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Simple Exponential Smoothing

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It can be used in Logistics and Supply Chain as a forecast method.

In Simple exponential smoothing, the new forecast is the former forecast plus “a” times the former forecast error (errort = Dt-Ft)


This formula can be written as follows:

Ft = Ft-1 + a (Dt-1- Dt-1)


Where:

Ft = Forecast at time t.

Dt = Actual demand at time t.

Ft-1 = Forecast at time t-1 (previous period)

Dt-1 = Actual demand at time t-1

a = smoothing constant or adjustment factor between 0 and 1


If a ® 1, adjustment compared to last actual value is important.

If a ® 0, adjustment compared to last actual value is weak.


 


Forecast with a =

Period

Actual Demand

0,1

0,5

0,9

1

1700

 

 

 

2

1800

1700

1700

1700

3

1900

1710

1750

1790

4

1850

1729

1825

1889

5

1775

1741

1838

1854

6

1450

1744

1806

1783

7

1100

1715

1628

1483

8

1500

1654

1364

1138

9

1800

1638

1432

1464

10

1750

1654

1616

1766

11

2000

1664

1683

1752

12

 

1698

1842

1975

Simple exponential smoothing

 
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