How To Fix EPRO734 - The calculated usage factor is too high

EPRO734 - Overview

• Message type: E = Error

• Message class: EPRO - Messages for EDM Profile Processing

• Message number: 734

• Message text: The calculated usage factor is too high

What causes this issue?

The usage factor calculated during billing for profile &v1& is too high.
The calculated usage factor is larger than the maximum value of
999.999.999,9999999, which can be entered in the internal field for
saving the consumption factor. This message is displayed to avoid a
runtime error.

System Response

Billing is terminated.

How to fix this error?

Check the meter readings and the billing-relevant factors. If you really
want to bill consumption of this size, choose a different billing
dimension with a reduced absolute amount (for example, GWh instead of
kWh). Alternatively, divide the billing period into smaller units so
that the usage factor for each billing period is smaller.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message EPRO734 - The calculated usage factor is too high ?

  The SAP error message EPRO734, which states "The calculated usage factor is too high," typically occurs in the context of production planning or material requirements planning (MRP) when the system calculates a usage factor for a material or resource that exceeds predefined limits. This can happen in various scenarios, such as during the creation of production orders, planning runs, or when analyzing capacity.
  Causes:
  
  Incorrect Master Data: The material master or resource master data may have incorrect or unrealistic values for usage factors, such as high consumption rates or incorrect lead times.
  Planning Parameters: The planning parameters set in the system may not align with actual production capabilities or historical data.
  Capacity Constraints: The production capacity may be overestimated, leading to a calculated usage factor that exceeds the available capacity.
  Data Entry Errors: Manual entries in production orders or planning data may have been incorrectly input, leading to inflated usage factors.
  
  Solutions:
  
  Review Master Data: Check the