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.
Client: Federal Reserve Bank of Dallas
Team: Alex Grosjean, Brianna Bauer
Faculty Advisor: Dr. Siems
Year: 2011
Documents: Final Report, Presentation
Every month, the Treasury sends out roughly ten million physical checks for Social Security payments and other benefits. On average, it costs them about $1 apiece to send these checks via surface mail. As a cost saving method, the Treasury is now requiring these recipients to use direct-deposit methods, and will eventually cease to send out physical checks.
This is where the Federal Reserve’s GoDirect program comes in. GoDirect is both a call center and a website which helps the recipients switch over to direct deposits, which only cost about 9 cents per person. The return on investment for this project is expected to be ten years. The Call Center wishes to optimize the schedule of employees to handle these incoming calls; thus our goal is to design a model to minimize the cost associated with the call center. Read more…
Client: Lockheed Martin Missiles and Fire Control
Team: Stephen Beckert, Brandon Joslin, Pierce, Meier
Faculty Advisor: Dr. Barr
Year: 2010
Documents: Final Report, Presentation
Lockheed Martin presented us with a project more exciting than we could ever imagine: aiding the research into ways to model the effects of an Electromagnetic Pulse (EMP). EMP is extremely devastating and can be caused by both natural and man-made events. EMP primarily affects electronic devices, rendering them useless or destroyed. Since the United States is heavily dependent on electronic interfaces, we are extremely vulnerable to this effect. In addition to this vulnerability to the EMP effect, the United States has a complex system of connected critical infrastructures that have not been studied as interrelated systems. This presents a major problem, how can one forecast the possible failures of such a massive complex system? Read more…
Categories: Computational probability, Dallas-Ft. Worth Area, Defense, Energy, Final report, Forecasting, Government, Integer programming, Nonlinear programming, Operations, Planning, Presentation, Reliability analysis, Scheduling, Simulation, United States, Video Tags:
Client: Towers Perrin, TeePee Convenience Stores
Team: Eric Mentz, Greg Meurer
Faculty: Dr. Richard Barr Year: 1995
Documents: Final report
Tee Pee is a United-States-based convenience store chain (renamed for confidentiality reasons) consisting of approximately 4000 stores. Tee Pee is in the process of developing a system for their individual store managers that would help them to adequately staff their stores based on customer flow and satisfaction.
The consultants at Towers Perrin formulated a manual model, which was developed into the Store Staffing Tool. We saw an opportunity to automate this model and develop an algorithm that would automatically assign employees to certain hours of the week, based on availability and competency. The resulting output of this algorithm not only shows the work schedule for the week; it also shows the staffing levels required, the total number of labor hours needed during the week, the overall labor cost of running that store for one week, and it highlights which employees are not being used adequately. Read more…
Client: Juliette Fowler Homes
Team: Sonia Amin
Faculty advisor: Dr. Richard Barr Year: 1997
Documents:
Juliette Fowler Homes is a non-profit organization that operates the Pearl Nordan Care Center, an intermediate nursing care facility for senior residents with a capacity of 120 beds. An activities program is scheduled for residents on a weekly basis. Activities at nursing homes are important because they build self-confidence and keep residents alert. A good activities program will, therefore, ultimately promote a sense of well- being for the elderly. In designing a program, social services directors must also consider the significance of state regulations.
The first main research procedure was gathering information on a sample of residents from different functioning levels. Independent ratings were calculated in five need areas according to individual preferences (surveys), attendance histories, and expert opinions: Next, an optimization model was designed to create an activity schedule that maximizes the needs met under a given set of conditions. The results of the resident sample analysis reveal some discrepancies among expert views, resident views, and the actual appeal of activities. The mathematical model reports show which needs are barely met, under-met, and well- met in typical activities programs.