IMTAC a market leader in the production of heavy lathe machinery. The sales over the past 10 months are shown below. Month Actual Sales (units) (1) (2) (3) (4) (5) (6) 78 65 90 71 80 91 84 (8) (9) |(10) 60 75 80 (i) Forecast demand for the month 11 using a weight of 0.5 for the most recent data, 0.3 for the next and 0.2 for the oldest. (ii) If an actual sale during the month 11 is 60, forecast demand for the month of 12 using exponential smoothing method.

IMTAC a market leader in the production of heavy lathe machinery. The sales over the past 10 months are shown below. Month Actual Sales (units) (1) (2) (3) (4) (5) (6) 78 65 90 71 80 91 84 (8) (9) |(10) 60 75 80 (i) Forecast demand for the month 11 using a weight of 0.5 for the most recent data, 0.3 for the next and 0.2 for the oldest. (ii) If an actual sale during the month 11 is 60, forecast demand for the month of 12 using exponential smoothing method.

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.7: Exponential Smoothing Models

Problem 26P: The file P13_26.xlsx contains the monthly number of airline tickets sold by the CareFree Travel...

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The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present in these data? If so, characterize the seasonality pattern. b. Use Winters method to forecast this series with smoothing constants = = 0.1 and = 0.3. Does the forecast series seem to track the seasonal pattern well? What are your forecasts for the next 12 months?
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Under what conditions might a firm use multiple forecasting methods?
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page 4 of 19) - Google Chrome squ.edu.om/mod/quiz/attempt.php?attempt3D1245076&cmid%3663426&page%3D3 earning System (Academic) erations Management || fall20 Quiz stion 4 Mean Absolute Deviation (MAD) is the always the best in assessing a forecast model accuracy yet vered Select one: ked out of O a. True O b. False Hajir lag question 13 Next page 10 19
2. What is the Mean Absolute Deviation (MAD)? 3. Use the following set of data to calculate the Mean Absolute Deviation (MAD) for the following set of data. Month Actual (At) Forecast (Ft) Forecast Error Absolute (Deviation) Forecast Eror January February 45 45 42 50 March 34 45 April May 48 40 38 45 MAD =
A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales duringthe last 15 days wereDay: 1 2 3 4 5 6 7 8 9Number sold: 36 38 42 44 48 49 50 49 52Day: 10 11 12 13 14 15Number sold: 48 52 55 54 56 57a. Using linear trend equation method, predict future sales from the given data.b. If you learn that on some days the store ran out of the specific pain reliever, would that knowledge cause you any concern? Explain.