How to use S_ALR_87013088 - Target/Actual/Production Variance

SAP Transaction Code - Details

• Transaction Code: S_ALR_87013088

  Description: Target/Actual/Production Variance

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: RTTREE

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: S_ALR_87013088 - Target/Actual/Production Variance

   Analysis
  
  Overview: 
  S_ALR_87013088 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_87013088 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_87013088 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 criteria for which you would like to compare the target and actual production values (e.g., quantity, cost, etc.). 
  4. Select the desired output format (e.g., table, graph, etc.). 
  5. The system will generate a report that displays the differences between target and actual production values for the selected criteria over the selected period of time. 
  
  Other Recommendations: 
  It is recommended that users review the generated report carefully in order to identify any discrepancies between target and actual production values. Additionally, it is recommended that users use this analysis regularly in order to track changes in production performance over time and identify areas of improvement.