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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 277 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 271 | - |
dc.citation.title | 대한산업공학회지 | - |
dc.citation.volume | 39 | - |
dc.contributor.author | Oh, YoungGwang | - |
dc.contributor.author | Park, Hae Seung | - |
dc.contributor.author | Yoo, Arm | - |
dc.contributor.author | Kim, Namhun | - |
dc.contributor.author | Kim, Younghak | - |
dc.contributor.author | Kim, DongChul | - |
dc.contributor.author | Choi, Jin Uk | - |
dc.contributor.author | Yun, Sung Ho | - |
dc.contributor.author | Yang, HeeJong | - |
dc.date.accessioned | 2023-12-22T03:39:55Z | - |
dc.date.available | 2023-12-22T03:39:55Z | - |
dc.date.created | 2013-09-17 | - |
dc.date.issued | 2013-08 | - |
dc.description.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. | - |
dc.identifier.bibliographicCitation | 대한산업공학회지, v.39, no.4, pp.271 - 277 | - |
dc.identifier.doi | 10.7232/JKIIE.2013.39.4.271 | - |
dc.identifier.issn | 1225-0988 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/3919 | - |
dc.identifier.url | http://www.dbpia.co.kr/Article/3224154 | - |
dc.language | 한국어 | - |
dc.publisher | 대한산업공학회 | - |
dc.title.alternative | A Product Quality Prediction Model Using Real-Time Process Monitoring in Manufacturing Supply Chain | - |
dc.title | 실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발 | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.identifier.kciid | ART001792831 | - |
dc.description.journalRegisteredClass | kci | - |
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