ACBD - Display Shared Buffer: ATP Check

SAP Transaction Code - Details

• Transaction Code: ACBD

  Description: Display Shared Buffer: ATP Check

  Release: S/4HANA and ECC 6

• • Program: ATPBD001

    Screen: 1000

    Authorization Object:

  • Development Package: ATPG

    Package Description: Application development ATP server

    Parent Package: APPL

  • Module/Component: CA-ATP

    Description: Available to Promise (ATP)

Smart SAP Assistant

• SAP Tcode: ACBD - Display Shared Buffer: ATP Check

  
  Overview:
  The SAP transaction code ACBD is used to display the shared buffer for ATP (Available-to-Promise) check. This transaction code is used to check the availability of materials in the system and to ensure that the materials are available for delivery. 
  
  Functionality: 
  The ACBD transaction code is used to display the shared buffer for ATP check. This transaction code is used to check the availability of materials in the system and to ensure that the materials are available for delivery. The shared buffer is a database table that stores information about the availability of materials in the system. The information stored in this table includes the quantity of materials available, the date of availability, and other related information. 
  
  Step-by-step How to Use: 
  To use the ACBD transaction code, follow these steps 
  1. Log into SAP and enter transaction code ACBD in the command field. 
  2. Enter the material number or material group in the Material field. 
  3. Enter a date range in the Date field. 
  4. Click on Execute to display the shared buffer for ATP check. 
  5. The results will be displayed in a table format with columns such as Material, Quantity, Date, and other related information. 
  6. To view more detailed information about a particular material, click on its Material Number link. 
  7. To exit, click on Back or press F3 on your keyboard. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with all of SAP's transaction codes before using them, as they can be complex and require a certain level of understanding to use correctly. Additionally, users should always double-check their results before making any decisions based on them, as incorrect data can lead to incorrect decisions being made.