Consider the following data. We want to monitor the forecasts.
Period..............Demand............Forecasts
......1...................274....................--
......2...................261....................274
......3...................294....................261
......4...................294....................294
......5...................307....................294
Calculate the UCL and LCL for the appropriate control chart?
Calculate the cumulative error, MAD, and tracking signals.
-Error of period 2
-Error of period 3
-Error of period 4
-Error of period 5
-Overal MSE:
-UCL to monitor the magnitude of the errors
-LCL to monitor the magnitude of the errors
- Are the errors in control?
Yes or No
-Cumulative error up to period 2
-Cumulative error up to period 3
-Cumulative error up to period 4
-Cumulative error up to period 5
-MAD up to period 2
-MAD up to period 3
-MAD up to period 4
-MAD up to period 5
-Tracking signal of period 2
-Tracking signal of period 3
-Tracking signal of period 4
-Tracking signal of period 5
- Based on your tracking signals, are the forecasts biased?
Yes or No
Below is the screenshot of the formula applied to get the result -
Below is the required calculation result -
Consider the following data. We want to monitor the forecasts. Period..............Demand...........
Consider the following data. We want to monitor the forecasts. Period Demand Forecasts 1 52 -- 2 62 59 3 59 58 4 53 65 5 58 66 We want to calculate the UCL and the LCL for the appropriate control chart to monitor the magnitude of errors. Answer the following related questions: Below fill in the blanks (errors of periods 2 through 5). Period Errors 1 2 3 4 5 Calculate the overall MSE to determine if the errors...
Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 62 67 2 75 69 68 3 70 72 70 4 74 66 70 5 69 73 72 6 72 65 76 7 80 74 79 8 78 74 85 a. Compute MAD for each set of forecasts. Given your results, which forecast appears...
Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 63 62 2 75 66 61 3 70 73 70 4 74 65 71 5 69 71 73 6 72 69 73 7 80 70 76 8 78 72 80 a. Compute MAD for each set of forecasts. Given your results, which forecast appears...
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1. Given the data below, compute for the following: a) Forecasts for P5 to P12 using a 4-period simple moving average b) Forecasts for P5 to P12 using a 4-month weighted moving average with the following weights: Most recent period = 0.40 2nd most recent period = 0.30 3rd most recent period = 0.20 4th most recent period = 0.10 Assuming a forecast of 5,000 units for Period 4 and a = 0.30, compute for...
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