Zusammenfassung
Das Vorgehen zur Produktionssystemplanung in Industrieunternehmen kann häufig durch kaum durchgängige Prozesse über mehrere funktionale Organisationseinheiten hinweg charakterisiert werden. Mit einem integrativen Ansatz auf Grundlage eines adaptiven Modells können Anwender gezielt unterstützt, inselartige Softwaresysteme verknüpft und kontinuierliche Prozesse und Informationsflüsse realisiert werden.
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Literatur
Chen S-J, Hwang C-L (1992) Fuzzy multiple attribute decision making: methods and applications. Springer, Berlin
Ciocoiu M, Nau D, Gruninger M (2001) Ontologies for integrating engineering applications. J Comput Info Sci Eng 1:12–22
Geerts G, McCarthy W (2000) The ontological foundation of REA enterprise information systems. Arbeitsbericht, University of Delaware and Michigan State University
Gruber T (1995) Towards principles for the design of ontologies used for knowledge sharing. Int J Hum-Comput Stud 43:907–928
Gruber T, Olsen G (1994) An ontology for engineering mathematics. In: Proceedings of 4th International Conference on Principles of Knowledge Representation and Reasoning KR’94
Guarino N (1998) Formal ontology and information systems. In: Proceedings of the First International Conference FOIS’98
Kagermann H, Wahlster W, Helbi J (2012) Deutschlands Zukunft als Produktionsstandort sichern – Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0 – Abschlussbericht des Arbeitskreises Industrie 4.0. Forschungsunion, Berlin
Kitamura Y, Mizoguchi R (2002) Ontology-based modeling of product functionality and use – part 1: functional knowledge modeling. In: Proceedings of Third International Seminar and Workshop Engineering Design in Integrated Product Development EDIProD
Knutilla A, Schlenoff C, Ivester R (1998) A robust ontology for manufacturing systems integration. In: Proceedings of Second International Conference on Engineering Design and Automation
McBride B (2002) Jena: a semantic web toolkit. IEEE Internet Comput 6:55–59
W3C (2012) OWL 2 Web ontology language – Document overview, 2. Aufl. http://www.w3.org/TR/owl2-overview/. Zugegriffen: 02. Sept. 2013
Nanda J, Thevenot H, Simpson T, Kumara S, Shooter S (2004) Exploring semantic web technologies for product family modeling. In: Proceedings of DETC’04 ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Spath D, Lentes J (2007) Production-in-the-loop. In: Proceedings of ICPR-19: 19th international conference on production research
Spath D, Lentes H-P, Lentes J (2005) Towards an ontology supporting the planning of production systems. Production Engineering: Research and development in Germany – Annals of the German Academic Society for Production Engineering 12:117–120
Wache H, Vögele T, Visser U, Stuckenschmidt H, Schuster G (2001) Ontology-based integration of information – a survey of existing approaches. in: proceedings of international joint conference on artificial intelligence (IJCAI-01) Workshop Ontologies and Information Sharing
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Lentes, J. (2013). Production-in-the-Loop. In: Westkämper, E., Spath, D., Constantinescu, C., Lentes, J. (eds) Digitale Produktion. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20259-9_20
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DOI: https://doi.org/10.1007/978-3-642-20259-9_20
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