In: Operations Management
Given the attached data. Answer the following questions for a 6 period moving average.
MAD = Average(|A-F|)
TS =SUM(A-F)/MAD
MSE = Average(A-F)2
1. Compute your forecast for period 51.
The potential answers are:
A: 4414 units.
B: 10290.67 units.
C: 8020.83 units.
D: 6324.8 units.
E: 6351.86 units.
2. Compute the MAD value for period 50.
The potential answers are:
A: 2655.35 units.
B: 3753.86 units.
C: 3892.54 units.
D: 3732.56 units.
E: 3205.7 units.
3. Compute standard deviation of forecast for period 51.
The potential answers are:
A: 3319 units.
B: 4666 units.
C: 4866 units.
D: 2660 units.
E: 4007 units.
4. Compute the TS value for period 50.
The potential answers are:
A: -5.8.
B: 2.5.
C: -0.7.
D: -0.2.
E: -1.3.
5. Compute the MSE value for period 50. The potential answers are:
A: 9474272 units.
B: 18872575 units.
C: 20380735 units.
D: 6274108 units.
E: 13546074 units.
6. Compute the standard deviation of demand for period 51 using MSE.
The potential answers are:
A: 4515 units.
B: 4344 units.
C: 4657 units.
D: 2505 units.
E: 3680 units.
(Excel attached data below)
t | At | |
1 | 2751 | |
2 | 6581 | |
3 | 10658 | |
4 | 5446 | |
5 | 8684 | |
6 | 12896 | |
7 | 7653 | |
8 | 5910 | |
9 | 10607 | |
10 | 15010 | |
11 | 11235 | |
12 | 3866 | |
13 | 9190 | |
14 | 4794 | |
15 | 6408 | |
16 | 4996 | |
17 | 12029 | |
18 | 13516 | |
19 | 8039 | |
20 | 10187 | |
21 | 13176 | |
22 | 8070 | |
23 | 5060 | |
24 | 10542 | |
25 | 3125 | |
26 | 10977 | |
27 | 13051 | |
28 | 7688 | |
29 | 16220 | |
30 | 5333 | |
31 | 3812 | |
32 | 2561 | |
33 | 9289 | |
34 | 5794 | |
35 | 7534 | |
36 | 8041 | |
37 | 2620 | |
38 | 1791 | |
39 | 13253 | |
40 | 4714 | |
41 | 7206 | |
42 | 14435 | |
43 | 2809 | |
44 | 18193 | |
45 | 11674 | |
46 | 4850 | |
47 | 4441 | |
48 | 9661 | |
49 | 4311 | |
50 | 13188 |
In case of 6 period moving average, the forecast for a particular period = the average of the actuals of the previous six periods. In terms of formula, for the 7th period, we calculate the forecast as:
F7 = (A1+A2+A3+A4+A5=A6) /6
Similarly,we calculate the forecasts for all the periods and then calculate the Absolute error which is Absolute difference between the actual and the forecast for that period.
Mean Absolute Deviation (MAD) is the average of all the Absolute Errors
Tracking Signal is the Sum of the Errors divided by the Mean Absolute Deviation
Mean Square Erros (MSE) is the average of the Error Squares
Standard Deviation is the square root of the MSE
Now, we tabulate the working as below and answer the questions :
1. Compute your forecast for period 51.
The answer is C: 8020.83 units.
2. Compute the MAD value for period 50.
The answer is D: 3732.56 units.
3. Compute standard deviation of forecast for period 51.
The answer is Option B 4666 units.
4. Compute the TS value for period 50.
TS = Sum(A-F) / MAD = -2740.50 / 3732.56
The answer is -0.73 and hence option C: -0.7.
5. Compute the MSE value for period 50.
The answer is C: 20380735 units.
6. Compute the standard deviation of demand for period 51 using MSE.
Standard Deviation = Sqrt (MSE) = Sqrt(20380735) = 4514.503 = 4515
The answer is Option A: 4515 units.