How to use S_ALR_87009114 - IMG Activity: ORFA_BEW_VORSCHLAG

SAP Transaction Code - Details

• Transaction Code: S_ALR_87009114

  Description: IMG Activity: ORFA_BEW_VORSCHLAG

  Release: S/4HANA and ECC 6

• • Program: SAPLS_CUS_IMG_ACTIVITY

    Screen: 200

    Authorization Object:

  • Development Package: AC

    Package Description: Asset Accounting: Customizing

    Parent Package: APPL

  • Module/Component: FI-AA-AA

    Description: Basic Functions

Smart SAP Assistant

• SAP Tcode: S_ALR_87009114 - IMG Activity: ORFA_BEW_VORSCHLAG

  
  Overview: 
  S_ALR_87009114 is an SAP transaction code used to access the IMG Activity ORFA_BEW_VORSCHLAG. This activity is part of the SAP system and is used to generate a list of suggested orders for a given material. 
  
  Functionality: 
  The IMG Activity ORFA_BEW_VORSCHLAG allows users to generate a list of suggested orders for a given material. This list can be used to determine the optimal order quantity for the material, taking into account factors such as current stock levels, lead times, and delivery dates. The list can also be used to identify potential problems with the ordering process, such as incorrect order quantities or incorrect delivery dates. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code S_ALR_87009114 in the SAP system. 
  2. Select the IMG Activity ORFA_BEW_VORSCHLAG from the list of available activities. 
  3. Enter the material number for which you want to generate a list of suggested orders. 
  4. Enter any additional parameters that you want to use in generating the list (e.g., current stock levels, lead times, delivery dates). 
  5. Click “Execute” to generate the list of suggested orders for the given material. 
  6. Review the list of suggested orders and make any necessary adjustments (e.g., changing order quantities or delivery dates). 
  7. Click “Save” to save your changes and generate a new list of suggested orders for the given material. 
  
  Other Recommendations: 
  It is recommended that users review the generated list of suggested orders carefully before making any changes or adjustments to ensure that all parameters are correct and up-to-date. Additionally, users should regularly review their lists of suggested orders to ensure that they are still accurate and up-to-date with current stock levels, lead times, and delivery dates.