Poster Title
P-15 War Gaming Applications for Achieving Optimum Acquisition of Future Space Systems
Abstract
In 2014, the federal government spent nearly half a trillion dollars on contractor projects. The Department of Defense wants to develop an algorithm to optimize the acquisition of new technologies. This project makes use of game theory, probability and statistics, non-linear programming and mathematical models to model negotiations between governmental agencies and private contractors. It focuses on generating the optimum solution and its corresponding acquisition strategy for different contract types. This project culminates in a collection of MATLAB (MathWorks) programs and the newly developed strategy shows strong convergence to Nash equilibrium values and successful selection of optimum solutions.
Thesis Record URL
Start Date
3-3-2017 2:30 PM
End Date
3-3-2017 4:00 PM
P-15 War Gaming Applications for Achieving Optimum Acquisition of Future Space Systems
In 2014, the federal government spent nearly half a trillion dollars on contractor projects. The Department of Defense wants to develop an algorithm to optimize the acquisition of new technologies. This project makes use of game theory, probability and statistics, non-linear programming and mathematical models to model negotiations between governmental agencies and private contractors. It focuses on generating the optimum solution and its corresponding acquisition strategy for different contract types. This project culminates in a collection of MATLAB (MathWorks) programs and the newly developed strategy shows strong convergence to Nash equilibrium values and successful selection of optimum solutions.
Acknowledgments
Co-Authors: William Black (Lehigh University), Paul Vienhage (Emory University), Heather Barcomb (SUNY Geneseo).
Mentor: Dr. Shandelle Henson.