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Set Based PLM Implementation, a Modular Approach to PLM Process Knowledge, Management and Automation Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Towards a Proactive Interoperability Solution in Systems of Information Systems: A PLM Perspective

Authors : Zoubida Afoutni, Julien Le-Duigou, Marie-Hélène Abel, Benoit Eynard

Published in: Product Lifecycle Management and the Industry of the Future

Publisher: Springer International Publishing

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Abstract

PLM is an approach which aims to manage a product throughout its life cycle. Today, there are powerful and well-adapted tools for each phase of the product lifecycle, such as CAD (Computer Aided Design), SDM (Simulation Data Management), Enterprise Resource Planning (ERP) etc. However, their complete integration and more particularly the linkage from one phase to another are not yet fully operational and effective. To reach the PLM goal, it is necessary to guarantee the interoperability between the information systems (IS) supported by the business applications throughout the product lifecycle. Also, in the extended enterprise, from one project to another, the applications used for the product development process can change as business partners may change as well. An interoperability solution should be designed taking into account the potentially changing contexts of enterprise cooperation. A possible solution consists in designing the interoperability solution of the PLM systems by adopting the principles of the system of systems (SoS) concept. This work proposes a system of systems of PLM based on multi-agent systems to treat the interoperability, as well as knowledge capitalization issues.

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previous chapter Engineering Knowledge Extraction for Semantic Interoperability Between CAD, KBE and PLM Systems
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Footnotes
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Metadata
Title
Towards a Proactive Interoperability Solution in Systems of Information Systems: A PLM Perspective
Authors
Zoubida Afoutni
Julien Le-Duigou
Marie-Hélène Abel
Benoit Eynard
Copyright Year
2017
Book
Product Lifecycle Management and the Industry of the Future

Print ISBN: 978-3-319-72904-6

Electronic ISBN: 978-3-319-72905-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-72905-3_51

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