FMEA in Smartphones: A Fuzzy Approach

Esmeralda Kadena, Sinan Koçak, Katalin Takács-György and András Keszthelyi
Additional contact information
Esmeralda Kadena: Doctoral School on Safety and Security Sciences, Óbuda University, H-1081 Budapest, Hungary
Sinan Koçak: Doctoral School on Safety and Security Sciences, Óbuda University, H-1081 Budapest, Hungary
András Keszthelyi: Keleti Károly Faculty of Business and Management, Óbuda University, H-1086 Budapest, Hungary

Mathematics, 2022, vol. 10, issue 3, 1-17

Abstract: 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.

Keywords: smartphones; failures; FMEA; fuzzy; summative defuzzification (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/3/513/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/3/513/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:3:p:513-:d:742793

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().