Post doc Advisor
Marie-Hélène Abel, Maître de conférences, HDR
Tel +33 3 44 23 49 50, marie-helene.abel@utc.fr
Benoît Eynard, Enseignant Chercheur HDR
Tel +33 3 44 23 79 67, benoit.eynard@utc.fr
Context of the study
The thesis is part of the project activities of the Laboratory of Excellence (LABEX) at the Université de Technologie de Compiègne (UTC) in France on the Control of Technological Systems of Systems (MS2T) (www.utc.fr/labexms2t).
The PLM system (Product Lifecycle Management)() enables the management and capitalization of product data and information along the entire product lifecycle. Only storing data and information is not always enough, therefore knowledge needs also to be considered by the PLM approach. In enterprise context, the purpose of PLM is to enable product data and knowledge sharing between different stakeholders and phases of product lifecycle (design, production, sales, deliver, after sales, recycle, disposal). Product information and knowledge are heterogeneous as they result from various systems. PLM systems are implemented as Entreprise Information Systems (EIS) or System of Systems which allows communication and interconnection between the systems used along the product lifecycle. Therefore, a PLM system has to ensure information consistency and to avoid information duplication.
A common reference (backbone) based on ontologies may enable interoperability of EIS systems. As stated in (Uschold, 1996), the role of ontologies is to assist information exchanges between people and organizations, achieve interoperability between systems and improve systems engineering. Previous work shows that using ontologies to support PLM is a worthwhile approach (Matsokis and Kiritsis, 2010), (Matta et al., 2011), (Assouroko et al. 2012).
The PLM approach may also be considered for the extended enterprise (a network of firms collaborating in a project to achieve a common goal). Firms in the extended enterprise are autonomous and they have their own EIS. It is therefore necessary to enable interoperation between these EIS in order to define the strategy of the extended enterprise and the flexibility needed for the integration or exclusion of a partner company. The challenge lies in the capacity to guarantee the autonomy of the interacting systems while ensuring their interoperability in extended enterprise context.
The MEMORAe approach defines a model and environment (E-MEMORAe2.0) for knowledge management. This approach is generic enough to enable its use in a wider spectrum of applications. MEMORAe uses an ontology-based reference to support knowledge capitalization. Knowledge may be accessed from different workspaces and according to different viewpoints and is made available to the right stakeholders taking into account the context (or the need of each stakeholder). The MEMORAe-core model may therefore be used to answer to some of the before-mentioned requirements of an ontology-based PLM. Further extension of the MEMORAe model will be necessary in order to take into account all the characteristics of a PLM system. A first model dedicated to the analysis of a customer’s « request for proposal » in early phases of product development was implemented (Penciuc et al., 2012) (Penciuc, 2012).
The contribution of a PLM approach to the engineering activities during the development of complex systems was studied by (Assouroko 2012) and (Mahut-Glatard et al., 2012). The extended CPM model provides the basis for the alignment of the ontologies dedicated to requirements engineering, mechanical design and numerical simulation (Assouroko 2012).
Post doc description
The research will include :
State of the art on ontologies and models supporting PLM ; situate MEMORAeCore and extended CPM models in the context of the studied research literature.
Definition of an ontological model resulting from the alignment of previously studied models.
Investigation of the possibility to integrate and use the ontological model inside the MEMORAe2.0 platform and define, where necessary, the new functionalities to develop.
This research is related to the 1.2 topic of the 1st Labex axis on « Distributed information processing ».
Candidate’s profile
Knowledge or competences required in :
Semantic computing
Ontology
Web development
PLM
Documents required to apply
Send to marie-helene.abel@utc.fr
Curriculum vitae
Motivation letter
A statement of research experience and interests
At least two references and/or recommendation letters
At least two significative papers (peer reviewed journal)
The position will start a soon as possible. The duration of the position is one year, an extension to two years is possible.
Location
Laboratory Heudiasyc UMR CNRS 7253 and Laboratory Roberval UMR CNRS 7337
Université de Technologie de Compiègne (UTC)
Centre de Recherches de Royallieu
BP 20529
60205 Compiègne Cedex - France
www.hds.utc.fr
www.umr6253roberval.fr/
References
Assouroko I., Ducellier G., Eynard B., Boutinaud Ph., Semantic relationship management for knowledge capitalization and reuse in collaborative product development, In proceedings of 9th IFIP International Conference on Product Lifecycle Management – PLM’12, Montréal, Canada, July 9-11, 2012
Assouroko I., Gestion de données et dynamique de connaissances en ingénierie numérique : contribution à la liaison conception – simulation, Thèse de l’Université de Technologie de Compiègne, 12 octobre 2012
Mahut-Glatard S., Eynard B., Merlo Ch., Minel S., Beaujon Th., Best practises assessment in requirements engineering tools integration, In proceedings of 11th ASME Biennal Conference on Engineering Systems Design and Analysis – ESDA’12, Nantes, France, July 2-4, 2012
Matsokis A., Kiritsis D., 2010. An ontology-based approach for Product Lifecycle Management, In Computers in Industry, 61, 789-797.
Matta N., Ducellier G., Charlot Y., Tribouillois F., Hibon E., Ridha Beldjoudi M.. Traceability of Design Project Knowledge using PLM. In Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, The Sheraton University City Hotel Philadelphia, Pennsylvania, May 23-27, 2011.
Penciuc, D., Abel, M.-H., Van Den Abeele, D., Leblanc, A. (2012) "Apport des ontologies à la gestion des connaissances au cours du cycle de vie des systèmes de transport ferroviaire ", In Ingénierie des Systèmes d’Information, ISI, Eds Hermès, vol 17, no 4, pp 117-140.
Penciuc, D. (2012) « Identification et intégration des éléments de connaissance tacite et explicite dans un processus de développement par solution de référence. Thèse de doctorat de l’Université de Technologie de Compiègne, 5 septembre 2012.
Uschold M., Gruninger M., 1996, Ontologies : Principles, Methods and Applications Knowledge Engineering Review ; Volume 11 Number, 2, June 1996
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