FMEA in Smartphones: A Fuzzy Approach

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.

Fuzzy Logic in Risk Assessment of Production Machines Failure in Forming and Assembly Processes

“…These are i.e. using fuzzy logic in FMECA to analyse the reliability of cyber-power grid systems [3], a comparison of traditional and fuzzy FMEA in identifying risks in tests and calibration laboratories [4], in pharmaceutical production process [5], logistic systems failures during COVID-19 pandemic [6], problems with drought and other risk factors affecting the functioning of the agricultural industry [7], hazards that are connected with the underground coal mines [8], the IFF system used in military helicopters [9], collecting data from people by smartphones [10] and many more. Thus, fuzzy FMEA has many applications, due to the universal character of the FMEA method itself.…”

Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy

“…As a typical bottom-up technique for potential risk modeling and management [38], since it was introduced by NASA in 1960s [39], failure mode and effects analysis (FMEA) has been extensively used in practical applications, such as medical treatment [40,41], aircraft landing systems [42,43], the automotive industry [44,45], software engineering [46,47], and so on [48,49]. Traditional FMEA processes can be divided into five steps, including (1) assembling a team, (2) determining the scope of FMEA, (3) identifying potential failure modes and effects, (4) calculating the risk priority number (RPN) of each failure mode and ranking, and (5) reporting the analysis results [50].…”

Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System

“…The following systematic review [3] of papers on this topic, produced in the period between 1998 and 2018, points to a very quick increase in annual publications on FMEA improvement in the past two decades, after the publication of the review article by the above mentioned authors in 2013. The majority of papers selected the fuzzy logic system in an attempt to eliminate the disadvantages of the traditional FMEA based on "if-then" rules formed in fuzzy inference system (FIS) and improve upon calculated fuzzy RPN and risk prioritization, for example, for milling machines [4,5], environmental waste water treatment plant [6], automotive industry [7,8] and other industries [9][10][11][12][13][14][15]. For determining risk levels and prioritizing mitigation action for the risks, some authors have taken into account additional variables, for example, costs based on economic impact [16][17][18] or impact of assets, people, environment and/or reputation [19,20].…”