Operations Management: Sustainability and Supply Chain Management (12th Edition)
Operations Management: Sustainability and Supply Chain Management (12th Edition)
12th Edition
ISBN: 9780134130422
Author: Jay Heizer, Barry Render, Chuck Munson
Publisher: PEARSON
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Chapter 4, Problem 10P

Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table:

Chapter 4, Problem 10P, Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown

  1. a. Develop a 3-year moving average to forecast registrations from year 4 to year 12.
  2. b. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1.
  3. c. Graph the original data and the two forecasts. Which of the two forecasting methods seems better?
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Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: Year -1 2 Registrations (000) 5.0 5.0 Year Forecast 4 4.3 This exercise contains only parts a and b. a) Using a 3-year moving average, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): 5 4.6 4 3 3.0 5 6 6.6 7 8 4 5 6 9 10 6.0 11.0 9.0 7.0 9.0 13.0 16.0 6 7 8.7 8 9 7 9 8.3 b) Using a 3-year weighted moving average in which the registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): Year Forecast 8 10 9.6 9 11 12.6 10 12 15.3 11 11 17.0 12
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: Year 1 2 3 4 5 7 8 9 10 11 Registrations (000) 5.0 5.0 5.0 4.0 11.0 9.0 6.0 11.0 13.0 16.0 17.0 This exercise contains only parts a and b. a) Using a 3-year moving average, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): Year 4 6 7 8 10 11 12 Forecast 4.67 6.67 8 8.67 8.67 10 13.33 15.33 b) Using a 3-year weighted moving average in which the registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): Year 4 5 6 7 8 10 11 12 Forecast
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: 1 2 67 8 9 9 10 10 11 Year Registrations (000) 3 4 5 46 4 5 10 8 7 What is the MAD? 2.54 9 12 14 15 a. Develop a 3-year moving average to forecast registrations from year 4 to year 12. What is the forecast? 13.67 b. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1. What is the forecast? [Select] What is the MAD? [Select] c. Use exponential smoothing with (a = .47), assume the initial period forecast is 5. What is the forecast for the next period? [Select] What is the MAD? [Select ] d. Based on Error Analysis, which of the forecasting methods seems better? [Select] >

Chapter 4 Solutions

Operations Management: Sustainability and Supply Chain Management (12th Edition)

Ch. 4 - Define time series.Ch. 4 - What effect does the value of the smoothing...Ch. 4 - Explain the value of seasonal indices in...Ch. 4 - Which forecasting technique can place the most...Ch. 4 - In your own words, explain adaptive forecasting.Ch. 4 - What is the purpose of a tracking signal?Ch. 4 - Explain, in your own words, the meaning of the...Ch. 4 - What is the difference between a dependent and an...Ch. 4 - Give examples of industries that are affected by...Ch. 4 - Give examples of industries in which demand...Ch. 4 - Prob. 21DQCh. 4 - Prob. 22DQCh. 4 - The following gives the number of pints of type B...Ch. 4 - 4.2 a. Plot the above data on a graph. Do you...Ch. 4 - Refer to Problem 4.2. Develop a forecast for years...Ch. 4 - A check-processing center uses exponential...Ch. 4 - The Carbondale Hospital is considering the...Ch. 4 - The monthly sales for Yazici Batteries, Inc., were...Ch. 4 - The actual demand for the patients at Omaha...Ch. 4 - Daily high temperatures in St. Louis for the last...Ch. 4 - Lenovo uses the ZX-81 chip in some of its laptop...Ch. 4 - Data collected on the yearly registrations for a...Ch. 4 - Use exponential smoothing with a smoothing...Ch. 4 - Consider the following actual and forecast demand...Ch. 4 - As you can see in the following table, demand for...Ch. 4 - Following are two weekly forecasts made by two...Ch. 4 - Refer to Solved Problem 4.1 on page 138. a. Use a...Ch. 4 - Solved example 4.1 Sales of Volkswagens popular...Ch. 4 - Refer to Solved Problem 4.1. Using smoothing...Ch. 4 - Consider the following actual (At) and forecast...Ch. 4 - Income at the architectural firm Spraggins and...Ch. 4 - Question 4.20 Resolve Problem 4.19 with =.1 and ...Ch. 4 - Question 4.21 Refer to the trend-adjusted...Ch. 4 - Question 4.22 Refer to Problem 4.21. Complete the...Ch. 4 - Question 4.23 Sales of quilt covers at Bud Baniss...Ch. 4 - Question 4.25 The following gives the number of...Ch. 4 - Prob. 25PCh. 4 - Question 4.27 George Kyparisis owns a company...Ch. 4 - Question 4.28 Attendance at Orlandos newest...Ch. 4 - Question 4.29 North Dakota Electric Company...Ch. 4 - Question 4.33 The number of internal disk drives...Ch. 4 - Dr. Lillian Fok, a New Orleans psychologist,...Ch. 4 - Emergency calls to the 911 system of Durham, North...Ch. 4 - Using the 911 call data in Problem 4.43, forecast...Ch. 4 - Question 4.47 Storrs Cycles has just started...Ch. 4 - Question 4.49 Boulanger Savings and Loan is proud...Ch. 4 - Question 4.24 Mark Gershon, owner of a musical...Ch. 4 - Lori Cook has developed the following forecasting...Ch. 4 - Prob. 45PCh. 4 - Question 4.32 The following data relate the sales...Ch. 4 - Question 4.34 The number of auto accidents in...Ch. 4 - Question 4.35 Rhonda Clark, a Slippery Rock,...Ch. 4 - Accountants at the Tucson firm, Larry Youdelman,...Ch. 4 - Sales of tablet computers at Ted Glickmans...Ch. 4 - Question 4.38 City government has collected the...Ch. 4 - Using the data in Problem 4.39, apply linear...Ch. 4 - Bus and subway ridership for the summer months in...Ch. 4 - Thirteen students entered the business program at...Ch. 4 - Question 4.48 Dave Fletcher, the general manager...Ch. 4 - The following are monthly actual and forecast...Ch. 4 - Prob. 1CSCh. 4 - Prob. 2CSCh. 4 - Prob. 3CSCh. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...
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