Part Forecast Analysis - Advanced
This dashboard is designed to help you analyze things like:
The over or under forecasting of critical parts
The forecast error for parts by understanding the tracking signal trend and accuracy trend over time
The trend of the forecast method counts and forecast adjustments for parts
The information on this dashboard is grouped into the following mini-dashboards:
Forecast Error Analysis - Part 
This mini-dashboard helps you analyze the over or under forecasting of critical segments, parts, and locations.
Widget
Description
Tracking Signal (Over forecast, -ve
A chart of the Tracking Signal (lead time) of only over-forecasted Parts, used to calculate a system level tracking signal by using History Average as the weight.
T.S. (Over) = [Σ( T.S. * HAvg) of all the Parts that are over-forecasted] / [Σ(HAvg) of all the Parts that are over-forecasted]
Tracking Signal (Under forecast, +ve)
A chart of the Tracking Signal (lead time) of only under-forecasted Parts, used to calculate tracking signals at the system level by using History Average as the weight.
T.S. (Under) = [Σ( T.S. * HAvg) of all the Parts that are under-forecasted] / [Σ(HAvg) of all the Parts that are under-forecasted]
Forecast Accuracy
A chart of the Forecast Accuracy (lead time) at the system level, calculated by using Forecast Accuracy of all the Parts and their History Average as the weight.
Forecast Accuracy = [Σ(Forecast Accuracy *HAvg) of all the Parts] / [Σ(HAvg) of all the Parts]
Part Summary
A listing of the forecast metrics for all the Parts or a selected Part Type and their demand forecast data that was used to calculate the metrics.
SKU Summary
A listing of the forecast metrics for all the SKUs of the Parts or selected Part Type, and their demand forecast data that was used to calculate the metrics.
Demand Forecast Analysis- Part 
This mini-dashboard helps you analyze the over or under forecasting of critical segments, parts, and locations.
Widget
Description
Demand and Forecast (Units)
A comparison of the Total Demand and Forecast Units for the system or selected Part Type or Part Number.
Demand and Forecast ($ Values)
A comparison of the Total Demand and Forecast $ Values for the system or selected Part Type or Part Number.
Forecast Method Count
A time-series view of Forecast Methods used for forecasting.
Forecast Adjustment
A time-series plot of Total Forecast and Adjustment %.
[Forecast Adjustment / Total Forecast * 100]
SKU Summary 
TBD
Widget
Description
SKU Summary
A listing of forecast metrics for all the SKUs of all the Part Type or Part Number and their Demand Forecast data that was used to calculate the forecast metrics.
MAPE vs COV - SKU Stream 
TBD
Widget
Description
MAPE (LT) vs COV
A scatter plot using MAPE(Lead Time) and COV of all the SKU-Streams. The size of the bubble is proportionate to $ Annual Forecast.
COV = HistorySD / History Average
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