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Demand Forecasting Data

The document contains time series data on moving averages, errors, demand forecasts, and seasonal adjustments. It includes weekly, quarterly, and annual demand data over multiple years. Moving averages are shown for 3, 5, and 7 month periods to smooth short-term fluctuations in demand. Seasonal adjustment is applied to account for regular seasonal patterns in the quarterly demand data.

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anirudh.vyas
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0% found this document useful (0 votes)
26 views8 pages

Demand Forecasting Data

The document contains time series data on moving averages, errors, demand forecasts, and seasonal adjustments. It includes weekly, quarterly, and annual demand data over multiple years. Moving averages are shown for 3, 5, and 7 month periods to smooth short-term fluctuations in demand. Seasonal adjustment is applied to account for regular seasonal patterns in the quarterly demand data.

Uploaded by

anirudh.vyas
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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Week Moving Averages Errors

3 month 5 month 7 month 3 month 5 month


1 100
2 125
3 90
4 110
5 105
6 130
7 85
8 102
9 110
10 90
11 105
12 95
13 115
14 120
15 80
16 95
17 100

18
7 month
Week Demand Forecast alpha 0.1

1 100
2 125
3 90
4 110
5 105
6 130
7 85
8 102
9 110
10 90
11 105
12 95
13 115
14 120
15 80
16 95
17 100
Year Demand (In thousands of units)
1 1000
2 1300
3 1800
4 2000
5 2000
6 2000
7 2200
8 2600
9 2900
10 3200

11
12
13
Year Quarter Demand
1 1 520
2 730
3 820 Demand
4 530 1000
2 1 590 900
2 810 800
3 900 700
4 600 600
3 1 650 500
2 900 400
3 1000 300
4 650 200
4 1 100
2 0
0.5 1 1.5 2 2.5
3
4
Demand

2 2.5 3 3.5
Year Q1 Q2 Q3 Q4 Total
1 520 730 820 530 2600
2 590 810 900 600 2900
3 650 900 1000 650 3200
Total 1760 2440 2720 1780 8700

Qtr Avg 586.67 813.33 906.67 593.33 725

SI 0.81 1.12 1.25 0.82


Seasonal Indices

Deseasonalized Data
t
Year Quarter Demand
1 1 1 643 Year
2 2 651 1
3 3 656 2
4 4 648 3
5 2 1 729
6 2 722
7 3 720 900
8 4 733 800
f(x) = 16.814685314
9 3 1 803 700 R² = 0.89049148837
10 2 802 600
11 3 800 500
Axis Title

400
12 4 794
300
13 4 1 834
200
14 2 851 100
15 3 868 0
16 4 885 0 2 4 6
Axis Titl
seasonalized Demand

13 4 1 675
14 2 955
15 3 1086
16 4 724
Q1 Q2 Q3 Q4
643 651 656 648
729 722 720 733
803 802 800 794

Chart Title
900
800
f(x) = 16.8146853146853 x + 615.787878787879
700 R² = 0.890491488377087
600
500
Axis Title

Column D
400 Linear (Column D)
300
200
100
0
0 2 4 6 8 10 12 14
Axis Title

Intercept 615.787879
Slope 16.8146853

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