In: Operations Management
Daily high temperatures in St. Louis for the last week were as follows:
92
94,
93
95
97
90
93
(yesterday).
a) The high temperature for today using a 3-day moving average =
degrees (round your response to one decimal place).
b) The high temperature for today using a 2-day moving average =
degrees (round your response to one decimal place).
c) The mean absolute deviation based on a 2-day moving average =
nothing
degrees (round your response to one decimal place).
d) The mean squared error for the 2-day moving average =
nothing
degrees squareddegrees2
(round your response to one decimal place).
e) The mean absolute percent error (MAPE) for the 2-day moving average =
nothing%
(round your response to one decimal
place).
1. FORECAST = SUM(PREVIOUS DEMAND) / N
N VALUE = 3
FORECAST 8 = (97 + 90 + 93) / 3 = 93.33
2. FOR N = 2
FORECAST = SUM(PREVIOUS DEMAND) / N
N VALUE = 2
FORECAST 3 = (92 + 94) / 2 = 93
FORECAST 4 = (94 + 93) / 2 = 93.5
FORECAST 5 = (93 + 95) / 2 = 94
FORECAST 6 = (95 + 97) / 2 = 96
FORECAST 7 = (97 + 90) / 2 = 93.5
FORECAST 8 = (90 + 93) / 2 = 91.5
FORECAST ERROR
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATION(D - F) |
ABS DEVIATION |
(ABS DEV / DEMAND) * 100 |
DEVIATION ^2 |
1 |
92 |
|||||
2 |
94 |
|||||
3 |
93 |
93 |
0 |
0 |
0 |
0 |
4 |
95 |
93.5 |
1.5 |
1.5 |
1.58 |
2.25 |
5 |
97 |
94 |
3 |
3 |
3.09 |
9 |
6 |
90 |
96 |
-6 |
6 |
6.67 |
36 |
7 |
93 |
93.5 |
-0.5 |
0.5 |
0.54 |
0.25 |
SIGMA |
-2 |
11 |
11.88 |
47.5 |
MAD = SUM(ABS ERROR) / N, N = 5
MAD = 11 / 5 = 2.2
MSE = SUM((DEMAND - FORECAST)^2) / N, N = 5
MSE = 47.5 / 5 = 9.5
MAPE = SUM((ABSOLUTE DEVIATION / ACTUAL DEMAND) * 100) / N, N = 5
MAPE = 11.88 / 5 = 2.38
**ALL INTERMEDIATE CALCULATIONS ROUNDED TO 2 DECIMAL PLACES. LET ME KNOW IF YOU FACE ANY PROBLEMS.
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