A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Expert Systems with Applications: An International Journal
Failure mode and effects analysis using a group-based evidential reasoning approach
Computers and Operations Research
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
Failure mode and effects analysis by data envelopment analysis
Decision Support Systems
A novel efficient approach for DFMEA combining 2-tuple and the OWA operator
Expert Systems with Applications: An International Journal
Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Risk prioritization in failure mode and effects analysis under uncertainty
Expert Systems with Applications: An International Journal
Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory
Expert Systems with Applications: An International Journal
Evaluating the risk of failure using the fuzzy OWA and DEMATEL method
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review: Risk evaluation approaches in failure mode and effects analysis: A literature review
Expert Systems with Applications: An International Journal
Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Failure mode and effects analysis (FMEA) is a widely used risk assessment tool for defining, identifying, and eliminating potential failures or problems in products, process, designs, and services. In traditional FMEA, the risk priorities of failure modes are determined by using risk priority numbers (RPNs), which can be obtained by multiplying the scores of risk factors like occurrence (O), severity (S), and detection (D). However, the crisp RPN method has been criticized to have several deficiencies. In this paper, linguistic variables, expressed in trapezoidal or triangular fuzzy numbers, are used to assess the ratings and weights for the risk factors O, S, and D. For selecting the most serious failure modes, the extended VIKOR method is used to determine risk priorities of the failure modes that have been identified. As a result, a fuzzy FMEA based on fuzzy set theory and VIKOR method is proposed for prioritization of failure modes, specifically intended to address some limitations of the traditional FMEA. A case study, which assesses the risk of general anesthesia process, is presented to demonstrate the application of the proposed model under fuzzy environment.