Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Sortie Generation Rate Simulation Using Discrete Event Simulation

이산 사건 시뮬레이션을 이용한 소티 생성률 산출 시뮬레이션 개발

  • Heechang Yoon (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Seungheon Oh (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Hyuk Lee (Virtual Engineering Platform Research Division, Korea Institute of Machinery and Materials) ;
  • Sunah Jung (Virtual Engineering Platform Research Division, Korea Institute of Machinery and Materials) ;
  • Junghoon Chung (Virtual Engineering Platform Research Division, Korea Institute of Machinery and Materials) ;
  • Jonghoon Woo (Department of Naval Architecture and Ocean Engineering, Seoul National University)
  • 윤희창 (서울대학교 조선해양공학과) ;
  • 오승헌 (서울대학교 조선해양공학과) ;
  • 이혁 (한국기계연구원 가상공학플랫폼연구본부) ;
  • 정선아 (한국기계연구원 가상공학플랫폼연구본부) ;
  • 정정훈 (한국기계연구원 가상공학플랫폼연구본부) ;
  • 우종훈 (서울대학교 조선해양공학과)
  • Received : 2024.04.30
  • Accepted : 2024.06.05
  • Published : 2024.08.20
Download PDF
⟨ Previous Next ⟩

Abstract

The Sortie Generation Rate (SGR), which measures the number of sorties that an airbase can produce per unit of time, is crucial for assessing operational capacity. However, the unique spatial and environmental constraints on aircraft carriers complicate the direct application of land-based SGR studies to maritime settings. This study introduces a framework for analyzing the Sortie Generation Process (SGP) on aircraft carriers, using discrete event simulation adapted to these constraints. This approach conceptualizes the SGP similar to a logistics and production system, wherein sorties are systematically generated through the operations of the aircraft. The proposed framework defines and implements the necessary simulation functions with the discrete event simulation method for the purpose of SGP analysis. Through a series of experiments, this study demonstrates the framework's effectiveness and its practical applicability to aircraft carrier operations, potentially enhancing sortie generation capabilities in naval aviation.

Keywords

Acknowledgement

이 논문은 국방신속획득기술연구원 선도형 핵심기술 과제(과제명: 소티 생성률 산출 기술, 계약번호: UC20003D)와 한국기계연구원 기본사업(과제명: 차세대 특수선박의 전주기 안전 강화를 위한 디지털 전환 핵심 기술, NK250B), 그리고 서울대학교 해양시스템공학연구소(과제명: 자체 개발 이산 사건 시뮬레이션 방법에 의한 소티 생성률 산출 기술 개발 및 검증, 0457-20200035)의 재정적 지원을 받았으며, 지원에 감사를 드립니다.

References

  1. Aykiri, B. 2016. Simulation of modeling sortie generation process in TURAF. MSc. thesis, Department of Operational Sciences, Air University, https://scholar.afit.edu/etd/353, [Accessed 26 July 2024].
  2. Bingol, G. 2016. Simulation of aircraft sortie generataion under an autonomic logistics system. MSc. thesis, Department of Operational Sciences, Air University, https://scholar.afit.edu/etd/498, [Accessed 26 July 2024].
  3. Boyle, E. 1990. LCOM explained. https://apps.dtic.mil/sti/citations/ADA224497, [Accessed 26 July 2024].
  4. Dietz, D.C. and Jenkins, R.C., 1997. Analysis of aircraft sortie generation with the use of a fork-join queueing network model. Naval Research Logistics (NRL), 44(2), 153-164. https://doi.org/10.1002/(SICI)1520-6750(199703)44:2<153::AID-NAV1>3.0.CO;2-8
  5. Faas, P.D. 2003. Simulation of autonomic logistics system (ALS) sortie generation. MSc. thesis, Department of Operational Sciences, Air University, https://scholar.afit.edu/etd/4304/, [Accessed 26 July 2024].
  6. Hackman, D.V. and Dietz, D.C., 1997. Analytical modeling of aircraft sortie generation with concurrent maintenance and general service times. Military Operations Research, 61-75.
  7. Harris, J.W. 2002. "The sortie generation rate model". In Proceedings of the Winter Simulation Conference, December, San Diego, CA, USA, 864-868.
  8. Jeong, Y.-K., Lee, P. and Woo, J.H., 2018. Shipyard block logistics simulation using process-centric discrete event simulation method. Journal of Ship Production and Design, 34(02), pp.168-179. https://doi.org/10.5957/JSPD.170006
  9. Lim, H., Lee, Y., Kim, B. and Woo, J., 2016. A study on the erection process modeling and simulation considering variability. Journal of the Society of Naval Architects of Korea, 53(2), pp.101-107. https://doi.org/10.3744/SNAK.2016.53.2.101
  10. Nam, S.-H., Oh, S.-H., Yoon, H.-C., Cho, Y.-I., Cho, K.-Y., Kwak, D.-H. and Woo, J.H., 2022. Development of des application for factory material flow simulation with simpy. 2022 Winter Simulation Conference (WSC).
  11. Shin, J.G., Lee, K.K., Woo, J.H., Kim, W.D., Lee, J.H., Kim, S.H., Park, J.Y. and Yim, H., 2004. A modeling and simulation of production process in subassembly lines at a shipyard. Journal of ship production, 20(02), pp.79-83. https://doi.org/10.5957/jsp.2004.20.2.79
  12. Song, Y.-J., Lee, D.-K., Choe, S.-W., Woo, J.-H. and Shin, J.-G., 2009. A simulation-based capacity analysis of a block-assembly process in ship production planning. Journal of the Society of Naval Architects of Korea, 46(1), 78-86. https://doi.org/10.3744/SNAK.2009.46.1.078
  13. Woo, J. H., Kim, Y., Jeong, Y.-K. and Shin, J.-G., 2017. A research on simulation framework for the advancement of supplying management competency. Journal of Ship Production and Design, 33(01), pp.60-79. https://doi.org/10.5957/jspd.2017.33.1.60
  14. Woo, J.H., Song, Y.J., Kang, Y.W. and Shin, J.G., 2010. Development of the decision-making system for the ship block logistics based on the simulation. Journal of Ship Production and Design, 26(04), pp.290-300. https://doi.org/10.5957/jspd.2010.26.4.290