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Lineare Optimierung für ein Zuschnittproblem in der holzverarbeitenden Industrie — Ein Anwendungsbericht

In: Intelligent Decision Support

Author

Listed:
  • Sören Koch

    (Otto-von-Guericke-Universität Magdeburg)

  • Sebastian König

    (Otto-von-Guericke-Universität Magdeburg)

  • Gerhard Wäscher

    (Otto-von-Guericke-Universität Magdeburg)

Abstract

In this paper the authors present a case study from the wood-processing industry. It focuses on a cutting process in which material from stock is cut down in order to provide the items required by the customers in the desired qualities, sizes and quantities. In particular, two aspects make this cutting process special. Firstly, the cutting process is strongly interdependent with a preceding handling process, which, consequently, cannot be planned independently. Secondly, if the trim loss is of a certain minimum size, it can be returned into stock and used as input to subsequent cutting processes. In order to reduce the cost of the cutting process, a decision support tool has been developed which incorporates a linear programming model as a central feature. The model is described in detail, and experience from the application of the tool is reported.

Suggested Citation

  • Sören Koch & Sebastian König & Gerhard Wäscher, 2008. "Lineare Optimierung für ein Zuschnittproblem in der holzverarbeitenden Industrie — Ein Anwendungsbericht," Springer Books, in: Andreas Bortfeldt & Jörg Homberger & Herbert Kopfer & Giselher Pankratz & Reinhard Strangmeier (ed.), Intelligent Decision Support, pages 33-45, Springer.
    • Handle: RePEc:spr:sprchp:978-3-8349-9777-7_3
    DOI: 10.1007/978-3-8349-9777-7_3
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