Record link: 
http://hdl.handle.net/20.500.12708/29434
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Title: 
Product Lifecycle Management Challenges of CPPS
en
Citation: 
Gerhard, D. (2017). Product Lifecycle Management Challenges of CPPS. In S. Biffl, A. Lüder, & D. Gerhard (Eds.), Multi-Disciplinary Engineering for Cyber-Physical Production Systems. Data Models and Software Solutions for Handling Complex Engineering Projects (pp. 89–110). Springer. https://doi.org/10.1007/978-3-319-56345-9_4
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Publisher DOI: 
10.1007/978-3-319-56345-9_4
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Publication Type: 
Book Contribution - Edited Volume Contribution
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Authors: 
Gerhard, Detlef 
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Organisational Unit: 
E194-01 - Forschungsbereich Information und Software Engineering 
E307-04 - Forschungsbereich Maschinenbauinformatik und Virtuelle Produktentwicklung 
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Published in: 
Multi-Disciplinary Engineering for Cyber-Physical Production Systems. Data Models and Software Solutions for Handling Complex Engineering Projects 
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ISBN: 
978-3-319-56345-9
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DOI of the book: 
10.1007/978-3-319-56345-9
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Date (published): 
2017
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Number of Pages: 
22
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Publisher: 
Springer, Cham
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Keywords: 
PLM; Industrie 4.0; MES; Cyber-Physical Production Systyms; CPS
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Abstract: 
In the chapter Product Lifecycle Management (PLM) Challenges of CPPS, data and information management issues arising from the advanced use of modern product development and engineering methods are addressed. These advanced methods are required for engineering processes of smart systems and individualized products with high complexity and variability. Emphasis is put on challenges of the life-cycle oriented information integration of products and the respective Cyber-Physical Production Systems (CPPS). Furthermore, the chapter addresses data and information management problems coming from integration of the use and operation phase of products and systems in terms of forward and backward information flows.
de
 
In the chapter Product Lifecycle Management (PLM) Challenges of CPPS, data and information management issues arising from the advanced use of modern product development and engineering methods are addressed. These advanced methods are required for engineering processes of smart systems and individualized products with high complexity and variability. Emphasis is put on challenges of the life-cycle oriented information integration of products and the respective Cyber-Physical Production Systems (CPPS). Furthermore, the chapter addresses data and information management problems coming from integration of the use and operation phase of products and systems in terms of forward and backward information flows.
en
Research Areas: 
Business Informatics: 100%
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Science Branch: 
Maschinenbau
Informatik
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Appears in Collections:
Book Contribution

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