How To Fix /SAPAPO/MA774 - MLR error 2: Number of variables greater than 25

/SAPAPO/MA774 - Overview

• Message type: E = Error

• Message class: /SAPAPO/MA -

• Message number: 774

• Message text: MLR error 2: Number of variables greater than 25

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/MA774 - MLR error 2: Number of variables greater than 25 ?

  The SAP error message /SAPAPO/MA774 MLR error 2: Number of variables greater than 25 typically occurs in the context of SAP Advanced Planning and Optimization (APO) when dealing with Multi-Level Resource (MLR) planning. This error indicates that the number of variables defined in the planning model exceeds the allowed limit of 25.
  
  Cause:
  
  Exceeding Variable Limit: The primary cause of this error is that the planning model has been configured with more than 25 variables. In SAP APO, there are restrictions on the number of variables that can be used in certain planning scenarios, and exceeding this limit triggers the error.
  Model Configuration: The configuration of the planning model may not be optimized, leading to an excessive number of variables being defined.
  Complexity of the Planning Problem: If the planning problem is inherently complex, it may require more variables than the system can handle.
  
  
  Solution:
  
  
  Review and Optimize the Model:
  
  Analyze the planning model to identify unnecessary