FMEA in Smartphones: A Fuzzy Approach
Smartphones are attracting increasing interest due to how they are revolutionizing our lives. On the other hand, hardware and software failures that occur in them are continually present. This work aims to investigate these failures in a typical smartphone by collecting data from a class of people....
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/3/513 |
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| author | Esmeralda Kadena Sinan Koçak Katalin Takács-György András Keszthelyi |
| author_facet | Esmeralda Kadena Sinan Koçak Katalin Takács-György András Keszthelyi |
| author_sort | Esmeralda Kadena |
| collection | DOAJ |
| description | Smartphones are attracting increasing interest due to how they are revolutionizing our lives. On the other hand, hardware and software failures that occur in them are continually present. This work aims to investigate these failures in a typical smartphone by collecting data from a class of people. Concerns have been raised that call into question the efficiency of applied methods for identifying and prioritizing the potential defects. The widely used hybridized engineering method, Fuzzy Failure Mode and Effect Analysis (F-FMEA), is an excellent approach to solving these problems. The F-FMEA method was applied to prioritize the potential failures based on their Severity (S), expected Occurrence (O), and the likelihood of Detectability (D). After collecting failure data from different users on a selected smartphone, two well-known defuzzification methods facing the Risk Priority Number (RPN) in F-FMEA were applied. Despite this interest, to the best of our knowledge, no one has studied smartphone failures with a technique that combines the results of different fuzzy applications. Thus, to combine the results of the derived fuzzy subsystems for the average value, we suggest a summative defuzzification method. Our findings indicate that F-FMEA with a summative defuzzification procedure is a clear improvement on the F-FMEA method. Even though the summation method modifies close results of the defuzzification one, it was shown that it provides more accurate results. |
| first_indexed | 2024-03-09T23:31:15Z |
| format | Article |
| id | doaj.art-77719bcd6f444cc18f174ccfd4b5dd3d |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:31:15Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-77719bcd6f444cc18f174ccfd4b5dd3d2023-11-23T17:08:46ZengMDPI AGMathematics2227-73902022-02-0110351310.3390/math10030513FMEA in Smartphones: A Fuzzy ApproachEsmeralda Kadena0Sinan Koçak1Katalin Takács-György2András Keszthelyi3Doctoral School on Safety and Security Sciences, Óbuda University, H-1081 Budapest, HungaryDoctoral School on Safety and Security Sciences, Óbuda University, H-1081 Budapest, HungaryKeleti Károly Faculty of Business and Management, Óbuda University, H-1086 Budapest, HungaryKeleti Károly Faculty of Business and Management, Óbuda University, H-1086 Budapest, HungarySmartphones are attracting increasing interest due to how they are revolutionizing our lives. On the other hand, hardware and software failures that occur in them are continually present. This work aims to investigate these failures in a typical smartphone by collecting data from a class of people. Concerns have been raised that call into question the efficiency of applied methods for identifying and prioritizing the potential defects. The widely used hybridized engineering method, Fuzzy Failure Mode and Effect Analysis (F-FMEA), is an excellent approach to solving these problems. The F-FMEA method was applied to prioritize the potential failures based on their Severity (S), expected Occurrence (O), and the likelihood of Detectability (D). After collecting failure data from different users on a selected smartphone, two well-known defuzzification methods facing the Risk Priority Number (RPN) in F-FMEA were applied. Despite this interest, to the best of our knowledge, no one has studied smartphone failures with a technique that combines the results of different fuzzy applications. Thus, to combine the results of the derived fuzzy subsystems for the average value, we suggest a summative defuzzification method. Our findings indicate that F-FMEA with a summative defuzzification procedure is a clear improvement on the F-FMEA method. Even though the summation method modifies close results of the defuzzification one, it was shown that it provides more accurate results.https://www.mdpi.com/2227-7390/10/3/513smartphonesfailuresFMEAfuzzysummative defuzzification |
| spellingShingle | Esmeralda Kadena Sinan Koçak Katalin Takács-György András Keszthelyi FMEA in Smartphones: A Fuzzy Approach Mathematics smartphones failures FMEA fuzzy summative defuzzification |
| title | FMEA in Smartphones: A Fuzzy Approach |
| title_full | FMEA in Smartphones: A Fuzzy Approach |
| title_fullStr | FMEA in Smartphones: A Fuzzy Approach |
| title_full_unstemmed | FMEA in Smartphones: A Fuzzy Approach |
| title_short | FMEA in Smartphones: A Fuzzy Approach |
| title_sort | fmea in smartphones a fuzzy approach |
| topic | smartphones failures FMEA fuzzy summative defuzzification |
| url | https://www.mdpi.com/2227-7390/10/3/513 |
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