IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Development of Manufacturing Ontology-based Quality Prediction Framework and System : Injection Molding Process

제조 온톨로지 기반 품질예측 프레임워크 및 시스템 개발 : 사출성형공정 사례

  • Lee, Kyoung-Hun (Department of Industrial and Systems Engineering, Dongguk University-Seoul) ;
  • Kang, Yong-Shin (u-SCM Research Center in Nano Information Technology Academy, Dongguk University) ;
  • Lee, Yong-Han (Department of Industrial and Systems Engineering, Dongguk University-Seoul)
  • 이경훈 (동국대학교 서울캠퍼스 산업시스템공학과) ;
  • 강용신 (동국대학교 나노정보기술연구원 u-SCM 연구센터) ;
  • 이용한 (동국대학교 서울캠퍼스 산업시스템공학과)
  • Received : 2012.01.09
  • Accepted : 2012.02.06
  • Published : 2012.03.01
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Abstract

Today, many manufacturing companies realize that collaboration is crucial for their survival. Especially, in the perspective of quality, the importance of collaboration is emphasized because economic loss increases exponentially while defective parts go through the process in supply chain. However, the manufacturing companies are facing two main difficulties in implementing collaborative relationships with their suppliers. First, it is difficult for the suppliers to produce reliable products due to their obsolete facilities. The problem gets worse for second- or third-tire vendors. Second, the companies experience the lack of universally understandable set of terminology and effective methodologies for knowledge representation. Ontology is one of the best approaches to expressing and processing a domain knowledge. In this paper, we propose the manufacturing ontology-based quality prediction framework to represent and share the knowledge of industrial environment and to predict product quality in manufacturing processes. In addition, we develop the ontology-based quality prediction system based on the proposed framework. We carried out a series of experiments for an injection molding process at an automotive part supplier. The experimental results demonstrated that the proposed framework and system can be successfully applicable in manufacturing industry.

Keywords

References

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