International Journal of Automotive Technology

  • 제7권2호
  • /
  • Pages.217-226
  • /
  • 2006
  • /
  • 1229-9138(pISSN)
  • /
  • 1976-3832(eISSN)
한국자동차공학회 (The Korean Society of Automotive Engineers)
권호 표지

COLLABORATIVE PROCESS PLANNING AND FLOW ANALYSIS FOR AUTOMOTIVE ASSEMBLY SHOPS

  • Noh, S.D. (School of Systems Management Engineering, Sungkyunkwan University) ;
  • Kim, G. (Mechanical Design and Automation Engineering, Seoul National University of Technology)
  • 발행 : 2006.04.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

To maintain competitiveness in the modern automotive market, it is important to carry out process planning concurrently with new car development processes. Process planners need to make decisions concurrently and collaboratively in order to reduce manufacturing preparation time for developing a new car. Automated generation of a simulation model by using the integrated process plan database can reduce time consumed for carrying out a simulation and allow a consistent model to be used throughout. In this research, we developed a web-based system for concurrent and collaborative process planning and flow analysis for an automotive general assembly using web, database, and simulation technology. A single integrated database is designed to automatically generate simulation models from process plans without having to rework the data. This system enables process planners to evaluate their decisions quickly, considering various factors, and easily share their opinions with others. By using this collaborative system, time and cost put into the assembly process planning can be reduced and the reliability of the process plan would be improved.

키워드

참고문헌

  1. Bruner, A. (2001). Workplace planning in a collaborative manufacturing environment. IIE Annual Conf., Dallas, TX, May 20-23. 307-312
  2. Crabb, H. C. (1998). The Virtual Engineer. ASME Press. New York
  3. Driscoll, J. and Thilakawardana, D. (2001). 'The definition of assembly line balancing difficulty and evaluation of balance solution quality. Robotics and Computer-Integrated Manufacturing 17, 1, 81-86 https://doi.org/10.1016/S0736-5845(00)00040-5
  4. FactoryFlow 7.0 Class Guide (2002). Electronic Data Systems Inc. New York
  5. Groover, M. P. (2001). Automation Production Systems, and Computer-Integrated Manufacturing. 2nd Edn.. Prentice Hall. New Jersey
  6. Klein, R. and Scholl, A. (1996). Maximizing the production rate in simple assembly line balancing - A branch and bound procedure. European J. Operational Research 91, 2, 367-385 https://doi.org/10.1016/0377-2217(95)00047-X
  7. Mecklenburg, K. (2001). Seamless integration of layout and simulation. Proc. 2001 Winter Simulation Conf. 1487-1491
  8. PHP (2004). Hypertext Preprocessor. URL: http://www.php.net
  9. Randell, L. G. and Bolmsjo, G. S. (2001). Database driven factory simulation: a proof-of-concept demonstrator. Proc. 2001 Winter Simulation Conf., 977-983
  10. Rubinovitz, J. and Levitin, G. (1995). Genetic algorithm for assembly line balancing. Int. J. Production Economics 41, 1-3, 343-354 https://doi.org/10.1016/0925-5273(95)00109-3
  11. Sly, D. and Moorthy, S. (2001). Simulation data exchange (SDX) implementation and use. Proc. 2001 Winter Simulation Conf., 1473-1477