How to use MDL2 - Change Production Lot

SAP Transaction Code - Details

• Transaction Code: MDL2

  Description: Change Production Lot

  Release: S/4HANA and ECC 6

  Menu Path:

  • Logistics > Production > MRP > Master Data > Production Lot > Change
  • Logistics > Production - Process > MRP > Master Data > Production Lot > Change

• • Program: SAPLMD07

    Screen: 110

    Authorization Object: C_PROJ_TCD

  • Development Package: MD07

    Package Description: Production Lot Planning

    Parent Package: APPL

  • Module/Component: PP-MRP

    Description: Material Requirements Planning

Smart SAP Assistant

• SAP Tcode: MDL2 - Change Production Lot

  
  Overview:
  The SAP transaction code MDL2 is used to change the production lot of a material. This transaction code is used to update the production lot of a material in the system. It is used to make changes to the production lot of a material, such as changing the quantity, expiration date, or other attributes. 
  
  Functionality: 
  The MDL2 transaction code allows users to make changes to the production lot of a material. This includes changing the quantity, expiration date, or other attributes associated with the production lot. The changes made are stored in the system and can be viewed by other users. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code MDL2 in the command field. 
  2. Enter the material number and production lot number in the appropriate fields. 
  3. Select the “Change” button to open up a new window with all of the available fields for editing. 
  4. Make any necessary changes to the production lot and select “Save” when finished. 
  5. The changes will be saved and can be viewed by other users in the system. 
  
  Other Recommendations: 
  It is important to note that any changes made using this transaction code will be visible to other users in the system. Therefore, it is important to ensure that all changes are accurate and up-to-date before saving them in the system. Additionally, it is recommended that users familiarize themselves with all of the available fields before making any changes to ensure accuracy and completeness of data.