Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Study of Reliability Analysis and Application on Naval Combat System Using Field Critical Failure Data

야전 치명고장자료를 이용한 함정전투체계 신뢰성 분석 및 활용 방안

  • Kim, Young-Jin (Department of Industrial Engineering, Hannam University) ;
  • Oh, Hyun-Seung (Department of Industrial Engineering, Hannam University) ;
  • Choi, Bong-Wan (Department of Industrial Engineering, Hannam University)
  • 김영진 (한남대학교 산업경영공학과) ;
  • 오현승 (한남대학교 산업경영공학과) ;
  • 최봉완 (한남대학교 산업경영공학과)
  • Received : 2016.10.25
  • Accepted : 2016.11.23
  • Published : 2016.12.31
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Abstract

Naval combat system developed in-country is progressing at an alarming rate since 2000. ROK navy will be achieved all vessels that have combat system in the near future. The importance of System Engineering and Integrated Logistics Support based on reliability analysis is increasing. However, reliability analysis that everyone trusted and recognized is not enough and applied practically for development of Defense Acquisition Program. In particular, Existing Reliability Analysis is focusing on reliability index (Mean Time Between Failure (MTBF) etc.) for policy decision of defense improvement project. Most of the weapon system acquisition process applying in the exponential distribution simply persist unreality due to memoryless property. Critical failures are more important than simple faults to ship's operator. There are no confirmed cases of reliability analysis involved with critical failure that naval ship scheduler and operator concerned sensitively. Therefore, this study is focusing on Mean Time To Critical Failure (MTTCF), reliability on specific time and Operational Readiness Float (ORF) requirements related to critical failure of Patrol Killer Guided missile (PKG) combat system that is beginning of naval combat system developed in-country. Methods of analysis is applied parametric and non-parametric statistical techniques. It is compared to the estimates and proposed applications. The result of study shows that parametric and non-parametric estimators should be applied differently depending on purpose of utilization based on test of normality. For the first time, this study is offering Reliability of ROK Naval combat system to stakeholders involved with defense improvement project. Decision makers of defense improvement project have to active support and effort in this area for improvement of System Engineering.

Keywords

References

  1. Baek et al., Department of Defense Guide for Reliability, Availability, Maintainability, Defense Agency for Technology and Quality, 2009.
  2. Baek, S.H., Kim, G.Y., Lee, Y.S., and Moon, S.J., A Study on An Establishment of RAM value for Effective for development of ILS Elements about Naval ship, Defense Agency for Technology and Quality, 2008.
  3. Cho, C.H. and Yum, B.J., Development of Reliability Analysis Procedures for Repairable Systems with Interval Failure Time Data and a Related Case Study, The Journal of the KIMST, 2011, Vol. 14, No. 5, pp. 859-870.
  4. Choi, B.W., A study on Application Range and cost For Life Cycle Support & Maintenance of Naval Combat system, Hannam University, 2015.
  5. DoD, The power generation service instruction, 2015.
  6. DoD, Weapons System RAM guidelines, Defense Acquisition Program Administration, 2014.
  7. Estimation of optimum demand and stock of repair parts of major agricultural machines for after-sales service, Seoul National University, 2003, pp. 15-24.
  8. Hwang, K.Y., Ok, K.C., Kim, Y.J., Choi, B.W., Oh, H.S., and Choi, K.S., A Study on Development direction of Next-generation Naval Combat System Architecture, The Journal of the KIMST, 2016, Vol. 19, No. 1, pp. 105-118.
  9. Information Integration Analysis, Core To decide Ship's combat capability, The Korea Defense Daily, 19, 2014.
  10. Jo, I.T., Lee, S.C., and Park, J.H., A Study on Reliability Growth through Failure Analysis by Operational Data of Avionic Equipments, The Journal of Society of Korea Industrial and Systems Engineering, 2013, Vol. 36, No. 4, pp. 100-108. https://doi.org/10.11627/jkise.2013.36.4.100
  11. Jung, G.W., A study on the life prediction of AGL (Aeronautical Ground Lights) components based on reliability analysis : Focused on Incheon international airport [dissertation]. Inha University, 2015. pp. 11-12.
  12. Kim, S.Y., Choi, B.W., and Oh, H.S., A Study on the Economic Life Cycle Decision Method of Aircraft Direct Support Equipment, The Journal of Society of Korea Industrial and Systems Engineering, 2014, Vol. 37, No. 4, pp. 193-201. https://doi.org/10.11627/jkise.2014.37.4.193
  13. Lee, C.H., A Study of Reliability Assurance Model Development for Reliability improvement of Mobility equipment, Defense & Technology, 2015, Vol. 433, No. 3, pp. 111-112.
  14. Life Data Analysis Reference, http://reliawiki.org/index.php/Recurrent Event Data Analysis.
  15. Lim, Y.B., Kim, S.I., Lee, S.B., and Jang, D.H., Literature Review on the Statistical Methods in KSQM for 50 Years, The Journal of Korean Society for Quality Management, 2016, Vol. 44, No. 2, pp. 221-244. https://doi.org/10.7469/JKSQM.2016.44.2.221
  16. Meeting for Defense Acquisitionon Naval Ship : Plan for Advancement of Integrated Logistics Support on naval ship, Defense Acquisition Program Administration, 2015.
  17. Na, I.Y., A Research of the Reliability Analysis and Application Method Based on Non-parametric Statistics Using Field Data, The Journal of the KIMST, 2010, Vol. 13, No. 4, pp. 594-600.
  18. Nelson, Wayne, Applied Life Data Analysis, John Wiley & Sons, Inc, New York, 1982.
  19. Nelson, Wayne, Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications, ASA-SIAM, 2003.
  20. Non-parametric statistics, https://ko.wikipedia.org/wiki.
  21. PKG Combat System, http://www.hanwhasystems.com/front/business/business.do?page=21.
  22. Seo et al., Reliability Engineering, Kyobo Bookstore, 2010.
  23. Sohn, J.M., Chang, C.M., and Won, Y.D., A Case Study of RAM Analysis Using Field Data : Focusing on Korean Warship, The Journal of the Korea Contents Association, 2012, Vol. 12, No. 12, pp. 395-412. https://doi.org/10.5392/JKCA.2012.12.12.395
  24. Understanding of naval combat system, ROK Navy Head Quarters, 2008.

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