BACKGROUND Failure mode and effects analysis (FMEA) is a risk management tool to proactively identify and assess the causes and effects of potential failures in a system, thereby preventing them from happening. The objective of this study was to evaluate effectiveness of FMEA applied to an academic clinical trial center in a tertiary care setting. METHODS A multidisciplinary FMEA focus group ...

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 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 a well-known approach for correlating the failure modes of a system to their effects, with the objective of assessing their criticality. The criticality of a failure mode is traditionally established by its risk priority number (RPN), which is the product of the scores assigned to the three risk factors, which are likeness of occurrence, the chance of...

evaluation and improvement of drug management process is essential for patient safety. the present study was performed whit the aim of assessing risk of drug management process in women surgery department of qeh using hfmea method in 2013. a mixed method was used to analys failure modes and their effects with hfmea. to classify failure modes; nursing errors in clinical management model, for cla...

Recently, there has been a growing demand to address failures in the fairness of artificial intelligence (AI) systems. Current techniques for improving AI systems are focused on broad changes norms, procedures and algorithms used by companies that implement those However, some organizations may require detailed methods identify which user groups disproportionately impacted specific components t...

Trouble Shooting Manuals (TSMs) provide useful information and guidelines for machinery maintenance, in particular, for fault isolation given a failure mode. TSMs produced by OEMs are usually updated based on feedback or requests from end users. Performing such update is very demanding as it requires collecting information from maintenance practices and integrating the new findings into the tro...

Failure mode and effects analysis (FMEA) has been proven to be an effective methodology to improve system design reliability. However, the standard approach reveals some weaknesses when applied to wind turbine systems. The conventional criticality assessment method has been criticized as having many limitations such as the weighting of severity and detection factors. In this paper, we aim to ov...