How To Fix DLCN005 - Inconsistent datasets between table JITMA and VLPKM

DLCN005 - Overview

• Message type: E = Error

• Message class: DLCN - DELCON : System Messages for DC / Days'Collective Dely Note

• Message number: 005

• Message text: Inconsistent datasets between table JITMA and VLPKM

<LS>&CAUSE&</>
For customer material &V1& (material &V2&) and document type &V3& the
SD table (<AB><LS>VLPKM</></>) contains a different number of
scheduling agreements that have not been canceled, than in the sequenced
JIT call material table (<LS>JITMA)</>. The data for component SD
and the sequenced JIT call are therefore inconsistent.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Check the scheduling agreements for this material with the transaction
<DS:TRAN.VA32>Change Scheduling Agreement</>.
Delete the shared buffer in the sequenced JIT call material table
(JITMA) with the transaction <DS:TRAN.JITR>Reorganization of the
sequenced JIT call basic data</>.
Examine the contents of the tables VLPKM and JITMA with the transaction
<DS:TRAN.SE16>data browser</>.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message DLCN005 - Inconsistent datasets between table JITMA and VLPKM ?

  The SAP error message DLCN005 indicates that there is an inconsistency between the datasets in the tables JITMA (Just-In-Time Material Availability) and VLPKM (Delivery Processing: Picking). This inconsistency can arise due to various reasons, such as data corruption, incomplete transactions, or issues during data migration or updates.
  
  Cause:
  
  Data Corruption: There may be corrupted entries in either the JITMA or VLPKM tables.
  Incomplete Transactions: If a transaction was not completed properly, it could lead to mismatched records between the two tables.
  Custom Developments: Custom programs or enhancements that manipulate data in these tables may not be handling data correctly.
  System Upgrades or Migrations: Changes in the system or data migrations can sometimes lead to inconsistencies if not handled properly.
  
  
  Solution:
  
  Data Consistency Check: Run a consistency check to identify the specific records that are inconsistent. This can often be done using transaction codes like SE16 or SE11 to view the data in the tables.
  Reprocess Transactions: If the