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Failure modes in the maritime transportation system: a functional approach to throughput vulnerability

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Listed:
  • Øyvind Berle
  • James B. Rice Jr.
  • Bjørn Egil Asbørnslett

Abstract

Maritime Transportation Systems (MTSs) are essential for world trade; it is crucial to understand how these systems may fail, to be able to maintain their capacity. In this paper, the MTS is seen as a throughput mechanism; a technical system which serves its purpose by moving goods for its dependents. Understanding which key functions and capabilities are prerequisite for the ability to move goods, the loss of which are the failure modes, allows for the creation of a ‘business continuity plan’ for the MTS. Through two surveys and interviews with maritime transportation industry stakeholders, it was observed that while stakeholders in the industry have a solid focus on frequent operational risks, there is a lack of awareness of vulnerabilities, as well as methods for addressing and planning for low-frequency high-impact disruption scenarios. The presented approach provides a structured set of matrices of the key functions of the MTS, allowing stakeholders to increase the system's resilience through preparing to restore this limited number of critical functions.

Suggested Citation

  • Øyvind Berle & James B. Rice Jr. & Bjørn Egil Asbørnslett, 2011. "Failure modes in the maritime transportation system: a functional approach to throughput vulnerability," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(6), pages 605-632, March.
    • Handle: RePEc:taf:marpmg:v:38:y:2011:i:6:p:605-632
    DOI: 10.1080/03088839.2011.615870
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    1. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, April.
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    2. Liu, Honglu & Tian, Zhihong & Huang, Anqiang & Yang, Zaili, 2018. "Analysis of vulnerabilities in maritime supply chains," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 475-484.
    3. Chen, Hong & Lam, Jasmine Siu Lee & Liu, Nan, 2018. "Strategic investment in enhancing port–hinterland container transportation network resilience: A network game theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 83-112.
    4. Laure Rousset & César Ducruet, 2020. "Disruptions in Spatial Networks: a Comparative Study of Major Shocks Affecting Ports and Shipping Patterns," Post-Print halshs-02588551, HAL.
    5. César Ducruet, 2016. "The polarization of global container flows by interoceanic canals: geographic coverage and network vulnerability," Post-Print halshs-00749639, HAL.
    6. Jasper Verschuur & Raghav Pant & Elco Koks & Jim Hall, 2022. "A systemic risk framework to improve the resilience of port and supply-chain networks to natural hazards," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 489-506, September.
    7. Guangying Jin & Wei Feng & Qingpu Meng, 2022. "Prediction of Waterway Cargo Transportation Volume to Support Maritime Transportation Systems Based on GA-BP Neural Network Optimization," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    8. Zhongyun Yue & John Mangan, 2024. "A framework for understanding reliability in container shipping networks," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(3), pages 523-544, September.
    9. Laure Rousset & César Ducruet, 2020. "Disruptions in Spatial Networks: a Comparative Study of Major Shocks Affecting Ports and Shipping Patterns," Networks and Spatial Economics, Springer, vol. 20(2), pages 423-447, June.
    10. Liu, Yang & Ma, Xiaoxue & Qiao, Weiliang & Ma, Laihao & Han, Bing, 2024. "A novel methodology to model disruption propagation for resilient maritime transportation systems–a case study of the Arctic maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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    13. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
    14. Kuźmicz Katarzyna Anna, 2022. "Impact of the COVID-19 Pandemic Disruptions on Container Transport," Engineering Management in Production and Services, Sciendo, vol. 14(2), pages 106-115, June.
    15. Panahi, Roozbeh & Ng, Adolf K.Y. & Pang, Jiayi, 2020. "Climate change adaptation in the port industry: A complex of lingering research gaps and uncertainties," Transport Policy, Elsevier, vol. 95(C), pages 10-29.
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    17. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    18. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    19. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
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