Application of Model-Based Systems Engineering to Large-Scale Multi-Disciplinary Systems Development

모델기반 시스템공학을 응용한 대형복합기술 시스템 개발

  • 박중용 (고등기술연구원 생산기술센터) ;
  • 박영원 (아주대학교 시스템공학과)
  • Published : 2001.08.01

Abstract

Large-scale Multi-disciplinary Systems(LMS) such as transportation, aerospace, defense etc. are complex systems in which there are many subsystems, interfaces, functions and demanding performance requirements. Because many contractors participate in the development, it is necessary to apply methods of sharing common objectives and communicating design status effectively among all of the stakeholders. The processes and methods of systems engineering which includes system requirement analysis; functional analysis; architecting; system analysis; interface control; and system specification development provide a success-oriented disciplined approach to the project. This paper shows not only the methodology and the results of model-based systems engineering to Automated Guided Transit(AGT) system as one of LMS systems, but also propose the extension of the model-based tool to help manage a project by linking WBS (Work Breakdown Structure), work organization, and PBS (Product Breakdown Structure). In performing the model-based functional analysis, the focus was on the operation concept of an example rail system at the top-level and the propulsion/braking function, a key function of the modern automated rail system. The model-based behavior analysis approach that applies a discrete-event simulation method facilitates the system functional definition and the test and verification activities. The first application of computer-aided tool, RDD-100, in the railway industry demonstrates the capability to model product design knowledge and decisions concerning key issues such as the rationale for architecting the top-level system. The model-based product design knowledge will be essential in integrating the follow-on life-cycle phase activities. production through operation and support, over the life of the AGT system. Additionally, when a new generation train system is required, the reuse of the model-based database can increase the system design productivity and effectiveness significantly.

Keywords

References

  1. 이한준, 유정복, 이종호, 김무정, 경량전철의 개발추이와 도입방안, 교통개발연구원, 1997, 12
  2. 한국철도기술연구원, 경량전철시스템 기술개발사업 1차년도 연구결과보고서(분야 : 종합시스템엔지니어링), 건설교통부, 1999, 12
  3. 고등기술연구원, (주)대우자동차, 전산보조 시스템 설계 및 개발기술 최종보고서, 과학기술부, 1998, 10
  4. 박종선,' 시스템공학 전산지원도구를 이용한 시스템 설계 및 관리 데이터의 통합 정보화, ' 아주대학교 석사논문, pp. 31-32, 8, 2000
  5. James N. Martin, Systems Engineering Guidebook, CRC Press, New York, 1997
  6. Young Won Park, Hae Sang Song and Heung Chae Chung, 'Traceability in a unified systems engineering framework for A High-Speed railway system,' Proc. of the 10th International Symposium of the International Council on Systems Engineering, pp. 43-47, 2000
  7. Dennis M. Buede, The Engineering Design of Systems, John Wiley & Sons, Inc., New York, 2000
  8. INCOSE, System Engineering Handbook, INCOSE, 1998
  9. Robert Shishko and Robert G. Chamberlain, NASA systems Engineering Handbook, NASA, 1992