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Ability of Fuzzy Constraint Networks to reduce the dynamic of changes in product development

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Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

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Abstract

In the product development process, customer requirements as well as constraints concerning the entire product life cycle have to be satisfied. Introducing the concept of Concurrent Engineering (CE), interdependencies of constraint sets increase due to the parallelization of activities. Constraint systems are used to attack this problem. Fuzzy Constraint Networks (FCN) have been introduced to expand the employment of constraint systems to the early phases of the product development process.

Aside of the ability to model and solve constraints of the product development process in a straight forward approach, the capability to handle disturbances (e.g. changes) is needed. In underdamped systems, changes are propagated through the entire system and therefore effect nearly all the decisions made. In this article, a possibility to reduce unnecessary propagation of changes will be discussed. Therefore, a two step application of Fuzzy Constraint Networks is introduced. The two steps consist of a straight forward approach, which takes advantage of the structure of product development processes using phases and milestones, and a stepwise backward propagation used to find valid solutions in case a change occurs.

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Literature

  1. Eversheim, W., Roggatz, A., Zimmermann, H.-J. and Derichs, Th., (1995). ”Kurze Produktentwicklungszeiten durch Nutzung unsicherer Informationen”, it+ti, vol 37., pp. 47–53.

    Google Scholar 

  2. Laufenberg, L. (1995). “Methodik zur integrierten Projektgestaltung für die situative Umsetzung des Simultaneous Engineering”, Dissertation, Aachen, 1995.

    Google Scholar 

  3. Jackson, S., D., Sutton, J., C., Zorowski, C., F. (1993). “Design for Assembly Using Fuzzy Sets”, DE-vol. 52, Design for Manufacturability, ASME, pp. 117–122.

    Google Scholar 

  4. Otto, K., N., Antonsson, E. K., (1994). “Modeling Imprecision in Product Design”, 1994 IEEE International Conference on Fuzzy Systems, vol. 1, pp. 346–351.

    Google Scholar 

  5. Pearce, R., Cowley, P., H., (1996). “Use of Fuzzy Logic to Describe Constraints Derived from Engineering Judgment in Genetic Algorithms”, IEEE Transactions on Industrial Electronics, vol. 43, n. 5, pp. 535–540.

    Google Scholar 

  6. Giachetti, R., E., Young, R., E., Roggatz, A., Eversheim, W., Perrone, G. (1996). “A Methodology for the Reduction of Imprecision in the Engineering Design Process”, to appear in European Journal of Operations Research.

    Google Scholar 

  7. Dechter, R. and Pearl, J., (1988). “Network-Based Heuristics for Constraint-Satisfaction Problems”, Artificial Intelligence, vol. 34, pp. 1–38.

    Google Scholar 

  8. Young, R., E., Giachetti, R., E., Ress, D., A. (1996). “Fuzzy Constraint Satisfaction in design and manufacturing”, IEEE Conference on Fuzzy Systems (Fuzz-IEEE'96), New Orleans, pp. 8–10.

    Google Scholar 

  9. Dubois, D., and Prade, H. (1988). “Possibility Theory”, Plenum Press, New York.

    Google Scholar 

  10. Young, R., E., Eversheim, W., Roggatz, A., Nöller, C. (1995). “Dynamic Change Propagation within Concurrent Engineering System”, Proceedings of the 5th International FAIM Conference, Schaft, Ahmad, Sulivan, Jacobi (editors), Begell House, New York, N.Y., pp. 724–733.

    Google Scholar 

  11. Wildemann, H. (1993). “Optimierung von Entwicklungszeiten: Just-in-Time in Forschung & Entwicklung und Konstruktion”, Transfer-Centrum-Verlag GmbH.

    Google Scholar 

  12. Kleinschmidt, E.; Geschka, H.; Cooper, R. (1996). “Erfolgsfaktor Markt — Kundenorientierte Produktinnovation”, Springer Verlag.

    Google Scholar 

  13. Young, R., E.; Perrone, G.; Eversheim, W.; Roggatz, A.: Fuzzy Constraint Satisfaction for Simultaneous Engineering; Production Engineering Vol. II/2 (1995), S.: 181–184.

    Google Scholar 

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Authors and Affiliations

  1. Laboratory for Machine Tools and Production Engineering Chair of Production Engineering, Aachen University of Technology, 52056, Aachen, Germany

    Walter Eversheim & Axel Roggatz

  2. Workgroup for Intelligent Systems in Design and Manufacturing Department of Industrial Engineering, North Carolina State University, 27695-7906, Raleigh, NC, USA

    Robert E. Young

Authors
  1. Walter Eversheim
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  2. Axel Roggatz
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  3. Robert E. Young
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Editor information

Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Eversheim, W., Roggatz, A., Young, R.E. (1997). Ability of Fuzzy Constraint Networks to reduce the dynamic of changes in product development. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_105

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  • DOI: https://doi.org/10.1007/3-540-62868-1_105

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

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