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한국해군과학기술학회
[ Article ]
Journal of the KNST - Vol. 6, No. 3, pp.320-330
ISSN: 2635-4926 (Print)
Print publication date 30 Sep 2023
Received 28 Aug 2023 Revised 07 Sep 2023 Accepted 21 Sep 2023
DOI: https://doi.org/10.31818/JKNST.2023.09.6.3.320

RAMS, FMEA, Survivability 지표 간의 관계성 분석

장현애1 ; 민승식2, *
1전주대학교 기술경영공학과 조교수
2해군사관학교 기초과학과 부교수
Analysis of the Relationship Between RAMS, FMEA, and Survivability Indicators
Hyeon-ae Jang1 ; Seungsik Min2, *
1Assistant professor, Dept. of Technology Management Engineering, Jeonju University
2Associate professor, Dept. of Natural Science, Republic of Korea Naval Academy

Correspondence to: *Seungsik Min Dept. of Natural Science, Republic of Korea Naval Academy PO Box No. 88-4-2, 1 Jungwon-ro, Jinhae-gu, Changwon-si, Gyungnam, 51704, Republic of Korea Tel: +82-55-907-5238 Fax: +82-50-4038-7739 E-mail: seaman53@navy.ac.kr

© 2023 Korea Society for Naval Science & Technology

초록

본 논문에서는 시스템평가 방법론으로 널리 사용되는 RAMS, FMEA, 생존성(survivability)의 상세 평가 절차와 최근 연구동향에 관해 살펴보고 세 가지 평가방법론 간의 관계성에 대해 논의해 보고자 한다. 먼저 방법론 관점의 경우 시스템의 생애주기 단계별 적용될 수 있는 평가지표에 대해 정리해 보았으며, 평가 요소 관점에서는 요소간의 증감 및 네트워크 관계를 분석하였다. 본 연구를 통해 FMEA지표의 발생도, RAMS 지표의 안전도, 생존성 지표의 회복성이 중요한 관리 대상 지표로 나타났다.

Abstract

This paper examines the detailed evaluation procedures and recent research trends of RAMS, FMEA, and survivability, which are widely used system evaluation methodologies. First, from a methodological perspective, evaluation indicators that can be applied to the system's life cycle stages are summarized. The increase and network relationship between factors are analyzed from the perspective of evaluation factors. This study found that the occurrence rate of FMEA indicators, the safety of RAMS indicators, and the recoverability of survivability indicators are important management indicators.

Keywords:

FMEA, RAMS, Survivability, Research Trend, Evaluation Method

키워드:

고장모드 및 영향 분석, 신뢰성·가용도·정비도·안전도 분석, 생존성, 연구 동향, 평가방법론

Acknowledgments

이 논문은 2023년도 해군사관학교 해양연구소 연구비 지원으로 수행된 연구과제임.

References

  • Ahn, D. G., J. M. Yoo and J. S. Jang, “How to Perform FMEA Effectively for Weapon System Development Stage,” Journal of Applied Reliability, 2021, pp. 45-60. [https://doi.org/10.33162/JAR.2021.3.21.1.45]
  • 나성현, 소희섭, “Dempster-Shafer 증거 이론을 이용한 회전익 항공기 착륙장치의 FMEA,” 한국산학기술학회 논문지, 2021, pp. 76-84.
  • Braglia, M., “MAFMA: Multi‐attribute Failure Mode Analysis,” Int J Qual & Reliability Mgmt, 2000, pp. 1017-1033. [https://doi.org/10.1108/02656710010353885]
  • Carmignani, G., “An Integrated Structural Framework to Cost-based FMECA: The Priority-cost FMECA,” 2009, pp. 861-871. [https://doi.org/10.1016/j.ress.2008.09.009]
  • Zammori, F. and R. Gabbrielli, “ANP/RPN: A Multi Criteria Evaluation of the Risk Priority Number,” Quality and Reliability Engineering International, 2012, pp. 85-104. [https://doi.org/10.1002/qre.1217]
  • Anand Pillay and Jin Wang, “Modified Failure Mode and Effects Analysis Using Approximate Reasoning,” 2003, pp. 69-85. [https://doi.org/10.1016/S0951-8320(02)00179-5]
  • Yu, Y., J. Yang and S. Wu, “A Novel FMEA approach for Submarine Pipeline Risk Analysis Based on IVIFRN and ExpTODIM-PROMETHEE-II,” Applied Soft Computing, 2023, 110065. [https://doi.org/10.1016/j.asoc.2023.110065]
  • Ouyang, L., Y. Che, L. Yan and C. Park, “Multiple Perspectives on Analyzing Risk Factors in FMEA,” Computers in Industry, 2022, 103712. [https://doi.org/10.1016/j.compind.2022.103712]
  • Qiu, Y. and H. Zhang, “A Modified FMEA Approach to Predict Job Shop Disturbance,” Processes, 2022, 2223. [https://doi.org/10.3390/pr10112223]
  • Kim, S. and C. Kim, “A Study on the Implementation Method of P-FMEA Considering Easiness of Improvement,” Journal of the Korea Academia-Industrial Cooperation Society, 2022, pp. 644-653. [https://doi.org/10.5762/KAIS.2022.23.12.644]
  • 나성현, 이광은, “회전익 항공기 착륙장치에 대한 퍼지 FMEA,” 한국산학기술학회 논문지, 2021, pp. 751-758.
  • Liu, J., D. Wang, Q. Lin and M. Deng, “Risk Assessment Based on FMEA Combining DEA and Cloud Model: A Case Application in Robot-assisted Rehabilitation,” Expert Systems with Applications, 2023, 119119. [https://doi.org/10.1016/j.eswa.2022.119119]
  • Peddi, S., K. Lanka and P. Gopal, “Modified FMEA Using Machine Learning for Food Supply Chain,” Materials Today: Proceedings, 2023,. [https://doi.org/10.1016/j.matpr.2023.04.353]
  • You, J., S. Lou, R. Mao and T. Xu, “An Improved FMEA Quality Risk Assessment Framework for Enterprise Data Assets,” Journal of Digital Economy, 2022, pp. 141-152. [https://doi.org/10.1016/j.jdec.2022.12.001]
  • Wen-Sheng Xiao, Chao Liu, Guang-Xin Li and Jian Liu, “Reliability Analysis of Subsea Control System Using FMEA and FFTA,” 2023, .
  • Memarpour Ghiaci, A. and S. Jafarzadeh Ghoushchi, “Assessment of Barriers to IoT-enabled Circular Economy Using an Extended Decision- making-based FMEA model Under Uncertain Environment,” Internet of Things, 2023, pp. 100719. [https://doi.org/10.1016/j.iot.2023.100719]
  • Lin, S. and H. Lo, “An FMEA Model for Risk Assessment of University Sustainability: Using a Combined ITARA with TOPSIS-AL Approach Based Neutrosophic Sets,” Annals of Operations Research, 2023, pp. 1-27. [https://doi.org/10.1007/s10479-023-05250-4]
  • Liang, R., Z. Z. Xue, X. Wei and R. Li, “Research on Risk Evaluation of Logistics Park Construction Project by FMEA Based on Hesitation Environment,” IOP Conference Series. Earth and Environmental Science, 2022, pp. 072015. [https://doi.org/10.1088/1755-1315/1101/7/072015]
  • Liou, J. J. H., P. C. Y. Liu, S. Luo, H. Lo and Y. Wu, “A Hybrid Model Integrating FMEA and HFACS to Assess the Risk of Inter-city Bus Accidents,” Complex & Intelligent Systems, 2022, pp. 2451-2470. [https://doi.org/10.1007/s40747-022-00657-1]
  • Ahn, D. G., J. H. Choi and J. S. Jang, “How to Perform Process FMEA Effectively,” Journal of Applied Reliability, 2021, pp. 131-143. [https://doi.org/10.33162/JAR.2021.6.21.2.131]
  • Ceylan, B. O., D. A. Akyar and M. S. Celik, “A novel FMEA Approach for Risk Assessment of Air Pollution from Ships,” Marine Policy, 2023, 105536. [https://doi.org/10.1016/j.marpol.2023.105536]
  • Shixin Jiang, Zhenguo Liu and Jieyu Chen, “A Dynamic Failure Mode and Effect Analysis (FMEA) Method for CNC Machine Tool in Service,” Journal of Physics: Conference Series. IOP Publishing, 2023, 012047. [https://doi.org/10.1088/1742-6596/2483/1/012047]
  • Chen, W., B. Yang and Y. Liu, “An Integrated QFD and FMEA Approach to Identify Risky Components of Products,” Advanced Engineering Informatics, 2022, 101808. [https://doi.org/10.1016/j.aei.2022.101808]
  • Ebrahimi, S., K. Vachal and J. Szmerekovsky, “A Delphi-FMEA Model to Assess County-level Speeding Crash Risk in North Dakota,” Transportation Research Interdisciplinary Perspectives, 2022, 100688. [https://doi.org/10.1016/j.trip.2022.100688]
  • 조성우, 이한솔, 강주영, “위험 요인 평가를 위한 FMEA의 일반 RPN 모형과 활용에 관한 연구,” 한국품질경영학회지, 2022, pp. 125-138.
  • Yoo, J., D. Ahn, J. Choi, J. Cho, S. Cho and J. Jang, “FMEA Implementation Based on Design Activities,” Journal of Applied Reliability, 2022, pp. 292-307. [https://doi.org/10.33162/JAR.2022.9.22.3.292]
  • 오왕성, 구정서, “RCM 절차에서 시스템 신뢰성과 유지보수 신뢰성에 대한 FMEA 적용의 비교연구,” 한국철도학회논문집, 2021, pp. 861-875 .
  • Hu-Chen Liu, Long Liu and Nan Liu, “Risk Evaluation Approaches in Failure Mode and Effects Analysis: A Literature Review,” Expert Systems with Applications, 2013, pp. 828-838. [https://doi.org/10.1016/j.eswa.2012.08.010]
  • AIAG & VDA, “Failure Mode and Effects Analysis (FMEA) Handbook,” 2019.
  • EN. “BSI Standards Publication Railway Applications - The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS),” 2017.
  • 국토교통부, “철도안전관리체계 기술기준 제정 고시문,” 2014.
  • EN. “Railway Application – Communication, Signaling and Processing Systems – Safety Related Electronic Systems for Signaling,” 2003.
  • EN. “The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS), Part 2: Guide to the Application of EN50126-1 for Safety,” 2007.
  • 국토교통부, “철도 위험도 평가에 관한 세부기준,” 2023.
  • Kim, J., D. Jeong, J. Lee, J. Jeon and K. Shin, “A Study on Maintenance Management Based on RAMS for Railroad Systems,” Journal of the Korean Society for Railway, 2017, pp. 713-725. [https://doi.org/10.7782/JKSR.2017.20.6.713]
  • Jung, S., J. Ha, H. Do and J. Kim, “PBL System Linkage Plan Using RAM-C analysis Tool According to the Total Life Cycle Management Task Enactment,” Journal of the Korea Academia-Industrial Cooperation Society, 2023, pp. 67-73. [https://doi.org/10.5762/KAIS.2023.24.2.67]
  • Han, S. and S. Paik, “RAM Goal-setting Using the AHP and Field Data of Similar Weapon Systems,” Journal of Applied Reliability, 2020, pp. 154-162. [https://doi.org/10.33162/JAR.2020.6.20.2.154]
  • Kim, I. S. and W. Jung, “Comparative Analysis of RAM Value Correction Method Based on the Evaluation of the Weapon System Staff,” Journal of Applied Reliability, 2019, pp. 374-381. [https://doi.org/10.33162/JAR.2019.12.19.4.374]
  • Sung-Chul Ha and Seung-Jin Han, “Study on RAM Analysis Process for Air Force Weapon System Based on Field Data,” 2022, p. 227. [https://doi.org/10.5762/KAIS.2022.23.11.227]
  • Choi, C. H., J. K. Bang and S. S. Park, “A Research of Applying RAM-c to Analyze the Design Service Life for Unmanned Aerial Vehicle,” Journal of the Korean Society for Aviation and Aeronautics, 2015, pp. 117-124. [https://doi.org/10.12985/ksaa.2015.23.4.117]
  • Jo, E., Y. Jung and Y. Kim, “A Study on the Reliability Allocation for Warship Weapon System Using Field Data RAM Analysis Results,” Journal of the Korea Academia-Industrial Cooperation Society, 2023, pp. 439-447. [https://doi.org/10.5762/KAIS.2023.24.4.439]
  • Jo, E., Y. Jung and S. Ha, “A Study on the Correlation Between Warship Displacement and Reliability Using Field Data RAM Analysis Results,” Journal of Applied Reliability, 2023, pp. 89-96. [https://doi.org/10.33162/JAR.2023.3.23.1.089]
  • Zhang, Z., L. Jia and Y. Qin, “RAMS Analysis of Railway Network: Model Development and a Case Study in China,” Smart and Resilient Transportation, 2021, pp. 2-11. [https://doi.org/10.1108/SRT-10-2020-0013]
  • 최성호, 김길동, 구정서, “운영기반의 철도시스템 RAMS 성능 요구사항 설계에 관한 연구”, 전기학회논문지, 2018, pp. 1549-1554.
  • 임종국, 이희성, “철도차량 주요장치의 RAM 분석방법 개선 및 수명예측 방안 연구,” 한국철도학회 논문집, 2021, pp. 1031-1038.
  • Mohammed Taleb-Berrouane, Faisal Khan and Mohammad Kamil, “Dynamic RAMS Analysis Using Advanced Probabilistic Approach,” Chemical Engineering Transactions, 2019.
  • Han, Y., H. Kim, W. Yun and J. Kim, “Heuristic Method for RAM Design of Multifunctional System,” Transactions of the Korean Society of Mechanical Engineers - A, 2012, pp. 157-164. [https://doi.org/10.3795/KSME-A.2012.36.2.157]
  • De Sanctis, I., C. Paciarotti and O. Di Giovine, “Integration Between RCM and RAM: A Case Study,” The International Journal of Quality & Reliability Management, 2016, pp. 852-880. [https://doi.org/10.1108/IJQRM-02-2015-0026]
  • 김광식, 이장현, 황세윤, 반일환, “확률밀도함수(PDF)를 이용한 함정 피격성 분석 기법 연구,” (사)한국CDE학회, 2014, pp. 1161-1166.
  • N. Otsin. “Development of a Combat Aircraft Operation and Cost-Effectiveness Design Methodology,” 2005.
  • Driels, M., “Weaponeering: Conventional Weapon System Effectiveness,” AIAA Education Series, Virginia, USA, 2004.
  • 김광식, 이장현, “함정 통합 생존성 분석을 위한 절차 모델,” 대한조선학회, 2011.
  • 김광식, 이장현, 손금준, 전정익, “함정 통합 생존성 분석을 위한 절차적 방법론 연구,” (사)한국CDE학회, 2012.
  • 이장현, 최원준, “칼튼 손상함수를 이용한 주요장비의 취약 면적 산정과 함정 취약성 평가 방법,” 대한조선학회 논문집, 2018, pp. 274-280.
  • Morris R. Driels. “Determining the Number of Iterations for Monte Carlo Simulations of Weapon Effectiveness,” 2004. [https://doi.org/10.21236/ADA423541]
  • 김광식, 이장현, “다중 관통 피격에 따른 함정 통합 생존성 분석 절차,” 한국해양공학회지, 2014, pp. 69-76.
  • 정진욱, 정용국, 주수헌, 신종계, 김종철, “함정 초기 설계 단계에서 레이아웃 설계 시 생존성을 고려하기 위한 간이 평가 방법과 애플리케이션,” 대한조선학회 논문집, 2018, pp. 9-21.
  • Choi, S. and D. Park, “A Study on Securing Ship Survivability focused on a Cost and Effectiveness Analysis for Air Defense Performance,” Journal of the Korea Academia- Industrial Cooperation Society, 2014, pp. 2579-2586. [https://doi.org/10.5762/KAIS.2014.15.5.2579]
  • Lee, S., H. Song, O. Jang, J. Kim and S. Kim, “Optimal Path Technique for the Purpose of Overlapping to Improve Survival,” Journal of Institute of Control, Robotics and Systems, 2023, pp. 294-300. [https://doi.org/10.5302/J.ICROS.2023.22.0230]
  • 주수헌, 김영민, 정용국, 신종계, “생존성 기반의 함정 격실 배치 알고리즘 및 응용 방안," (사)한국CDE학회, 한국CADCAM학회, 2014 동계학술대회 논문집.
  • Yang, J., K. Lee and C. Jee, “Aircraft Combat Survivability Analysis Based on the Random Variable Weighted Score Algorithm,” Journal of the Korean Society for Aeronautical & Space Sciences, 2013, pp. 883-890. [https://doi.org/10.5139/JKSAS.2013.41.11.883]
  • 배지열, 정대윤, 조형희, 김지혁, 배형모, “공대공 적외선 위협에 대한 회피기동이 항공기 생존성에 미치는 영향,” 한국전산구조공학회논문집, 2017, pp. 501-506.
  • 박서현, 차재룡, “무인항공기의 생존성 향상을 위한 항재밍 기법 구현 및 검증,” 한국통신학회논문지, 2021, pp. 540-548.
  • 배민지, “무인항공기의 생존성을 고려한 감시정찰 임무 경로 계획“, 한국산학기술학회, 2019, pp. 211-217.