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Optimized Factory Planning and Process Chain Formation Using Virtual Production Intelligence

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Max Hoffmann

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Kai Kreisköther

    (RWTH Aachen University, Manfred-Weck Haus, Werkzeugmaschinenlabor WZL)

  • Christian Büscher

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Tobias Meisen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Achim Kampker

    (RWTH Aachen University, Manfred-Weck Haus, Werkzeugmaschinenlabor WZL)

  • Daniel Schilberg

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

The increasing complexity of products creates new challenges in production planning. Hence, the methodology of process development has to be designed valuable. An innovative approach to reach efficient planning consists in the virtualization of planning processes. The concept of the “Digital Factory” enables a preliminary evaluation of the planning success. In the present work, a framework is presented, which allows for the integration of dedicated applications into an integrative data model to gain a holistic mapping of the production. Using Intelligence approaches, data can be analyzed to provide decision support and optimization potentials. The advantages involved are demonstrated by a production structure planning approach in connection with a process chain optimization.

Suggested Citation

  • Max Hoffmann & Kai Kreisköther & Christian Büscher & Tobias Meisen & Achim Kampker & Daniel Schilberg & Sabina Jeschke, 2014. "Optimized Factory Planning and Process Chain Formation Using Virtual Production Intelligence," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 881-895, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_69
    DOI: 10.1007/978-3-319-08816-7_69
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