How To Fix LCAM_REG018 - Data inconsistent; either check task attributes or check for later tasks

LCAM_REG018 - Overview

• Message type: E = Error

• Message class: LCAM_REG -

• Message number: 018

• Message text: Data inconsistent; either check task attributes or check for later tasks

What causes this issue?

Selection data for regular task scheduling has been incorrectly
specified.

System Response

Regular task scheduling cannot proceed with inconsistent data.
This is an <ZH>E</> (error) type message.

How to fix this error?

You need to enter valid selection criteria. Check the criteria and
proceed as follows:
Check the task details, and confirm that the task details have been
fully defined. For more information, refer to the <ZK>Task Attributes
</>(<ZH>REGM3</>) transaction
Check the data range. For example, data may exist for subsequent days
but not for the date range specified

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

LCAM_REG018 - Details

• The SAP error message LCAM_REG018 indicates that there is an inconsistency in the data related to the check task attributes or the subsequent tasks in the process. This error typically arises in the context of logistics and warehouse management, particularly when dealing with task management and execution in SAP Extended Warehouse Management (EWM) or similar modules.
  
  Cause:
  
  Inconsistent Task Attributes: The attributes of the check task may not align with the expected values or configurations. This could be due to incorrect settings in the task definition or changes made to the task after it was created.
  Subsequent Task Issues: There may be issues with tasks that are supposed to follow the current task. If these tasks are not properly defined or if their prerequisites are not met, it can lead to inconsistencies.
  Data Integrity Issues: There might be underlying data integrity issues in the database, such as missing or corrupted records that are required