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Ontology-Based Competence Management for Team Configuration
Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-6671-6157
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
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2007 (English)In: Holonic and Multi-Agent Systems for Manufacturing: third International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, Regensburg, Germany, September 3 - 5, 2007; proceedings, Berlin: Springer , 2007, p. 401-410Conference paper, Published paper (Refereed)
Abstract [en]

When manufacturers, distributors and dealers need to collaborate, they form production networks because this provides significant advantages in production variety, flexibility and lead time. Production processes in such networks often spawn different specific tasks that are to be solved by the network members. This requires creation of a team able to tackle the identified problem. When dealing with multiple organizations and multiple processes within a complicated production network, trying to find a member that has required competence can be a laborious, time-consuming process. Developing and main-taining competence profiles of all the relevant parties associated with produc-tion can significantly reduce the time. The paper proposes an approach to team configuration based on competence profiles. The approach utilizes such tech-nologies as ontology management, context management and profiling. Using ontological representation makes it possible to identify those team members who are best suited for the task by ontology matching.

Place, publisher, year, edition, pages
Berlin: Springer , 2007. p. 401-410
Series
Lecture Notes in Computer Science ; 4659
Keywords [en]
build-to-order production network, competence management, competence profile, ontology, context
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-4908ISBN: 9783540744788 (print)OAI: oai:DiVA.org:hj-4908DiVA, id: diva2:35728
Available from: 2008-01-11 Created: 2008-01-11 Last updated: 2019-08-22Bibliographically approved

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Tarasov, VladimirAlbertsen, ThomasSandkuhl, Kurt

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