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 24P: Question 4.24 Mark Gershon, owner of a musical instrument distributorship, thinks that demand for... Problem 25P: Question 4.25 The following gives the number of accidents that occurred on Florida State Highway... Problem 26P Problem 27P: Question 4.27 George Kyparisis owns a company that manufactures sailboats. Actual demand for... Problem 28P: Question 4.28 Attendance at Orlandos newest Disneylike attraction, Lego World, has been as follows:... Problem 29P: Question 4.29 North Dakota Electric Company estimates its demand trend line tin millions of... Problem 30P: Lori Cook has developed the following forecasting model: y=36+43x where... Problem 31P Problem 32P: Question 4.32 The following data relate the sales figures of the bar in Mark Kaltenbachs small... Problem 33P: Question 4.33 The number of internal disk drives (in millions) made at a plant in Taiwan during the... Problem 34P: Question 4.34 The number of auto accidents in Athens, Ohio, is related to the regional number of... Problem 35P: Question 4.35 Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a... Problem 36P: Accountants at the Tucson firm, Larry Youdelman, CPAs, believed that several traveling executives... Problem 37P: Sales of tablet computers at Ted Glickmans electronics store in Washington, D.C., over the past 10... Problem 38P: Question 4.38 City government has collected the following data on annual sales tax collections and... Problem 39P: Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic... Problem 40P: Using the data in Problem 4.39, apply linear regression to study the relationship between the... Problem 41P: Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to... Problem 42P: CEO John Goodale, at Southern Illinois Power and Light, has been collecting data on demand for... Problem 43P: Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the... Problem 44P: Using the 911 call data in Problem 4.43, forecast calls for weeks 2 through 25 with a trend-adjusted... Problem 45P: The following are monthly actual and forecast demand levels for May through December for units of a... Problem 46P: Thirteen students entered the business program at Sante Fe College 2 years ago. The following table... Problem 47P: Question 4.47 Storrs Cycles has just started selling the new Cyclone mountain bike, with monthly... Problem 48P: Question 4.48 Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC),... Problem 49P: Question 4.49 Boulanger Savings and Loan is proud of its long tradition in Winter Park, Florida.... 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