How to use CNVMBTDESTDIST - MBT PCL: Destinationsverteilung def.

CNVMBTDESTDIST - Overview

• Transaction Code: CNVMBTDESTDIST

  Description: MBT PCL: Destinationsverteilung def.

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: CNV_MBT_PCL

    Package Description: Components of PCL to be imported into PCL system

    Parent Package: DMIS_BASIS_PCL

  • Module/Component: CA-LT

    Description: Landscape Transformation

CNVMBTDESTDIST - Details

• SAP Tcode: CNVMBTDESTDIST - MBT PCL: Destinationsverteilung def.

  
  Overview:
  CNVMBTDESTDIST is an SAP transaction code used to define the destination distribution for the MBT PCL (Material Batch Tracking Production Control List). This transaction code is used to set up the destination distribution for the MBT PCL, which is used to track the production of materials in batches. 
  
  Functionality:
  The CNVMBTDESTDIST transaction code allows users to define the destination distribution for the MBT PCL. This includes setting up the destination distribution for each material batch, as well as setting up the destination distribution for each production order. The destination distribution defines where each material batch and production order will be sent after they have been produced. 
  
  Step-by-step How to Use:
  1. Enter the CNVMBTDESTDIST transaction code in the SAP command field. 
  2. Select the material batch or production order that you want to define a destination distribution for. 
  3. Enter the details of the destination distribution, such as the location, quantity, and date of delivery. 
  4. Save your changes and exit the transaction code. 
  
  Other Recommendations:
  It is important to ensure that all destination distributions are set up correctly before any materials are produced or orders are placed. This will ensure that all materials and orders are sent to their correct destinations in a timely manner. Additionally, it is important to regularly review and update any existing destination distributions to ensure that they remain accurate and up-to-date.