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Towards an analysis framework for operational risk coupling mode: A case from MASS navigating in restricted waters

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  • Fan, Cunlong
  • Montewka, Jakub
  • Bolbot, Victor
  • Zhang, Yang
  • Qiu, Yuhui
  • Hu, Shenping

Abstract

Maritime Autonomous Surface Ships (MASSs) constitute highly interconnected and tightly coupled multistate systems. Incorporating the coupling effects of both interactions and dependencies is centrally important to ensure navigation safety of MASSs. This paper proposes a framework for examining the coupling effects in the operational modes (OM) of MASSs. Failure Modes (FMs) of MASSs related to interactions with the environment and subsystems are identified using 24Model developed based on conventional ship accidents involving grounding in the west of Shenzhen port, China. FMs related to grounding are classified into the five risk types of human, organization, ship, environment, and technology, considering three OMs (states), i.e., manual control, remote control, and autonomous control. Based on this classification, the N-K model is applied to calculate the risk coupling values of scenarios involving multiple risk types. These scenarios are then ranked by the risk coupling values of the three OMs, and values are compared among different OMs. The results indicate that for grounding in the west of Shenzhen port most risk coupling values increase with increasing risk type diversity. Furthermore, the risk coupling mechanism in remote control differs significantly from that in manual control and autonomous control, thus risk management of MASS OMs should vary.

Suggested Citation

  • Fan, Cunlong & Montewka, Jakub & Bolbot, Victor & Zhang, Yang & Qiu, Yuhui & Hu, Shenping, 2024. "Towards an analysis framework for operational risk coupling mode: A case from MASS navigating in restricted waters," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:reensy:v:248:y:2024:i:c:s0951832024002503
    DOI: 10.1016/j.ress.2024.110176
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    1. Shiokari, Megumi & Itoh, Hiroko & Yuzui, Tomohiro & Ishimura, Eiko & Miyake, Rina & Kudo, Junichi & Kawashima, Sonoko, 2024. "Structure model-based hazard identification method for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    2. Li, Xue & Oh, Poong & Zhou, Yusheng & Yuen, Kum Fai, 2023. "Operational risk identification of maritime surface autonomous ship: A network analysis approach," Transport Policy, Elsevier, vol. 130(C), pages 1-14.
    3. Rudy R. Negenborn & Floris Goerlandt & Tor A. Johansen & Peter Slaets & Osiris A. Valdez Banda & Thierry Vanelslander & Nikolaos P. Ventikos, 2023. "Autonomous ships are on the horizon: here’s what we need to know," Nature, Nature, vol. 615(7950), pages 30-33, March.
    4. Puisa, Romanas & Montewka, Jakub & Krata, Przemyslaw, 2023. "A framework estimating the minimum sample size and margin of error for maritime quantitative risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Fan, Cunlong & Montewka, Jakub & Zhang, Di, 2022. "A risk comparison framework for autonomous ships navigation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Fan, Di & Lo, Chris K.Y. & Zhou, Yi, 2021. "Sustainability risk in supply bases: The role of complexity and coupling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    7. Utne, Ingrid Bouwer & Rokseth, Børge & Sørensen, Asgeir J. & Vinnem, Jan Erik, 2020. "Towards supervisory risk control of autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    8. Guo, Jian & Luo, Cheng & Ma, Kaijiang, 2023. "Risk coupling analysis of road transportation accidents of hazardous materials in complicated maritime environment," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    9. de Vos, Jiri & Hekkenberg, Robert G. & Valdez Banda, Osiris A., 2021. "The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    10. Eriksen, Stig & Utne, Ingrid Bouwer & Lützen, Marie, 2021. "An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    11. Ramos, M.A. & Thieme, Christoph A. & Utne, Ingrid B. & Mosleh, A., 2020. "Human-system concurrent task analysis for maritime autonomous surface ship operation and safety," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    12. Chang, Chia-Hsun & Kontovas, Christos & Yu, Qing & Yang, Zaili, 2021. "Risk assessment of the operations of maritime autonomous surface ships," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    13. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    14. Cheng, Tingting & Utne, Ingrid Bouwer & Wu, Bing & Wu, Qing, 2023. "A novel system-theoretic approach for human-system collaboration safety: Case studies on two degrees of autonomy for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    15. Guo, Yunlong & Jin, Yongxing & Hu, Shenping & Yang, Zaili & Xi, Yongtao & Han, Bing, 2023. "Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    16. Ganco, Martin, 2017. "NK model as a representation of innovative search," Research Policy, Elsevier, vol. 46(10), pages 1783-1800.
    17. Johansen, Thomas & Blindheim, Simon & Torben, Tobias Rye & Utne, Ingrid Bouwer & Johansen, Tor Arne & Sørensen, Asgeir J., 2023. "Development and testing of a risk-based control system for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    18. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2017. "Towards the assessment of potential impact of unmanned vessels on maritime transportation safety," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 155-169.
    19. Hai, Nan & Gong, Daqing & Liu, Shifeng & Dai, Zixuan, 2022. "Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    20. Liu, Zengkai & Ma, Qiang & Cai, Baoping & Shi, Xuewei & Zheng, Chao & Liu, Yonghong, 2022. "Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    21. Cheng, Tingting & Veitch, Erik A. & Utne, Ingrid Bouwer & Ramos, Marilia A. & Mosleh, Ali & Alsos, Ole Andreas & Wu, Bing, 2024. "Analysis of human errors in human-autonomy collaboration in autonomous ships operations through shore control experimental data," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    22. Huang, Wencheng & Yin, Dezhi & Xu, Yifei & Zhang, Rui & Xu, Minhao, 2022. "Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
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