Operations and Supply Chain Management 9th edition
Operations and Supply Chain Management 9th edition
9th Edition
ISBN: 9781119320975
Author: Roberta S. Russell, Bernard W. Taylor III
Publisher: WILEY
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Chapter 12, Problem 16Q

Of the time series models presented in this chapter, including the moving average and weighted moving average, exponential smoothing and adjusted exponential smoothing, and linear trend line, which one do you consider the best? Why?

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The Tech power plant burns coal and natural gas to generate steam and electricity for all campus buildings. The annual coal consumption at the plant has increased annually for the past 6 years due to an aggressive campus building program. The following table shows the annual coal consumption:   Year Coal Consumption (tons) 1 25000 2 23000 3 28000 4 35000 5 37000 6 42000     Develop a linear trend model to forecast coal consumption for the 7 th year.     Don't answer by pen paper and don't use chatgpt otherwise we will give dounvote
Explain why forecasting devices such as moving averages, weighted moving averages, and exponential smoothing are not good for trendy data series.
Step 1 of 4: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.   Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 33 (most recent), 22 (second latest time period), and 11 (oldest time period). If necessary, round your answer to one decimal place.   Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.500.50. If necessary, round your answer to one decimal place.   Step 4 of 4: Which forecasting method is best and why?

Chapter 12 Solutions

Operations and Supply Chain Management 9th edition

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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