한국CDE학회논문집 (Korean Journal of Computational Design and Engineering)

  • 제19권2호
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  • Pages.148-156
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  • 2014
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  • 2508-4003(pISSN)
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  • 2508-402X(eISSN)
한국CDE학회 (Society for Computational Design and Engineering)
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제조라인 통합 설계 및 분석(II) - 디지털 가상생산 기술 적용을 통한 지속적인 라인 설계, 분석 및 최적화 프로세스

The Integrated Design and Analysis of Manufacturing Lines (II) - Continuous Design, Analysis and Optimization through Digital Virtual Manufacturing

  • 최상수 (삼성전기 생산기술연구소 공장최적화그룹) ;
  • 성낙윤 (삼성전기 생산기술연구소 공장최적화그룹) ;
  • 신연식 (삼성전기 생산기술연구소 공장최적화그룹) ;
  • 노상도 (성균관대학교 공과대학 시스템경영공학과)
  • Choi, SangSu (Factory Optimization Group, Manufacturing Engineering Institute, Samsung Electro-Mechanics) ;
  • Sung, Nakyun (Factory Optimization Group, Manufacturing Engineering Institute, Samsung Electro-Mechanics) ;
  • Shin, Yeonsik (Factory Optimization Group, Manufacturing Engineering Institute, Samsung Electro-Mechanics) ;
  • Noh, Sang Do (Department of Systems Management Engineering, Sungkyunkwan University)
  • 투고 : 2013.11.07
  • 심사 : 2014.02.27
  • 발행 : 2014.06.01
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초록

Generally, over 95% of manufacturing cost is determined in the design and manufacturing preparation step, especially a great part of productivity is determined in the manufacturing preparation step. In order to improve the manufacturing competitiveness, we have to verify the problems that can be occurred in the production step and remove the unnecessary factors in the manufacturing preparation step. Thus, manufacturing industries are adopting digital manufacturing system based on modeling & simulation. In this paper, we introduce e-FEED system (electronic based Front End Engineering and Design) that is the integrated design and analysis system for optimized manufacturing line development based on simulation automation and explain the work process (Design, Analysis and Optimization) about manufacturing line development using e-FEED system. Also, the effect is described through the real implementation cases.

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참고문헌

  1. Jeong, Y.S., Yim, H.J., Jee, H.S. and Lee, K.K., 2008, Manufacturing Line Optimization for Discrete Event Simulation and Genetic Algorithm, Transactions of the Society of CAD/CAM Engineers, 13(1), pp.67-75.
  2. Han, S.D., Ryu, C.H., Shin, J.G. and Lee, J.K., 2008, Implementation and Applications of Simulation Based Digital Shipyard, Transactions of the Society of CAD/CAM Engineers, 13(1), pp.18-26.
  3. Lee, C.H., Wang, G.N. and Park, S.C., 2009, Design of a Vehicle Assembly Line Using PLC Simulation, Transactions of the Society of CAD/CAM Engineers, 14(5), pp.323-329.
  4. Sub, S.C. and Woo, K.Y., 2009, Simulation of Block Logistics at a Big Shipyard, Transactions of the Society of CAD/CAM Engineers, 14(6), pp.374-381.
  5. Kim, K.S., Hwang, H.J. and Lee, J.H., 2012, Discrete Event Simulation for the Initial Capacity Estimation of Shipyard Based on the Master Production Schedule, Transactions of the Society of CAD/CAM Engineers, 17(2), pp.111-122. https://doi.org/10.7315/CADCAM.2012.111
  6. Kim, G.Y., Lee, J.Y., Kang, H.S. and Noh, S.D., 2010, Digital Factory Wizard an Integrated System for Concurrent Digital Engineering, International Journal of Computer Integrated Manufacturing, 23(11), pp.1028-1045. https://doi.org/10.1080/0951192X.2010.511653
  7. Lee, J.Y., Kang, H.S., Kim, G.Y. and Noh, S.D., 2012, Concurrent Material Flow Analysis by P3R-Driven Modeling and Simulation in PLM, Computers in Industry, 63(5), pp.513-527.
  8. Kim, D.W. and Lee, K.B., 2008, The Guide for Professinal Engineer of Factory Management, Korean Scholarship Information, pp.65.
  9. Manuel D. Rossetti, Simulation Modeling and Arena, 2009, John Wiley & Sons Inc.

피인용 문헌

  1. A diagnosis and evaluation method for strategic planning and systematic design of a virtual factory in smart manufacturing systems vol.16, pp.6, 2015, https://doi.org/10.1007/s12541-015-0143-9
  2. A reference activity model for smart factory design and improvement vol.28, pp.2, 2017, https://doi.org/10.1080/09537287.2016.1237686