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Author

Kim, Namhun
UNIST Computer-Integrated Manufacturing Lab (UCIM)
Research Interests
  • Additive Manufacturing (3D Printing), Manufacturing Systems, Agent-based Simulation

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실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발

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Title
실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발
Other Titles
A Product Quality Prediction Model Using Real-Time Process Monitoring in Manufacturing Supply Chain
Author
Oh, YoungGwangPark, Hae SeungYoo, ArmKim, NamhunKim, YounghakKim, DongChulChoi, Jin UkYun, Sung HoYang, HeeJong
Keywords
Quality Ontology Model; Real-Time Quality Monitoring; Product Quality Prediction; Support Vector Machine(SVM)
Issue Date
201308
Publisher
대한산업공학회
Citation
대한산업공학회지, v.39, no.4, pp.271 - 277
Abstract
In spite of the emphasis on quality control in auto-industry, most of subcontract enterprises still lack a systematic in-process quality monitoring system for predicting the product/part quality for their customers. While their manufacturing processes have been getting automated and computer-controlled ever, there still exist many uncertain parameters and the process controls still rely on empirical works by a few skilled operators and quality experts. In this paper, a real-time product quality monitoring system for auto-manufacturing industry is presented to provide the systematic method of predicting product qualities from real-time production data. The proposed framework consists of a product quality ontology model for complex manufacturing supply chain environments, and a real-time quality prediction tool using support vector machine algorithm that enables the quality monitoring system to classify the product quality patterns from the in-process production data. A door trim production example is illustrated to verify the proposed quality prediction model.
URI
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DOI
http://dx.doi.org/10.7232/JKIIE.2013.39.4.271
ISSN
1225-0988
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