How to use S_ALR_87013235 - Target/Actual/Production Variance


SAP Transaction Code - Details

  • Transaction Code: S_ALR_87013235

    Description: Target/Actual/Production Variance

    Release: S/4HANA and ECC 6

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    • Development Package: RTTREE

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Smart SAP Assistant

  • SAP Tcode: S_ALR_87013235 - Target/Actual/Production Variance
     Analysis
    
    Overview: 
    S_ALR_87013235 is a SAP transaction code used to analyze the differences between target and actual production values. It is used to compare the planned production values with the actual production values and identify any discrepancies. This analysis helps to identify areas of improvement and optimize production processes. 
    
    Functionality: 
    The S_ALR_87013235 transaction code allows users to compare target and actual production values in order to identify any discrepancies. It also provides a graphical representation of the differences between the two values, allowing users to easily identify areas of improvement. Additionally, it allows users to analyze the differences between planned and actual production values over a period of time, helping to identify trends in production performance. 
    
    Step-by-step How to Use: 
    1. Enter the S_ALR_87013235 transaction code into the SAP system. 
    2. Select the desired period of time for which you would like to analyze the target and actual production values. 
    3. Select the desired output format (e.g., table, graph, etc.). 
    4. Select the desired criteria for comparison (e.g., material, plant, etc.). 
    5. The system will generate a report comparing the target and actual production values based on your criteria selection. 
    6. Review the report and identify any discrepancies between the target and actual production values. 
    7. Take action to address any discrepancies identified in order to optimize production processes. 
    
    Other Recommendations: 
    It is recommended that users regularly review reports generated by S_ALR_87013235 in order to ensure that production processes are running efficiently and effectively. Additionally, it is recommended that users take action to address any discrepancies identified in order to optimize production processes and ensure that targets are being met.
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