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 2.7, Problem 16P
Summary Introduction

To determine: The one-step-ahead predictions for the demand in January 2014 with the use of 3-, 6-, and 12- month moving averages.

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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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 problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). Compute the one-step-ahead three-month and six-month moving-average forecasts for July through December. What effect does increasing N from 3 to 6 have on the forecasts?
The data below represents the quarterly changes in demand for a product over the next 3 months. Quarter Demand Quarter Demand Quarter Demand 1 120 5 164 9. 180 158 155 10 199 3 164 7 158 11 172 4 160 8. 163 12 170 Apply the following forecasting techniques of the data to estimate the demand in period 13: a. Regression; b. Moving average with base m=3; c. Exponential smoothing with a = 0.1.
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