Dennis Berino April 3‚ 2012 Case Study Southwestern University Traffic Problems Submitted by: Bullen‚ Nino Joseph Comandao‚ Isaac Donato‚ Anna Rica I. Background Southwestern University is experiencing an increased interest in its football program since it hired a big-name coach. As such‚ there have been increased sales in their season tickets. This increase in sales has also increased the traffic problem of the town which is also projected to get worst
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Background Southwestern University (SWU) is located in Stephenville‚ Texas. They have recently hired a new well-known football coach and because of this‚ they are expecting an increase in their fan base for this sport. Their season ticket sales have gone up‚ meaning more revenues‚ however‚ this also means increase in customer complaints due to traffic problems whenever there’s a game. Dr. Marty Starr‚ SWU’s president‚ has asked University Planning Committee to see how they can solve this problem. Based
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Casey Boland Chapter 6 Southwestern University Case 1. Number of Complaints (Responses receiving a C‚ D‚ or E) 175 170 150 118 115 95 55 55 41 35 1009 Seating Speed of Service Printed Program Concession Prices Traffic Season Ticket Plans Parking Entertainment Ticket Pricing Selection of Foods Total Pareto Chart 200 180 160 140 120 100 80 60 40 20 0 The Pareto Chart was used to analyze TQM. Calculating the number of complaints receiving a bad grade (C‚
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Case 1 Southwestern University’s Food Service Southwestern University (SWU)‚ located 30 miles southwest of the Dallas/Fort Worth metroplex‚ has witnessed tremendous growth in its football program (see Southwestern University: A‚ in Chapter 4). With that growth‚ fueled by the hiring of legendary coach Bo Pitterno‚ has come more fame‚ the need for a bigger stadium‚ and more complaints about seating‚ parking‚ long lines‚ and concession stand prices (see Southwestern University: C‚ in Chapter 6).
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Forecasting Problem POM Software: For this part of the problem I need to use the POM software: 1. Forecasting. 2. I should select Module->Forecasting->File->New->Least Squares and multiple regression 3. Use the module to solve the Case Study (Southwestern University). this case study‚ I am are required to build a forecasting model. Assume a linear regression forecasting model and build a model for each of the five games (five models in total) by using the forecasting module of the
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SOUTHWESTERN UNIVERSITY (A) I. STATEMENT OF THE PROBLEM: What should Hill Construction do to ensure that the construction of the first class stadium of Southwestern University will not exceed 270 days? II. OBJECTIVES: General: To come up with a plan of action that will guarantee the completion of the stadium on or before the start of 2010 opening game Specific: To come up with an alternative course of action that will not just meet the required period‚ but will also take into consideration
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Southwestern University: (A) Southwestern University (SWU)‚ a large state college in Stephenville‚ Texas‚ 30 miles south of the Dallas/Fort Worth metroplex‚ enrolls close to 20‚000 students. To bolster its chances of reaching number-one ranking in the Big Eleven Conference‚ in 2003‚ SWU hired the legendary Pitterno as its head coach. One of Pitterno’s demands on joining SWU had been a new stadium. After the 6 months of SWU administrators’ study‚ Dr. Joel Wisner‚ president of SWU‚ had reached a
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Term Project Part II Southwestern University EOQ – 2006 My suggestion for Maddux would be to place his order with First Printing for both the programs‚ and the inserts. For the programs‚ Maddux should base his order on D=300‚000. He should order 31‚622 programs each order. This will equate to ten orders placed throughout the season‚ saving him over $45‚000 compared to Quality Printing‚ and only cost him an extra $2‚500 in pick-up costs. For the inserts‚ Maddux should base his order on D=250
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Southwestern University: Capacity Planning Case Prepared by: Jalotjot‚ Reyes‚ Subang Central Issue: How to guarantee that the various support activities generate revenue? Areas of Consideration: * Marketing/Finance/Human Resource * Items Available/Pricing/Variable Cost/Revenue Distribution Item | Price/Unit | Variable Cost | Revenue | Soft Drink | $1.50 | $0.75 | 25% | Coffee | $2.00 | $0.50 | 25% | Hotdogs | $2.00 | $0.80 | 20% | Hamburgers | $2.50 | $1.00 | 20% | Misc
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1. Using at least two different tools‚ analyze the data and present your conclusions. Using the Pareto Chart‚ the number of times all items were graded with the lowest rating “E” was plotted. Based on this chart and on the 80-20 principle‚ the top 3 items namely Speed of service‚ Printed Program‚ and Seating were causing the rest of the complaints on the rest of the items. Cumulative Frequency Speed of Service Printed Program Seating Entertainment Traffic Pricing Parking Prices Season Ticket Plans
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