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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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Metadaten
Author:Günther SchuhORCiDGND, Volker StichORCiDGND, Christina Reuter, Matthias BlumGND, Felix Brambring, T. Hempel, Jan ReschkeGND, Dennis Schiemann
URL:https://link.springer.com/chapter/10.1007/978-3-319-42559-7_21
DOI:https://doi.org/10.1007/978-3-319-42559-7_21
ISBN:978-3-319-82608-0
ISSN:2365-4139
Parent Title (English):Industrial Internet of Things: Cybermanufacturing Systems
Publisher:Springer
Place of publication:Cham [u. a.]
Editor:Sabina Jeschke, Christian Brecher, Houbing Song, Danda B. Rawat
Document Type:Part of a Book
Language:English
Date of Publication (online):2023/05/04
Date of first Publication:2016/10/13
Release Date:2023/05/04
Tag:Cyber physical production control; Data analytics; Decision support
First Page:519
Last Page:539
FIR-Number:SV6821
Institute / Department:FIR e. V. an der RWTH Aachen
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften

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