Abstract
We describe the derivation of ontology to capture knowledge regarding small series manufacturing. This work is motivated by use-cases ranging from the assembly of large aircraft built from about 6 million parts to the production of galley inserts, both plagued by problems for arising from the same interplay between product and production engineering. During ramp-up stages of such production, there are challenges of innovative technologies, high quality and safety standards or the structural complexity of products which frequently cause supply-chain problems or require revisions of the designs that result in significant financial losses. These conditions differ significantly from standard production scenarios. Based on a detailed domain analysis, we identify five requirements for the type of knowledge to be captured in ontology, and then proceed to propose a first version of such an ontology addressing these requirements, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management.
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Inden, U., Mehandjiev, N., Mönch, L., Vrba, P. (2013). Towards an Ontology for Small Series Production. In: Mařík, V., Lastra, J.L.M., Skobelev, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. Lecture Notes in Computer Science(), vol 8062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40090-2_12
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DOI: https://doi.org/10.1007/978-3-642-40090-2_12
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