The paper describes the MATLAB (MathWorks) programs that were developed during the REU workshop1 to implement The Aerospace Corporation developed Unified Game-based Acquisition Framework and Advanced Game - based Mathematical Framework (UGAF-AGMF) and its associated War-Gaming Engine (WGE) models. Each game can be played from the perspectives of the Department of Defense Acquisition Authority (DAA) or of an individual contractor (KTR). The programs also implement Aerospace’s optimum “Program and Technical Baseline (PTB) and associated acquisition” strategy that combines low Total Ownership Cost (TOC) with innovative designs while still meeting warfighter needs. The paper also describes the Bayesian Acquisition War-Gaming approach using Monte Carlo simulations, a numerical analysis technique to account for uncertainty in decision making, which simulate the PTB development and acquisition processes and will detail the procedure of the implementation and the interactions between the games.
Paul Vienhage, Heather Barcomb, Karel Marshall, William A. Black, Amanda Coons, Hien T. Tran, Tien M. Nguyen, Andy T. Guillen, James Yoh, Justin Kizer, and Blake A. Rogers, "War-gaming application for future space systems acquisition: MATLAB implementation of war-gaming acquisition models and simulation results," Proc. SPIE 10196, Sensors and Systems for Space Applications X, 1019609 (Presented at SPIE Defense + Security: April 10, 2017; Published: 5 May 2017); https://doi.org/10.1117/12.2263247.
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