How To Fix WRF_AT107 - Order-optimized quantity of DC was to be < 0; it will be set to 0

WRF_AT107 - Overview

• Message type: E = Error

• Message class: WRF_AT - Messages for Allocation Table RTFASH

• Message number: 107

• Message text: Order-optimized quantity of DC was to be < 0; it will be set to 0

What causes this issue?

The order-optimized quantity of the distribution center &V2& in the
allocation table &V1& was to be less than zero (&V4&) during
synchronization with the purchase order &V3&. However, this is not
permitted.

System Response

The system set the order-optimized quantity of the distribution center
&V2& in the allocation table &V1& to zero. The system was unable to
fully synchronize the quantity change in the purchase order in the
allocation table.

How to fix this error?

Check the allocation table &V1& and adjust the quantities manually
(transaction WA02), so that the allocation table is complete.

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 WRF_AT107 - Order-optimized quantity of DC was to be < 0; it will be set to 0 ?

  Certainly! Here's a detailed explanation for the SAP error message:
  
  SAP Error Message:
  WRF_AT107: Order-optimized quantity of DC was to be < 0; it will be set to 0
  
  
  Cause:
  This message occurs during the planning or order optimization process in SAP, particularly in the context of Demand Planning, Supply Network Planning (SNP), or Advanced Planning and Optimization (APO). The system calculates an order-optimized quantity for a Distribution Center (DC) or location, and the result is a negative quantity, which is logically invalid because order quantities cannot be negative.
  The negative quantity can arise due to:
  
  Incorrect or inconsistent master data (e.g., stock levels, safety stock, or demand forecasts).
  Planning heuristics or optimization algorithms that, due to constraints or parameters, calculate a negative replenishment quantity.
  Incorrect or missing parameters in the planning run or order optimization settings.
  Data inconsistencies in the supply chain model, such as incorrect lead times, lot sizes, or minimum order quantities.
  Demand or supply imbalances causing