A new fuzzy evidential reasoning method for risk analysis and control of a liquefied natural gas carrier system

Nwaoha, Thaddeus C.; Yang, Zaili; Wang, J; Bonsall, Stephen

doi:10.1177/1475090211411849

Cited by 11 publications

(8 citation statements)

References 23 publications

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“…Ölçer and Odabasi 43 also applied FST for the selection of the best propulsion/manoeuvring system of a passenger vessel. Moreover, Gaonkar et al 5 studied the condition monitoring of a ship turbine, while Nwaoha et al 44 elaborated on the risk analysis and control of a liquefied natural gas ship.…”

Section: Methodsmentioning

confidence: 99%

Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment

Lazakis

Ölçer

2015

Proceedings of the Institution of Mechanical Engineers, Part M:

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Many maintenance approaches have been developed and applied successfully in a variety of sectors such as aviation and nuclear industries over the years. Some of those have also been employed in the maritime industry such as condition based maintenance; however, choosing the best maintenance approach has always been a big challenge due to the involvement of many attributes and alternatives which can also be associated with multiple experts and vague information. In order to accommodate these aspects, and as part of an overall novel Reliability and Criticality Based Maintenance strategy, an existing fuzzy multiple attributive group decision-making technique is employed in this study, which is further enhanced with the use of Analytical Hierarchy Process to obtain a better weighting of the maintenance attributes used. The fuzzy multiple attributive group decision-making technique has three distinctive stages, namely rating, aggregation and selection in which multiple experts’ subjective judgments are processed and aggregated to be able to arrive at a ranking for a finite number of maintenance options. To demonstrate the applicability in a real-life industrial context, the technique is exemplified by selecting the best maintenance approach for shipboard equipment such as the diesel generator system of a vessel. The results denote that preventive maintenance is the best approach closely followed by predictive maintenance, thus steering away from the ship corrective maintenance framework and increasing overall ship system reliability and availability

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Section: Methodsmentioning

confidence: 99%

Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment

Lazakis

Ölçer

2015

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Very Table 2. The distance represents the extent to which C l i is confirmed to each of the defined utility expressions [5,15,20,21]. Equation 2, can be used to obtain the aforementioned distance.…”

Section: Fuzzy Membership and Their Categoriesmentioning

confidence: 99%

Fuzzy Cost Modelling of Diving Chamber Control Measures under Uncertainties

Nwaoha

Emovon

2020

Pomorstvo (Online)

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The diving chamber is an important system needed for diving operations in the oil and gas industry. Divers use it for various purposes. Thus, the safety level of the diving chamber needs to be very high at all times and the system needs to be in a good state. To achieve this, various control measures such as control measures 1 and 2 can be adopted in preventing failures/hazards or mitigate their consequences. In this study, fuzzy cost algorithm is used to estimate the cost of using control measures 1 and 2 in ensuring optimal operational level for the diving chamber, while the preference degree approach is adopted in prioritizing the aforementioned cost of control measures 1 and 2. The result of the analysis indicated that control measure 2 is the most cost effective approach.

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“…Costal structures like wind turbines [9], optimisation of harbours [10] and harbour monitoring [11] for reliability are other creative areas of risk analysis carried out in marine areas beyond ships and offshore structures. However, the literature review reveals very little on risk analysis on structures used in bringing ships in and out of water for repairs.…”

Section: Problem Definitionmentioning

confidence: 99%

Application of Fault Tree – Bayesian Network for Graving Dock Gate Failure Analysis

2018

IJASRE

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A new fuzzy evidential reasoning method for risk analysis and control of a liquefied natural gas carrier system

Cited by 11 publications

References 23 publications

Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment

Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment

Fuzzy Cost Modelling of Diving Chamber Control Measures under Uncertainties

Application of Fault Tree – Bayesian Network for Graving Dock Gate Failure Analysis

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