How to use S_ALR_87013202 - Target/Actual/Production Variance

S_ALR_87013202 - Overview

• Transaction Code: S_ALR_87013202

  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:

S_ALR_87013202 - Details

• SAP Tcode: S_ALR_87013202 - Target/Actual/Production Variance

   Analysis
  
  Overview: 
  S_ALR_87013202 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_87013202 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_87013202 transaction code into the SAP system. 
  2. Select the desired plant and period for analysis. 
  3. Select the desired target and actual production values for comparison. 
  4. View the graphical representation of the differences between target and actual production values. 
  5. Analyze the differences between planned and actual production values over a period of time. 
  6. Identify areas of improvement and optimize production processes accordingly. 
  
  Other Recommendations: 
  It is recommended that users regularly analyze their target and actual production values using this transaction code in order to identify any discrepancies or areas of improvement in their production processes. Additionally, users should