An interval probability‐based FMEA model for risk assessment: A real‐world case

Ouyang, Linhan; Zheng, Wei; Zhu, Yige; Zhou, Xiaojian

doi:10.1002/qre.2563

Cited by 43 publications

(26 citation statements)

References 44 publications

(71 reference statements)

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“…The fuzzy AHP primarily integrates the fuzzy consensus matrix and the analytic hierarchy process to preserve not only the fuzziness but also ensure the consistency of the judgment matrix. 13,28 The steps for calculating the subjective weights of risk factors using fuzzy AHP are presented as follows:…”

Section: The Proposed Fmea Methodsmentioning

confidence: 99%

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Yang

et al. 2021

Quality & Reliability Eng

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Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method.

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Section: The Proposed Fmea Methodsmentioning

confidence: 99%

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Yang

et al. 2021

Quality & Reliability Eng

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“…applied the EDAS method through the grey set theory. Moreover, the RPN is simply calculated, modifying the standard procedure in an alternative manner 28,29 …”

Section: Literature Reviewmentioning

confidence: 99%

A new hybrid MCDM approach for RPN evaluation for a medical device prototype

Pintelon

Nardo

Murino

et al. 2021

Quality & Reliability Eng

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The Failure Mode and Effect Analysis (FMEA) is a useful instrument born in the aerospace industry and widely used to improve a process or product's efficiency. Over the years, this instrument has been adopted in increasingly different contexts, such as HealthCare. This paper proposes an approach aimed at improving the defects typical of the classic FMEA in the design phase, that is, in a scenario full of uncertainties and with little information available, using a new hybrid Multiple‐criteria decision‐making (MCDM) method in order to obtain a priority index more performant than Risk Priority Number (RPN). In the proposed method, the three assessment criteria have a different weighting in the index's final computation, differently from the classical RPN. These weights are obtained with a scientific technique, thus avoiding that excessive subjectivity influences the final result. A more efficient priority index is obtained through a new hybrid approach that solves some classical RPN gaps. A case study concerning an endoscope Ear Nose Throat Entropy (ENT) prototype is examined to illustrate the proposed method. FMEA analysis in HealthCare is increasingly used for its flexibility and reliability. This study focuses on using new techniques to eliminate certain defects or exploit some qualities better. The use of a robust and elastic innovative MCDM method to calculate a new priority index and a scientific technique to obtain the weight of the selection are the interesting insights proposed in this paper.

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“…Each RPN parameter (S, P, and D) is ranked from 1 (lowest) to 10 (highest). The RPN does not play an important role when choosing an action against FMs; however, it may help in obtaining the threshold values for deciding the areas to focus on [9], [66], [67]. Then, the FTA is applied to estimate the overall failure rate using common FTA symbols such as basic events, AND-gate, OR-gate, and top or intermediate events [23], [68].…”

Section: ) Step 1: Hybrid Model For Fmeca and Ftamentioning

confidence: 99%

Composite Hybrid Framework for Through-Life Multi-Objective Failure Analysis and Optimisation

Appoh

Yunusa‐Kaltungo

2021

IEEE Access

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Complex engineering systems include several subsystems that interact in a stochastic and multifaceted manner with multiple failure modes (FMs). The dynamic nature of FMs introduces uncertainties that negatively impact the reliability, risk, and maintenance of complex systems. Traditional approaches of adopting standalone techniques for managing FMs independently at various stages of the asset life cycle pose challenges related to utilisation, costs, availability, and in some cases, accidents. Therefore, this paper proposes a composite hybrid framework comprising four independent hybrid models for comprehensive through-life failure management and optimisation. The first hybrid model entails failure mode, effects, and criticality analysis (FMECA) and fault tree analysis (FTA) to identify critical FMs and overall subsystem failure rates. The second hybrid model analyses FMs caused by multiple subsystems using hybrid dynamic Bayesian discretisation. The third hybrid model adopts a hybrid Gaussian process regression machine learning technique to evaluate wear loss. The fourth hybrid model evaluates the overall risk using a Bayesian factorisation and elimination method based on multiple failure causes. Finally, a decision-making step is used to evaluate the results of the previous four steps to decide an appropriate maintenance strategy. The proposed method is verified through a case study of a UK-based train operator's pantograph system. The results show that the maintenance inspection intervals and strategy obtained using the proposed framework strike a good balance between safety and fleet availability.

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An interval probability‐based FMEA model for risk assessment: A real‐world case

Cited by 43 publications

References 44 publications

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

A new hybrid MCDM approach for RPN evaluation for a medical device prototype

Composite Hybrid Framework for Through-Life Multi-Objective Failure Analysis and Optimisation

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