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An ontology-based modelling and reasoning framework for assembly sequence planning

Abstract : In the current era of increased customization, changing manufacturing systems and business globalization, effective use of product design information and knowledge generated from the product model can facilitate the decision-making of an assembly sequence by providing feasible product relationships and a viable semantic foundation. In order to enrich such semantics, a geometry enhanced on-tology modelling and reasoning framework is proposed in this paper to explicitly express relevant concepts for Assembly Sequence Planning (ASP). A rule-based reasoning mechanism based on Ontology Web Language Description Logics (OWL-DL) and Semantic Web Rule Language (SWRL) is also suggested to clarify implicit relations by incorporating Reasoning Units (RUs) to process complex geometric information. This framework is then validated with a case study related to assembly sequence planning.
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Submitted on : Friday, December 1, 2017 - 10:16:14 PM
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Lihong Qiao, Yifan Qie, Zuowei Zhu, Yixin Zhu, Uzair Khaleeq Uz Zaman, et al.. An ontology-based modelling and reasoning framework for assembly sequence planning. International Journal of Advanced Manufacturing Technology, Springer Verlag, 2017, 94 (9-12), pp.4187 - 4197. ⟨10.1007/s00170-017-1077-4⟩. ⟨hal-01653820⟩



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