The demand and forecast information for the XYZ Company over a twelve-month period has been collected in the Microsoft Excel Online file below. Use the Microsoft Excel Online file below to develop forecast accuracy and answer the following questions. Forecast Accuracy Measures Period Actual Demand Forecast Error Absolute Error Error^2 Abs. % Error 1 1,300 1,378 2 2,000 1,676 3 1,800 1,974 4 1,700 2,272 5 2,300 2,570 6 3,800 2,868 7 3,200 3,166 8 3,100 3,464 9 3,900 3,761 10 4,600 4,059 11 4,200 4,357 12 4,300 4,655 Total Average RSFE MAD MSE MAPE Tracking Signal 1. What can be concluded about the quality of the forecasts? Assume that the control limit for the tracking signal is ±3. The results indicate (bias or no bias) in the forecasts, and that the tracking signal (is or is not) within the control limits of ±3. 2. What is the RSFE, MAD, MSE, MAPE, and tracking signal?
The demand and forecast information for the XYZ Company over a twelve-month period has been collected in the Microsoft Excel Online file below. Use the Microsoft Excel Online file below to develop forecast accuracy and answer the following questions. Forecast Accuracy Measures Period Actual Demand Forecast Error Absolute Error Error^2 Abs. % Error 1 1,300 1,378 2 2,000 1,676 3 1,800 1,974 4 1,700 2,272 5 2,300 2,570 6 3,800 2,868 7 3,200 3,166 8 3,100 3,464 9 3,900 3,761 10 4,600 4,059 11 4,200 4,357 12 4,300 4,655 Total Average RSFE MAD MSE MAPE Tracking Signal 1. What can be concluded about the quality of the forecasts? Assume that the control limit for the tracking signal is ±3. The results indicate (bias or no bias) in the forecasts, and that the tracking signal (is or is not) within the control limits of ±3. 2. What is the RSFE, MAD, MSE, MAPE, and tracking signal?
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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The demand and forecast information for the XYZ Company over a twelve-month period has been collected in the Microsoft Excel Online file below. Use the Microsoft Excel Online file below to develop forecast accuracy and answer the following questions.
Forecast Accuracy Measures | ||||||
Period | Actual Demand | Forecast | Error | Absolute Error | Error^2 | Abs. % Error |
1 | 1,300 | 1,378 | ||||
2 | 2,000 | 1,676 | ||||
3 | 1,800 | 1,974 | ||||
4 | 1,700 | 2,272 | ||||
5 | 2,300 | 2,570 | ||||
6 | 3,800 | 2,868 | ||||
7 | 3,200 | 3,166 | ||||
8 | 3,100 | 3,464 | ||||
9 | 3,900 | 3,761 | ||||
10 | 4,600 | 4,059 | ||||
11 | 4,200 | 4,357 | ||||
12 | 4,300 | 4,655 | ||||
Total | ||||||
Average | ||||||
RSFE | MAD | MSE | MAPE | |||
Tracking Signal |
1. What can be concluded about the quality of the forecasts? Assume that the control limit for the tracking signal is ±3. The results indicate (bias or no bias) in the forecasts, and that the tracking signal (is or is not) within the control limits of ±3.
2. What is the RSFE, MAD, MSE, MAPE, and tracking signal?
Expert Solution
Step 1
Given information:
Forecast Accuracy Measures | ||||||
Period | Actual Demand | Forecast | Error | Absolute Error | Error2 | Abs. % Error |
1 | 1,300 | 1,378 | ||||
2 | 2,000 | 1,676 | ||||
3 | 1,800 | 1,974 | ||||
4 | 1,700 | 2,272 | ||||
5 | 2,300 | 2,570 | ||||
6 | 3,800 | 2,868 | ||||
7 | 3,200 | 3,166 | ||||
8 | 3,100 | 3,464 | ||||
9 | 3,900 | 3,761 | ||||
10 | 4,600 | 4,059 | ||||
11 | 4,200 | 4,357 | ||||
12 | 4,300 | 4,655 |
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