When using the exponential (simple or single) smoothing method, selecting a larger smoothing constant will
| A. |
Has no impact on the forecast |
|
| B. |
Negates the prior period forecast error |
|
| C. |
Makes the forecast less responsive to changes in demand |
|
| D. |
Makes the forecast respond more quickly to changes in the actual demand |
D. Makes the forecast respond more quickly to changes in the actual demand
Using the exponential smoothing method,
F(t+1) = Smoothing constant * Actual(t) + (1-Smoothing constant)*F(t)
If we look at the equation, we can state that the large the constant, the forecast respond more quickly to the changes in the actual demand.
When using the exponential (simple or single) smoothing method, selecting a larger smoothing constant will A....
Which of the followings is not used in forecasting based on the simple exponential smoothing method? A) The most recent forecast for the past year B) Precise actual demand for the past year C) The value of the smoothing constant D) Trend for the past year Please explain.
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...
In a simple exponential smoothing model the manager would prefer a large value of ɑ if he/she wants to respond well to a system characterized by a low level of random behavior but often subjected to a real change in the demand? T or F ...Exponential smoothing assumes that past data is more indicative of the future than the most recent occurrence? ...T or F Subjective forecasting methods should mostly be used for long-term forecast horizons? T or F
A management analyst is using exponential smoothing to predict merchandise returns at an upscale branch of a department store chain. Given an actual number of returns of 35 items in the most recent period completed, a forecast of 49 items for that period, and a smoothing constant of 0.50, what is the forecast for the next period? Round your answer to 2 decimal places.
In Excel, create a forecast for periods 6-13 using the following method: Exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); With exponential smoothing, the forecast for period 13 will be: Period Data 1 45 2 52 3 48 4 59 5 55 6 55 7 64 8 58 9 73 10 66 11 69 12 74 Thank you :)
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 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...
Two experienced managers at Wilson Boat Inc. are resisting the introduction of a computerized exponential smoothing system, claiming that their judgmental forecasts are much better than any computer could do. Their past record of predictions is as follows: Week Actual Demand Manager's Forecast 1 3,800 4,400 2 4,100 4,800 3 4,300 3,700 4 3,100 3,800 5 3,900 3,500 6 4,500 3,500 7 5,700 4,900 8 4,000 4,700 9 4,500 3,500 10 4,900 5,400 How would the manager’s forecast compare to...
Examples 1,2,3
1. Beyond Tea Inc. wants to forecast sales of its menthol green
tea. The company is considering either using a simple mean or a
three-period moving average to forecast monthly sales. Given sales
data for the past 10 months use both forecasting methods to
forecast periods 7 to 10 and then evaluate each. Which method
should they use? Use the selected method to make a forecast for
month 11. (Show all calculations .... Please read Examples1, 2, 3...
Question 6 3 pts Consider the following simple exponential smoothing model. alpha 0.05 Exp Smooth Period Demand ForecastError ABS(Error) 19 21 28 25 30 1 20.00 20.40 20.63 21.10 8.00 4.60 9.37 11.90 8.00 4.60 9.37 11.90 4 What is the forecast for period 10?