How To Fix VIRT221 - Available Capacity Consumed

VIRT221 - Overview

• Message type: E = Error

• Message class: VIRT - Virtualization Monitoring

• Message number: 221

• Message text: Available Capacity Consumed

What causes this issue?

The 'Available Capacity' is the sum of 'Capacity Consumed' and
'Additional Capacity Available'.
The 'Available Capacity Consumed' represents percentage of currently
attainable physical processor resources the virtual system is consuming.
On IBM Power Systems, the available capacity consumed of a Shared
Processor LPAR represents percentage of the amount of currently
attainable physical processor resources the SPLPAR is consuming.

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?

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 VIRT221 - Available Capacity Consumed ?

  The SAP error message VIRT221, which states "Available Capacity Consumed," typically occurs in the context of capacity planning and resource management within SAP systems, particularly in production planning and control (PP) or project systems (PS). This error indicates that the available capacity for a particular resource (such as a machine, labor, or work center) has been fully utilized, and no additional capacity is available for scheduling new operations or tasks.
  
  Cause:
  
  Resource Overutilization: The resource in question has been scheduled for more work than it can handle within the specified time frame.
  Capacity Planning Settings: The capacity planning settings for the resource may not be configured correctly, leading to an inaccurate representation of available capacity.
  Incorrect Master Data: The work center or resource master data may have incorrect capacity values or settings.
  Unplanned Activities: Unplanned activities or changes in production schedules can lead to unexpected consumption of available capacity.
  
  
  Solution:
  
  
  Review Capacity Planning:
  
  Check the capacity planning settings