Application of Fuzzy Fault Tree Analysis (FFTA) to maritime industry: A risk analysing of ship mooring operation

Kuzu, Ali Cem; Akyüz, Emre; Arslan, Özcan

doi:10.1016/j.oceaneng.2019.03.029

Cited by 104 publications

(16 citation statements)

References 16 publications

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“…Then, the corresponding fuzzy values were determined using Zhang et al's method [ 36 ], so that after defining and selecting the experts according to the criteria of organizational rank, experience, results, and age, the weighted average of the experts was determined. Trapezoidal fuzzy membership functions were used to fuzzify the data, and equation (2) was used for the purpose of fuzzifying and converting fuzzy numbers into crisp failure possibility(CFP).Then, in order to convert the CFP into probability numbers, the equation provided by Onisawa (Equation (3) ) was used [ 37 ].

…”

Section: Methodsmentioning

confidence: 99%

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Mohammadi,

Laal,

Mohammadian

et al. 2023

Heliyon

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…”

Section: Methodsmentioning

confidence: 99%

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Mohammadi,

Laal,

Mohammadian

et al. 2023

Heliyon

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“…Fault Tree Analysis, an analytical technique, follows a top-down approach to identify potential causes of system failures (Cem Kuzu et al, 2019;Cheng et al, 2013;Gachlou et al, 2019). This method has been applied in various industries, such as construction (Chi et al, 2014) and cybersecurity (Henriques de Gusmão et al, 2018), to represent the causal relationships between causes and events.…”

Section: Methods Used For Interrelationship Modelingmentioning

confidence: 99%

“…Fault Tree Analysis, an analytical technique, follows a top-down approach to identify potential causes of system failures (Cem Kuzu et al. , 2019; Cheng et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing pharmaceutical industry risks under uncertainty for performance improvement: an Indian scenario

Sharma,

Kumar,

Arora

2023

BPMJ

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PurposeThe pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the mitigation efforts. Therefore, the present work identifies and categorizes various risks/sub-risks in cause–effect groups, considering uncertainty in the decision-making process.Design/methodology/approachAn extensive literature review and experts' opinions were utilized to identify and finalize the risks faced by the pharmaceutical industry. For further analysis, data collection was done using a questionnaire focusing on finalized risks. Based on the data, the causal relation under uncertainty between various risks/sub-risks was identified using a multi-criteria decision making (MCDM) technique, i.e. intuitionistic fuzzy DEMATEL, in a pairwise manner.FindingsThe results show that the three most prominent risk categories are operational, demand/customer/market and financial. Also, out of the seven main risks, only supplier and operational are categorized within the effect group and the rest, i.e. financial, demand, logistics, political and technology within the cause group. The sub-risks within each category have also been categorized into cause–effect groups. The mitigation of cause group risks will help in economize the financial resources and improve the performance and resilience of the industry.Originality/valueThere is insufficient research on identifying the causality among the pharmaceutical industry risks. Additionally, an extensive discussion on the identified cause–effect groups is also missing in the literature. Therefore, in this work, efforts have been made to determine the prominent risks for the Indian pharmaceutical industry that will be helpful for channelizing the resources to mitigate risks for a resilient industry.

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“…Predecessors have made many contributions to the safety analysis of ship mooring system. Ali C. K. et al adopted A Fuzzy Fault Tree Analysis to perform systematic risk analysing on the case of ship mooring operation [1]. Vytautas Paulauskas et al used a numeral simulation method to calculate the loads of a moored ship acting on quay wall mooring system under crosscurrent conditions [2][3].…”

Section: Introductionmentioning

confidence: 99%

Mooring Safety Analysis of Cable Breaking Accident of a Very Large Ore Carrier under Extreme Windy Weather Based on Numerical Simulation

Xueyuan Zhu, 3Jie Zhang, Junpo Liu

2024

jes

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Mooring forces and their uniformity are important indexes used to ensure the safety of mooring systems. In this study, a process analysis for ship cable breaking accidents is conducted through numerical simulation based on OPTIMOOR to analyze the mooring conditions of a 300,000-ton very large ore carrier (VLOC) cable breaking accident under extreme windy weather. Numerical simulation of the cable force of the vessel mooring accident is performed by using the proposed method, which basically restores the cable breaking accident under the windy weather. On the basis of the accident analysis of the VLOC and the comparative test under the assumption, a reasonable conclusion is obtained by discussing mooring safety under two modes, namely, ‘preadjusting the cable’ and ‘not adjusting the cable’. The numerical simulation research methods and conclusions presented in this paper can provide reliable reference for ship engineering and Marine investigation.

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Application of Fuzzy Fault Tree Analysis (FFTA) to maritime industry: A risk analysing of ship mooring operation

Cited by 104 publications

References 16 publications

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Dynamic risk assessment of storage tank using consequence modeling and fuzzy Bayesian network

Analyzing pharmaceutical industry risks under uncertainty for performance improvement: an Indian scenario

Mooring Safety Analysis of Cable Breaking Accident of a Very Large Ore Carrier under Extreme Windy Weather Based on Numerical Simulation

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