1997.

    Google Scholar 

  7. D. Mailharro.Aclassification and constraint-based framework for configuration. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Special Issue: Configuration design, 12(4):383–397, 1998.

    Google Scholar 

  8. D.L. McGuiness and J.R. Wright. Conceptual Modeling for Configuration: A Description Logic-based Approach. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Special Issue: Configuration design, 12(4):333–344, 1998.

    Google Scholar 

  9. S. Mittal and B. Falkenhainer.Dynamic Constraint Satisfaction Problems. In Proceedings of AAAI 1990, pages 25–32, Boston, MA, 1990.

    Google Scholar 

  10. S. Mittal and F. Frayman. Towards a Generic Model of Configuration Tasks. In Proc. of the 11th IJCAI, pages 1395–1401, Detroit, MI, 1989.

    Google Scholar 

  11. D. Sabin and R. Weigel. Product Configuration Frameworks-A Survey. In E. Freuder B. Faltings, editor, IEEE Intelligent Systems, Special Issue on Configuration, volume 13(4), pages 50–58. 1998.

    Google Scholar 

  12. T. Soininen, E. Gelle and I. Niemelä. A Fixpoint Definition of Dynamic Constraint Satisfaction. In 5th International Conference on Principles and Practice of Constraint Programming-CP’99, pages 419–433, Alexandria, USA, 1999.

    Google Scholar 

  13. M. Yokoo. Distributed Constraint Satisfaction-Foundations of Cooperation in Multi-agent Systems. Springer, Berlin, Germany, 2001

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Felfernig, A., Friedrich, G.E., Jannach, D., Zanker, M. (2001). Towards Distributed Configuration. In: Baader, F., Brewka, G., Eiter, T. (eds) KI 2001: Advances in Artificial Intelligence. KI 2001. Lecture Notes in Computer Science(), vol 2174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45422-5_15

Download citation

  • DOI: https://doi.org/10.1007/3-540-45422-5_15

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42612-7

  • Online ISBN: 978-3-540-45422-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics