지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.2
- 수록면
- 1,017 - 1,022 (6page)
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초록· 키워드
오류제보하기
The problems related with product of automobile parts having some quality issues of different companies that are facing in during product design & product development process. Auto Parts Companies are wishing to introduce to apply quality standard such as APQP (advanced production quality planning) which is an information system in order to eliminate the quality issues during the Product design and product development process. But in quality management system it will not focus completely on FMEA (failure mode effect analysis), Control Plan, Flow Chart and PPAP (product part approval process) such as the weakness of quality management system in the documenting process. Quality management techniques should document through correct information. However due to the difficulty of information loss and information these are nominally managed. Recently, a study about technique & quality information knowledge management has been managed for alternative of these problems. Especially a study about systematic of injection molding conditions in the field of injection mold has been actively managed. However, the study about the management of injection molding conditions are based on collaborative product design & development that extract data through injection molding conditions extract from quality effect where the information is lacking. Therefore, in this paper, we present structure that is systematically managed and consistently gather the information related with mold design & development process. The structure defines a correlation between the quality factors and molding parameters and it is designed with construct based on tree structure of FTA (fault tree analysis) to gather quality information. Additionally, we implemented quality information knowledge management system prototype for the Auto parts Company.
목차
ABSTRACT
1. 서론
2. 품질 정보 지식 구조 방안
3. 품질 정보 지식 관리 시스템 설계
4. 품질 정보 지식 관리 시스템 구현
5. 결론
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UCI(KEPA) : I410-ECN-0101-2015-500-001136641