According to F1 help, the 'Accuracy - Current Period' field is calculated according to the following information:
Definition
Provides information on the accuracy of your planned independent requirements (PIRs) as a percentage.
Use
You can use this information to determine how accurate your forecasts (PIRs) are. If the PIRs match actual demand, the accuracy is 100%. If the PIRs are less than actual demand, the accuracy is below 100%. On the other hand, if the PIRs are greater than actual demand, the accuracy is above 100%.
Note
The planned independent requirement quantity of the current period is only considered in proportion to the number of workdays that have passed in the current period. See example 3 below.
Depending on a material’s forecast period indicator, you can display the accuracy of the forecast for the current period, for the last week or the last month, for example.
A filter option is also available on the Accuracy - Current Period. For example, you can filter for materials for which the forecast was fairly accurate (between 90% and 110%), or you can filter for materials for which the accuracy of the forecast was poor (Less Than 50% or Greater Than 125%). This means you can quickly determine the materials for which you need to update the forecast.
Example
The formula used to calculate the accuracy for all periods other than the current period is: Accuracy = PIRs/Actual Demand * 100
Example 1
PIRs = 100 and Actual demand = 150
Accuracy = 100/150 * 100
Accuracy = 66%
Example 2
PIRs = 100 and Actual demand = 80
Accuracy = 100/80 * 100
Accuracy = 125%
The formula used to calculate the accuracy for the current period is: Accuracy = (PIRs * (Number of Workdays Passed in Period / Total Number of Workdays in Period)) / Actual Demand * 100
Example 3
PIRs = 100
Actual demand = 50
Half of the period has passed. For example, it is the 15th of the month.
Accuracy = (100 * (15/30)) / 50 * 100
Accuracy = 100%
Best regards,
Mateus Blume.
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