A perceptual computing–based method to prioritize intervention actions in the probabilistic risk assessment techniques

Abstract

Probabilistic risk assessment techniques as the systematic tools have been widely used on the different type of industrial sectors to reduce the estimated risk to an acceptable level. The fact is to design inherently safety; hazards have to be eliminated and reduced in risk as much as possible with the consideration of several interventions. In this regard, multicriteria decision making (MCDM) science is commonly integrated with the probabilistic risk assessment techniques to improve the safety performance of a system. Thus, it has been widely used to assist decision makers in controlling the identified process hazards in a different type of engineering applications. However, by increasing the complexity of industrial sectors as well as human being judgments, typical MCDM methods cannot highly guarantee their output results. According to this point, proposing MCDM methods based on mathematical programming have been interested in scholars due to high reliability and feasibility of the results. In this paper, we extended integration of MULTIMOORA approach with the Choquet integral under subjectivity circumstances to prioritize corrective actions in a typical probabilistic risk assessment technique. To illustrate the efficiency and feasibility of the proposed method, it has been applied in a real case study.

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

“…Failure modes (FMs) and effects analysis (FMEA) is a structural risk assessment technique that started in the aerospace industry in the 1960s. FMEA is widely used to define, identify, and eliminate potential failures; and because the risk assessment is a continuous procedure, process designs are often better improved . According to some evidence‐based experts' opinions from the FMEA team members, each FM will obtain risk priority number (RPN) to represent the level of its risk.…”

“…FMEA is widely used to define, identify, and eliminate potential failures; and because the risk assessment is a continuous procedure, process designs are often better improved. [1][2][3][4][5][6] According to some evidence-based experts' opinions from the FMEA team members, each FM will obtain risk priority number (RPN) to represent the level of its risk. Subsequently, some recommendations are provided on how FMs might be controlled to prevent them from having negative effects on the system.…”

Risk assessment on multimodal transport network based on quality function deployment

“…They established a risk assessment system for multimodal transport networks. Yazdi 27 extended the existing multi‐objective analysis method, and proposed a new ranking‐based risk assessment model by combining it with the corrective measures in the fuzzy environment. On the basis of historical accident data and expert opinions, Zhang et al 28 established a Bayesian belief network (BBN) risk assessment model that could be used to assess the consequences of accidents, which helped relevant companies to fully understand the probability of marine risks and the consequences of the accidents.…”

Ignorance‐aware safety and reliability analysis: A heuristic approach

“…Obviously, decision‐making science is an integrated part of safety and reliability analysis, which is inherently based on uncertainty . Uncertainty conceptually consists of two forms as structural and parameter uncertainties, respectively, reflecting the ambiguity in a model selection and the uncertainties in the input data . Once a reliable and appropriate dataset is available, both structural and parameter uncertainties can be properly accounted for in the safety and reliability analysis of the engineering system.…”

“…5,6 Uncertainty conceptually consists of two forms as structural and parameter uncertainties, respectively, reflecting the ambiguity in a model selection and the uncertainties in the input data. [7][8][9] Once a reliable and appropriate dataset is available, both structural and parameter uncertainties can be properly accounted for in the safety and reliability analysis of the engineering system. However, in the absence of appropriate data or improper availability of data, 10 the decision-making techniques have been widely developed and further integrated to deal with this situation.…”