How To Fix DPR_PARTICIPANT140 - Generic intervals f. '&1' inconsistent: No total demand in role &2

DPR_PARTICIPANT140 - Overview

• Message type: E = Error

• Message class: DPR_PARTICIPANT - Roles: Messages

• Message number: 140

• Message text: Generic intervals f. '&1' inconsistent: No total demand in role &2

What causes this issue?

The generic intervals of the staffing '&V1&' in the role &V2& are
inconsistent: Gaps or overlaps exist.

System Response

In the distribution data of the role &V2&, the assigned effort from
staffing '&V1&' is not taken into account when calculating the values in
the <LS>Assigned Effort</> column and also in the <LS>Demand</> column.
The system cannot save inconsistent generic intervals.

How to fix this error?

Execute the <LS>Check Intervals</> function in the role &V2& for the
distribution data of the staffing '&V1&' and correct the intervals as
necessary.

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.

DPR_PARTICIPANT140 - Details

• The SAP error message DPR_PARTICIPANT140 indicates that there is an inconsistency in the demand planning data for a specific participant in a project or planning scenario. The message specifically states that there is "No total demand in role &2" for the specified participant '&1'. This typically occurs in the context of Demand Planning (DP) or Project Management (PM) within SAP.
  
  Cause:
  
  
  Missing Demand Data: The most common cause of this error is that there is no demand data available for the specified participant in the specified role. This could be due to:
  
  Data not being entered or saved correctly.
  Incorrect planning version or time period being selected.
  Filters applied that exclude relevant data.
  
  
  
  Role 
  Configuration Issues: The role assigned to the participant may not be configured correctly, leading to inconsistencies in how demand is calculated or displayed.
  
  
  Data Integrity Issues: There may be issues with the underlying data integrity, such as missing or corrupted records in the