Exponential forecasting coefficient ? = 0.30,
For Period t, Actual Demand is = At
Forecast = Ft
Exponential Forecast Ft = Ft-1 + ? (At-1 - Ft-1)
Period | at | Ft |
1 | 508 | 508 |
2 | 558 | 508.00 |
3 | 520 | 523.00 |
4 | 658 | 522.10 |
5 | 710 | 562.87 |
6 | 602 | 607.01 |
7 | 784 | 605.51 |
8 | 693 | 659.05 |
9 | 871 | 669.24 |
10 | 893 | 729.77 |
11 | 819 | 778.74 |
12 | 854 | 790.82 |
13 | 809.77 |
Hence, Forecast for Period 13 = 809.77
This Question: 1 pt 15 of 111 (14 complete) Use the following 12 periods of demand...
The ollowing 12 periods of actual demand are to be used to produce a double exponential smoothin forecast or period 13. Use a smoothing constant α e 10 se 70 as the inna al to orecast values ll Click the icon to view the demand for the previous 12 periods Complete the table below for a double exponential smoothing forecast (enter your responses rounded to one decimal place). More Info Period at FD(DES) 64 Period 35 70 41 64 35...
The following table shows the actual demand observed over the last 11 years Year 10 11 Demand 7 4 Using exponential smoothing with α = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 round your responses place) one decimal Year 2 4 10 12 Forecast 6.0
Develop a two-period weighted moving average forecast for periods 12 through 15. Use weights of 0.9 and 0.1, with the most recent observation weighted higher Demand 229 389 461 330 406 Period 10 12 13 Calculate the forecasts for periods 12-15 by using a two-period weighted moving average model (enter your responses rounded to the nearest whole number) Demand 229 389 461 330 Forecast Period 10 12 13 14 406
The following table shows the actual demand observed over the last 11 years: Year 3 4 6 8 9 10 11 1 2 7 Demand 10 6 11 9 12 12 10 8 6 7 0.30 and a forecast for year 1 of 5.0, provide the forecast from periods 2 through 12 (round your responses to one decimal Using exponential smoothing with place) Year 1 3 4 6 8 10 12 2 5 7 9 11 Forecast 5.0 Provide the...
The following table shows the actual demand observed over the last 11 years: 4 6 Year Demand 1 7 2 10 3 4 5 13 8 7 12 8 13 9 8 10 11 11 8 9 Using exponential smoothing with a = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 Forecast 6.0 2 0 3 0 4 0 5 0 6...
Given the following data, use exponential smoothing (α=0.2) to develop a demand forecast. Assume the forecast for the initial period is 5. Period Demand 4 5 7 913 8 The exponential smoothing forecast is (round your responses to two decimal places): Period 3 刄 7 Forecast 5.00
The following table shows the actual demand observed over the last 4 years: ...
Prin. of Supply Chain and Ops Management Section 002 Fall 2020 Homework: Homework 2 - Chapters 9 and 10 with 5 extra credit Score: 0 of 2 pts 8 of 24 (10 complete) Problem 3 Develop an exponential smoothing forecast (a=0.70) for periods 11 through 15 Assume that your forecast for period 10 was 236 Period 10 11 12 13 14 Demand 207 396 470 326 420 Calculate the forecasts for periods 11 through 15 (enter your responses rounded to...
HYV Score: 60%, 18 of 30 pt 44 of 22 (17 complete)> Score: 0 of 2 pts Show Work Question Help Problem 2 Develop a two-period weighted moving average forecast for periods 12 through 15. Use weights of 0.9 and 0.1, with the most recent observation weighted higher. Demand 210 347 458 241 403 Period 10 12 13 14 Calculate the forecasts for periods 12-15 by using a two-period weighted moving average model (enter your responses rounded to the nearest...
Quarterly data for the most recent three years of a products demand is shown below. Use the data to develop a forecast for periods 13 through 16 using classical decomposition of a time series EEl Click the icon to view the demand data that was collected quarterly for the past three years Develop the reseasonalized forecast for periods 13-16 (enter your responses rounded to two decimal pla i More Info Period Reseasonalized Forecast Period 13 570 605 620 480 615...