Application of artificial intelligence in the process of supporting the ship owner’s decision in the management of ship machinery crew in the aspect of shipping safety

Łosiewicz, Z.; Nikończuk, P.; Pielka, Dariusz

doi:10.1016/j.procs.2019.09.394

Cited by 21 publications

(9 citation statements)

References 8 publications

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“…Due to continuous changes in the navigation environments of ships and the continuous improvement of shipping safety requirements, the complexity and suddenness of the current ship risk mitigation situation has become increasingly serious [ 31 ]. The risk mitigation effectiveness of this common SRMS adopting single-point strict prevention means is worsening.…”

Section: Model Establishmentmentioning

confidence: 99%

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

Jun

Qiao

2022

IJERPH

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Accurate evaluation of the risk mitigation status of navigating ships is essential for guaranteeing navigational safety. This research mainly focuses on the feasibility and accuracy of evaluating the real effectiveness of a risk mitigation system for navigating ships, including addressing the problem of immeasurableness for risk mitigation capability and determining the degradation regulation of risk mitigation capability over time. The proposed method to solve the problem is an effectiveness evaluation model based on the capability perspective, composed of a capability measurement algorithm based on entropy theory and capability degradation regulation analysis based on numerical process fitting. First, combined with the theoretical framework of a comprehensive defence system, the risk mitigation system designed for navigating ships is reconstructed based on capability building. Second, using a numerical fitting method, the degradation regulation of risk mitigation capability with time is obtained to improve the accuracy of the dynamic evaluation. Finally, referring to entropy theory, the uncertainty of capability is calculated, and then the model is constructed based on this uncertainty to realize the effectiveness evaluation from a capability perspective. The results obtained in an application test of the proposed model indicate that using the entropy of capability can realize an accurate effectiveness evaluation of a risk mitigation system for navigating ships, with a 9% improvement in accuracy, and the Weibull curve fitting is more consistent with capability degradation regulation, with a signification level of 2.5%. The proposed model provides a new path for evaluating the effectiveness of a risk mitigation system for navigating ships from the entropy of capability, and compared with the traditional probabilistic method, the model is more realistic and accurate in actual applications.

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Section: Model Establishmentmentioning

confidence: 99%

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

Jun

Qiao

2022

IJERPH

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“…The combination of Bayesian networks and other analysis techniques, such as fuzzy theory [19] and data-driven methods [20], is one of the popular methodologies. In addition, artificial intelligence [21] and neural networks [22] have also been successfully applied to evaluate the risk exerted on the maritime shipping operations. According to the existing studies, the risks involved in maritime shipping are characterized by complication, uncertainty, and unpredictability, and therefore, it is urgent to propose a well-designed safety management system (SMS) to control those risks effectively.…”

Section: Related Workmentioning

confidence: 99%

Cognitive Gap and Correlation of Safety-I and Safety-II: A Case of Maritime Shipping Safety Management

Qiao

Liu

et al. 2021

Sustainability

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In contrast to the conventional safety management principle, namely, safety-I, which focuses on “what goes wrong”, a new-born safety philosophy (safety-II) inspires people to investigate “how and why things go right”. In the present study, the cognitive difference and correlation between safety-I and safety-II in the maritime shipping industry are explored and investigated. For this purpose, a questionnaire is administered to survey seafarers and maritime experts, and semi-structured interviews are conducted to collect original data associated with safety-I and safety-II. Then, the data from seafarers and maritime experts are further processed by empirical statistical methods and fuzzy analytic hierarchy process (AHP) methodology. The results show that impacting factors associated with individual aspects are usually accepted as dominant with respect to views of safety-I, while organizational factors are more influential for safety-II, which is essential to developing an organizational resilience capacity. Based on the findings and discussions, potential safety countermeasures that integrate safety-I and safety-II are proposed in this article. The present study discusses the new-born safety-II perspective to elucidate the safety issues associated with maritime shipping operations, which can be seen as the main innovation of this work.

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“…The IDMS mainly refers to the analysis and decision-making of the fusion information by using the corresponding AI algorithm and providing the necessary instructions, including optimization of the ship's route and speed, and the activation of automatic collision avoidance during the ship's rendezvous [24].…”

Section: A Compositionmentioning

confidence: 99%

A Methodology to Evaluate the Effectiveness of Intelligent Ship Navigational Information Monitoring System

Jun

Liu

et al. 2020

IEEE Access

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The perception and acquisition of navigation-related information are essential for the safety of intelligent ship. To address the effectiveness of navigational information monitoring system designed for the intelligent ship, in the present study, a comprehensive evaluation methodology is proposed. The various functions designed for obtaining corresponding navigational information are reorganized to develop the structure of intelligent ship navigational information monitoring system, which is subjected to evaluate the effectiveness by analyzing the information behavior processes in this proposed system and the available information monitoring technologies applied on intelligent ships. The orthogonal exploratory analysis technique was applied to establish the functional relationship between system effectiveness and contributing subsystems, as a result, the contribution degree distribution of contributing subsystems identified for system effectiveness is obtained. Finally, an application of the proposed methodology verifies its feasibility in calculating system effectiveness and its potential to extend to intelligent ships at different levels. The present study provides a new perspective to understand the safety of intelligent ships, and the comprehensive evaluation methodology provides a new path for the effectiveness analysis of intelligent ship navigational information monitoring system.

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Application of artificial intelligence in the process of supporting the ship owner’s decision in the management of ship machinery crew in the aspect of shipping safety

Cited by 21 publications

References 8 publications

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

Cognitive Gap and Correlation of Safety-I and Safety-II: A Case of Maritime Shipping Safety Management

A Methodology to Evaluate the Effectiveness of Intelligent Ship Navigational Information Monitoring System

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