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 17P
Summary Introduction

To determine: The one step ahead predictions for July till December 2013 with the use of four month moving average.

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).
National Standard, Inc. sells radio frequency identification (RFID) tags. Monthly demand for a seven-month period is reported below:     Sales (1000 units) Forecast Observation Month Yt Ft 1 February 19   2 March 18   3 April 15   4 May 20   5 June 18   6 July 22   7 August 20   8 September    ? Use Excel to plot the data and forecast September sales using the following methods: The naïve forecast A three-month moving average Exponential smoothing with a smoothing coefficient of α = 0.2, assuming a February forecast of 19 A 3-month weighted moving average, with weights 0.60, 0.3, and 0.1. With 0.6 applied to the most recent past.
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 6 8 4 7 11 7 13 12 10 13 8 This exercise contains only parts​ b, c, and d. Part 2 ​b) Using the​ 3-year moving​ average, provide the forecast from periods 4 through 12 ​(round your responses to one decimal​ place).                                           Part 3 ​c) Using the​ 3-year weighted moving average with weights   0.10​,   0.30​, and   0.60​, using   0.60 for the most recent​ period, provide the forecast from periods 4 through 12​ (round your responses to two decimal​ places).                                           Part 4 ​d) Mean absolute deviation for the forecast developed…
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Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License