Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in thetable below:
Week
1 2 3 4 5 6 7 8 9 10
Demand
19 20 29 38 26 28 37 24 25 30
Forecast
19.0
a) The forecast for weeks 2 through 10 using exponential smoothing with alpha = 0.50 and a week 1 initial forecast of 19.0 are (round your responses to two decimal places):
| Week | Demand | Forecast | |
| 1 | 19 | 19.00 | |
| 2 | 20 | =(0.5*19+0.5*19) | 19.00 |
| 3 | 29 | =(0.5*20+0.5*19) | 19.50 |
| 4 | 38 | =(0.5*29+0.5*19.5) | 24.25 |
| 5 | 26 | =(0.5*38+0.5*24.25) | 31.13 |
| 6 | 28 | =(0.5*26+0.5*31.125) | 28.56 |
| 7 | 37 | =(0.5*28+0.5*28.5625) | 28.28 |
| 8 | 24 | =(0.5*37+0.5*28.28125) | 32.64 |
| 9 | 25 | =(0.5*24+0.5*32.640625) | 28.32 |
| 10 | 30 | =(0.5*25+0.5*28.3203125) | 26.66 |
Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10...
Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 19 21 28 38 26 30 36 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with alpha = 0.55 and a week 1 initial forecast of 19.0 are (round your responses to two decimal places): Week 1 2 3...
Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 28 36 26 29 35 20 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with alpha = 0.55 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3...
Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 19 21 28 38 26 30 36 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with alpha = 0.55 and a week 1 initial forecast of 19.0 are (round your responses to two decimal places): Week 1 2 3...
Jim's department at a local department store has tracked the sales of a product over the last ten weeks. Forecast demand using exponential smoothing with an alpha of 0.4, and an initial forecast of 25.0 for period 1. Calculate the MAD covering periods 1-10. Calculate the tracking signal covering periods 1-10. What do you recommend? Period Demand 1 24 2 23 3 26 4 37 5 26 6 30 7 32 8 27 9 25 10 28
4. The following data are monthly sales of jeans at a local department store. The buyer would like to forecast sales of jeans for the next month, July. (a) Forecast sales of jeans for March through June using the naive method, a two-period moving average, and exponential smoothing with an a = 0.2. (Hint: Use naive to start the exponential smoothing process.) (b) Compare the forecasts using MAD and decide which is best. (c) Using your method of choice, make a forecast for...
2. (20 points) The following table shows the monthly sales in a local grocery store Month and 120 115 125 119 127 114 114 120 124 116 137 10 a. Suppose that Three-weeks moving average are used to forecast sales. Determine the one-step-ahead forecasts for weeks 4 through 10. b. Suppose that exponential smoothing is used with a smoothing constant α-02. Find the exponential smoothing forecasts weeks 4 through 10. (To get the method started, use 120.00 as the forecast...
8. The table below shows the past 10 weeks of actual sales (y) and forecast sales for the next period (Øt+1): Forecast for Week Sales next period 400 400 430 420 440 460 406 408.80 415.04 424.03 427.23 435.78 434.62 440 470 430 435.70 9 440 420 432.56 10 If the actual sales for week 11 were 410, what would the Exponential Smoothing model predict for the sales in week 12 for a=0.20? Page 19 of 20
Orchard Relief is a product that is designed to improve sleep at night. The company, Eli Orchard, is guessing that sales of the product is somewhat related to sleeping patterns of customers over the days of the week. Before mass production of the product, Eli Orchid has market-tested Orchid Relief in only Orange County over the past 8 weeks. The weekly demand is recorded. Eli Orchid is now trying to use the sales pattern over the past 8 weeks to...
Problem II The following time series shows the sales of a clothing store over a 10-week period. Week Sales ($1,000s) 15 a. Compute a 4-week moving average for the above time series. b. Compute the mean square error (MSE) and mean Absolut deviation (MAD) for the 4. week moving average forecast. c. Use a -0.3 to compute the exponential smoothing values and MSE and MAD for the time series. d. Forecast sales for week 11. e. Which model is the...
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 360 September 7 389 September 14 408 September 21 383 September 28 371 October 5 374 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.30 ,...