Zdravković. M., Trajanović, M., Panetto, H., Lezoche, M., Aubrey, A., Sep. 2011. "Ontology-based supply chain process configuration", In: Trajanović, M. (Ed.), Proceedings of the 34th International Conference on Production Engineering. pp. 399-402.
2. Concepts Concepts are related to other concepts Concepts are combined into propositions Propositions are clustered into mental models … when concepts are specified, what we get is… Ontology
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4. Incompatibility of business objectives Increasing complexity and heterogeneity of systems Isolated business functions Supply Chain Challenges Interoperability Common practices System-wise decision making
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6. Knowledge sources and types SCOR- MAP SCOR-FULL OWL SCOR-SYS OWL SCOR-KOS OWL SCOR Native formats, Exchange formats Domain Ontologies Implicit semantics Explicit semantics Semantic enrichment Formal models of design goals Semantic applications Enterprise Information Systems SCOR-based systems EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY SCOR-CFG OWL
7. 1. Product information acquisition (principal product topology and manufacturing strategies for each of the components) 2. Production information assertion (to SCOR-CFG OWL model) 3. Generation of SCOR thread diagram