총수명주기를 고려한 해양무인체계 정비 품질확보 연구

오경원¹^{, *} ; 황지환² ; 권병욱² ; 신일식³

1호원대학교 항공정비공학과 교수
2국방기술품질원 선임연구원
3중소조선연구원 센터장

A Study on Quality of Maintenance of Marine Unmanned Systems Considering Total Life Cycle

Kyungwon Oh¹^{, *} ; Jihwan Hwang² ; Byungwook Kwon² ; Ilsick Shin³

1Professor, Dept. of Aircraft MRO Engineering, Howon University
2Senior researcher, Naval Systems Center, Defense Agency for Technology and Quality
3Center director, Research Institute of Medium & Small Shipbuilding

Correspondence to: ^*Kyungwon Oh Dept. of Aircraft MRO Engineering, Howon University, 64, Howondae 3-gil, Impi-myeon, Gunsan-si, Jeollabuk-do, Republic of Korea Tel: +82-63-450-7724 E-mail: kwoh@howon.ac.kr

초록

진화하는 해양 무인 시스템 환경에서는 강력한 유지보수 시스템을 구축하는 것이 무엇보다 중요하다. 본 연구는 효율적인 운영을 보장하는 데 있어 원격 기반 고장 진단/복구, 장비 상태 모니터링, 상태 예측/관리의 중요성을 강조하고 있다. 성능 기반 군수 지원(PBL)의 도입은 유지보수 접근 방식의 패러다임 전환을 보여준다. 해상 무인 시스템에서 효과적인 PBL 구현을 위해 전투 준비 상태(SSR), 사용자 대기 시간(CWT), 물류 지원 시간, 현장 만족도와 같은 지표를 도입한다. 정비창은 제품지원관리자(PSM) 역할뿐만 아니라 군수지원업체와 협력하여 첨단 정비 기술을 축적하는 연결고리로서 중추적인 역할을 수행해야 한다.

Abstract

In the evolving landscape of unmanned maritime systems, establishing a robust maintenance system is paramount. This study emphasizes the significance of remote-based fault diagnosis/recovery, equipment status monitoring, and health prediction/management in ensuring efficient operation. The introduction of performance-based logistics support (PBL) demonstrates a paradigm shift in maintenance approaches. For effective PBL implementation in maritime unmanned systems, metrics such as combat readiness (SSR), user waiting time (CWT), logistics support time, and field satisfaction are introduced. Maintenance depots play a pivotal role by not only serving as the Product Support Manager(PSM) but also as the nexus for accumulating advanced maintenance technologies in partnership with logistics support companies.

Keywords:

Total Life Cycle Systems Management, Unmanned Surface Vehicle, Unmannd Underwater Vehicle, Product Support Manager, Quality of Maintenance

키워드:

총수명주기관리, 무인수상정, 무인잠수정, 체계지원관리자, 정비품질

Acknowledgments

본 연구는 2021 민군협력개발사업 ”IoT 기반 함정 정비 통합관제 플랫폼 개발“에 의해 수행되었음 (21-CM-TN-12)

References

Agdas, M. and Gencer, C., A Dynamic Performance Evaluation Model Suggestion for Performance-based Logistics, 2021. [https://doi.org/10.1108/K-12-2020-0867]
Andy Kimber, “Boat Launch and Recovery - A Key Enabling Technology For Flexible Warships,” Pacific 2012 in Sydney, Australia, 2012.
Annual Handbook Issue 25, “Military Unmanned Systems,” Shepahade, 2017.
Autonomous Robotic Refueling of an Unmanned Surface Vehicle in Varying Sea States, 2015. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Congress Center Hamburg, 2015.
Comparison of National Strategies to Promote Artificial Intelligence Part I, II, Creative Commons Attribution - Share Alike 4.0 International, 2019.
Dana Hurst, Performance Based Logistics A Bridge Between Acquisition Reform and Logistics Supply Chain Management, U.S. Army War Collage, 2006. [https://doi.org/10.21236/ADA449332]
Glas, A., Case Studies of Performance Based Logistics in the Military: International Lessons Learned, 2020.
Global Naval Vessels MRO Market Research Report, Market Research Future, 2020.
Handbook of Unmanned Aerial Vehicles, Kion P. Valavanis, George J. Vachtsevanos, Springer Reference, 2015.
Joint Concept Note 1/17 Future Force Concept, Ministry of Defence, 2017.
Joint Fleet Maintenance Manual (JFMM) COMUSFLTFORCOMINST 4790.3 Volume II Integrated Fleet Maintenance, Department of the Navy Commanding Officer SUBMEPP, 2021.
“Launch and Recovery Systems for Unmanned Vehicles Onboard Ships. A study and Initial Concepts”, Naval Architecture, Master’s Thesis, 2016.
Liqiang Zhang et al. Design of the Power Supply System and the PHM Architecture for Unmanned Surface Vehicle, 2019 Prognostics & System Health Management Conference, Qingdao, 2019. [https://doi.org/10.1109/PHM-Qingdao46334.2019.8942967]
Maintenance Police Navy Ships (OPNAVINST 4700.7M), 2019.
Navy Maintenance Persistent and Subtantial Ship and Submarine Maintenance Delays Hinder Efforts to Rebuild Readiness, United States Government Accountability Office, 2019.
New Robot Strategy, The Headquarters for Japan’s Economic Revitalization, 2015.
PMS 406 Unmanned Maritime Systems, Program Overview Surface Navy Association, 2021.
World Robotics R&D Programs, International Federation of Robotics Frankfurt, 2020.
Zhixiang Liu, Youmin Zhang, Xiang Yu, Chi Yuan, “Unmanned Surface Vehicles: An Overview of Developments and Challenges,” Annual Reviews in Control, Annual Reviews in Control 41, pp. 71–93, 2016. [https://doi.org/10.1016/j.arcontrol.2016.04.018]
Realigning Weapon System and Power Support System Classifications, Joint Chiefs of Staff, 2020.
Establishment of Military Applications and Operational Concepts for Unmanned Robots, Joint Chiefs of Staff, 2015.
Military Requirements Derivation Study for Unmanned Surface Vehicle Operations, Naval Force Analysis Test Evaluation Group, 2017.
Study on the evolution of the Performance-Based Logistics (PBL) Contracting System, Korea Defense Research Institute, 2017.
Feasibility Study for Establishing a Small Marine Unmanned System Demonstration Platform, 2019.
S. H. Shin, Current Status and Future Development of Remote Maintenance System for Naval Ships, 2019.
Analyze the Operational Requirements of a Carrier with an Unmanned Surface Vehicle (USV) Using the Concept of Operations Development Process., Journal of KOSSE Vol. 16, No. 1, 2020.
S.D. choi et al., Enhancing the Acquisition and Sustainment Linkage for Advanced Defense Management, KIDA, 2016.
Advancing O&M Analytics for Effective TLCMS Implementation, Defense Force Development Seminar, 2019.