http://smartech.gatech.edu/handle/1853/22226 Spring 2008 Finalists Search the Channel search http://smartech.gatech.edu/simple-search http://smartech.gatech.edu/handle/1853/22328 Title: World Health Organization - Resource Allocation for Malaria Prevention <br/> <br/>Authors: Cataldi, Michele; Cho, Christina; Gutierrez, Cesar; Hull, Jeff; Kim, Phillip; Park, Andrew <br/> <br/>Description: The World Health Organization team members included Michele Cataldi, Christina Cho, Cesar Gutierrez, Jeff Hull, Phillip Kim, and Andrew Park with adviser Julie Swann. In their project titled, Resource Allocation for Malaria Prevention, the group developed a process for allocation and deployment of resources used for malaria prevention in Africa. Using Swaziland as a pilot, the team quantified at-risk populations and times for malaria and intervention costs for spraying or bed nets. They developed recommendations for number and placement of facilities with scheduled deployment for labor, chemicals, and trucks. The team designed an interface to test and visualize Swaziland results and to evaluate benefits of adapting the methodologies throughout Africa. http://smartech.gatech.edu/handle/1853/22327 Title: UPS NAAFN - Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS) <br/> <br/>Authors: Dhabliwala, Jessel; Patrick, Megan; Pelling, Tom; Petty, Nathan; Venugopal, Vikas; Yilmaz, Selin <br/> <br/>Description: The UPS NAAFN team members included Jessel Dhabliwala, Megan Patrick, Tom Pelling, Nathan Petty, Vikas Venugopal, and Selin Yilmaz with adviser Alan Erera. In their project titled, Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS), the team developed new methods for scheduling truck capacity for the NAAFN, minimizing total weekly scheduled and unscheduled trucking costs. Currently, truckload schedules are derived from average weekly demand. In this project, methodology was first developed to estimate day-of-week truckload demand distributions for all lanes. Stochastic scheduling models were then developed to determine truck schedules minimizing expected weekly costs. Results indicate that the new truck schedules may yield cost savings of 10%, or $6M annually. http://smartech.gatech.edu/handle/1853/22235 Title: UPS Direct Ship - Design and Implementation of Auctions for Constrained Third-Party Carrier Networks at UPS <br/> <br/>Authors: Buckler, Katie; Cunningham, Carlanna; Hennington, Jay; Kitchens, Kevin; Odneal, Patrick; Ward, Richard <br/> <br/>Description: The UPS Direct Ship team members included Katie Buckler, Carlanna Cunningham, Jay Hennington, Kevin Kitchens, Patrick Odneal, and Richard Ward with adviser Joel Sokol. In their project titled, Design and Implementation of Auctions for Constrained Third-Party Carrier Networks at UPS, the team recommended constrained combinatorial auctions to determine which third-party carrier should service each land of UPS's Direct Ship network. The team's computer application awards lanes to carriers while meeting UPS's need to increase on-time performance, use fewer carriers, and balance carrier assignments. It also lets UPS compare multiple scenarios, add custom constraints, and identify bids where negotiation is most valuable. The project should save UPS approximately $1.3 million/year and improve customer and carrier satisfaction. http://smartech.gatech.edu/handle/1853/22234 Title: Next Wave - Ocean Carrier Bid Optimization for the Next Wave Agency <br/> <br/>Authors: Araya, Juan; Butts, Steven; Carroll, Owen; Sarver, Emily; Stowe, Justin; Zhang, Jan <br/> <br/>Description: This group worked on a project entitled, Ocean Carrier Bid Optimization for the Next Wave Agency. The team designed an analytical tool to help ocean carriers determine the best bid prices to win contracts in a program where the United States Government sends food aid to impoverished countries through the Food for Peace program. This tool uses forecasting techniques, an optimization model to simulate the contract awarding process, and analysis tools to aid Next Wave Agency in selecting the best bid price. The tool is being implemented during the May 2008 round of bidding.