Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Using fuzzy cognitive maps as a system model for failure modes and effects analysis
Information Sciences: an International Journal
Fuzzy inference to risk assessment on nuclear engineering systems
Applied Soft Computing
Predicting uncertain behavior of industrial system using FM-A practical case
Applied Soft Computing
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
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
Conceptual process planning - an improvement approach using QFD, FMEA, and ABC methods
Robotics and Computer-Integrated Manufacturing
A risk assessment methodology using intuitionistic fuzzy set in FMEA
International Journal of Systems Science
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Failure mode and effects analysis (FMEA) is one of the well-known techniques of quality management that is used for continuous improvements in product or process designs. While applying this technique, determining the risk priority numbers, which indicate the levels of risks associated with potential problems, is of prime importance for the success of application. These numbers are generally attained from past experience and engineering judgments, and this way of risk assessment sometimes leads to inaccuracies and inconsistencies during priority numbering. Fuzzy logic approach is preferable in order to remove these deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied first time to improve the purchasing process of a public hospital. Results indicate that the application of fuzzy FMEA method can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects. It can also provide the stability of process assurance.