1. SAP Glossary
  2. Failure Mode and Effects Analysis
  3. process FMEA


What is process FMEA in SAP QM-PT-FA - Failure Mode and Effects Analysis?


SAP Term: process FMEA

  • Component: QM-PT-FA

  • Component Name: Failure Mode and Effects Analysis

  • Description: An analytical method that examines the potential failures of manufacturing, assembly, and logistical processes to produce products t hat conform to design intent.


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  • Key Concepts: 
    Process FMEA (Failure Mode and Effects Analysis) is a quality management tool used to identify potential risks and their effects in a process. It is used to analyze the potential failure modes of a process, the causes of those failures, and the effects of those failures on the process. The goal of Process FMEA is to reduce or eliminate the risk of failure in a process. 
    
    How to use it: 
    Process FMEA is used to identify potential risks in a process and to develop strategies for mitigating those risks. The first step in using Process FMEA is to identify the process that needs to be analyzed. Once the process has been identified, the next step is to identify potential failure modes and their causes. After identifying potential failure modes and their causes, the next step is to identify the effects of those failures on the process. Finally, strategies for mitigating those risks should be developed. 
    
    Tips & Tricks: 
    When using Process FMEA, it is important to involve all stakeholders in the process. This will ensure that all potential risks are identified and that strategies for mitigating those risks are developed. Additionally, it is important to review and update Process FMEA regularly as processes change over time. 
    
    Related Information: 
    Process FMEA is part of SAP Quality Management (QM-PT-FA). SAP Quality Management provides tools for managing quality processes such as Process FMEA, Quality Planning, Quality Inspection, and Quality Control. Additionally, SAP Quality Management provides tools for analyzing quality data such as Statistical Process Control (SPC) and Design of Experiments (DOE).
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