Results 171 to 180 of about 7,120 (218)

Fuzzy assessment of FMEA for engine systems

Reliability Engineering & System Safety, 2002
Abstract 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.
Xu, K., Tang, L.C., Xie, M., Ho, S.L., Zhu, M.L.   +4 more
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A fuzzy data envelopment analysis approach for FMEA

Progress in Nuclear Energy, 2005
We 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.
P.A.A. Garcia, R. Schirru, P.F. Frutuoso E^Melo   +2 more
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An alternative evaluation of FMEA: Fuzzy ART algorithm

Quality and Reliability Engineering International, 2008
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
Keskin, Guelsen Aydin, Ozkan, Coşkun
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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), 2017
In 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, Fumihiro Kumeno, Yutaro Ohashi, Yasuhiro Tsujimura   +3 more
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Application of Fuzzy Inference Techniques to FMEA

2006
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 New Ranking Method For Fuzzy FMEA

2004
In this paper, we extend the method introduced by Bowles and Pelaez (1995) for the risk ranking in Failure Mode and Effect Analysis (FMEA). This method called as multi-ranking method allows combination of both the quantitative method (numeric ranking and fuzzy number) and the qualitative method (linguistic ranking) to be employed in the ranking of risk.
Muhammad Suzuri Hitam, Suresh Gobee, Khairanum Subari   +2 more
openaire   +1 more source

Using fuzzy FMEA and fuzzy logic in project risk management

2015
Risk management is one of the most important phases of project management and isthe most recently used by many researchers. In this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.Then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence ...
Roghanian, Emad, Mojibian, Fatemeh
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FMEA Using Fuzzy MULTIMOORA Method

2016
The MULTIMOORA method (Brauers and Zavadskas 2010) is a recently introduced MCDM method based on the multi-objective optimization by ratio analysis (MOORA) (Brauers and Zavadskas 2006). Due to its characteristics and capabilities, the use of MULTIMOORA method has been increasing in the literature. In Liu et al.
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FMEA Using Fuzzy DEMATEL Technique

2016
The decision-making trial and evaluation laboratory (DEMATEL) technique is a comprehensive method that supports MCDM problems in building and analyzing a structural model involving causal relationships between components of a system.
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