| Quarter | Gallons of Chemical Solution |
| 1 | 550 |
| 2 | 490 |
| 3 | 510 |
| 4 | 590 |
| 5 | 595 |
| 6 | 550 |
| 7 | 565 |
| 8 | 610 |
| 9 | 635 |
| 10 | 565 |
| 11 | 572 |
| 12 | 655 |
Using the data conduct the following:
a. Starting with a forecast of 550 for quarter 1, forecast the demand for quarter 13 using exponential smoothing with α = 0.6. Plot the actual data and the exponentially smoothed forecasts on the same graph. SHOW FORMULA
b. Forecast demand from quarter 2 to quarter 13 using the naïve approach. Plot your forecasts on the graph developed in part a. SHOW FORMULA
c. Looking at the graph in part b, which forecasting method seems to be more appropriate?
d. Determine the MAD (disregard quarter 1 from computations) to confirm your answer in part c. SHOW FORMULA IF USED.
EXPONENTIAL SMOOTHING
F(T) = F(T-1) + (ALPHA * (A(T-1) - F(T-1)))
FORECAST 2 = 550 + (0.6 * (550 - 550)) = 550
FORECAST 3 = 550 + (0.6 * (490 - 550)) = 514
FORECAST 4 = 514 + (0.6 * (510 - 514)) = 512
FORECAST 5 = 512 + (0.6 * (590 - 512)) = 559
FORECAST 6 = 559 + (0.6 * (595 - 559)) = 581
FORECAST 7 = 581 + (0.6 * (550 - 581)) = 562
FORECAST 8 = 562 + (0.6 * (565 - 562)) = 564
FORECAST 9 = 564 + (0.6 * (610 - 564)) = 592
FORECAST 10 = 592 + (0.6 * (635 - 592)) = 618
FORECAST 11 = 618 + (0.6 * (565 - 618)) = 586
FORECAST 12 = 586 + (0.6 * (572 - 586)) = 578
FORECAST 13 = 578 + (0.6 * (655 - 578)) = 624
MAD
|
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATIONS |
ABSOLUTE DEVIATION |
|
1 |
550 |
|||
|
2 |
490 |
550 |
-60 |
60 |
|
3 |
510 |
514 |
-4 |
4 |
|
4 |
590 |
512 |
78 |
78 |
|
5 |
595 |
559 |
36 |
36 |
|
6 |
550 |
581 |
-31 |
31 |
|
7 |
565 |
562 |
3 |
3 |
|
8 |
610 |
564 |
46 |
46 |
|
9 |
635 |
592 |
43 |
43 |
|
10 |
565 |
618 |
-53 |
53 |
|
11 |
572 |
586 |
-14 |
14 |
|
12 |
655 |
578 |
77 |
77 |
|
SIGMA |
445 |
MAD = SIGMA(ABS DEV) / N
MAD = 445 / 11 = 40.45
NAIVE FORECAST
FORECAST = DEMAND FOR PREVIOUS PERIOD
|
PERIOD |
DEMAND |
NAIVE FORECAST |
|
1 |
550 |
|
|
2 |
490 |
550 |
|
3 |
510 |
490 |
|
4 |
590 |
510 |
|
5 |
595 |
590 |
|
6 |
550 |
595 |
|
7 |
565 |
550 |
|
8 |
610 |
565 |
|
9 |
635 |
610 |
|
10 |
565 |
635 |
|
11 |
572 |
565 |
|
12 |
655 |
572 |
|
13 |
655 |
MAD
|
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATIONS |
ABSOLUTE DEVIATION |
|
1 |
550 |
|||
|
2 |
490 |
550 |
-60 |
60 |
|
3 |
510 |
490 |
20 |
20 |
|
4 |
590 |
510 |
80 |
80 |
|
5 |
595 |
590 |
5 |
5 |
|
6 |
550 |
595 |
-45 |
45 |
|
7 |
565 |
550 |
15 |
15 |
|
8 |
610 |
565 |
45 |
45 |
|
9 |
635 |
610 |
25 |
25 |
|
10 |
565 |
635 |
-70 |
70 |
|
11 |
572 |
565 |
7 |
7 |
|
12 |
655 |
572 |
83 |
83 |
|
SIGMA |
455 |
MAD = 455 / 11 = 41.36
BASED ON THE MAD, THE EXPONENTIAL SMOOTHING FORECAST IS BETTER.
Quarter Gallons of Chemical Solution 1 550 2 490 3 510 4 590 5 595 6...
excel spreadsheet information:
Month
Sales (in millions of boxes)
1
1306
2
1305
3
1311
4
1313
5
1324
6
1329
7
1346
8
1347
9
1378
10
1394
11
1441
12
1469
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Week
1
2
3
4
5
6
Value
17
13
15
11
15
13
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(i)
(ii)
(iii)
(iv)
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2
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Quarter
Year 1
Year 2
Year 3
Year 4
Year 5
1
20
42
69
98
175
2
101
141
149
211
288
3
168
250
333
388
436
4
6
20
47
91
181
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