forcasting technique

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Sr. No. Month Demand in Units Formula 1 January 78,750 2 February 80,625 3 March 75,000 4 April 82,500 5 May 93,750 6 June 88,125 7 July 99,375 8 August 91,875 9 September 101,250 10 October 106,875 11 November 118,125 12 December 112,500 13 January 117,500 3605.8*A14 + 70625 14 February 121,106 3605.8*A15 + 70625 15 March 124,712 3605.8*A16 + 70625 16 April 128,318 3605.8*A17 + 70625 0 2 4 6 8 10 12 14 0 50,000 100,000 150,000 f(x) = 3605.76923076923 x + 70625 R² = 0.87896867675261 Demand in Units Month Demand 0 2 4 6 8 10 12 14 16 18 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 Chart Title Month Demand

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Page 1: Forcasting Technique

Sr. No. Month Demand in Units Formula

1 January 78,750

2 February 80,625

3 March 75,000

4 April 82,500

5 May 93,750

6 June 88,125

7 July 99,375

8 August 91,875

9 September 101,250

10 October 106,875

11 November 118,125

12 December 112,500

13 January 117,500 3605.8*A14 + 7062514 February 121,106 3605.8*A15 + 7062515 March 124,712 3605.8*A16 + 7062516 April 128,318 3605.8*A17 + 70625

0 2 4 6 8 10 12 140

20,000

40,000

60,000

80,000

100,000

120,000

140,000

f(x) = 3605.76923076923 x + 70625R² = 0.87896867675261

Demand in Units

Month

Dem

and

0 2 4 6 8 10 12 14 16 180

20,000

40,000

60,000

80,000

100,000

120,000

140,000

Chart Title

Month

Dem

and

Page 2: Forcasting Technique

Month Sales Ratio Formula Seasonal Factor Formula Month1 900 0.88 B2/1025 0.78 AVERAGE(C2,C14) 25

2 800 0.78 B3/1025 0.88 AVERAGE(C3,C15) 26

3 1000 0.98 B4/1025 0.93 AVERAGE(C4,C16) 27

4 1000 0.98 B5/1025 1.12 AVERAGE(C5,C17) 28

5 1400 1.37 1.27 29

6 1500 1.46 1.51 30

7 1500 1.46 1.37 31

8 1400 1.37 1.22 32

9 800 0.78 0.93 33

10 600 0.59 0.73 34

11 300 0.29 0.49 35

12 1000 0.98 0.78 36

13 700 0.68

14 1000 0.98

15 900 0.88

16 1300 1.27

17 1200 1.17

18 1600 1.56

19 1300 1.27

20 1100 1.07

21 1100 1.07

22 900 0.88

23 700 0.68

24 600 0.59Average 1025 24.00

0 5 10 15 20 25 300

200

400

600

800

1000

1200

1400

1600

1800

Sales

Page 3: Forcasting Technique

Seasonal Factor Forecast Formula0.78 800 J2*10250.88 900 J3*10250.93 950 J4*10251.12 1150 J5*10251.27 13001.51 15501.37 14001.22 12500.93 9500.73 7500.49 5000.78 800

Page 4: Forcasting Technique

Month Sales Fcst Formula De-Trended Demand Formula Seasonal Demand1 591 495 6.1104*A2 + 488.54 1.19 B2/C2 1.17

2 550 501 6.1104*A3 + 488.54 1.10 B3/C3 1.10

3 502 507 6.1104*A4 + 488.54 0.99 B4/C4 1.01

4 469 513 0.91 0.93

5 462 519 0.89 0.90

6 461 525 0.88 0.89

7 465 531 0.88 0.88

8 472 537 0.88 0.89

9 495 544 0.91 0.91

10 581 550 1.06 1.03

11 644 556 1.16 1.13

12 662 562 1.18 1.16

13 656 568 1.15

14 632 574 1.10

15 592 580 1.02

16 557 586 0.95

17 543 592 0.92

18 537 599 0.90

19 540 605 0.89

20 548 611 0.90

21 563 617 0.91

22 626 623 1.00

23 691 629 1.10

24 719 635 1.13Average 564.92 1.00

0 5 10 15 20 25 300

100

200

300

400

500

600

700

800

f(x) = 6.1104347826087 x + 488.536231884058R² = 0.320366480226555

Sales

Page 5: Forcasting Technique

Month Trend Formula Seasonal Factor Frcst Formula25 641 6.1104*J2+ 488.54 1.17 753 K2*M226 647 6.1104*J3+ 488.54 1.10 712 K3*M327 654 6.1104*J4+ 488.54 1.01 657 K4*M428 660 0.93 61529 666 0.90 60130 672 0.89 59631 678 0.88 59932 684 0.89 60733 690 0.91 62934 696 1.03 71835 702 1.13 79336 709 1.16 818