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http://dx.doi.org/10.7469/JKSQM.2016.44.4.735

Quality Management Study of Weapon System using Ontology  

An, Youngjun (School of Industrial Management Engineering, Korea University)
Seo, Yoonho (School of Industrial Management Engineering, Korea University)
Publication Information
Abstract
Purpose: This study is addressing the establishment of the knowledge information system supplying the quality management of weapon system. It is going to support the continuous quality management through the linkages and integration between the product structure and the quality information. Methods: The interrelated relationship of the product structure information and quality information of weapon system would be expressed explicitly by taking advantage of the ontology concept. The quality information of distributed systems would be integrated through the SOA(Service Oriented Architecture)-based Web services. After defining the inference rules, which could be utilized in the quality management, in the constructed knowledge information system, the quality information would be inferred through the queries. Results: By building the integrated quality information knowledge system through the ontology and SOA, the connectivity between the product structures and dispersed quality information was enhanced. The utility and applicability of this study were checked up through the inferences on the products and quality information by using the information built by the semantic relationship of facts. Conclusion: We established the knowledge and information system as a systematic approach to support the quality management of weapon system. This is not affected by the organizations and systems, and it seems that it could be utilized across the quality management as the efficient knowledge sharing architecture supporting the quality management of weapon systems in the aspect of the product integration.
Keywords
Quality Management; Defense Quality; Ontology; Service Oriented Architecture; Knowledge Information;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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