failure mode effect and criticality analysis FMECA

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failure mode effect and criticality analysis (FMECA or FMEA)

the detailed study of a product design, manufacturing operation or distribution network to determine how it may fail and to offer options for the reduction in failure rate.
Collins Dictionary of Business, 3rd ed. © 2002, 2005 C Pass, B Lowes, A Pendleton, L Chadwick, D O’Reilly and M Afferson
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FMEA represents the most popular approach for assessing the criticality level of the failures of products, processes or even complex systems (Ookalkar, Joshi, & Ookalkar 2009; Sawhney, Subburaman, Sonntag, Rao, Rao, & Capizzi 2010; De Souza & Carpinetti, 2014; Lolli, Gamberini, Rimini, & Pulga 2016).
The history of FMEA goes back to the 1940s when the U.S.
Based on the analysis of literature and the results of the years of research in the field of improvement of operation, test sheet, analysis of ParetoLorenz, indicators of damage, Ishikawa diagram, FMEA, and QFD were chosen.
Obviously, the elaborate details typically used in FMEAs need not be employed for the QMS FMEA.
Therefore, regarding the critical activities prioritized by the professionals, the expertise of the researcher on some of the design methods inherent to such activities and the fact that some design methods provide better results than a PDP activity, it was decided that QFD (Quality Function Deployment) and FMEA (Failure Mode and Effects Analysis) should be implemented in the action research company.
FMEA, which employs inductive reasoning, is used in the design phase of the asset lifecycle to hypothetically and, where appropriate, systematically test potential failure modes and mechanisms.
Description: The FMEA focuses on reducing the risk of future incidents in complex processes by exploring all the possible ways a system will fail.
The FMEA and Interface List can be used to clearly define responsibility for detecting and preventing the potential causes of failure.
These range from bullet types--individual pieces, such as Ishakawa fishbone charts, numerous models of ranking risks such as FMEA, and design of experiment (DoE) software--to combinations of the pieces.
It provides powerful insights on Six Sigma methodology and tools, such as, Value Stream Map, Lean Thinking, Risk Management, Project Management, FMEA - Failure Mode and Effects Analysis, Kaizen, Robotic Process Automation and Artificial Intelligence, Root Cause Analysis, Case Studies, amongst others.