Forecast Analysis — Advanced
This dashboard is designed to help you analyze the following:
Total demand and forecast in units or values of the system and different demand categories such as Smooth, Intermittent, and Erratic
Trend of important forecast metrics such as Forecast Accuracy, Bias, and Bias Value, calculated using lead time data for different demand categories
The trend of the Forecast Method Counts, Composite Forecast Method Count and Forecast Adjustments
Forecast metrics of the Parts that are under or over forecasted in the system
This dashboard can help you answer business questions such as:
What is the comparison of overall trend of demand and forecast in units or values?
What is the count of SKU-Streams in each demand category and their Bias and Bias Values?
Is the system having bias towards under or over forecasting?
What is the trend of Forecast Accuracy and count of SKU-Streams that have low or high forecast accuracy in each demand category?
What is the trend of Bias and Bias Value in each demand category?
What is the trend of Planner overrides on the Forecast Adjustment?
Which forecast method is used for most of the SKU-Streams in the system?
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Do one of the following to view current information on this dashboard:
The information on this dashboard is grouped into the following widgets:
Widget
Description
A pie chart that displays the count of SKU-streams for Smooth, Erratic, Intermittent demand categories.
Units and Values charts that compare Total Demand and Forecast at the system level and for Smooth, Intermittent and Erratic demand categories.
Total absolute Bias and Bias Value of all the under and over forecasted SKU-Streams for Smooth, Intermittent, Erratic demand categories.
A listing of forecast metrics of the over-forecasted Parts based on Bias, sorted by the highest Bias Value.
Click a Part Number hyperlink to open the Part Forecast Analysis — Advanced dashboard, populated with the selected Part Number.
Part Summary - Under Forecasted
A listing of forecast metrics of the under-forecasted Parts based on Bias, sorted by the highest Bias Value.
Click a Part number hyperlink to open Part Forecast Analysis — Advanced dashboard, populated with the selected Part Number.
Charts of Forecast Accuracy, Bias Value and Bias metrics for under-forecasted SKU-Streams based on demand categories such as Smooth, Erratic and Intermittent.
The Forecast Accuracy chart displays the trend of forecast accuracy as a line chart and number of SKU-Streams that have low or high forecast accuracy as per the threshold defined in the PO_ForecastAccuracyLTThreshold parameter object, as a stacked bar chart.
The Bias Value chart displays the total bias value as a line chart with stacked bars of bias value for low and high accuracy SKU-Streams.
The Bias chart displays the total bias as a line chart with stacked bars of bias for low and high accuracy SKU-Streams.
Click the Bar chart to open the Forecast Error Analysis-Advanced dashboard, populated with selected Demand Category.
Charts of Forecast Accuracy, Bias Value and Bias metrics for over forecasted SKU-Streams based on demand categories i.e. Smooth, Erratic and Intermittent.
The Forecast Accuracy chart displays the trend of forecast accuracy as a line chart and number of SKU-Streams that have low or high forecast accuracy as per the threshold defined in the PO_ForecastAccuracyLTThreshold parameter object, as a stacked bar chart.
The Bias Value chart displays the total bias value as a line chart with stacked bars of bias value for low and high accuracy SKU-Streams.
The Bias chart displays the total bias as a line chart with stacked bars of bias for low and high accuracy SKU-Streams.
Click the Bar chart to open the Forecast Error Analysis-Advanced dashboard, populated with selected Demand Category.
A chart that displays the time-series count of Total SKU-Streams and the % of SKU-Streams that have forecast adjustments.
A chart that displays the time-series view of Forecast Methods used for forecasting of forecast streams with External Indicator = yes and Use In Total = yes.
A chart that displays the time-series view of Forecast Methods of forecast streams that were used to calculate composite forecast.
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