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Virtual Production Intelligence – Process Analysis in the Production Planning Phase

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

Author

Listed:
  • Daniel Schilberg

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Tobias Meisen

    (IMA/ZLW & IfU, RWTH Aachen University)

  • Rudolf Reinhard

    (IMA/ZLW & IfU, RWTH Aachen University)

Abstract

To gain a better and deeper understanding of cause and effect dependencies in complex production processes it is necessary to represent these processes for analysis as good and complete as possible. Virtual production is a main contribution to reach this objective. To use the Virtual Production effectively in this context, a base that allows a holistic, integrated view of information that is provided by IT tools along the production process has to be created. The goal of such an analysis is the possibility to identify optimization potentials in order to increase product quality and production efficiency. The presented work will focus on a simulation based planning phase of a production process as core part of the Virtual Production. An integrative approach which represents the integration, analysis and visualization of data generated along such a simulated production process is introduced. This introduced system is called Virtual Production Intelligence and in addition to the integration possibilities it provides a context-sensitive information analysis to gain more detailed knowledge of production processes.

Suggested Citation

  • Daniel Schilberg & Tobias Meisen & Rudolf Reinhard, 2016. "Virtual Production Intelligence – Process Analysis in the Production Planning Phase," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2015/2016, pages 971-984, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-42620-4_72
    DOI: 10.1007/978-3-319-42620-4_72
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