Operations Management, 12e (Heizer/Render/Munson)
CASE STUDY: SOUTHWESTERN UNIVERSITY: B
This is the second in a series of integrated case studies that run
throughout the text.
1. One way to address the case is with separate forecasting models
for each game. Clearly, the homecoming game (week 2) and the
fourth game (craft festival) are unique attendance situations.
Forecasts
Game Model 2016 2017 R2
1 y = 30,713 + 2,534x 48,453 50,988 0.92
2 y = 37,640 + 2,146x 52,660 54,806 0.90
3 y = 36,940 + 1,560x 47,860 49,420 0.91
4 y = 22,567 + 2,143x 37,567 39,710 0.88
5 y = 30,440 + 3,146x 52,460 55,606 0.93
Total 239,000 250,530
(where y = attendance and x = time)
LO 4.3: Apply the naïve, moving-average, exponential smoothing, and trend methods
AACSB: Analytical thinking
2. Revenue in 2016 = (239,000) ($50/ticket) = $11,950,000
Revenue in 2017 = (250,530) ($52.50/ticket) = $13,152,825
LO 4.3: Apply the naïve, moving-average, exponential smoothing, and trend methods
AACSB: Analytical thinking
3. In games 2 and 5, the forecast for 2017 exceeds stadium capacity. With this appearing to be a continuing trend, the time has
come for a new or expanded stadium.
LO 4.3: Apply the naïve, moving-average, exponential smoothing, and trend methods
AACSB: Analytical thinking
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Operations Management: Sustainability and Supply Chain Management, 12th Edition (Free Ebooks Download)
Jay Heizer, Texas Lutheran University
Barry Render, Graduate School of Business, Rollins College
Chuck Munson, Carson College of Business, Washington State University
Free Online Course Materials
1. Operations Management Ebooks - Free Downloads
2. Slides - 11th Edition - Free Downloads
3. Slides - 12nd Edition - Free Downloads
4. Full List of Videos Case Studies - Link
5. All articles about Operations Management
http://topten.edu.vn/mba-cases/94-mba-operation-management
6. Need any help with case study guides, email: ecomftu2012@gmail.com
Good Luck and Success!
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