Abstract
The objective of this article is to show that SEAMLESS, a designed and developed method from PCO Innovation, allows improving PLM approach efficiency by proposing to set up a business/Information System referential. PLM, as a PLM solution, is a software which basically supports product conception and product industrialization business processes (and potentially other upstream and/or downstream business processes). The functional scope may be really wide and the various amounts of subjects are strongly connected to each other. A PLM approach (which seeks to establish a PLM solution in the organization) is basically composed of a program with several projects. Among all PLM approach activities; upstream activities (and specifically specification activities) are absolutely crucial. This kind of approach is, generally, lengthy and complex. Specification activities raise many challenges. They come from a functional positioning (whereas a business one is expected) of user’s requirements and also from the deliverables documentary nature. Looking at what is a business/Information System referential; we observe that it has all the ingredients to avoid misunderstanding of user’s needs and the nature of the document. SEAMLESS is an assisted method to modelize, capture and restitute (graphically and/or textually) the underlying knowledge domain delimitating a set of activities. SEAMLESS allows implementing any knowledge referential by using a generic approach as well as modular and reusable components. By applying SEAMLESS approach on PLM specification activities, we improve PLM approach efficiency.
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Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist (2008)
Chappelet, J.-L., Glassey, O.: Comparaison de trois techniques de modélisation de processus: ADONIS, OSSAD et UML (2002)
Charbonnel, G., Dumas, P.: La Méthode OSSAD pour maîtriser les méthodologies de l’information, Tome 1 : principes (1990)
Guarino, N.: Concepts, Attributes, and Arbitrary Relations (1992)
Hebler, J., Fisher, M., Blace, R., Perez-Lopez, A., Dean, M.: Semantic Web Programming. Wiley (2009)
Kühne, T., Atkinson, C.: Model-driven development: a metamodeling foundation (2003)
Le Duigou, J.: Cadre de modélisation pour les systèmes PLM en entreprise étendue (2010)
Miller, E.: State of the PLM Industry. In: Proceedings of the CIMdata PLM – Conference, Dearborn, USA (2003)
Newell, M., Grashina, N.: Amacom, The Project Management Question and Answer Book (2004)
Partridge, C.: Businesss Object: Re-Engineering For Re-Use, 2nd edn (2005)
Praxème Institute, http://www.praxeme.org/index.php?n=Main.HomePage?userlang=en
Roche, C.: Terminologie conceptuelle versus Terminologie textuelle (2011)
Sirin, E., Parsia, B.: Pellet: An owl dl reasoner (2004)
Sommacal, B.: Outillage support à une méthodologie de cartographie sémantique (2013)
Sowa, J.: Principles of Semantic Networks (1991)
Tricot, C.: Cartographie Sémantique: Des connaissances à la carte (2006)
Vandenbussche, P.-Y., Charlet, J.: Méta-modèle général de description de ressources terminologiques et ontologiques (2009)
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© 2014 IFIP International Federation for Information Processing
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Chabot, B., Gautreau, P., Sommacal, B. (2014). How to Improve PLM Approach Efficiency Based on Knowledge Engineering, Knowledge Management and Semantic Web Technologies Domains?. In: Fukuda, S., Bernard, A., Gurumoorthy, B., Bouras, A. (eds) Product Lifecycle Management for a Global Market. PLM 2014. IFIP Advances in Information and Communication Technology, vol 442. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45937-9_36
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DOI: https://doi.org/10.1007/978-3-662-45937-9_36
Publisher Name: Springer, Berlin, Heidelberg
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