How To Fix /SAPAPO/OPT017 - Optimization run finished without solution

/SAPAPO/OPT017 - Overview

• Message type: E = Error

• Message class: /SAPAPO/OPT -

• Message number: 017

• Message text: Optimization run finished without solution

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/OPT017 - Optimization run finished without solution ?

  The SAP error message /SAPAPO/OPT017 Optimization run finished without solution typically occurs in the context of SAP Advanced Planning and Optimization (APO) when an optimization run does not yield a feasible solution. This can happen for various reasons, and understanding the cause is crucial for resolving the issue.
  Causes:
  
  
  Infeasible Constraints: The optimization model may have constraints that are too strict or contradictory, making it impossible to find a feasible solution. This can include:
  
  Capacity constraints that are too tight.
  Demand that exceeds supply capabilities.
  Conflicting planning parameters.
  
  
  
  Data Issues: Incorrect or incomplete master data can lead to infeasibility. This includes:
  
  Missing or incorrect product master data.
  Incorrect location data.
  Inaccurate or missing demand forecasts.
  
  
  
  
  Configuration Issues: The configuration of the optimization settings may not be appropriate for the current planning scenario. This includes:
  
  Incorrectly set planning versions.
  Inappropriate optimization heuristics or algorithms.
  
  
  
  Resource Availability: If resources (like production capacity, labor, or materials) are not available as expected, the optimizer may not find