A New Geometric Mean FMEA Method Based on Information Quality
Failure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8761847/ |
| _version_ | 1818945354089889792 |
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| author | Xinzhu Cao Yong Deng |
| author_facet | Xinzhu Cao Yong Deng |
| author_sort | Xinzhu Cao |
| collection | DOAJ |
| description | Failure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method based on information quality is presented. First, a fuzzy evaluation distribution form is proposed, which constructs a more flexible and reasonable expression of experts' opinions in decision-making. Second, a geometric mean method to combine several probability distributions based on information quality is proposed to calculate the RPN. Finally, a numerical case study is illustrated to show the efficiency of the proposed method. |
| first_indexed | 2024-12-20T07:57:47Z |
| format | Article |
| id | doaj.art-c59d6dff451d40bc8e111ace1577f526 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T07:57:47Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c59d6dff451d40bc8e111ace1577f5262022-12-21T19:47:37ZengIEEEIEEE Access2169-35362019-01-017955479555410.1109/ACCESS.2019.29285818761847A New Geometric Mean FMEA Method Based on Information QualityXinzhu Cao0Yong Deng1https://orcid.org/0000-0001-9286-2123School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaInstitute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, ChinaFailure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method based on information quality is presented. First, a fuzzy evaluation distribution form is proposed, which constructs a more flexible and reasonable expression of experts' opinions in decision-making. Second, a geometric mean method to combine several probability distributions based on information quality is proposed to calculate the RPN. Finally, a numerical case study is illustrated to show the efficiency of the proposed method.https://ieeexplore.ieee.org/document/8761847/Failure mode and effect analysis (FMEA)risk priority number (RPN)generalized information qualityprobability distributiongeometric mean |
| spellingShingle | Xinzhu Cao Yong Deng A New Geometric Mean FMEA Method Based on Information Quality IEEE Access Failure mode and effect analysis (FMEA) risk priority number (RPN) generalized information quality probability distribution geometric mean |
| title | A New Geometric Mean FMEA Method Based on Information Quality |
| title_full | A New Geometric Mean FMEA Method Based on Information Quality |
| title_fullStr | A New Geometric Mean FMEA Method Based on Information Quality |
| title_full_unstemmed | A New Geometric Mean FMEA Method Based on Information Quality |
| title_short | A New Geometric Mean FMEA Method Based on Information Quality |
| title_sort | new geometric mean fmea method based on information quality |
| topic | Failure mode and effect analysis (FMEA) risk priority number (RPN) generalized information quality probability distribution geometric mean |
| url | https://ieeexplore.ieee.org/document/8761847/ |
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