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실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발
오영광(YeongGwang Oh),박해승(Haeseung Park),유아름(Arm Yoo),김남훈(Namhun Kim),김영학(Younghak Kim),김동철(Dongchul Kim),최진욱(JinUk Choi),윤성호(Sung Ho Yoon),양희종(HeeJong Yang) 대한산업공학회 2013 대한산업공학회지 Vol.39 No.4
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.