2015
DOI: 10.15640/smq.v3n2a2
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Effective FMEA Analysis or Not?!

Abstract: Fuzzy failure mode and effects analysis (FMEA) is a means for identifying risk and opportunities and prioritizing them in order of importance in which solutions can then be implemented. This process leads itself to the creation of quantitative analysis that reveals future events so that actions can be taken to prevent failure or to minimize impacts to the system under development. Once the appropriate subject matter expert FMEA team completes their investigation, the Root Cause and Corrective Action process ca… Show more

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Cited by 4 publications
(3 citation statements)
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“…By cutting out nearly 40 steps to move these parts cut down a lot of risk factors. Recently, SRB failure analysis has been extensively studied by using Monte Carlo simulation [7,10], Hazard Platform [11], fuzzy FMEA [12], Failure analysis [13], Cause-consequence analysis [14], FMEA [15], Bayesian method [16], Critical safety analysis [17] There are many risks that NASA encountered during the development of the solid rocket booster. This study shows that by implementing a risk assessment process, such as scenario-driven hazard analysis (SDHA), these risks could be decreased.…”
Section: Literature Reviewmentioning
confidence: 99%
“…By cutting out nearly 40 steps to move these parts cut down a lot of risk factors. Recently, SRB failure analysis has been extensively studied by using Monte Carlo simulation [7,10], Hazard Platform [11], fuzzy FMEA [12], Failure analysis [13], Cause-consequence analysis [14], FMEA [15], Bayesian method [16], Critical safety analysis [17] There are many risks that NASA encountered during the development of the solid rocket booster. This study shows that by implementing a risk assessment process, such as scenario-driven hazard analysis (SDHA), these risks could be decreased.…”
Section: Literature Reviewmentioning
confidence: 99%
“…First, let's be realistic, that unless the individuals or teams involved in the design and construction applied the findings and recommendations presented in an FMEA to heart, even a fuzzy FMEA (Jenab & Moslehpour, 2015;Jenab et al, 2015a;Jenab et al, 2015b;Jenab & Kelley, 2015;Jenab & Pineau, 2015) One improvement would have been to better define the criticality rating variables to allow for better definitions and separation from their neighbors as shown in Table 4. The variables Numbers are the severity, 'S' denotes stage or time factor that may affect the overall severity, 'R' denotes redundancy if in place would reduce the probability of failure, and 'N' denotes non-existent criticality.…”
Section: Illustrative Examplementioning
confidence: 99%
“…One of the common methods of ensuring and improving the quality of technical systems being developed, aimed at preventing the occurrence of defects (inconsistencies) and reducing the negative effects of them, is the analysis of types and effects of potential defects (FMEA -Potential Failure Mode and Effects Analysis) [5,6,8 ]. FMEA has been used in the manufacture of complex technical objects for more than half a century, from space, aviation and military equipment to household appliances.…”
Section: Introductionmentioning
confidence: 99%