Problem 1ED Problem 1DQ: What is a qualitative foretasting model, and when is its use appropriate? Problem 2DQ: Identify and briefly describe the two general forecasting approaches. Problem 3DQ: Identify the three forecasting time horizons. State an approximate duration for each. Problem 4DQ: Briefly describe the steps that are used to develop a forecasting system. Problem 5DQ: A skeptical manager asks what medium-range forecasts can be used for. Give the manager three... Problem 6DQ: Explain why such forecasting devices as moving averages, weighted moving averages, and exponential... Problem 7DQ: What is the basic difference between a weighted moving average and exponential smoothing? Problem 8DQ: What three methods are used to determine the accuracy of any given forecasting method? How would you... Problem 9DQ: Research and briefly describe the Delphi technique. How would it be used by an employer you have... Problem 10DQ: What is the primary difference between a time-series model and an associative model? Problem 11DQ: Define time series. Problem 12DQ: What effect does the value of the smoothing constant have on the weight given to the recent values? Problem 13DQ: Explain the value of seasonal indices in forecasting. How are seasonal patterns different from... Problem 14DQ: Which forecasting technique can place the most emphasis on recent values? How does it do this? Problem 15DQ: In your own words, explain adaptive forecasting. Problem 16DQ: What is the purpose of a tracking signal? Problem 17DQ: Explain, in your own words, the meaning of the correlation coefficient. Discuss the meaning of a... Problem 18DQ: What is the difference between a dependent and an independent variable? Problem 19DQ: Give examples of industries that are affected by seasonality. Why would these businesses want to... Problem 20DQ: Give examples of industries in which demand forecasting is dependent on the demand for other... Problem 21DQ Problem 1P: The following gives the number of pints of type B blood used at Woodlawn Hospital in the past 6... Problem 2P: 4.2 a. Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b.... Problem 3P: Refer to Problem 4.2. Develop a forecast for years 2 through 12 using exponential smoothing with ... Problem 4P: A check-processing center uses exponential smoothing to forecast the number of incoming checks each... Problem 5P: The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest... Problem 6P: The monthly sales for Yazici Batteries, Inc., were as follows: MONTH SALES January 20 February 21... Problem 7P: The actual demand for the patients at Omaha Emergency Medical Clinic for the first 6 weeks of this... Problem 8P: Daily high temperatures in St. Louis for the last week were as follows: 93, 94, 93, 95, 96, 88, 90... Problem 9P: Lenovo uses the ZX-81 chip in some of its laptop computers. The prices for the chip during the past... Problem 10P: Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown... Problem 11P: Use exponential smoothing with a smoothing constant of 0.3 to forecast the registrations at the... Problem 12P: Consider the following actual and forecast demand levels for Big Mac hamburgers at a local McDonalds... Problem 13P: As you can see in the following table, demand for heart transplant surgery at Washington General... Problem 14P: Following are two weekly forecasts made by two different methods for the number of gallons of... Problem 15P: Refer to Solved Problem 4.1 on page 138. a. Use a 3-year moving average to forecast the sales of... Problem 16P: Solved example 4.1 Sales of Volkswagens popular Beetle have grown steadily at auto dealerships in... Problem 17P: Refer to Solved Problem 4.1. Using smoothing constants of .6 and .9, develop forecasts for the sales... Problem 18P: Consider the following actual (At) and forecast (Ft) demand levels for a commercial multiline... Problem 19P: Income at the architectural firm Spraggins and Yunes for the period February to July was as follows:... Problem 20P: Question 4.20 Resolve Problem 4.19 with =.1 and =.8. Using MSE, determine which smoothing... Problem 21P: Question 4.21 Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages... Problem 22P: Question 4.22 Refer to Problem 4.21. Complete the trend-adjusted exponential-smoothing forecast... Problem 23P: Question 4.23 Sales of quilt covers at Bud Baniss department store in Carbondale over the past year... Problem 43P: Question 4.24 Mark Gershon, owner of a musical instrument distributorship, thinks that demand for... Problem 24P: Question 4.25 The following gives the number of accidents that occurred on Florida State Highway... Problem 25P Problem 26P: Question 4.27 George Kyparisis owns a company that manufactures sailboats. Actual demand for... Problem 27P: Question 4.28 Attendance at Orlandos newest Disneylike attraction, Lego World, has been as follows:... Problem 28P: Question 4.29 North Dakota Electric Company estimates its demand trend line tin millions of... Problem 44P: Lori Cook has developed the following forecasting model: y=36+43x where... Problem 45P Problem 46P: Question 4.32 The following data relate the sales figures of the bar in Mark Kaltenbachs small... Problem 29P: Question 4.33 The number of internal disk drives (in millions) made at a plant in Taiwan during the... Problem 47P: Question 4.34 The number of auto accidents in Athens, Ohio, is related to the regional number of... Problem 48P: Question 4.35 Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a... Problem 49P: Accountants at the Tucson firm, Larry Youdelman, CPAs, believed that several traveling executives... Problem 59P: Sales of tablet computers at Ted Glickmans electronics store in Washington, D.C., over the past 10... Problem 50P: Question 4.38 City government has collected the following data on annual sales tax collections and... Problem 30P: Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic... Problem 51P: Using the data in Problem 4.39, apply linear regression to study the relationship between the... Problem 52P: Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to... Problem 31P: Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the... Problem 32P: Using the 911 call data in Problem 4.43, forecast calls for weeks 2 through 25 with a trend-adjusted... Problem 60P: The following are monthly actual and forecast demand levels for May through December for units of a... Problem 53P: Thirteen students entered the business program at Sante Fe College 2 years ago. The following table... Problem 33P: Question 4.47 Storrs Cycles has just started selling the new Cyclone mountain bike, with monthly... Problem 54P: Question 4.48 Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC),... Problem 35P Problem 36P Problem 37P Problem 38P Problem 39P Problem 40P Problem 41P Problem 42P Problem 55P Problem 56P Problem 57P Problem 58P Problem 61P Problem 1CS: Case study Southwestern University: (B) This integrated case study runs throughout the text. Other... Problem 2CS: Case study Southwestern University: (B) This integrated case study runs throughout the text. Other... Problem 3CS: Southwestern University: (B) This integrated case study runs throughout the text. Other issues... Problem 1.1VC: For its first 2 decades of existence, the NBAs Orlando Magic basketball team set seat prices for its... Problem 1.2VC: For its first 2 decades of existence, the NBAs Orlando Magic basketball team set seat prices for its... Problem 1.3VC: For its first 2 decades of existence, the NBAs Orlando Magic basketball team set seat prices for its... Problem 1.4VC: For its first 2 decades of existence, the NBAs Orlando Magic basketball team set seat prices for its... Problem 2.1VC: Forecasting at Hard Rock Cafe Video Case With the growth of Hard Rock Cafefrom one pub in London in... Problem 2.2VC: Forecasting at Hard Rock Cafe Video Case With the growth of Hard Rock Cafefrom one pub in London in... Problem 2.3VC: Forecasting at Hard Rock Cafe Video Case With the growth of Hard Rock Cafefrom one pub in London in... Problem 2.4VC: Forecasting at Hard Rock Cafe Video Case With the growth of Hard Rock Cafefrom one pub in London in... Problem 2.5VC: Forecasting at Hard Rock Cafe Video Case With the growth of Hard Rock Cafefrom one pub in London in... format_list_bulleted