Operations Management: Processes and Supply Chains (11th Edition)
11th Edition
ISBN: 9780133872132
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Textbook Question
Chapter 8, Problem 9P
Consider the sales data for Computer Success given in Problem 7.
- Use a 3-month weighted moving average to
forecast the sales for the months April through December. Use weights of - Use exponential smoothing with
- Compare the performance of the two methods by using the mean absolute deviation as the performance criterion, with error measurement beginning in April. Which method would you recommend?
- Compare the performance of the two methods by using the mean absolute percent error as the performance criterion, with error measurement beginning in April. Which method would you recommend?
- Compare the performance of the two methods by using the mean squared error as time performance criterion, with error measurement beginning in April. Which beginning would you recommend?
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The following data are for calculator sales in units at an electronics store over the past nine weeks:
Week
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1
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2
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7
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3
44
8.
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4
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Use trend projection with regression to forecast sales for weeks 10 - 13. What are the error measures (CFE, MSE, o, MAD, and MAPE) for this forecasting procedure? How about ?
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Period
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10
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71.56
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a. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the
month. For January, let X=1; for February, let X 2; and so on.
The forecasting model is given by the equation Y=X (Enter your responses rounded to two decimal places)
Chapter 8 Solutions
Operations Management: Processes and Supply Chains (11th Edition)
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