measurements methods of forecasting errors
DESCRIPTION
A small presentation on Measurements Methods Of Forecasting Errors in operations management.TRANSCRIPT
BY TEAM 10SAMRAT
RAJKUMARVIKRAMJASPREET
Methods of Measuring Forecasting Errors
Meaning of Forecasting
Meaning of forecasting Errors
Importance of Forecasting
Measures of Aggregate Error
Problem on Aggregate Error
Conclusion
Contents
Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed.
The forecast error is the difference between the actual value and the forecast value for the corresponding period.
Et = Yt – Ft
where E is the forecast error at period t, Y is the actual value at period t, and F is the forecast for period t.
Meaning of Forecasting and Forecasting Errors
Forecast error can be a calendar forecast error or a cross-sectional
forecast error, when we want to summarize the forecast error over a
group of units
If we observe the average forecast error for a time-series of forecasts for
the same product or phenomenon, then we call this a calendar forecast
error or time-series forecast error.
If we observe this for multiple products for the same period, then this is
a cross-sectional performance error.
Forecasting Error
If we observe this for multiple products for the same period, then this is a cross-
sectional performance error.
While forecasts are never perfect, they are necessary to prepare for actual
demand. In order to maintain an optimized inventory and effective supply chain,
accurate demand
Calculating forecast error
The forecast error needs to be calculated using actual sales as a base. There are
several forms of forecast error calculation methods used, namely Mean Percent
Error, Root Mean Squared Error, Tracking Signal and Forecast Bias..
Importance of Forecasting
Sum of Forecasting Errors(SFE) ∈(e)
Mean Absolute Deviation ( MAD)
1÷n (∈(|e|)
Mean Absolute Percentage Error ( MAPE)
1÷n (∈(|e|÷D× 100 )
Tracking Signal( TS) SFE÷ MAD
Measures of aggregate error:
The table below has the data pertaining to actual demand and forecast. Compute the forecasting accuracy at the end of 3rd period and 6th period. Compute the Tracking Signal at the end of each period.
Also compute Tracking Signal at the end of each period and plot it on a graph and give your comments?
Problem
Period 1 2 3 4 5 6
Demand 120 114 130 124 97 95
Forecast 109 118 132 110 110 105
Forecasting helps managers and businesses develop meaningful plans and reduce
uncertainty of events in the future.
Managers want to match supply with demand; therefore, it is essential for them to
forecast how much space they need for supply to each demand. Forecasting is a
statement pertaining to the future value of a variable of interest.
Its crucial for good forecasting to be reliable, cost effective, simple and concise. Its very
important for a forecast to be correct and that their be as few errors as possible.
Conclusion