Client: Los Barrios Unidos Community Clinic
Team: Shorjoe Bhattacharya and Harvey Hauw
Faculty Advisors: Drs. Barr, Bing Year: 2017
Documents: Presentation, Report
Los Barrios Unidos Community Clinic, located in West Dallas, offers services in many different healthcare areas including pediatric care, behavioral health, and obstetrics. The focus of this project was in the obstetrics department, at which patient satisfaction was dropping due to long wait times leading to long appointment durations.
Our team was tasked with collecting time and motion data, mapping out current workflows of the clinic, running a simulation model, and analyzing the results. We collected data with a simple yet effective time and motion study where we asked the individual patients to log their times as they went station to station in the clinic. We also learned the workflows and layout of the clinic by talking to staff members at the location. This was data was used in a computer simulation model of the Obstetrics wing, developed using “MedModel” (specialty healthcare facilities simulation software). The simulation results revealed ways to reduce patient wait times to improve the patient experience at LBUCC.
Senior design project featured (click to view)
NBC Channel 5 news story: Southern Methodist University students focus their project on making the intersection of Fitzhugh and Travis streets in Dallas safer for pedestrians. Senior Design team Andrew Brunts, Hailey Phelps, and David Smith built a simulation of Fitzhugh Avenue traffic to evaluate configuration alternatives for a neighborhood improvement organization.
The stories of three Senior Design projects from the clients’ point of view, including North Texas Food Bank, Texas Department of Transportation, and Southwest Airlines:
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: Arlington Texas Police Department
Team: Ron Andrews, Blake Robinson
Faculty Advisor: Dr. Siems
Year: 2011
Documents: Final Report, Presentation
The Arlington Police Department is responsible for policing the city of Arlington to achieve a safer community. The policing of the city is divided roughly into four main areas (north, south, east, and west) with each respective area possessing its own police station. The Arlington Police Department requested insight into the placement of the police stations to see if they were effectively located to process the level one crimes that originate from each main area. If a main area was not adequately covered, areas could be hypothetically redrawn to accommodate effective policing.
Our method of analysis included the use of in-depth data analysis and a pure network model that had the potential to take into consideration Euclidean distances, time schedules, crime severity and political issues. Our findings indicated that the placement of police stations given current population levels were placed reasonably close to where our model suggested they should be placed. It was also discovered that complex issues such as political issues and crime severity are hard to quantify within a model given due to the ambiguous nature of the data.
Client:
Team: Ava Damri, Calvin Smellage, Al Zinkand
Faculty advisor: Dr. Barr Year: 2009
Documents: Final report (Word), final presentation (PPT)
Our team examines the evacuation of six cities in the Gulf Freeway area stretching from Galveston in the south, to League City in the north. Any model created to solve the problem of evacuating a large number of people in a short time would need to account for real world complexities, such as multiple on-ramps, carrying capacities of highways, and the time required to close on-ramps in an emergency situation. Read more…
Client: Dallas Police Department
Team: Kyle E. Kidd, Eric B. Lakey, S. Tyler Nau
Faculty advisor: Dr. Richard Barr Year: 1995
Documents: Final report
The purpose of this study is to analyze historical data on the Dallas Police Department’s First Offender Programs in order to determine the effectiveness of the programs, and to develop a model to predict the probability of the program being successful for an offender. Using graphing techniques, statistical techniques and operations research techniques the sample was analyzed to reach conclusions about the efficiency of the two programs. Read more…