Conference Papers Year : 2011

Ontology Building of Manufacturing Quality Knowledge for Design Decision Support

Abstract

Manufacturing knowledge on product quality is a kind of typical knowledge for supporting design decisions. In order to clearly identify and understand design decisions and their knowledge needs on manufacturing quality, an ontology of design decisions and manufacturing quality knowledge is developed. The methodology and tool used for the development of the proposed ontology is firstly introduced. The design decisions are organized along with five main design phases ranging from planning and task clarification, conceptual design, embodiment design to detail design. The knowledge needs of different design decisions, especially on the manufacturing quality knowledge, are analyzed through competition questions. Then, the ontology is built in the form of a hierarchical structure through the proposed methodology and ontology editor. Based on the developed ontology, further instances of the classes in the ontology can be filled as detailed knowledge, and can be accumulated for further construction of knowledge base.

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Dates and versions

hal-00958170 , version 1 (14-03-2014)

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  • HAL Id : hal-00958170 , version 1
  • ENSAM : http://hdl.handle.net/10985/7834

Cite

Keqin Wang, Shurong Tong, Nada Matta, Lionel Roucoules, Benoît Eynard. Ontology Building of Manufacturing Quality Knowledge for Design Decision Support. IDMME - Virtual Concept 2010, Oct 2010, Bordeaux, France. 6p. ⟨hal-00958170⟩
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