DocumentCode :
2553026
Title :
Using semantic annotation for ontology based decision support in product family design
Author :
Lim, S.C.J. ; Ying Liu ; Wing Bun Lee
Author_Institution :
Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Kowloon, China
fYear :
2009
fDate :
21-23 Oct. 2009
Firstpage :
321
Lastpage :
325
Abstract :
Developing product family is one of the most promising approaches in the mass customization paradigm. In the product family perspective, the understanding of product family metrics and modeling is crucial for decision support and analysis. Most of the current product family modeling representation is meant solely for physical product configuration. Therefore, the current product family modeling approaches is not adequate to support various decision making at different product family design issues. An integrated knowledge framework that is able to support decision making in all aspects of interest would be highly desirable. This paper presents a conceptual framework of using semantic annotation for ontology based decision support in product family design. Together with a new commonality analysis based on a semantically annotated product family ontology, the framework illustrates the merits of using semantic annotation in assisting ontology based analysis and decision making in product family design. A case study involving a product family of digital camera is also presented to demonstrate our concepts and approach.
Keywords :
decision making; mass production; ontologies (artificial intelligence); product customisation; product design; commonality analysis; decision analysis; decision making; family ontology; integrated knowledge framework; mass customization paradigm; ontology based analysis; ontology based decision support; physical product configuration; product family design; product family metrics; product family modeling representation; product family perspective; semantic annotation; Bills of materials; Costs; Data mining; Decision making; Design engineering; Information retrieval; Mass customization; Object oriented modeling; Ontologies; Product design; Conformance Cost; Internal And External Failure Cost; Non Conformance Cost; Total Quality Cost;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
Type :
conf
DOI :
10.1109/ICIEEM.2009.5344579
Filename :
5344579
Link To Document :
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