How To Fix /SAPAPO/AMON_ALERTS015 - Average resource overload

/SAPAPO/AMON_ALERTS015 - Overview

• Message type: E = Error

• Message class: /SAPAPO/AMON_ALERTS -

• Message number: 015

• Message text: Average resource overload

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

/SAPAPO/AMON_ALERTS015 - Details

• The SAP error message /SAPAPO/AMON_ALERTS015 indicates an "Average resource overload" in the Advanced Planning and Optimization (APO) module. This alert typically arises when the system detects that a resource (such as a production line, machine, or labor) is being scheduled to operate beyond its capacity over a specified period.
  
  Cause:
  
  Capacity Constraints: The resource has been scheduled for more work than it can handle, leading to an overload situation.
  Incorrect Master Data: The resource's capacity settings in the master data may be incorrectly defined, such as incorrect available hours or capacity units.
  High Demand: A sudden spike in demand for products that require the overloaded resource can lead to this alert.
  Inefficient Planning: Poor planning strategies or settings in the planning run can lead to suboptimal resource allocation.
  
  
  Solution:
  
  Review Resource Capacity: Check the capacity settings for the resource in question. Ensure that the available capacity is correctly defined in the master data.
  Adjust Planning Parameters: Modify the