Optimized Factory Planning and Process Chain Formation Using Virtual Production Intelligence

Max Hoffmann (), Kai Kreisköther, Christian Büscher, Tobias Meisen, Achim Kampker, Daniel Schilberg and Sabina Jeschke
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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

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2013/2014, 2014, pp 881-895 from Springer

Abstract: 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.

Keywords: Digital Factory; Virtual Production; Business Intelligence; Virtual Production Intelligence; Cyber Physical Systems (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-08816-7_69

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DOI: 10.1007/978-3-319-08816-7_69

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