Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

Wu, Bing; Yan, Xinping; Wang, Yan; Soares, C. Guedes

doi:10.1016/j.ssci.2016.04.026

Cited by 50 publications

(38 citation statements)

References 48 publications

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“…There are some methods widely used to deal with the optimization problem with uncertain data, such as stochastic optimization, fuzzy optimization and robust optimization[ 6 ]. For the method of stochastic optimization, the probability distribution of random variables should be known.…”

Section: Methodsmentioning

confidence: 99%

“…The expected demand and density function is identified by exponential smoothing method, TOPSIS and etc[ 2 , 4 , 5 ]. However, if the variation law of emergency demand is not obvious or the historical data about emergency demand is not available, the method of fuzzy logic and consistency-based linear programming could be used to integrate the associated influencing factors in the analysis of uncertainty caused by risk [ 6 ]. As is similar to dynamic demand, uncertainty is inherent to risk analysis.…”

Section: Introductionmentioning

confidence: 99%

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Optimized maritime emergency resource allocation under dynamic demand

2017

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Emergency resource is important for people evacuation and property rescue when accident occurs. The relief efforts could be promoted by a reasonable emergency resource allocation schedule in advance. As the marine environment is complicated and changeful, the place, type, severity of maritime accident is uncertain and stochastic, bringing about dynamic demand of emergency resource. Considering dynamic demand, how to make a reasonable emergency resource allocation schedule is challenging. The key problem is to determine the optimal stock of emergency resource for supplier centers to improve relief efforts. This paper studies the dynamic demand, and which is defined as a set. Then a maritime emergency resource allocation model with uncertain data is presented. Afterwards, a robust approach is developed and used to make sure that the resource allocation schedule performs well with dynamic demand. Finally, a case study shows that the proposed methodology is feasible in maritime emergency resource allocation. The findings could help emergency manager to schedule the emergency resource allocation more flexibly in terms of dynamic demand.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized maritime emergency resource allocation under dynamic demand

2017

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“…There are more than 60 coastal patrol vessels allocated in this waterway area, and according to the regulations of the Maritime Safety Administration (MSA), the coastal patrol vessel should arrive within 15 min to the port area and restricted areas, within 30 min to the fairway, and within 45 min to the other waterway areas. 7 Apart from this specialized search and rescue resources, non-governmental forces are also allocated along the river and they have made a significant contribution to life salvage. According to the statistics of Jiangsu MSA, the non-governmental forces in maritime accidents have rescued more than 600 people, which are approximately 90% of people in distress.…”

Section: Background Of Collision Accidents In the Downstream Of Yangtmentioning

confidence: 99%

A probabilistic consequence estimation model for collision accidents in the downstream of Yangtze River using Bayesian Networks

Tian

Yan

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part O:

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Collision is a major type of accident in maritime transportation, which in the downstream of Yangtze River is even more pronounced due to specific features that have significant impact on the collision consequence, including a special lane for small-sized ships, traffic intensity variation with the tide period, many restricted areas, and emergency resources spread along the river. This article models the collision consequences in the downstream of Yangtze River using Bayesian Networks, considering the causation factors and including a novel approach for the emergency management of maritime accidents. The graphical structure lies on domain experts and on previous works, while the conditional probability tables are developed from historical data. Both the graphical structure and parameters are validated using the well-known methods, which reflects that the developed model is reasonable. The merits of the proposed consequence estimation model that considers emergency management includes (1) a detailed description of the collision accident development and (2) consequence estimation result with good accuracy.

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“…Another widely used method is the multiple‐attribute decision‐making model, which is to select the best alternative under a finite number of attributes . The main drawback of this method is that it requires too many expert judgments during decision making, which will not be time sensitive if there are too many alternatives.…”

Section: Introductionmentioning

confidence: 99%

“…Another widely used method is the multipleattribute decision-making model, which is to select the best alternative under a finite number of attributes. (25,26) The main drawback of this method is that it requires too many expert judgments during decision making, which will not be time sensitive if there are too many alternatives. Considering that there are multiple organizations involved in NUC ship handling, this method would be difficult to implement because of the time limitations of emergency response.…”

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confidence: 99%

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three-stage decision-making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well-organized management of NUC ships.

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Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

Cited by 50 publications

References 48 publications

Optimized maritime emergency resource allocation under dynamic demand

Optimized maritime emergency resource allocation under dynamic demand

A probabilistic consequence estimation model for collision accidents in the downstream of Yangtze River using Bayesian Networks

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

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