Operations and Supply Chain Management, 9th Edition WileyPLUS Registration Card + Loose-leaf Print Companion
9th Edition
ISBN: 9781119371618
Author: Roberta S. Russell
Publisher: Wiley (WileyPLUS Products)
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Textbook Question
Chapter 12, Problem 13P
Develop a seasonally adjusted
The LawnPlus Fertilizer Company distributes fertilizer to various lawn and garden shops. The company must base its quarterly production
- a. Compute a three-quarter moving average forecast for quarters 4 through 13 and compute the forecast error for each quarter.
- b. Compute a five-quarter moving average forecast for quarters 6 through 13 and compute the forecast error for each quarter.
- c. Compute a weighted three-quarter moving average forecast using weights of .50, .33, and .17 for the most recent, next recent, and most distant data, respectively, and compute the forecast error for each quarter.
- d. Compare the forecasts developed in parts (a), (b), and (c) using cumulative error. Which forecast appears to be most accurate? Do any exhibit any bias?
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Students have asked these similar questions
The manager of Redline Trucking believes that the demand for tires used on his trucks is closely related to the number of miles driven. He has collected the following data covering the past four months.
Month
1
2
3
4
Tires Used
100
150
120
80
Miles Driven
15,000
20,000
17,000
11,000
Write an algebraic equation forecasting the demand for tires. Indicate and explain the independenet and dependant variables and the parameters used in your equation.
The following table shows the actual demand observed over the last 11 years:
Year
1
2
3
4
5
6
7
8
9
10
11
Demand
7
9
6
10
12
7
12
12
9
9
8
Part 2
Using exponential smoothing with
α =
0.30 and a forecast for year 1 of
6.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place).
Part 3
Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers).
The following table shows the actual demand observed over the last 11 years:
1
2
3
4
5
6
7
8
9
10
11
Year
Demand
8
10
5
7
12
8
11
14
8
11
8
This exercise contains only parts b, c, and d.
b) Using the 3-year moving average, provide the forecast from periods 4 through 12 (round your responses to one decimal place).
4
5
6
7
8
9
10
11
12
Year
Forecast
c) Using the 3-year weighted moving average with weights 0.10, 0.30, and 0.60, using 0.60 for the most recent period, provide the forecast from periods 4 through
(round your responses to two decimal places).
5
6
7
8
9
10
11
12
Year
4
Forecast
d) Mean absolute deviation for the forecast developed using the 3-year moving average is 2.14 and for the 3-year weighted moving average is 2.60. Based on this
information, the better forecast is achieved using the
approach.
Chapter 12 Solutions
Operations and Supply Chain Management, 9th Edition WileyPLUS Registration Card + Loose-leaf Print Companion
Ch. 12 - List some of the operations and functions in a...Ch. 12 - What is the difference between quantitative...Ch. 12 - Describe the difference between short- and...Ch. 12 - Prob. 4QCh. 12 - Why is accurate forecasting so important to...Ch. 12 - Discuss the relationship between forecasting and...Ch. 12 - Prob. 7QCh. 12 - Describe the Delphi method for forecasting.Ch. 12 - What is the difference between a trend and a cycle...Ch. 12 - How is the moving average method similar to...
Ch. 12 - In the chapter examples for time series methods,...Ch. 12 - What effect on the exponential smoothing model...Ch. 12 - How does adjusted exponential smoothing differ...Ch. 12 - What determines the choice of the smoothing...Ch. 12 - How does the linear trend line forecasting model...Ch. 12 - Of the time series models presented in this...Ch. 12 - What advantages does adjusted exponential...Ch. 12 - Describe how a forecast is monitored to detect...Ch. 12 - Explain the relationship between the use of a...Ch. 12 - Selecting from MAD, MAPD, MSE, E, and E, which...Ch. 12 - What is the difference between linear and multiple...Ch. 12 - Define the different components (y, x, a, and b)...Ch. 12 - A company that produces video equipment, including...Ch. 12 - The Hartley-Davis motorcycle dealer in the...Ch. 12 - The manager of the I-85 Carpet Outlet needs to be...Ch. 12 - The LawnPlus Fertilizer Company distributes...Ch. 12 - Graph the demand data in Problem 12.3. Can you...Ch. 12 - The chairperson of the department of management at...Ch. 12 - The manager of the Excom Service Station wants to...Ch. 12 - The Intrepid mutual fund of growth stocks has had...Ch. 12 - The Oceanside Hotel is adjacent to City Coliseum,...Ch. 12 - Mary Hernandez has invested in a stock mutual fund...Ch. 12 - Globetron manufactures components for use in small...Ch. 12 - The Bee Line Caf is well known for its popular...Ch. 12 - For the demand data in Problem 12.11, develop a...Ch. 12 - Develop a seasonally adjusted forecast for the...Ch. 12 - Backstreets Pizza delivery service has randomly...Ch. 12 - The Willow River Mining Company mines and ships...Ch. 12 - The Great Northwest Outdoor Company is a catalog...Ch. 12 - Townside Food Vending operates vending machines in...Ch. 12 - The town aquatic center has an indoor pool that...Ch. 12 - Develop an adjusted exponential smoothing forecast...Ch. 12 - During the past five months the emergency room at...Ch. 12 - At its craft store and through its website, the...Ch. 12 - A group of business students at Tech organized a...Ch. 12 - Temco Industries has developed a forecasting model...Ch. 12 - Monitor the forecast in Problem 12.23 for bias...Ch. 12 - Develop a statistical control chart for the...Ch. 12 - Monitor the adjusted exponential smoothing...Ch. 12 - Develop an exponential smoothing forecast with =...
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