Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

Zhou, Chunhui; Qin, Shixin; Jiahao, Zhong; Du, Lei; Zhang, Fan

doi:10.1016/j.oceaneng.2024.117089

Ocean Engineering

2024

DOI: 10.1016/j.oceaneng.2024.117089

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Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

Chunhui Zhou,

Shixin Qin,

Zhong Jiahao

et al.

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2024

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Cited by 2 publications

References 33 publications

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A semantic reasoning-based emergency rescue assistant decision method for maritime accidents involving chemicals

Guo,

Xiao,

Huang

et al. 2024

Ocean Engineering

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A semantic reasoning-based emergency rescue assistant decision method for maritime accidents involving chemicals

Guo,

Xiao,

Huang

et al. 2024

Ocean Engineering

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Markovian Maintenance Planning of Ship Propulsion System Accounting for CII and System Degradation

Garbatov,

Georgiev

2024

Energies

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The study’s objective is to create a method to select the best course of maintenance action for each state of ship propulsion system degradation while considering both the present and future costs and associated carbon intensity indicator, CII, rates. The method considers the effects of wind and wave action when considering fouling and ageing. The ship resistance in calm, wave, and wind conditions has been defined using standard operating models, which have also been used to estimate the required engine power, service speed, fuel consumption, generated CO2, CII, and subsequent maintenance costs. The maintenance takes into consideration the effects of profit loss because of lost opportunities and efficiency over time. Any maintenance choice has total costs associated with it, including extra fuel, upkeep, and missed opportunities. Using a discrete-time Markov chain, the ship’s propulsion system maintenance schedule is optimized. A decision has been reached regarding the specific maintenance measures to be undertaken for each state of the Markov chain among various alternatives. The choice of optimal maintenance is related to a Markov decision process and is made by considering both the current and future costs. The developed method can forecast the propulsion system’s future states and any required maintenance activities.

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Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

Cited by 2 publications

References 33 publications

A semantic reasoning-based emergency rescue assistant decision method for maritime accidents involving chemicals

A semantic reasoning-based emergency rescue assistant decision method for maritime accidents involving chemicals

Markovian Maintenance Planning of Ship Propulsion System Accounting for CII and System Degradation

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