A risk matrix analysis method based on potential risk influence: A case study on cryogenic liquid hydrogen filling system

Duan, Yongsheng; Zhao, Jianli; Chen, Jingpeng; Bai, Guoyu

doi:10.1016/j.psep.2016.03.022

Cited by 57 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Secondly, ambiguity is reduced by providing, wherever possible, numerical values for likelihood and severity categorization. The resultant risk matrix is similar to that suggested in academia (Duan et al 2016;Dumbrava and Iacob 2013) and implemented in industries (Sutton 2010). The adopted risk criteria will be that risks must be resolved before they migrate into the intolerable risk category.…”

Section: Stage 1: Establishing the Contextsupporting

confidence: 72%

“…Step 3 presents numerous fuzzy membership functions can be used to represent the linguistic expressions, and the uncertainties and inaccuracies associated to these judgements. Out of which, trapezoidal fuzzy membership functions have been found to be one of the most practical (Duan et al 2016). For the probability categories defined in Step 2, the corresponding trapezoidal membership functions can be as illustrated in Fig.…”

Section: Fuzzy Probability Analysismentioning

confidence: 99%

See 1 more Smart Citation

Risk-Based Maintenance Planning for Rail Fastening Systems

Kaewunruen

Osman

Eric

2019

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

View full text Add to dashboard Cite

Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

show abstract

Section: Stage 1: Establishing the Contextsupporting

confidence: 72%

Section: Fuzzy Probability Analysismentioning

confidence: 99%

Risk-Based Maintenance Planning for Rail Fastening Systems

Kaewunruen

Osman

Eric

2019

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

View full text Add to dashboard Cite

show abstract

“…Various techniques are available in the literature to obtain the individual weight of the experts in a heterogeneous group. A simple averaging method, AHP, fuzzy AHP considering some criteria such as personal experience, job tenure, and education level.…”

Section: Developed Methodologymentioning

confidence: 99%

“…Using different types of fuzzy aggregation procedure for failure probabilities estimation in the typical probabilistic risk assessment techniques has been explained by the literatures . In addition, a combination of multicriteria decision‐making techniques such as analytical hierarchy process (AHP) and subjective probabilistic risk assessment methods has been used by the literatures . Other techniques in probabilistic risk assessment techniques such as simple risk matrix, FMEA, and reliability block diagrams have also engaged different elicitation and aggregation procedures by the literatures …”

Section: Introductionmentioning

confidence: 99%

“…[5][6][7][8][9] In addition, a combination of multicriteria decision-making techniques such as analytical hierarchy process (AHP) and subjective probabilistic risk assessment methods has been used by the literatures. [10][11][12][13] Other techniques in probabilistic risk assessment techniques such as simple risk matrix, FMEA, and reliability block diagrams have also engaged different elicitation and aggregation procedures by the literatures. [14][15][16][17][18][19] However, all aforementioned studies still suffer from the lack of reliability in the experts' opinions elicitation procedure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Introducing a heuristic approach to enhance the reliability of system safety assessment

Yazdi

2019

Quality & Reliability Eng

View full text Add to dashboard Cite

Probabilistic risk assessment techniques are the important tools which can considerably improve the safety performance of the studied system and reduce the risk to an acceptable level. Typically, decision‐making process is an important part of risk assessment methods that accordingly bring the ambiguity inside. Decision makers as experts commonly express their subjective opinions about the occurrence of the root events in order to obtain the probability of the undesired event. Subsequently, the critical root events are identified, and possible intervention is performed to reduce the probability of the critical events. However, the serious point is the viability of the obtained probabilities and priority ranking of the critical events. In this study, a heuristic optimization model of linear mathematical programming using triangular intuitionistic fuzzy number (TrIFN) is proposed to obtain the feasible, optimum, and reliable results compared with available methods. The Spearman correlation is performed to examine the reliability and behavior of the proposed model. In order to show the effectiveness of the proposed approach, it is applied on a real case study. The application of the model confirms its robustness to prioritize critical root events over the conventional one.

show abstract

A review on supervised machine learning for accident risk analysis: Challenges in Malaysia

Chong

Razak

Biak

et al. 2022

Process Safety Progress

View full text Add to dashboard Cite

The new Fourth Industrial Revolution (IR 4.0) trend is driven by the concept of automation and artificial intelligence (AI). However, Malaysia is slightly behind Singapore in terms of adopting AI innovation among ASEAN countries. This paper aims to conduct a literature review of machine learning to overcome subjectivity and bias in risk ranking decision‐making. An introduction to machine learning concerning accident risk analysis is presented, and the challenges of its application in Malaysia are discussed. Existing machine learning features were evaluated to identify the feasible application in industrial accident analysis and ensure safety decision‐making consistency. This review observed how the IR 4.0 approaches were used in the risk analysis, especially on supervised machine learning. This study also highlights the finding from the previous works on challenges in utilizing supervised machine learning, which is the need to have publicly accessible large database from industries and agencies such as the Department of Occupational Safety and Health (DOSH) Malaysia for the development of algorithms, which can potentially improve accident risk analysis and safety, especially for Malaysian industries.

show abstract

A risk matrix analysis method based on potential risk influence: A case study on cryogenic liquid hydrogen filling system

Cited by 57 publications

References 25 publications

Risk-Based Maintenance Planning for Rail Fastening Systems

Risk-Based Maintenance Planning for Rail Fastening Systems

Introducing a heuristic approach to enhance the reliability of system safety assessment

A review on supervised machine learning for accident risk analysis: Challenges in Malaysia

Contact Info

Product

Resources

About