Abstract:<p>The Failure Mode and Effect Analysis (FMEA) has been developed by several researchers who have proposed distinct reference tables to score the Severity, Occurrence and Detection of a failure. This paper aims to evaluate, using AHP, several proposals for the application of Process FMEA, as well as to obtain and offer recommendations for its application. Five reference tables for Severity, six tables for Occurrence, and six tables for Detection are presented. These reference tables are evaluated for the… Show more
“…The concept of AHP and other pairwise comparison based techniques is based on the fact that it is much easier to make comparisons than direct evaluations. AHP [7] and other MCDM (Multiple-criteria decision-making) [8] methods have already been applied to improve FMEA studies by determining the weights of the S, O and D numbers to provide more interpretable RPNs and select a reference table that better reflects the judgments of the FMEA team [9] . Fuzzy approaches [10] including fuzzy AHP was also used to develop the limitations of the FMEA [11] , especially for the RPN calculation [12] and for a more accurate risk assessment [13] .…”
Section: Methods Detailsmentioning
confidence: 99%
“…With the help of Eq. (14) the estimated observation indices of the remaining four unknown risks are [4 , 7 , 9 , 1] in both cases when the calculations are based on the original A and the corrected Ac matrices. Fig.…”
The proposed method supports the determination of severity (S), occurrence (O), and detection (D) indices of Failure Modes and Effects Analysis (FMEA). Previously evaluated and previously not studied risks are compared in pairwise comparison. The analysis of the resulted pairwise comparison matrix provides information about the consistency of the risk evaluations and allows the estimation of the indices of the previously not evaluated risks. The advantages of the method include:
The pairwise comparison facilities the identification of risks that are otherwise difficult to evaluate
The inconsistency of existing FMEA studies can be highlighted and systematically reduced
The method can be generalized about a wide range of grading problems
“…The concept of AHP and other pairwise comparison based techniques is based on the fact that it is much easier to make comparisons than direct evaluations. AHP [7] and other MCDM (Multiple-criteria decision-making) [8] methods have already been applied to improve FMEA studies by determining the weights of the S, O and D numbers to provide more interpretable RPNs and select a reference table that better reflects the judgments of the FMEA team [9] . Fuzzy approaches [10] including fuzzy AHP was also used to develop the limitations of the FMEA [11] , especially for the RPN calculation [12] and for a more accurate risk assessment [13] .…”
Section: Methods Detailsmentioning
confidence: 99%
“…With the help of Eq. (14) the estimated observation indices of the remaining four unknown risks are [4 , 7 , 9 , 1] in both cases when the calculations are based on the original A and the corrected Ac matrices. Fig.…”
The proposed method supports the determination of severity (S), occurrence (O), and detection (D) indices of Failure Modes and Effects Analysis (FMEA). Previously evaluated and previously not studied risks are compared in pairwise comparison. The analysis of the resulted pairwise comparison matrix provides information about the consistency of the risk evaluations and allows the estimation of the indices of the previously not evaluated risks. The advantages of the method include:
The pairwise comparison facilities the identification of risks that are otherwise difficult to evaluate
The inconsistency of existing FMEA studies can be highlighted and systematically reduced
The method can be generalized about a wide range of grading problems
“…RCM processes frequently utilize four-point scales within the military community (NAVAIR, 2005; Department of Defense, 2012). The reader is referred to Aguilar and Salomon for a comparison of different scales (Aguiar, de Souza, & Salomon, 2010).…”
Section: Fmea Outputs Rating Scales and Validitymentioning
“…Through a survey in some companies in the automotive segment, Aguiar et al (2010) conclude that most of people who know and use FMEA do not see it as a powerful tool, but as something that needs to be done in order to satisfy regulatory requirements. One of the main reasons for this approach is that most FMEA are erroneously constructed and used.…”
Section: Implementation Of Process Fmeamentioning
confidence: 99%
“…Currently, the quality systems of Brazilian companies in the automotive sector follow the technical specification ISO/TS 16949 that somehow have inherited FMEA requirement from QS-9000 system. According to Aguiar et al (2010), FMEA should be used to perform risk assessment of understanding what the impacts on the costumer if the process were to fail. The team must analyze any action to minimize the risks of process and guide improvement activities.…”
Purpose-The purpose of this paper is to present a structured way for the definitions of the Process Failure Mode and Effect Analysis (FMEA) attributes, such as potential failure mode, potential cause and potential effect, in order to make it simpler to define the controls and scores. Design/methodology/approach-This study performs, through a case study in incoming inspection of raw material, the comparison of a conventional application of the Process FMEA with a proposal based on the concepts of process approach defined by ISO 9001. Findings-Even written in a form similar to a script, the application of Process FMEA is a very complex activity and, like most quality tools, before being applied, FMEA should be clearly understood by the team. One way to facilitate this understanding is considering the sequence of events in the failures analysis to understand their causes and effects, just as are the sequences of inputs and outputs in the definition of the process approach addressed in ISO 9001. Originality/value-This paper shows a simple way to better structure Process FMEA, facilitating meetings with multidisciplinary teams.
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