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Fuzzy FMEA in risk assessment for test and calibration laboratories
AbstractIn this study, it is aimed to compare traditional and fuzzy FMEA in identifying areas that may pose risks and need improvement in Test and Calibration Laboratories. Within this scope, FMEA is used in ranking the possible risks. One hundred ninety‐nine failures are detected in 91 inspections, carried out in the Test and Calibration Laboratories.
Özlem Müge Testik, Ezgi Tok Unlu
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Classical and fuzzy FMEA risk analysis in a sterilization unit
Computers and Industrial Engineering, 2016Hazards of a sterilization unit of a large hospital determined.Number of FMEA classes was increased from 3 to 5.Fuzzy FMEA rules for the sterilization unit were created.Fuzzy FMEA was applied in a sterilization unit.Classic FMEA and fuzzy FMEA were compared. Global system pressures prompt hospitals to consider the risk factors of the healthcare system.
Cansu Dagsuyu +2 more
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Application of Fuzzy Inference Techniques to FMEA
In traditional Failure Mode and Effect Analysis (FMEA), the Risk Priority Number (RPN) ranking system is used to evaluate the risk level of failures, to rank failures, and to prioritize actions. This approach is simple but it suffers from several weaknesses.
Kai Meng Tay, Chee Peng Lim
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A fuzzy data envelopment analysis approach for FMEA
Progress in Nuclear Energy, 2005We present a data envelopment analysis approach for determining ranking indices among failure modes in which the typical FMEA parameters are modeled as fuzzy sets. By this approach, inference rules of the IF THEN kind can be bypassed. The proposed approach is applied to a typical PWR auxiliary feedwater system.
Pauli Adriano De Almada Garcia
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FUZZY ASSESSMENT OF FMEA FOR A SEWAGE PLANT
Journal of the Chinese Institute of Industrial Engineers, 2007Failure mode and effect analysis (FMEA) is a widely used risk assessment tool to identify the potential failure modes of a product or a process. By ranking the priorities for corrective action according to the respective effects of the failures, the chance of the failures can be reduced or eliminated. However, there could be several difficulties during
Ruey Huei Yeh
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An alternative evaluation of FMEA: Fuzzy ART algorithm
AbstractFailure Mode and Effects Analysis (FMEA) is a technique used in the manufacturing industry to improve production quality and productivity. It is a method that evaluates possible failures in the system, design, process or service. It aims to continuously improve and decrease these kinds of failure modes. Adaptive Resonance Theory (ART) is one of
Gülsen Aydin Keskin, Coskun Özkan
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Fuzzy assessment of FMEA for engine systems
Reliability Engineering & System Safety, 2002Abstract When performing failure mode and effects analysis (FMEA) for quality assurance and reliability improvement, interdependencies among various failure modes with uncertain and imprecise information are very difficult to be incorporated for failure analysis. Consequently, the validity of the results may be questionable.
Kai Xu +4 more
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Improving fuzzy FMEA model for student projects
2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017In project-based learning, student projects benefit when they include the analysis and assessment of risk. However, students lack experience in risk assessment, which limits their ability to carry out this aspect of the work. In practice, the instructor often advises students to assess the risks because this would be a key feature of a professional ...
Issarapong Khuankrue +3 more
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Journal of the Operational Research Society, 2019
The aim of this study is to modify and enhance the quantitative/mathematical features of both computational and analytical aspects of the process failure modes and effects analysis (FMEA).
Arash Geramian +3 more
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The aim of this study is to modify and enhance the quantitative/mathematical features of both computational and analytical aspects of the process failure modes and effects analysis (FMEA).
Arash Geramian +3 more
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