How To Fix /SAPAPO/AMON_LIST095 - Resource overload (utilization = &UTILIZATION_PERCENT%) in bucket

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/AMON_LIST -

• Message number: 095

• Message text: Resource overload (utilization = &UTILIZATION_PERCENT%) in bucket

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/AMON_LIST095 - Resource overload (utilization = &UTILIZATION_PERCENT%) in bucket ?

  The SAP error message /SAPAPO/AMON_LIST095 Resource overload (utilization = &UTILIZATION_PERCENT%) in bucket typically occurs in the context of SAP Advanced Planning and Optimization (APO) when a resource is overloaded beyond its defined capacity in a specific time bucket. This can happen during planning runs, where the system attempts to allocate production or planning resources to meet demand, but the total demand exceeds the available capacity.
  Cause:
  
  High Demand: The demand for products may exceed the available capacity of the resources in the specified time bucket.
  Resource Constraints: The resource may have been defined with a limited capacity, and the current planning scenario is pushing it beyond that limit.
  Incorrect Capacity Settings: The capacity settings for the resource may not be configured correctly, leading to an underestimation of available capacity.
  Planning Parameters: The planning parameters or heuristics used may not be optimal, causing inefficient resource allocation.
  Production Orders: There may be existing production orders that are consuming capacity, leaving less available for new orders.
  
  Solution:
  
  Review Demand and Capacity: Analyze the demand for the products and compare it with the available capacity of the resources. Adjust the demand or increase the resource capacity if possible.
  Adjust Resource Capacity: If the resource capacity is too low, consider increasing it in the resource master data.
  Re-evaluate Planning Parameters: Check the planning parameters and heuristics being used. Adjust them to optimize resource allocation.
  Prioritize Orders: If there are multiple production orders, prioritize them based on business needs to manage the overload.
  Split Production: If feasible, consider splitting production across multiple resources or time buckets to balance the load.
  Capacity Planning: Implement better capacity planning practices to ensure that resources are not overloaded in future planning runs.
  Check for Errors: Ensure there are no errors in the master data or planning data that could be causing the overload.
  
  Related Information:
  
  Transaction Codes: Use transaction codes like /SAPAPO/AMON to monitor resource utilization and analyze the planning situation.
  Capacity Planning: Familiarize yourself with capacity planning concepts in SAP APO, including how to set up and manage resource capacities.
  APO Heuristics: Understand the heuristics available in SAP APO and how they can be configured to optimize resource allocation.
  SAP Notes: Check for any relevant SAP Notes that may address specific issues related to resource overload messages.
  
  By addressing the underlying causes and implementing the suggested solutions, you can mitigate the resource overload issue and improve the efficiency of your planning processes in SAP APO.