ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

Certa, Antonella; Enea, Mario; Galante, Giacomo Maria; Fata, Concetta Manuela La

doi:10.1016/j.cie.2017.04.018

Cited by 113 publications

(65 citation statements)

References 55 publications

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“…In this case, FMs ordinal classification has some merits compared to producing a complete ranking of FMs because 1) the ordinal classification of FMs presents them as a structure that is easy to understand and visualize; 2) FMs ordinal classification allows the risk analyst to quickly access or analyze them, and leads to a more efficient decision-making and action-taking process; 3) FMs ordinal classification is easily implementable and requires a short computational time to get the ordered classification results of FMs. These merits of ordinal classification of FMs have been presented in Certa et al [9]. To our knowledge, there are very few FMEA approaches that have focused on the ordinal classification of the FMs into ordinal classes with the exception of the approaches presented in Certa et al [9] and Lolli et al [41].…”

Section: A Decision Outcomesmentioning

confidence: 97%

“…These merits of ordinal classification of FMs have been presented in Certa et al [9]. To our knowledge, there are very few FMEA approaches that have focused on the ordinal classification of the FMs into ordinal classes with the exception of the approaches presented in Certa et al [9] and Lolli et al [41].…”

Section: A Decision Outcomesmentioning

confidence: 97%

“…However, deriving a complete ranking of FMs is sometimes infeasible in practice owing to a possibly large number of FMs that are being handled [7]. Furthermore, some real-life scenarios, such as FMEA do not require a complete ranking of FMs [9], [41]. Certa et al [9] developed an alternative approach for the criticality assessment of process/system FMs.…”

Section: Prioritization Of Fms In Fmeamentioning

confidence: 99%

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Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach

et al. 2019

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Failure mode and effect analysis (FMEA) is an effective risk-management tool, which has been extensively utilized to manage failure modes (FMs) of products, processes, systems, and services. Almost all FMEA models are concerned with how to get a complete risk order of FMs from highest to lowest risk. However, in many situations, it may be sufficient to classify the FMs into several ordinal risk classes. Meanwhile, generating a consensual decision is crucial for the FMEA problem because 1) reaching consensus will enhance the connections among FMEA participants, and 2) a highly accepted group solution to the FMEA problem can be generated. Thus, this study proposes a consensus-based group decision-making framework for FMEA with the aim of classifying FMs into several ordinal risk classes in which we assumed that FMEA participants provide their preferences in a linguistic way using possibilistic hesitant fuzzy linguistic information. In the FMEA framework, a consensus-driven methodology is presented to generate the weights of risk factors. Following this, an optimizationbased consensus rule guided by a minimum adjustment distance policy is devised, and an interactive model for reaching consensus is developed to generate consensual FM risk classes. In order to justify its validity of the proposal, our framework is applied for the risk evaluation of proton beam radiotherapy.Index Terms-Consensus, failure mode and effect analysis (FMEA), failure mode classification, multiattribute group decisionmaking, reliability management. NOMENCLATURE DDetection. FM Failure mode.

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Section: A Decision Outcomesmentioning

confidence: 97%

Section: A Decision Outcomesmentioning

confidence: 97%

Section: Prioritization Of Fms In Fmeamentioning

confidence: 99%

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Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach

et al. 2019

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“…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%

“…[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. The reason is that there is no benchmarking of their performance against external criteria.…”

Section: Introductionmentioning

confidence: 99%

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

Yazdi

2019

Quality & Reliability Eng

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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.

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Techniques for Modeling and Analysis of Censored Data Considering the FM Approach

2023

Advanced Techniques for Maintenance Modeling and Reliability Analysis of Repairable Systems

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ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

Cited by 113 publications

References 55 publications

Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach

Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach

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

Techniques for Modeling and Analysis of Censored Data Considering the FM Approach

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