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Cyber Physical Production Control

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Book cover Industrial Internet of Things

Part of the book series: Springer Series in Wireless Technology ((SSWT))

Abstract

Cyber Physical Production Control One major problem of today’s producing companies is to reach a high adherence to delivery dates while considering the volatile market situation as well as economic aspects. This problem can only be solved by using a production control that is optimally adapted to the processes. A good working, process-oriented production control is essential for being able to control the production situation and to ensure a high adherence to delivery dates. Data generation and processing determine the success of production control. Current processes and IT systems have several shortcomings in meeting these challenges. The solution for this problem is the so called “cyber physical production control” (CPPC). It optimally supports the production scheduler in his decision making process based on real-time high-resolution data. With the help of data analytics, the production controller receives decision support over various steps. Due to CPPC, the overall goal of a high adherence to delivery dates can be fundamentally increased.

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Acknowledgments

The authors would like to thank the German Research Foundation DFG for the kind support within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”.

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Authors and Affiliations

  1. Institute for Industrial Management (FIR), RWTH Aachen University, Campus-Boulevard 55, 52074, Aachen, Germany

    V. Stich, M. Blum, J. Reschke & D. Schiemann

  2. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Steinbachstr. 19, 52074, Aachen, Germany

    Autoren G. Schuh, C. Reuter, F. Brambring & T. Hempel

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  1. Autoren G. Schuh
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  2. V. Stich
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  3. C. Reuter
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Corresponding author

Correspondence to T. Hempel .

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Editors and Affiliations

  1. RWTH Aachen University, Aachen, Germany

    Sabina Jeschke

  2. RWTH Aachen University, Aachen, Germany

    Christian Brecher

  3. West Virginia University, Montgomery, West Virginia, USA

    Houbing Song

  4. Howard University, Washington, District of Columbia, USA

    Danda B. Rawat

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Schuh, A.G. et al. (2017). Cyber Physical Production Control. In: Jeschke, S., Brecher, C., Song, H., Rawat, D. (eds) Industrial Internet of Things. Springer Series in Wireless Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-42559-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-42559-7_21

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