How To Fix /SAPAPO/CDPSOPT359 - &1: Order &2 generates capacity overload

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/CDPSOPT -

• Message number: 359

• Message text: &1: Order &2 generates capacity 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.

Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/CDPSOPT359 - &1: Order &2 generates capacity overload ?

  The SAP error message /SAPAPO/CDPSOPT359 indicates that there is a capacity overload for a specific order in the Advanced Planning and Optimization (APO) module. This typically occurs when the planned order or production order exceeds the available capacity of the resources (work centers, machines, etc.) assigned to it.
  Cause:
  
  Capacity Constraints: The order requires more capacity than what is available in the work center during the planned production time.
  Incorrect Capacity Planning: The capacity of the work center may not be correctly defined or may not reflect the actual available capacity.
  Order Quantity: The order quantity may be too high, leading to an overload situation.
  Scheduling Conflicts: Other orders may be scheduled at the same time, leading to a conflict in resource allocation.
  Resource Utilization: High utilization of resources due to other orders can lead to insufficient capacity for the new order.
  
  Solution:
  
  
  Review Capacity Planning:
  
  Check the capacity settings for the work center in the APO system. Ensure that the available capacity is correctly defined.
  Adjust the capacity if necessary, considering maintenance, holidays, or other factors that may affect availability.
  
  
  
  Adjust Order Quantity:
  
  If feasible, reduce the order quantity to fit within the available capacity.
  
  
  
  Reschedule Orders:
  
  Review the scheduling of existing orders. If possible, reschedule them to free up capacity for the new order.
  
  
  
  Use Alternative Resources:
  
  If there are alternative work centers or resources available, consider using them to fulfill the order.
  
  
  
  Capacity Evaluation:
  
  Use the capacity evaluation tools in SAP APO to analyze the load on the work center and identify potential bottlenecks.
  
  
  
  Check for Errors:
  
  Ensure there are no errors in the master data related to the work center, such as incorrect capacity values or incorrect time settings.
  
  
  
  Related Information:
  
  Transaction Codes: You can use transaction codes like /SAPAPO/CC01 (Capacity Check) or /SAPAPO/CC02 (Change Capacity) to analyze and adjust capacity settings.
  APO Planning Books: Review the planning books and data views to understand how capacity is being utilized.
  Documentation: Refer to SAP documentation for detailed guidelines on capacity planning and optimization in APO.
  Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP APO expert for further assistance.
  
  By addressing the underlying causes of the capacity overload, you can resolve the error and ensure smoother production planning and execution.