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  3. statistical process control chart


What is statistical process control chart in SAP MFG-ME - SAP Manufacturing Execution?


SAP Term: statistical process control chart

  • Component: MFG-ME

  • Component Name: SAP Manufacturing Execution

  • Description: A graphic representation of a characteristic or process, showing plotted values of some statistic gathered from that characteristic, a central line, and one or two control limits.


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  • Key Concepts: 
    Statistical Process Control (SPC) charts are used in SAP Manufacturing Execution (MFG-ME) to monitor and analyze production processes. They provide a visual representation of the process performance over time, allowing for the identification of trends and patterns that can be used to improve the process. The chart is composed of a series of data points, each representing a measurement taken from the process. The data points are then plotted on a graph, with the x-axis representing time and the y-axis representing the measured value. 
    
    How to use it: 
    To use an SPC chart in SAP MFG-ME, first select the process you want to monitor. Then, select the measurements you want to track and enter them into the chart. Once all of the data points have been entered, they will be plotted on the graph. You can then analyze the chart to identify any trends or patterns that may indicate areas for improvement. 
    
    Tips & Tricks: 
    When using an SPC chart in SAP MFG-ME, it is important to ensure that all of the data points are accurate and up-to-date. This will ensure that any trends or patterns identified are based on accurate information. Additionally, it is important to remember that SPC charts are only useful when used in conjunction with other analysis techniques, such as root cause analysis or failure mode and effects analysis. 
    
    Related Information: 
    For more information on SPC charts in SAP MFG-ME, please refer to the official SAP documentation at https://help.sap.com/viewer/product/SAP_MANUFACTURING_EXECUTION/6.2/en-US/f9f8d7a3c9e14b8a8f3d7c2b5f9e4d1a.html
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