OPERATION MANAGEMENT
OPERATION MANAGEMENT
2nd Edition
ISBN: 9781260242423
Author: CACHON
Publisher: MCG
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Chapter 15, Problem 8CQ
Summary Introduction

To explain: The effect of statistical noise on the naïve forecast.

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Let's say you are playing the stock market and below period 2020 data was provided. For "stock A" you use a 2 month moving average. For "stock B" you use exponential smoothing with (a = 0.3). What is the Forecast in Stock B for January 2021? Stock A Stock B ... Jan 0.11 Jan 14 Feb 0.20 Feb 11 Mar 0.03 Mar Apr May 1.20 Apr May 6. 0.50 9 Jun 0.03 Jun 12 Jul 0.10 Jul 16 Aug 0.11 Aug Sep 14 Sep 0.56 8 Oct 0.78 Oct Nov 0.44 Nov 4 Dec 0.10 Dec
The most naive forecast can is quite valuable in leading to an organization’s success because it is most widely understood by senior managers. True or False
a. What is your forecast for December of Year 4, making period 1 as the starting period for the regression? b. The actual demand for period 48 was just learned to be 5,100. Add this demand to the Inputs file and change the starting period for the regression to period 2 so that the number of periods in the regression remains unchanged. How much or little does the forecast for period 49 change from the one for period 48? The error measures? Are you surprised?c. Now change the time when the regression starts to period 25 and repeat the process. What differences do you note now? What forecast will you make for period 49?
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