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조선소 생산물류 시뮬레이션 결과 정도 향상을 위한 생산정보시스템 기간 정보 검증

Quality Verification of Legacy Data of Manufacturing Information System to Improve Results of Shipyard Manufacturing Logistics Simulation

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참고문헌

키워드

주제분류조선공학

초록

Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causesunpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection issequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerizedsimulation has been being gradually adopted. The data used in the simulation are processed from the database of the main schedulingand planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verificationof data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product informationsystem of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

Abstract

Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causesunpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection issequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerizedsimulation has been being gradually adopted. The data used in the simulation are processed from the database of the main schedulingand planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verificationof data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product informationsystem of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

참고문헌 (12)

  1. Bhushan, N, "Strategic Decision Making: Applying the Analytic Hierarchy Process" (2004), Springer-Verlag
  2. Gye, C.S, "The Guideline for Data Quality Management(Ver2.1)", Korea Database Promotion Center, ~ (2006)
  3. 김광식, "대일정 생산 계획에 따른 조선소 생산 용량의 초기 평가를 위한 이산사건 시뮬레이션", 한국CAD, 2012, pp.17(2), 111~122[DOI]
  4. Korea Database Agency, "Data Quality Assessment Procedure Manual", Korea Database Agency, ~ (2009)
  5. Lee, D.W, "Build an integrated database system for efficient assembly scheduling in ship-building", Proceeding of the Korean Institute of Industrial Engineers Annual Spring Conference, 23, pp.684~689 (2011)
  6. Lee, J.M., "A development of planning evaluation framework for large scale shipyard", Proceeding of the Korean Institute of Industrial Engineers Annual Autumn Conference, 17, pp.44~51 (2006)
  7. Lee, S.W., "A Simulation approach for improvement of racing boat manufacturing processes", Proceeding of the Korean Institute of Industrial Engineers Annual Autumn Conference, 17, pp.71~78 (2006)
  8. Lee, C.H, "Data Quality Assessment Procedure Manual(Ver 1.0)", Korea Database Agency, ~ (2009)
  9. National Information Society Agency, "Korea customs service data quality assessment examples", Public Data Quality Management, ~ (2012)
  10. 이원근, 장경복, 강성수, 조상명, "아크 점용접 구조물의 정밀 용접 열변형 해석에 관한 연구(I) - 온도 모니터링 및 열전달 모델 정립 -", 대한용접접합학회지, 20(4), pp.10~144 (2002), 대한용접접합학회
  11. 우종훈, "디지털 조선소 구축 및 활용을 위한 모델링 및 시뮬레이션프레임워크 구축 방법론", 대한조선학회 논문집, 42(4), pp.411~420 (2005), 대한조선학회
  12. Zbigniew, B.M, "Simulation of a Machining Sequence using Delmia", Quest Software, 2008, pp.5(1-4), 401~411

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