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Constraints als Schlüssel zu industriellen Konfigurator-Lösungen

Constraints as key to industry configurator solutions

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Zusammenfassung

Moderne industriele Produkte und anlagen sollen viele Leistungsmerkmale bei niedrigen Produktionskosten bieten. Aus einer Menge von Komponenten werden variantenreiche individuelle Anlagen konfiguriert. Konfiguratoren mit Wissensbasen mit Constraints erfüllen diese Anforderungen, was mit großen industriellen Anwendungen gezeigt wurde.

Abstract

Up-to-date products and systems in industry want to offer many features at low production cost. Using a toolbox of components, individual systems with many variants are configured. Configurators using knowledge-bases with constraints fulfil those requirements. This has been shown with large industry applications.

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Schrifttum

  1. Sabin, D., Weigel, R.: Product configuration frameworks — a survey. IEEE Intelligent Systems & their applications (1998), 13 (4), S. 42–49.

    Google Scholar 

  2. Bachant, J., Soloway, E.: The engineering of XCON. Comm. ACM (1989), 32 (3), S. 311–317.

    Google Scholar 

  3. Wright, J. R., Weixelbaum, E. S., Brown, K., Vesonder, G. T., Palmer, S. R., Berman, J. I., Moore, H. G.: A knowledge-based configurator that supports sales, engineering, and manufacturing at AT & T network systems. Proc. 5th IAAI. AAAI Press. 1993.

  4. Juengst, W. E., Heinrich, M.: Using resource balancing to configure modular systems. IEEE Intelligent Systems & their applications (1998), 13 (4), S. 50–58.

    Article  Google Scholar 

  5. Mittal, S., Falkenhainer, B.: Dynamic constraint satisfaction problems. Proc. 8th AAAI. AAAI Press, 1990. S. 25–32.

  6. Stumptner, M., Friedrich, G. E., Haselböck, A.: Generative constraint-based configuration of large technical systems. AI EDAM (1998), 12 (4), S. 307–320.

    Google Scholar 

  7. Fleischanderl, G., Friedrich, G., Haselböck, A., Stumptner, M.: Knowledge-based configuration of switching systems. Proc. 15th Intl. Switching Symposium, 1995, S. 158–162.

  8. Fleischanderl, G., Friedrich, G. E., Haselböck, A., Schreiner, H., Stumptner, M.: Configuring large systems using generative constraint satisfaction. IEEE Intelligent Systems & their applications (1998), 13 (4), S. 59–68.

    Google Scholar 

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Correspondence to G. Fleischanderl.

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Fleischanderl, G., Friedrich, G., Haselböck, A. et al. Constraints als Schlüssel zu industriellen Konfigurator-Lösungen. Elektrotech. Inftech. 118, 349–353 (2001). https://doi.org/10.1007/BF03157838

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  • DOI: https://doi.org/10.1007/BF03157838

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