실적선 데이터베이스 구축을 위한 함정 제품모델의 데이터 품질검증에 관한 연구
A Study of Product Information Quality Verification in Database Construction of Naval Ship Product Models
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초록
In automotive industries, reusability of product information is increasing through database construction of previous product data. The product data is stored by data quality management in product information systems. For naval ships, have the functional similarity by the ships of the same classification and class, that are built by series. Information of hull structures as well as embarked equipments are similar. So it would be effective to use database systems that are considered product information quality of previous ships in design and production processes. In this paper we discuss product information quality in database construction of naval ship product models. For this, we propose a basic concept and reference model for data quality verification. Based on this concept, A verification guideline is defined and it is applied for the case study of the digital naval ship which was built to the naval ship product model.
Abstract
In automotive industries, reusability of product information is increasing through database construction of previous product data. The product data is stored by data quality management in product information systems. For naval ships, have the functional similarity by the ships of the same classification and class, that are built by series. Information of hull structures as well as embarked equipments are similar. So it would be effective to use database systems that are considered product information quality of previous ships in design and production processes. In this paper we discuss product information quality in database construction of naval ship product models. For this, we propose a basic concept and reference model for data quality verification. Based on this concept, A verification guideline is defined and it is applied for the case study of the digital naval ship which was built to the naval ship product model.
참고문헌 (8)
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- Korea Database Promotion Center, "Data Quality Management Maturity Model" (2006), Korea Database Promotion Center
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- 양정삼, "국내 자동차산업에서 제품데이터품질에 대한 현황 조사", 한국CAD, 2005, pp.10(4), 274~283[DOI]