1. Which of the following forecasting methods is (are) more appropriate for the demand given in this figure: demand a. Simple exponential smoothing b. Double exponential smoothing c. Simple moving average d. The naïve method time
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- Under what conditions might a firm use multiple forecasting methods?The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?Sara manages one of the Albireds shoe lines, and is working to improve the group's forecasting capabilities so that production will more closely match actual demand (that's the goal, at least!). Work our the exponential smoothing with a smoothing constant equal to 0.2, (seed the model with a January forecast = 16,000). A weighted moving average using 0.6(t-1), 0.3(t-2) and 0.1(t-3)
- 4, The accompanying dataset provides the closing prices for four stocks and the stock exchange over 12 days. Complete parts a through c. Complete the exponential smoothing forecast model for stock B. (Type integers or decimals rounded to two decimal places as needed.) Date Forecast B 09/03/2010 09/07/2010 enter your response here 09/08/2010 enter your response here 09/09/2010 enter your response here 09/10/2010 enter your response here 09/13/2010 enter your response here 09/14/2010 enter your response here 09/15/2010 enter your response here 09/16/2010 enter your response here 09/17/2010 enter your response here 09/20/2010 enter your response here 09/21/2010 enter your response here Date A B C D Stock Exchange 09/03/2010 127.07 18.54 20.84 15.44 10,536.56 09/07/2010 124.84 18.21 20.45 15.55 10,245.77 09/08/2010 125.67 17.77 20.83 15.72…Consider the following actual (A,) and forecast (F,) demand levels for a commercial multiline telephone at Office Max: The first forecast, Fl' was derived by observing A1 and setting F1equal to A 1. Subsequent forecast averages were derived by exponentialsmoothing. Using the exponentia l smoothing method,find the forecast for time period 5. (Hint: You need to first findthe smoothing constant, a.)please answer in excel Jean’s Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that she can schedule the personnel. The manager uses α = 0.3 for exponential smoothing, and the forecast for the first week was 24 calls. The manager also uses 3 weekly moving averages technique. a) Using 3 period moving averages, forecast the number of calls for week 7. b) Using exponential smoothing, forecast the number of calls for week 7. c) Compare these two forecasting techniques using Mean Squared Errors (MSE) measure. Which one is better?
- What should be our forecast accuracy target if there is a high degree of volatility in customer orders and long lead times? We have a new chief sales officer who is proposing that we should forecast in dollars, not in units/cases. I have never heard of anyone forecasting in dollars. It is true that dollarized forecasts can help Sales in knowing precisely what sales target they should be hitting. But, is it the best practice?constants of .6 and .9, develop fo recasts for the sales of VWBeetles. What effect did the smoothing constant have on the forecast?Use MAD to deternline which of the three smoothing constants (.3,.6, or .9) gives the most accurate forecast. ~ (MyLab OperationsManagement also includes a shorter (brief) version of this problem.)A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…
- A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…The accompanying dataset provides the closing prices for four stocks and the stock exchange over 12 days. Complete parts a through c. a. Use Excel's Data Analysis Exponential Smoothing tool to forecast each of the stock prices using simple exponential smoothing with a smoothing constant of 0.3. Complete the exponential smoothing forecast model for stock A. (Type integers or decimals rounded to two decimal places as needed.) Date Forecast A 09/03/2010 09/07/2010 enter your response here 09/08/2010 enter your response here 09/09/2010 enter your response here 09/10/2010 enter your response here 09/13/2010 enter your response here 09/14/2010 enter your response here 09/15/2010 enter your response here 09/16/2010 enter your response here 09/17/2010 enter your response here 09/20/2010 enter your response here 09/21/2010 enter your response here Date A B C D Stock Exchange…
