In: Operations Management
Lopez Pizza shop wants to determine the best forecast technique for its dough. It evaluates the "exponential smoothing" and "Weighted moving average" methods.
By using MAPE, assess forecasting techniques and provide your advice/explanation for your choice..
a) For "exponential smoothing" consider smoothing constant is ALPHA = 0.5. The firm assumes the initial forecast for month 1 was 11 units (F1 = 11)
b) For the "Weighted Moving average" , the weights used will be 6, and 3. (CONSIDER RECENT TO OLDEST)
Month | Actual demand |
1 | 12 |
2 | 17 |
3 | 20 |
4 | 19 |
WEIGHTED MOVING AVERAGE
FORECAST = SIGMA(WEIGHT FOR PERIOD * DEMAND PER PERIOD) / SUM OF THE WEIGHTS
WHERE LARGEST WEIGHTS ARE MULTIPLIED BY THE MOST RECENT DEMANDS
FORECAST 3 = ((17 * 6) + (12 * 3)) / 9 = 15.33
FORECAST 4 = ((20 * 6) + (17 * 3)) / 9 = 19
FORECAST 5 = ((19 * 6) + (20 * 3)) / 9 = 19.33
FORECAST ERROR
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATION(D - F) |
ABS DEVIATION |
(ABS DEV / DEMAND) * 100 |
1 |
12 |
||||
2 |
17 |
||||
3 |
20 |
15.33 |
4.67 |
4.67 |
23.35 |
4 |
19 |
19 |
0 |
0 |
0 |
SIGMA |
4.67 |
4.67 |
23.35 |
MAPE = SIGMA(ABSOLUTE DEVIATION / DEMAND * 100) / N, WHERE N = 2
MAPE = 23.35 / 2 = 11.68
2. EXPONENTIAL SMOOTHING
FORECAST = FORECAST + (ALPHA * (ACTUAL DEMAND - FORECAST))
FORECAST 2 = 11 + (0.5 * (12 - 11) = 11.5
FORECAST 3 = 11.5 + (0.5 * (17 - 11.5) = 14.25
FORECAST 4 = 14.25 + (0.5 * (20 - 14.25) = 17.13
FORECAST 5 = 17.13 + (0.5 * (19 - 17.13) = 18.07
FORECAST ERROR
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATION(D - F) |
ABS DEVIATION |
(ABS DEV / DEMAND) * 100 |
1 |
12 |
11 |
1 |
1 |
8.33 |
2 |
17 |
11.5 |
5.5 |
5.5 |
32.35 |
3 |
20 |
14.25 |
5.75 |
5.75 |
28.75 |
4 |
19 |
17.13 |
1.87 |
1.87 |
9.84 |
SIGMA |
14.12 |
14.12 |
79.27 |
MAPE = SIGMA(ABSOLUTE DEVIATION / DEMAND * 100) / N, WHERE N = 4
MAPE = 79.27 / 4 = 19.82
**INTERMEDIATE CALCULATIONS ROUNDED TO 2 DECIMAL PLACES. LET ME
KNOW IF YOU FACE ANY PROBLEMS WITH THE ANSWER.