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Improving Factory Planning by Analyzing Process Dependencies

In: Automation, Communication and Cybernetics in Science and Engineering 2015/2016

Author

Listed:
  • Christian Büscher

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Hanno Voet

    (WZL, RWTH Aachen University)

  • Tobias Meisen

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Moritz Krunke

    (WZL, RWTH Aachen University)

  • Kai Kreisköther

    (WZL, RWTH Aachen University)

  • Achim Kampker

    (WZL, RWTH Aachen University)

  • Daniel Schilberg

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Sabina Jeschke

    (IMA/ZLW & IfU, RWTH Aachen University)

Abstract

Production companies in high-wage countries face growing complexity in their production conditions due to increasing variance and shorter product lifecycles. To enable the needed flexibility in production with respect to short-term changes, factory planning has to be transparent in such a way that the effects on production are traceable. Therefore, a modular planning approach combined with a continuous information management is necessary. The combination of the approaches of Condition Based Factory Planning and Virtual Production Intelligence provides the basis for an analysis of process dependencies during factory planning projects. This analysis is supposed to increase transparency of information flows and to reach traceability.

Suggested Citation

  • Christian Büscher & Hanno Voet & Tobias Meisen & Moritz Krunke & Kai Kreisköther & Achim Kampker & Daniel Schilberg & Sabina Jeschke, 2016. "Improving Factory Planning by Analyzing Process Dependencies," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2015/2016, pages 813-825, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-42620-4_62
    DOI: 10.1007/978-3-319-42620-4_62
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