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Korean Maintainability Prediction Methodology Reflecting System Complexity

시스템 복잡도를 반영한 한국형 정비도 예측 방법론

  • Kwon, Jae-Eon (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Hur, Jang-Wook (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology)
  • 권재언 (금오공과대학교 기계공학과(항공기계전자융합전공)) ;
  • 허장욱 (금오공과대학교 기계공학과(항공기계전자융합전공))
  • Received : 2020.11.11
  • Accepted : 2020.12.28
  • Published : 2021.04.30

Abstract

During the development of a weapon system, the concept of maintainability is used for quantitatively predicting and analyzing the maintenance time. However, owing to the complexity of a weapon system, the standard maintenance time predicted during the system's development differs significantly from the measured time during the operation of the equipment after the system's development. According to the analysis presented in this paper, the maintenance time can be predicted by considering the system's complexity on the basis of the military specifications, and the procedure can be Part B of Procedure II and Method B of Procedure V. The maintenance work elements affected by the system complexity were identified by the analytic hierarchy process technique, and the system-complexity-reflecting weights of the maintenance work elements were calculated by the Delphi method, which involves expert surveys. Based on MIL-HDBK-470A and MIL-HDBK-472, it is going to present a Korean-style maintainability prediction method that reflects system complexity of weapons systems.

Keywords

References

  1. Department of Defense, MIL-STD-721C: Definitions of Effectiveness Terms for Reliability, Maintainability, Human Factors, and Safety, Military Standard Washington (DC): Department of Defense (US), pp. 5, 1981.
  2. Department of Defense, MIL-HDBK-338B: Electronic Reliability Design Handbook, Military Handbook Washington (DC): Department of Defense (US), pp. 5-44, 1998.
  3. Department of Defense, MIL-HDBK-472 Military Handbook : Maintainability Prediction, Military Standardization Handbook Washington (DC): Department of Defense (US), pp. 2.11-2.29, 1966.
  4. Kim, Y. S., Hur J. W., "The Development of a Maintainability Prediction Software Based on MIL-HDBK-472 Procedure II", Journal of Applied Reliability, Vol. 19, No. 2, pp. 160-166, 2019. https://doi.org/10.33162/JAR.2019.06.19.2.160
  5. Defense Acquisition Program Administration, Weapon system RAM Task Guidelines, pp. 117, 2014.
  6. Kim, Y. S., Hur J. W., "A Study on the Maintainability Prediction in the Initial Design Phase between Weapon System Development", Journal of the Korea Institute of Military Science and Technology, Vol. 22, No. 6, pp. 824-831, 2019. https://doi.org/10.9766/KIMST.2019.22.6.824
  7. Kim, S. J., Hur J. W., "A Study on the FD&I Calculation Method for the Maintainability Prediction of the Detailed Design Phase of a Weapon System", Journal of Applied Reliability, Vol. 20, No. 1, pp. 19-27, 2020. https://doi.org/10.33162/jar.2020.3.20.1.19
  8. Department of Defense, MIL-HDBK-470A Military Handbook : Designing and Developing Maintainable Products and Systems, Military Handbook Washington (DC): Department of Defense (US), pp. 4-12, 1997.
  9. Lee, Y. K., Kim, K. A., Na, H. B., Park, J. W., "A Fuzzy AHP Based Decision Making Model for Ground Operations", Journal of the Korea Society for Simulation, Vol. 17, No. 4, pp. 159-165, 2008.
  10. Kim, S. J., Hur, J. W., "Maintainability Prediction Software Development Using the Method A of MIL-HDBK-472 Procedure V", Journal of Applied Reliability, Vol. 20, No. 1, pp. 124-132, 2020. https://doi.org/10.33162/JAR.2020.6.20.2.124
  11. Park, K. R., Chung, J. S., "A Study of Evaluation System of NATM Tunnel Using Delphi and AHP", ournal of the Korea institute for structural maintenance and inspection, Vol. 21, No. 6, pp. 25-34, 2017. https://doi.org/10.11112/jksmi.2017.21.6.025