Client: Pratt & Whitney Engine Services
Team: Michael DeVore
Faculty advisor: Barr Year: 2004
Documents: Final report (Word)
The Pratt and Whitney Addison Service Center is a unique situation involving rental engines and their repair. These engines are delivered by a 3rd party carrier and must be checked over and repaired if necessary. At that point the engine must be sent back out to either the customer who rented it or to another intermediate step. The Addison, TX Service Center Manager requested help in optimizing the employee’s time spent on these rental engines. He wanted to know what could be done to improve Service Center response time and maximize output. Read more…
Client: Carrollton Concentra
Team: Daniel Olivares, Beverly Ross, Devin Kyles
Faculty Advisor: Dr. Siems
Year: 2011
Documents: Final Report, Presentation
Concentra presented the problem of cross-staffing some of its employees throughout its centers. The problem addresses a potential decision of staffing methods of which the options were to staff to the market or create a cross-staffing model. These decisions relied upon the variability of patient visits among the centers and the ability to schedule based on future forecasted patient visits. Ultimately, the question was to find if there is an opportunity to staff across all centers or must it be dynamically adjusted based on forecasting by center. A solution to this problem would potentially decrease patient wait times and turnaround times (a patient’s check-in time to checkout time), idle times in which staff members are not performing any duties, and times in which centers experience a heavier traffic flow. Read more…
Client: Texas Plaza, Prof. Peiser
Faculty advisor: Dr. Barr
Year: 1982
Documents: Final report (PDF)
Appeared in different form as a journal cover article. R. Peiser and Scot Andrus, Phasing of Income-Producing Real Estate, Interfaces 13:5 (1983) 1-9.
Integer programming techniques were used to determine the order in which to build office buildings and when to put the space on the market for a seven-building, 90-acre, mixed-use real estate project in Texas. The output of the optimization provided development managers with the schedule for opening each building, the amount of space to be leased each year in each building, and the annual cash flows to the owner.