DOI QR코드

DOI QR Code

A Study on the Automated Generation of Arena Simulation Models Using Conceptual Models

개념 모델을 이용한 Arena 시뮬레이션 모델 자동 생성에 관한 연구

  • Received : 2014.12.05
  • Accepted : 2014.12.14
  • Published : 2014.12.31

Abstract

In general, a simulation project requires much time and money since we should develop a model that works similarly to the system at a level consistent with the project purposes. Therefore, more active research studies are required to reduce the time needed for the modeling process. This is achievable by minimizing the possible trial and error during the model development process through the appropriate conceptual model design and the automated generation of the simulation model. This paper presents a tool automatically generating an Arena model after developing a conceptual simulation model. Because our proposed tool is based on the popular Microsoft Excel and Visio, it is expected to be practically used at many industrial sites. Finally, we showed the effectiveness of the newly suggested tool by applying it to an imaginary simulation project.

일반적으로 시뮬레이션 프로젝트는 목적에 부합되는 수준에서 연구 대상 시스템과 유사하게 작동되는 모델을 개발해야 하기 때문에 시간과 비용이 많이 소요된다. 따라서 적절한 개념 모델 설계와 이를 바탕으로 시뮬레이션 모델을 자동 생성하여 모델 개발 과정의 시행착오를 최소화함으로써 모델링 시간을 단축하기 위한 연구가 요구되고 있다. 본 논문에서는 실무에서 많이 사용되고 있는 Microsoft Excel과 Visio를 활용하여 개념 모델을 개발하고 이를 Arena 모델로 자동으로 변환하는 툴을 제안하였다. 예제를 이용하여 본 논문의 모델 자동 생성 툴의 효용성을 보였다.

Keywords

References

  1. Choi, S. H., Practical Guidelines for successful application of simulation technologies. Journal of the Society of Korea Industrial and Systems Engineering, Vol. 27, No. 4, pp. 125-132, 2004.
  2. Choi, S. H., A simulation for the design and operation of the steel mills. Journal of the Korea Society for Simulation, Vol. 20, No. 2, pp. 49-57, 2011.
  3. Choi T. J., A Study on automated generating emulation/ animation model for integrated simulation of production and material handling systems, Department of Industrial & Systems Engineering Master Thesis, KAIST, 2012.
  4. Cornet, A., Improved simulation performance through adequate problem expression, Proceedings of the 2nd European Simulation Congress, pp.169-171, Antwerp, 1986.
  5. Law, Averill M, and Kelton, W. David., Simulation modeling and analysis, McGraw-Hill Inc., 1991.
  6. Lee S, Cho H., Automatic generation of simulation model in an object-oriented paradigm, Proceedings of 1996 KIIE Fall Conference, pp. 467-470, Seoul, Korea, 1996.
  7. McHaney, R., Computer simulation : a practical perspective, ACADEMIC PRESS, pp. 189-190, 1991.
  8. Pace, D.K., The value of a quality simulation conceptual model, Modeling and Simulation Magazine, vol.1, no.1, pp. 9-10, 2002.
  9. Park H and Wang J, Park S, PLC symbol naming rule for auto generation of Plant model in PLC simulation, Journal of the Korea Society for Simulation, Vol. 17, No. 4, pp. 1-9, 2008.
  10. Ra, H. W. and Choi, S. H., A Framework of a conceptual simulation model design tool, Proceedings of The 2nd International Conference on Digital Policy & Management, Bangkok, Thailand, to appear, 2015.
  11. Rossetti, Manuel D., Simulation modeling and Arena, John Wiley & Sons, NJ., 2009.
  12. Son, Y. J. and Wysk, Richard A., Automatic simulation model generation for simulation-based, real-time shop floor control, Computers in Industry, Vol. 45, No. 3, pp. 291-308, 2001. https://doi.org/10.1016/S0166-3615(01)00086-0