The Samuel Bridge Company wants to compare the accuracy of three methods that ithas used to forecast yearly demand. Forecasts of yearly demand from 2018 through2020 are shown below against the actual productions. Comment on their forecastaccuracy by using MSE criterion.ActualMethod AMethod BMethod CDemandforecastsforecastsforecastsYear(million)(million)(million)(million)2018111272019129.1013202013109.12Method A is the most accurate one with MSEA=9Method B is the most accurate one with MSEB=5Method B is the most accurate one with MSEB=6Method C is the most accurate one with MSEC=6Method A is the most accurate one with MSEA=5

Formulas: Error= Actual -Forecast Squared Error = Error2 Mean Square Error (MSE) = ∑Squared ErrorNo.…

Answered: The Samuel Bridge Company wants to…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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If month one has 240,000 demands, month two 250,080 demands, month three 325,00 demands, month four 370,000 demands, month five 420,000 demands and month six 509,00 demands. Use a forecast for the first month of 240,000, an initial trend forecast of 50,000, and smoothing parameters of 0.35 for both demand smoothing and trend smoothing. Compute the forecasts and trends using double exponential smoothing
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 Aug 31 360 Sep 7 370 Sep 14 412 Sep 21 383 Sep 28 371 Oct 5 371 A) The forecasted demand for the week of October 12 using a 3-week moving average = 375 B) Using the 3-week weighted moving average, with weights of 0.10, 0.35, 0.55, using 0,55 for the most recent week, the forecasted demand for the week of October 12=[__] pints (round your response to two decimal places and remember to use the weights in appropriate order- the largest weight applies to most recent period and smallest weight applies to oldest period.)
35 The last seven weeks of demand at a new car dealer are shown below. Use a three-period weighted-moving average forecast to determine a forecast for the 8th week using weights of 3, 2, and 1 (where the most recent week receives the highest weight). (Round all forecasts to the nearest whole unit.) Calculate the MAD for this forecast (covering all weeks in which error comparisons can be made). What does the MAD indicate? Week Sales1 252 303 274 315 276 297 30
The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: CASES OF MERLOT WINE 276 362 YEAR 2005 2006 2007 2008 2009 2010 2011 2012 404 462 364 506 416 382 Using an exponential smoothing model with an alpha value of 0.30, estimate the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, and then smooth the forecast forward to 2012. (Round your intermediate calculations and final answer to the nearest whole number.) Answer is complete but not entirely correct. Forecast for 2012 372
Medium-term forecasts are used for making medium-term decisions related to planning for new products, capital expenditures, facility location or expansion, and research and development. True False
Sales for the past 6 months at Dalworth Company are given in the following table: Month Sales July 52 August 61 September 53 October 35 November 31 December 28 What is the Mean Absolute Deviation (MAD) for August through December forecasts produced by using exponential smoothing with α = 0.4? (Note: Do not round the forecasts, and choose the closest answer.) Multiple Choice 39.64 8.75 15.28 11.94
Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances 3 4 8 6 7 7 Demand for Guitars 4 6 7 5 10 6 This exercise contains only parts b, c, and d. Part 2 b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): Y = enter your response here + enter your response herex
Develop a forecast for the next month using a four-month moving average method. Use the Excel Functions SLOPE and INTERCEPT to write the linear regression prediction equation with Months as the independent variable and sales as the dependent variable. Use the prediction equation to estimate the number of sales in month 9.
Heres a zoom in photo of of the problem/ Please solve
4. The yearly demand for units manufactured by the Orion Company Limited has been as follows:Year Units Year Units1 520 5 8602 830 6 9403 520 7 9904 750 8 850Required:i. Prepare a forecast for year 5 through 8 by using a three-year simple moving average.What is the forecast for year 9?ii. Calculate the Cumulative Frequency Error (CFE), Mean Absolute Deviation (MAD),Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) as at the endof year 8.
Y9
The monthly sales for Yazici Batteries, Inc., were as follows: Jan Feb Mar Apr May Jun Jul Aug Sept Oct 21 23 17 14 11 16 16 18 Nov Dec 20 20 20 24 Month Sales This exercise contains only parts b and c b) The forecast for the next month (Jan) using the naive method=sales (round your response to a whole number). The forecast for the next period (Jan) using a 3-month moving average approach = sales (round your response to two decimal places). The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month= sales (round your response to one decimal place) Using exponential smoothing with a = 0.30 and a September forecast of 21.00, the forecast for the next period (Jan) = sales (round your response to two decimal places). Using a method of trend projection, the forecast for the next month (Jan) = sales (round your response to two decimal places). c) The method…

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