Production and Operations Analysis, Seventh Edition
Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 2.6, Problem 15P
Summary Introduction

To determine: The estimate of the standard deviation of forecast error.

Introduction: Forecasting is the main function of predicting the future using the information available for decision making. It is a mechanism for planning decisions based on the predicted information.

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Which of the following measures of forecast fit may correctly be used to compare different forecast models of a given data series? A. Theil's U B. Mean Absolute Error C. Root Mean Square Error D. All of the options are correct.
Forecast bias is useful to determine   a. Seasonality   b. Trends   c. if forecast error is truly random   d. the exponential smoothing factor
A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were   a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 46 for Day 8, an initial trend estimate of 2, and α = β = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.) MSE = Day: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Number sold: 31 32 35 38 38 42 42 43 41 44 46 46 49 55 52
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