MyApp is a small but growing startup that sees demand for several of its apps increase quickly. For the last six months, monthly downloads were 235,000, 290,000, 336,000, 390,000, 435,000, and 498,000. Using a
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- Under what conditions might a firm use multiple forecasting methods?arrow_forwardThe 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?arrow_forwardThe file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions. a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do it in two ways. First, fit an exponential trend to the series. Second, use Holts method with optimized smoothing constants. b. Which of these two methods appears to provide the best forecasts? Answer by comparing their MAPE values.arrow_forward
- You manager gave you February 2021 actual sales and sales forecast. This is the only raw data you have access to. Which of the following is the most appropriate technique for forecasting March 2021's sales? a.Simple moving average b.Exponential smoothing c.Causal relationship forecasting d.Simple linear regression e.Weighted moving averagearrow_forwardConsider the monthly sales data of a company for last year as well as first six month data for current year. Use a three- quarter weighted moving average, Forecast the sales of company for 3rd Quarter of current year. Use Weights of 4/7, 2/7 and 1/7, giving more weight to more recent data. Note, the 1ist quarter is Jan, Feb and March , 2nd quarter is Apr, May, June, 3rd quarter is July, Aug and Sept, and 4th quarter is Oct, Nov and Dec. Month Jan Feb Mar April May June July Aug Sept Oct Nov DecLast Year 100 125 135 175 185 200 150 140 130 200 225 250Current Year 125 135 135 190 200 190arrow_forwardThe following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER SALES 1 215 2 240 3 205 4 190 5 160 6 195 7 150 8 140 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to 1 decimal place.arrow_forward
- Which type of analytics is used to know the effect of product price on sales. OA) predictive OB) forecast C) prescriptive D) descriptivearrow_forwardfour techniques used for forecasting sales (market researchers, delphi technique, trend analysis, and econometric models) were introduced. What are some factors when preparing a sales forecast that would lead you to rely on one or two of these techniques more than the others? Support your choice with evidence.arrow_forwardConsider the monthly sales data of a company for last year as well as first six-month data for current year. Use a three- quarter weighted moving average, Forecast the sales of company for 3rd Quarter of current year. Use Weights of 4/7, 2/7 and 1/7, giving more weight to more recent data. Note, the 1ist quarter is Jan, Feb and March, 2nd quarter is Apr, May, June, 3rd quarter is July, Aug and Sept, and 4th quarter is Oct, Nov and Dec. Month Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec Last Yr 100 125 135 175 185 200 150 140 130 200 225 250 Current Yr 125 135 135 190 200 190arrow_forward
- What type of analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the best performance possible? domain predictive prescriptive descriptive What does the robustness of a data mining method refer to? its ability to construct a prediction model efficiently given a large amount of data its speed of computation and computational costs in using the mode its ability to overcome noisy data to make somewhat accurate predictions its ability to predict the outcome of a previously unknown data set accuratelyarrow_forwardThe sales of XYZ company for the previous three periods are 45, 42, and 43 respectively. Estimate the sales of the fourth period by exponential smoothing with 0.5. Use naïve as a starting/initial forecast (Round to 2 decimals) O a. None is correct O b. 43.25 O c. 41 O d. 41.92 O e. 42.8arrow_forwardPLEASE CHOOSE ONE ANSWER AND CLARIFY THE CHOICE A quantitative forecasting class assumes that sales (or other items to be forecast) follow a repetitive pattern over time. When a retailer uses daily sales of each product to identify patterns and to forecast inventory requirements, this is an example of: A::a deterministic model B::a causal model C::a time series forecasting technique D::a qualitative model “A” items are high-dollar value items which represent a small portion (usually 10-20 percent) of requisitions, purchase orders, and inventory items, but a large portion of annual spend (usually 70-80 percent). “A” items in ABC analysis are: A::reviewed infrequently B::normally carried in large quantities C::stored in a relatively insecure warehouse D::particularly critical in financial terms Decoupling inventories are carried __________________________________. The amounts and locations of raw material, work-in-process, and finished goods decoupling inventories depend on…arrow_forward
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage LearningMarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing