How To Fix /SAPAPO/SNPOPT274 - Runtime limit set using dual solution method

/SAPAPO/SNPOPT274 - Overview

• Message type: E = Error

• Message class: /SAPAPO/SNPOPT -

• Message number: 274

• Message text: Runtime limit set using dual solution method

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/SNPOPT274 - Runtime limit set using dual solution method ?

  The SAP error message /SAPAPO/SNPOPT274 Runtime limit set using dual solution method typically occurs in the context of SAP Advanced Planning and Optimization (APO) when the optimization process exceeds the predefined runtime limits. This can happen during the execution of planning runs, such as heuristic or optimization runs, where the system is unable to find a feasible solution within the allowed time frame.
  
  Cause:
  
  Complexity of the Problem: The optimization problem may be too complex, involving a large number of variables and constraints, which can lead to longer computation times.
  Insufficient Resources: The system may not have enough computational resources (CPU, memory) allocated to handle the optimization process efficiently.
  Tight Time Limits: The runtime limits set in the system configuration may be too restrictive for the specific planning scenario being executed.
  Data Volume: A large volume of data being processed can also contribute to longer processing times.
  
  
  Solution:
  
  
  Increase Runtime Limits: Adjust the runtime limits in the