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Generative Planning in a Det Environment

  • Michael F. Zäh
  • Markus Wiedemann
  • Henning Rudolf

Knowledge based methods in the domain of process and factory planning could lead to substantial savings for products with a high number of variants and production facilities. Although knowledge based approaches are already state of the art in the engineering and data management of complex products, these methods have not yet been applied to the planning of processes and production facilities so far. The extension of knowledge based methods to the domain of process and factory planning could lead to substantial savings for products with a high number of variants and production facilities. The objective of this paper is to demonstrate the state of the art in process planning with special focus on a possible integration with factory planning. Based on the literature review and the requirements of modeling data for the domain of process and resource planning, a methodology is derived and a prototypical solution based on commercially available software is demonstrated. The result is a knowledge based planning method for products, processes and the necessary production facilities.

Keywords

Process Planning Production Facility Generative Planning Variant Management Assembly Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Michael F. Zäh
    • 1
  • Markus Wiedemann
    • 1
  • Henning Rudolf
    • 1
  1. 1.Institute for Machine Tools and Industrial Management (iwb)Technische Universität MünchenGermany

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