StudyAce – Custom Writing & Research Support for All Levels

Plagiarism-Free Academic Help by Real Experts – No AI Content

StudyAce – Custom Writing & Research Support for All Levels

Plagiarism-Free Academic Help by Real Experts – No AI Content

Example a Jan forecast is given as 410 0.3 Month Mileage Forecast 0.3

Example a
Jan forecast is given as 410 0.3
Month Mileage Forecast 0.3
Jan 450 410 0.3
Feb 495 422.0 0.3
Mar 518 443.9 0.3
April 563 466.1 0.3
May 584 495.2 0.3
june
Exponential Smoothing Example
Ft new forecast
Ft-1 previous period’s forecast
a smoothing (weighting) constant
At-1 previous period actual or demand
At-1 minus Ft-1 is the forecast error
Smoothing constant .05 to .5)
higher constant – more weight on recent data
lower constant – more weight on past data
constant of 1 = naïve forecast (current forecast equals previous period demand)
Formula: Ft=Ft-1+alpha(At-1 – Ft-1)
Current Forecast = previous period forecast + alpha (forecast error)
Forecast error is the actual demand minus the previous forecast
Example a Jan forecast is given as 410 0.3 Month Mileage Forecast 0.3
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