A Modular Factory Planning Approach Based on Vertical Integration of the Information Flow

Max Hoffmann (), Tobias Meisen, Daniel Schilberg and Sabina Jeschke
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Max Hoffmann: RWTH Aachen University, IMA/ZLW & IfU
Tobias Meisen: RWTH Aachen University, IMA/ZLW & IfU
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 845-852 from Springer

Abstract: Abstract The increasing complexity of products and consumer interests is facing more and more challenges to production planning. An innovative approach, which facilitates efficient planning, is represented by a model-based approach using the concept of the Digital Factory. In order to realize the vision of virtual production, modular solutions like simulations or optimization tools are merged into a holistic model that provides a digital mapping of the entire production process. In this work, a framework is described, which is capable to integrate planning modules by using an integrative information model. Based on intelligence approaches, multiple data is linked to reach a vertical integration of the information flow. These cross-linked data structures facilitate a consolidation of data from different levels of the production monitoring and management layers. The provided information is used to establish decision support systems, which enable an entirely holistic factory planning. The advantages of the approach are demonstrated by a process chain formation use case.

Keywords: Virtual Production Intelligence; Factory Planning; Digital Factory; Data Mining (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_66

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DOI: 10.1007/978-3-319-08816-7_66

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