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A decision support system for mission-based ship routing considering multiple performance criteria

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Listed:
  • Dong, You
  • Frangopol, Dan M.
  • Sabatino, Samantha

Abstract

It is crucial to evaluate the risk associated with marine vessels subjected to inclement weather and sea conditions when developing a decision support system for ship routing. The generalized decision making framework developed in this paper performs a variety of tasks, including, but not limited to quantifying the flexural and fatigue performance of ship structures and employing multi-attribute utility theory to evaluate ship mission performance. A structural reliability approach is utilized to compute the probability of failure considering the uncertainties in structural capacity and load effects; specifically, effects of flexural and fatigue damage are investigated. The expected repair cost, cumulative fatigue damage, total travel time, and carbon dioxide emissions associated with ship routing are considered as consequences within the risk assessment procedure adopted in this paper. Additionally, the decision maker’s risk attitude is integrated into the presented approach by employing utility theory. The presented methodology can assist decision makers in making informed decisions concerning ship routing. In order to illustrate its capabilities the approach is applied to the Joint High-speed Sealift Ship.

Suggested Citation

  • Dong, You & Frangopol, Dan M. & Sabatino, Samantha, 2016. "A decision support system for mission-based ship routing considering multiple performance criteria," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 190-201.
    • Handle: RePEc:eee:reensy:v:150:y:2016:i:c:p:190-201
    DOI: 10.1016/j.ress.2016.02.002
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    References listed on IDEAS

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    1. Decò, Alberto & Frangopol, Dan M., 2013. "Risk-informed optimal routing of ships considering different damage scenarios and operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 126-140.
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    Cited by:

    1. Yu, Qing & Teixeira, Ângelo Palos & Liu, Kezhong & Rong, Hao & Guedes Soares, Carlos, 2021. "An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Magdalena Ramirez-Peña & Francisco J. Abad Fraga & Jorge Salguero & Moises Batista, 2020. "Assessing Sustainability in the Shipbuilding Supply Chain 4.0: A Systematic Review," Sustainability, MDPI, vol. 12(16), pages 1-26, August.
    3. Zvyagina, Tatiana & Zvyagin, Petr, 2022. "A model of multi-objective route optimization for a vessel in drifting ice," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).

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