Given an actual demand of 107, a previous forecast value of 109, and an alpha of 0.82, the exponential smoothing forecast for the next period would be (rounded to 2 decimals)
For this the formula is as follows:
Ft+1=αAt+ (1-α) Ft
Here α=0.82
At=Actual Demand=107
Ft= Previous forecast value=109
Ft+1 = (0.82) (107) + (1-0.82) 109
= 87.74+ (0.18)109
=87.74+19.62
=107.36
The required answer is 107.36
Given an actual demand of 107, a previous forecast value of 109, and an alpha of...
Given an actual demand this period of 103, a forecast value for this period of 99, and an alpha of 0.4, what is the exponential smoothing forecast for next period?
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...
Given the period 1's demand of 62 and forecast of 65, what is the exponential smoothing forecast with an alpha 0.4 for the period 2? Select one: Оа. 63.8 ob. 66.2 О с 66.8 o o Оe. 60.8
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
Use Solver to determine the alpha that minimizes the MAD for the exponential smoothing forecast for the data that appear in this table. Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MAD. Period Demand 1 272 2 278 3 269 4 280 5 267 6 258 7 278 8 298 9 286 10 290 0.43 0.36 0.54 0.62
Use Solver to determine the alpha that minimizes the MSE for the exponential smoothing forecast for the data that appear in this table. Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MSE. Period Demand 1 272 2 278 3 269 4 280 5 267 6 258 7 278 8 298 9 286 10 290 0.66 0.39 0.57 0.48
The greek letter α ("alpha") in the The greek letter α ("alpha") in the exponential smoothing formula can be any value between -10 and 10 O True O False References True / False The greek letter a ("alpha' in the.. Required information 1000 points "Ft" stands for which thing? "Ft" stands for which thing? O ecast for period t ie output for period t O ecast for period 1-1 。ae response for period t-1 Exponential smoothing takes which.. Exponential smoothing...
Consider the following actual and forecast demand levels for Big Mac hamburgers at a local McDonald's restaurant: Day Monday Tuesday Wednesday Thursday Friday Actual Demand 88.00 75.00 70.00 52.00 Forecast Demand 88.00 88.00 84.10 79.87 The forecast for Monday was derived by observing Monday's demand level and setting Monday's forecast level equal to this demand level. Subsequent forecasts were derived by using exponential smoothing with a smoothing constant of 0.30. Using this exponential smoothing method, the forecast for Big Mac...
An analyst is using exponential smoothing to forecast the daily demand for a key product. The analyst starts with a naive forecast for time period 2, then begins using exponential smoothing with a smoothing constant of 0.15. The table below shows some of the calculations. period actual forecast 1 125 2 136 125 3 144 126.65 4 157 129.25 5 181 ? What is the predicted demand for time period 5? Round your answer to two decimal places. Period Actual...
A small Italian restaurant wants to forecast pepperoni pizza sales. Actual sales and forecasts for the past several months are shown below. The owner prefers to use an exponential smoothing forecasting model with αλπηα&νβσπ; = 0.30. What would be the exponential smoothing forecast for June? Period Demand Forecast April 500 480 May 476 June 503