Failure mode and effects analysis (FMEA) is a widely used engineering technique for designing, identifying and eliminating known and/or potential failures, problems, errors and so on from system, design, process, and/or service before they reach the customer (Stamatis, 1995). In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are e...

Despite of the popularity of the fuzzy Failure Mode and Effects Analysis (FMEA) methodology, there are several limitations in combining the Fuzzy Inference System (FIS) and the Risk Priority Number (RPN) model. Two main limitations are: (1) it is difficult and impractical to form a complete fuzzy rule base when the number of required rules is large; and (2) fulfillment of the monotonicity prope...

Failure mode and effect analysis (FMEA) is a useful tool to define, identify, and eliminate potential failures or errors so as to improve the reliability of systems, designs, and products. Risk evaluation is an important issue in FMEA to determine the risk priorities of failure modes. There are some shortcomings in the traditional risk priority number (RPN) approach for risk evaluation in FMEA,...

Failure mode and effects analysis (FMEA) has been extensively used for examining potential failures in products, processes, designs and services. An important issue of FMEA is the determination of risk priorities of the failure modes that have been identified. The traditional FMEA determines the risk priorities of failure modes using the so-called risk priority numbers (RPNs), which require the...

Failure mode and effect analysis (FMEA) is a widely used reliability analysis and risk assessment tool in various industries. It is one of the most established project management techniques to identify and eliminate failures before actual manufacturing starts. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate; the risk level of failures, to rank failures, and to...

Failure Mode and Effect Analysis (FMEA) is one of the well-known techniques of quality management that is used for continuous improvement in product or process design. One important issue of FMEA is the determination of the risk priorities of failure modes. The purpose of this paper is to compare three different methods for prioritizing failure modes in a process FMEA study. These methods are t...

The investigations for diagnosis and severity of OSA in Thai population need RDI from the PSG in sleep laboratory. The current problems of Thailand are firstly, inadequate sleep specialist and experienced technician: secondly, inadequate sleep laboratory result in long queue of appointments for sleep study. The authors proposed the new application for solving problem and developing to prioritiz...

Failure mode and effects analysis (FMEA) is awidely used engineering technique for designing, identifying and eliminating theknown and/or potential failures, problems, and errors and so on from system to other parts. The evaluating of FMEA parameters is challenging point because it’s importantfor managers to know the real risk in their systems. In this study,we used fuzzy TODIM for evaluating t...

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 at...

In order to effectively analyze and control use-related risk of medical devices, quantitative methodologies must be applied. Failure Mode and Effects Analysis (FMEA) is a proactive technique for error detection and risk reduction. In this article, an improved FMEA based on Fuzzy Mathematics and Grey Relational Theory is developed to better carry out user-related risk analysis for medical device...