Risk Assessment of Failure Mode and Effects Analysis (FMEA) Under Hesitant Fuzzy Information

Liu, Yuan; Shen, Gongtian; Zhao, Zhong-Qiu; Wu, Zhanwen

doi:10.1784/insi.2019.61.4.214

Cited by 4 publications

(6 citation statements)

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“…To verify the effectiveness of our hybrid FMEA framework for risk assessment, this section we compare our method with some existing FMEA models under the same case study. These comparative methods contain the classical RPN method [49], the HF-VIKOR method [50], the HF-TOPSIS method [51], and the generalized TODIM method [52].…”

Section: Comparative Analysismentioning

confidence: 99%

“…Specifically, we first transform the HFSs into precise numerical values in [0,10] based on their scores, and then we utilize the classical FMEA method [49] to determine the RPN of each FM. Next, according to the distance measure between the HFSs [53] and the objective weights for risk indicators using the maximizing deviation method, we apply the HF-VIKOR [50], and HF-TOPSIS [51] to derive the compromise solution and the closeness coefficient of each FM, respectively. Finally, the generalized TODIM method [52] is extended into the hesitant fuzzy environment, and an extended generalized TODIM is developed for the risk prioritization.…”

Section: Comparative Analysismentioning

confidence: 99%

“…The proposed FMEA framework for risk analysis is more comprehensive and objective. ▪ Second, the HF-VIKOR [50], and HF-TOPSIS [51] methods for FMEA are based on the reference level models. The selection of the reference points has a strong influence on the final risk evaluation results.…”

Section: Comparative Analysismentioning

confidence: 99%

See 2 more Smart Citations

Risk Priority Evaluation of Power Transformer Parts Based on Hybrid Fmea Framework Under Hesitant Fuzzy Environment

Zeng

Chen

et al. 2022

FU Mech Eng

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The power transformer is one of the most critical facilities in the power system, and its running status directly impacts the power system's security. It is essential to research the risk priority evaluation of the power transformer parts. Failure mode and effects analysis (FMEA) is a methodology for analyzing the potential failure modes (FMs) within a system in various industrial devices. This study puts forward a hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools and CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, the hesitant fuzzy sets (HFSs) are used to depict the uncertainty in risk evaluation. Then, an improved HFWA (hesitant fuzzy weighted averaging) operator is adopted to fuse risk evaluation for FMEA experts. This aggregation manner can consider different lengths of HFSs and the support degrees among the FMEA experts. Next, the novel HFWGA (hesitant fuzzy weighted geometric averaging) operator with CRITIC weights is developed to determine the risk priority of each FM. This method can satisfy the multiplicative characteristic of the RPN (risk priority number) method of the conventional FMEA model and reflect the correlations between risk indicators. Finally, a real example of the risk priority evaluation of power transformer parts is given to show the applicability and feasibility of the proposed hybrid FMEA framework. Comparison and sensitivity studies are also offered to verify the effectiveness of the improved risk assessment approach.

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Section: Comparative Analysismentioning

confidence: 99%

Section: Comparative Analysismentioning

confidence: 99%

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Risk Priority Evaluation of Power Transformer Parts Based on Hybrid Fmea Framework Under Hesitant Fuzzy Environment

Zeng

Chen

et al. 2022

FU Mech Eng

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“…When conducting FMEA, the highest levels of all the risk factors should be taken seriously 60 ; therefore, the two kinds of reference HIFNs for risk factors can be defined as:

\begin{equation}r_j^ + = \left( {h_j^ + ,g_j^ + } \right) = \left( {\mathop {\max }\limits_{{\gamma _{ij}} \in {h_{ij}}} {\gamma _{ij}},\mathop {\min }\limits_{{\eta _{ij}} \in {g_{ij}}} {\eta _{ij}}} \right),j = 1,2, \ldots ,n\end{equation}

\begin{equation}r_j^ - = \left( {h_j^ - ,g_j^ - } \right) = \left( {\mathop {\min }\limits_{{\gamma _{ij}} \in {h_{ij}}} {\gamma _{ij}},\mathop {\max }\limits_{{\eta _{ij}} \in {g_{ij}}} {\eta _{ij}}} \right),j = 1,2, \ldots ,n\end{equation}

where

{l_h}

and

{l_g}

represent the length of

{h_{ij}}

and

{g_{ij}}

, respectively. Step 3 Calculate the distance between

{\alpha _{ij}}

…”

Section: The Proposed Approachmentioning

confidence: 99%

Failure mode and effect analysis using the hesitant intuitionistic fuzzy hybrid GRP approach with ordered comprehensive weights

et al. 2022

Quality & Reliability Eng

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Failure mode and effect analysis (FMEA), a multidisciplinary reliability analysis tool based on team evaluations, has been widely used in various industries. There are three critical issues in FMEA: the conversion of linguistic evaluations, the weights of risk factors, and the ranking mechanism of failure modes. Scholars have used various fuzzy theories and multi-attribute decision-making (MADM) methods to improve traditional FMEA, but there are still deficiencies. In this paper, the hesitant intuitionistic fuzzy set (HIFS), a concept that combines the intuitionistic fuzzy set (IFS) and the hesitant fuzzy set (HFS), is introduced into FMEA to convert linguistic evaluations. Some operators based on HIFS are proposed to process the converted data. Among them, a hesitant intuitionistic fuzzy comprehensive weighted Hamming distance (HIFCWHD) operator is proposed to compute the ordered comprehensive weight, effectively weakening the effect of extreme scores on results. The gray relational projection (GRP) method is adopted to determine the risk priority order of the failure modes. Finally, we give an illustrative case to demonstrate the effectiveness of the proposed FMEA method.

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“…Through an extensive FMEA literature review, some research gaps were found in this study. As mentioned earlier, FMEA is based on expert judgment [33]. In some cases, if the experts are not confident or unable to make appropriate judgments, that will lead to uncertainty in the risk analysis process [34,35].…”

Section: Chemical Industrymentioning

confidence: 99%

A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis

Liou

Liu

2020

Mathematics

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Reducing the potential risks in the manufacturing process to improve the reliability of the switched-mode power supply (SMPS) is a critical issue for the users’ safety. This paper proposes a novel failure mode and effects analysis (FMEA) model based on hybrid multiple criteria decision-making (MCDM), which adopts neutrosophic set theory into the proposed model. A developed neutrosophic Best Worst method (NBWM) is used to evaluate the weights of risk factors and determine their importance. Secondly, the neutrosophic Weight Aggregated Sum Product Assessments (NWASPAS) method is utilized to calculate the Risk Priority Number (RPN) of the failure modes. The proposed model improves the shortcomings of traditional FMEA and improves the practical applicability and effectiveness of the Best Worst method (BWM) and Weight Aggregated Sum Product Assessments (WASPAS) methods. In addition, this study uses neutrosophic logic to reflect the true judgments of experts in the assessment, which considers authenticity, deviation, and uncertainty to obtain more reliable information. Finally, an empirical case study from an SMPS company headquartered in Taiwan demonstrates the effectiveness and robustness of the proposed model. In addition, by comparing with two other FMEA models, the results show that the proposed model can more clearly reflect the true and effective risks in the assessment. The results can effectively help power supply manufacturers to assess risk factors and determine key failure modes.

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Risk Assessment of Failure Mode and Effects Analysis (FMEA) Under Hesitant Fuzzy Information

Cited by 4 publications

References 0 publications

Risk Priority Evaluation of Power Transformer Parts Based on Hybrid Fmea Framework Under Hesitant Fuzzy Environment

Risk Priority Evaluation of Power Transformer Parts Based on Hybrid Fmea Framework Under Hesitant Fuzzy Environment

Failure mode and effect analysis using the hesitant intuitionistic fuzzy hybrid GRP approach with ordered comprehensive weights

A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis

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