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논문 기본 정보

자료유형
학술저널
저자정보
곽동훈 (서울대학교) 유상현 (서울대학교) 우종훈 (서울대학교) 박중구 (삼성중공업)
저널정보
대한산업공학회 대한산업공학회지 대한산업공학회지 제46권 제6호
발행연도
2020.12
수록면
673 - 682 (10page)
DOI
10.7232/JKIIE.2020.46.6.673

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초록· 키워드

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In order to establish an accurate production plan, the net working time must be determined in consideration of unit working time and production volume, then the production time must be determined in consideration of the appropriate allowance time with the net working time. However, since the unit working time of shipbuilding is inaccurate and there are many difficulties in calculating the production volume, most shipyards are following the top-down procedure based on the past ship’s production records. In addition, shipyards have very large variability affecting production time, such as delay and waiting, because human factors dominate. Nevertheless, there has been little scientific analysis of this variability. Variability is a kind of statistical variable. When applied to a production system in combination with the queuing theory, it is possible to analyze the production process through scientific analysis and draw productivity improvement because it is possible to analyze the variability considering production time and process capability. Researches on variability have been applied to mass production industries such as automobile production. The target of most researches of variability in the mass production industry is to reduce the variability of production time to secure higher productivity with the given production resources. However, in the case of the shipbuilding industry, the variability in production time is very high and difficult to control compared to the mass production industry. So, queuing analysis with high variability never has been studied in shipbuilding. In this study, the quantitative variability level of the shipbuilding of Korea is investigated through the queuing analysis with variability with respect to the schedule and procurement plan of the shipyard, and the scientific analysis is conducted for the analysis of the relationship between the productivity and the composition of shipyard production resources.

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