1. SAP Glossary
  2. Production Planning for Process Industries
  3. deviation history


What is deviation history in SAP PP-PI - Production Planning for Process Industries?


SAP Term: deviation history

  • Component: PP-PI

  • Component Name: Production Planning for Process Industries

  • Description: Logging of value entries in the PI sheet. If an input validation has been defined for an input value, the system checks in the PI sheet whether the value entered complies with the validation rule. As of the first deviating value entry, all subsequent value changes are documented in the deviation history this means even values that comply with the validation rule.


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  • Key Concepts: 
    Deviation history is a feature of SAP PP-PI Production Planning for Process Industries that allows users to track and analyze deviations from the planned production process. It records the actual values of production parameters such as quantity, quality, and time, and compares them to the planned values. This helps users identify areas of improvement and take corrective action.
    
    How to use it: 
    To use deviation history, users must first set up the planned values for production parameters in the system. Then, when actual values are entered into the system, they are compared to the planned values. If there is a deviation, it is recorded in the deviation history. This data can then be used to analyze trends and identify areas of improvement.
    
    Tips & Tricks: 
    It is important to ensure that all planned values are accurate and up-to-date in order for deviation history to be effective. Additionally, users should regularly review the deviation history data to identify any trends or patterns that may indicate areas of improvement.
    
    Related Information: 
    Deviation history is closely related to other features of SAP PP-PI Production Planning for Process Industries such as quality control and process optimization. These features can be used in conjunction with deviation history to further improve production processes.
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