2 The data table below presents a popular brand of sweater s

2. The data table below presents a popular brand of sweater sale (by quarters) over the past three years:

2013

Sale

2014

Sale

2015

Sale

(t)

(Yt)

(t)

(Yt)

(t)

(Yt)

Spring

12

Spring

16

Spring

18

Summer

25

Summer

32

Summer

45

Fall

76

Fall

80

Fall

84

Winter

52

Winter

62

Winter

60

(a) Calculate the \"seasonal indexes\" for each season.


(b) Forecast the sale of each season in 2016, if we expect the annual sales for the product to be 200 (Yearly Demand) units for the year 2016.

2013

Sale

2014

Sale

2015

Sale

(t)

(Yt)

(t)

(Yt)

(t)

(Yt)

Spring

12

Spring

16

Spring

18

Summer

25

Summer

32

Summer

45

Fall

76

Fall

80

Fall

84

Winter

52

Winter

62

Winter

60

Solution

Seasonal Index = period average demand / average demand for all periods

The period can be daily, weekly, monthly, or quarterly depending on the basis
for the seasonality of demand.
The average demand for all periods is a value that averages out seasonality.
This is called the deseasonalized demand. The previous equation can be rewritten as:

Season index = period average demand / deseasonalized demand.

Data Given :

Solution (a)

Above data can be rearranged as below :

Deseasonalized Demand = 187/4 = 47

The seasonal indices can now be calculated as follows:

Seasonal index = 15 / 47 = 0.33 (Spring)

Seasonal index = 34 / 47 = 0.73 (Summer)

Seasonal index = 80 / 47 = 1.71 (Fall)

Seasonal index = 58 / 47 = 1.24 (Winter)

Total of seasonal indices = 4.00

(b)

Forecast for year 2016 = 200

Forecast average quarterly demand = 200 /4 = 50

Expected quarter demand = (seasonal index)(forecast quarterly demand)

Expected Spring demand = 0.33 x 50 = 16.37

Expected Summer demand = 0.73 x 50 = 36.30

Expected Fall demand = 1.71 x 50 = 85.41

Expected Spring demand = 1.24 x 50 = 61.92

Total forecast demand = 200

2013 Sale 2014 Sale 2015 Sale
(t) (Yt) (t) (Yt) (t) (Yt)
Spring 12 Spring 16 Spring 18
Summer 25 Summer 32 Summer 45
Fall 76 Fall 80 Fall 84
Winter 52 Winter 62 Winter 60
2. The data table below presents a popular brand of sweater sale (by quarters) over the past three years: 2013 Sale 2014 Sale 2015 Sale (t) (Yt) (t) (Yt) (t) (Y
2. The data table below presents a popular brand of sweater sale (by quarters) over the past three years: 2013 Sale 2014 Sale 2015 Sale (t) (Yt) (t) (Yt) (t) (Y
2. The data table below presents a popular brand of sweater sale (by quarters) over the past three years: 2013 Sale 2014 Sale 2015 Sale (t) (Yt) (t) (Yt) (t) (Y

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