Exam 4: Forecasting
Exam 1: Operations and Productivity138 Questions
Exam 2: Operations Strategy in a Global Environment134 Questions
Exam 3: Project Management131 Questions
Exam 4: Forecasting148 Questions
Exam 5: Design of Goods and Services126 Questions
Exam 6: Managing Quality226 Questions
Exam 7: Process Strategies259 Questions
Exam 8: Location Strategies233 Questions
Exam 9: Human Resources, Job Design, and Work Measurement321 Questions
Exam 10: Supply Chain Management158 Questions
Exam 11: Inventory Management230 Questions
Exam 12: Aggregate Planning and Sop122 Questions
Exam 13: Material Requirements Planning Mrp and Erp133 Questions
Exam 14: Short-Term Scheduling124 Questions
Exam 15: Lean Operations122 Questions
Exam 16: Maintenance and Reliability119 Questions
Exam 17: Decision-Making Tools101 Questions
Exam 18: Linear Programming102 Questions
Exam 19: Transportation Models92 Questions
Exam 20: Waiting-Line Models126 Questions
Exam 21: Learning Curves114 Questions
Exam 22: Simulation78 Questions
Exam 23: Applying Analytics to Big Data in Operations Management61 Questions
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What is the forecast for May using a four-month moving average? 
(Multiple Choice)
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The quarterly "make meeting" of Lexus dealers is an example of a sales force composite forecast.
(True/False)
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Use exponential smoothing with trend adjustment to forecast deliveries for period 10. Let alpha = 0.4, beta = 0.2, and let the initial trend value be 4 and the initial forecast be 200.

(Essay)
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A management analyst is using exponential smoothing to predict merchandise returns at an upscale branch of a department store chain. Given an actual number of returns of 154 items in the most recent period completed, a forecast of 172 items for that period, and a smoothing constant of 0.3, what is the forecast for the next period? How would the forecast be changed if the smoothing constant were 0.6? Explain the difference in terms of alpha and responsiveness.
(Essay)
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Weekly sales of copy paper at Cubicle Suppliers are provided in the table below. Compute a three-period moving average and a four-period moving average for weeks 5, 6, and 7. Compute the MAD for both forecasting methods. Which model is more accurate? Forecast week 8 with the more accurate method.
Week Sales (cases)
1 17
2 21
3 26
4 18
5 29
6 17
7 21
(Essay)
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For a given product demand, the time-series trend equation is 53 - 4x. The negative sign on the slope of the equation:
(Multiple Choice)
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Which of the following values of alpha would cause exponential smoothing to respond the QUICKEST to changes in demand data?
(Multiple Choice)
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Given the following data, calculate the five-year moving averages for years 6 through 10.

(Essay)
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Which of the following is NOT a characteristic of exponential smoothing?
(Multiple Choice)
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A good tracking signal has about as much positive error as it has negative error.
(True/False)
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The department manager using a combination of methods has forecast sales of toasters at a local department store. Calculate the MAPE for the manager's forecast. Compare the manager's forecast against a naive forecast covering the same time period. Which is better?

(Essay)
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A forecast with a time horizon of about 3 months to 3 years is typically called a:
(Multiple Choice)
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A measure of forecast error that does not depend upon the magnitude of the item being forecast is the ________.
(Short Answer)
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What is a tracking signal? Explain the connection between adaptive smoothing and tracking signals.
(Essay)
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________ forecasting tries a variety of computer models and selects the best one for a particular application.
(Short Answer)
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Forecasts of individual products tend to be less accurate than forecasts of product families.
(True/False)
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A trend projection equation with a slope of 0.78 means that there is a 0.78 unit rise in Y per period.
(True/False)
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