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.
Highlights
Revolutionary technology is continuously changing humans and organizational behaviors
They are comprised of a combination of interacting elements that can be prone to failures
The results showed that the device shell and screen were more prone to failures
Summary
Revolutionary technology is continuously changing humans and organizational behaviors. Smartphones significantly impact social, business, education, and healthy life. The impacts can be perceived both positively and negatively [1]. Technology offers several benefits, concerns have grown over the problematic nature of smartphones. Like any system, they are comprised of a combination of interacting elements that can be prone to failures. They are comprised of a combination of interacting elements that can be prone to failures Any of these elements can contribute to the likelihood of defects and error occurrence. Some of the defensive “layers” in such systems are automated and engineered, while others rely on humans [2]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
