Archive

Archive for the ‘Application area’ Category

Forecasting Models for Change in the Construction Industry

February 1st, 2012 No comments

construction_hatClient: Austin Commercial
Team: David Walls
Faculty advisor:  Dr. Barr  Year: 2004
Documents: Final report (PDF)

Austin Commercial is a prominent Texas-based construction firm specializing in large-scale projects, including the American Airlines Center, D/FW Airport, and other Dallas landmarks. In recent years, a major challenge has emerged: how to manage the large number of change orders in their construction projects. The focus of this work is to quantify these changes and calculate their impacts on the construction’s cost and schedule. Read more…

Call Center Personnel Scheduling

February 1st, 2012 No comments

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…

Lockheed Martin: Electromagnetic Pulse Modeling

January 31st, 2012 No comments

EMP blast effects

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…

Improving Efficiency in an Outpatient Services Lab

January 27th, 2012 No comments

methodistdallaslgClient: Methodist Dallas Medical Center
Team: Kyle Chester, Kristin Evanto, and Emily Gray
Faculty Advisor: Dr. Barr
Year: 2010
Documents: Final Report, Presentation

A “hub” of activity at MDMC is the Outpatient Services department. Outpatient Services exists to serve the needs of physicians and surgeons alike with routine x-rays, blood draws to test for Tuberculosis or other ailments, or diagnostics to assess patient health. Many patients who come to Outpatient Services are preparing for surgery and thus need to undergo preliminary screens such as blood draws and EKGs.

The focus of this project is the observation and analysis of the administrative and technical operations within the laboratory component of Outpatient Services. Outpatient Services aims to reduce its patient wait times throughout the entire duration of a patient’s stay in Outpatient Services. Management has expressed a desire to reduce patient wait times such that 95% of all patients wait less than 15 minutes for the Outpatient laboratory department. Read more…

Optimization Models for a Delivery Truck Environment

January 20th, 2012 No comments

long-haul-delivery-trucks-722198
Team: Robert Walters, Donnet Phillips
Faculty advisor:  Dr. Barr  Year: 1986
Documents: Final report (PDF)

There are many optimization procedures and algorithms that can be implemented for delivery operations. The thrust of this paper concerns the following topics and their relavance to delivery vehicles: equipment replacement, truck utilization and optimization, and efficient routing practices. Read more…

Financial Product Mix for Capstone Asset Management

October 31st, 2011 No comments

Client: Capstone Asset Management Co.
Team: Mallory Harrison, Natalie Jaroski
Faculty advisor: Dr. Barr   Year: 2010
Documents: Final report (PDF), Presentation (PDF)

Capstone is a privately owned investment advisory firm in Houston, TX that offers privately managed accounts to achieve client’s financial objectives. They currently manage over $3.8 billion in assets for about 3,000 different clients. They provide products and services through three distribution channels: brokers/advisors, institutions/corporations, and high-net-worth individuals. Revenues are generated by marginal product fees associated with assets under management allocated by product.

Capstone has in place a detailed budgeting process but desires to expand the process to include financial modeling to measure profitability by product. Our goal for this project is to develop a model that would calculate existing profitability on assets under management by product. Our second goal is to develop an optimization model that takes into account the revenues and expenses associated with sales of existing products versus the revenues and expenses associated with the development of new products. The final output of the optimization model is to identify the most profitable mix for new product sales. Read more…

Lennox Industries: Attrition Forecasting

October 31st, 2011 No comments

Client: Lennox Industries
Team:  Diana Batten, Maddie Kamp
Faculty Advisor: Dr. Siems
Year: 2011
Documents: Final Report, Presentation

Lennox Industries is a residential and commercial heating and air-conditioning company with a 13-15% market share in about 80 countries. Lennox is unique in that they operate as both the manufacturer and distributor of their products selling directly to their customers, typically contractors.

This project identified correlations between customers’ buying patterns and their attrition, or loss of their business. Based on transaction-level data of 4,500 customers over a three-year period, an early-warning model was developed to signal the potential loss of a customer and enable Lennox to act preemptively. The analytics were based on a ranking procedure based on key indicators and a Markov chain analysis with categorical transition probabilities derived from historical data. With this model encapsulated in spreadsheet form with the ability to customize the analysis geographically and seasonally, the results give Lennox management a new tool to maintain their current customers and evaluate new markets.

Arlington Police Crime Coverage Model

October 31st, 2011 No comments

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.

Lake Highlands Soccer Association Game Scheduling

December 6th, 2010 No comments

Client: Lake Highlands Soccer Association
Team:  Sherif Khalifa
Faculty Advisor: Dr. Barr
Year: 2008
Documents: Final Report (Word), Presentation (PPT)

The scheduling of sports competitions is a challenge for both professional teams, such as the NBA, to amateur leagues. In this project an effective strategy to model sports scheduling is developed.

Lake Highlands Soccer Association was formed in 1972 to promote the sport of Soccer in Dallas’ Lake Highlands area and throughout North Texas and serves as the “Home Association” for about 1,800 youth players from neighborhoods in the Dallas and Richardson school districts. The LHSA’s Boys League Director provided data that is needed in developing their schedules and a constraint-programming model was implemented  that meets all their requirements and delivers a far more effective solution.

Similar to many leagues, Lake Highland Soccer Association uses an inefficient method of scheduling to determine all leagues games. There is no model in place, and schedules are done manually, leading to many wasted hours to determine a schedule that may be suitable to the each league’s constraints. Read more…

Heelys Order Management: A Reassessment

September 27th, 2010 Comments off

heelys-sneakers-mit-der-rolleClient: Heeling Sports Limited
Team: Gustavo Carrere and Marcus Klintmalm
Faculty Advisor:  Dr. Siems
Year: 2005
Documents: Final Report (PDF)

The Heeling Sports Limited is a Dallas-based footwear designer, manufacturer and distributor. The Company’s mission is to generate new and exciting footwear utilizing contemporary and progressive styles with comfort-enhancing performance features. To generate new footwear style HSL will introduce one product per year through acquisition or in-house development.

Extensive interviews and observation lead us to several bottlenecks in the order process. Most often these bottlenecks concerned procedure rather than anything else. There are many simple, no-cost options to optimizing the Heelys order process. Read more…