Zeus Computer Chips Step by Step

# Zeus Computer Chips Step by Step - CHAPTER 3 Solution 2...

• Homework Help
• 8
• 100% (2) 2 out of 2 people found this document helpful

This preview shows pages 1–4. Sign up to view the full content.

CHAPTER 3 Solution 2. HISTORICAL DEMAND Month Demand Jan 12 Feb 11 Mar 15 Apr 12 May 16 Jun 15 a. Weighted moving average forecast Weights are .60, .30, .10 WMAF July = .60 * 15 +.3 *16 + .10 * 12 = 15 b. 3-period moving average forecast MAF July = (15 + 16 + 12)/3 = 43/3 = 14.33 c. Exponential smoothing forecast α = .20, ESF June = 13 ESF July = .20 * 15 + (1-.20) * 13 = 13.4 d. Simple linear regression Month x y xy x2 Jan 1 12 12 1 Feb 2 11 22 4 Mar 3 15 45 9 Apr 4 12 48 16 May 5 16 80 25 Jun 6 15 90 36 21 81 297 91 3-1

This preview has intentionally blurred sections. Sign up to view the full version.

e. Regression forecast x = 7 Y 7 = 10.8 + .7714 * 7 = 16.2 4. ZEUS COMPUTER CHIPS Deseasonalize the data Year Quarter Perio d (x) Actual Demand (y) Average of the same quarter each year Seasonal Factor Deseasonalized Demand (Y d ) x 2 x * Y d 2007 I 1 4800 3833.3 1.23 3902.4 1 3902.4 II 2 3500 2766.7 0.89 3932.6 4 7865.2 III 3 4300 3500.0 1.12 3839.3 9 11517.9 IV 4 3000 2366.7 0.76 3947.4 16 15789.6 2008 I 5 3500 1.23 2845.5 25 14227.5 II 6 2700 0.89 3033.7 36 18202.2 III 7 3500 1.12 3125.0 49 21875 IV 8 2400 0.76 3157.9 64 25263.2 2009 I 9 3200 1.23 2601.6 81 23414.4 II 10 2100 0.89 2359.6 100 23596 III 11 2700 1.12 2410.7 121 26517.7 IV 12 1700 0.76 2236.8 144 26841.6 78 37400 12.00 37392.5 650 219013 Calculate the seasonal factors and then determine the regression trend line Calculate the forecast for 2010 3-2
Year Quarter Period Y from Regression Line Seasonal Factor Forecast (Y * seasonal factor) 2010 I 13 2023.4 1.23 2488.78 II 14 1855.3 0.89 1651.22 III 15 1687.2 1.12 1889.66 IV 16 1519.1 0.76 1154.52 5. BI-MONTHLY SALES DATA a. Plot the data b. Fit simple linear regression model to the data Month x y xy x2 January–February 1 109 109 1 March–April 2 104 208 4 May–June 3 150 450 9 July–August 4 170 680 16 September–October 5 120 600 25 November–December 6 100 600 36 January–February 7 115 805 49

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern