From 2010 to 2016, the total number of active duty United States Army personnel decreased by over 17%. The Department of Defense uses a variety of instruments to downsize the services, of which the most immediate and impactful is through decreased promotion rates. The Defense Officer Personnel Management Act of 1980 mandates the termination of officers twice not selected for promotion. As such, the promotion rates to the rank of lieutenant colonel (LTC) for 2015 and 2016 were the lowest over the past two decades. Central to each promotion board is the analysis of officer evaluation reports (OERs), the military version of performance appraisals. The biases associated with evaluating employees are well documented, particularly in management literature. These biases can often create a disconnect between the actual performance level of an employee and the management's perception of the employee's performance level. The performance appraisal system in the United States Army is a forced distribution system that restricts the number of above average evaluations raters are allowed to give subordinates. This structure, combined with human behavior and system dynamics, creates an additional bias not currently addressed in literature. v Military personnel systems have long been the subjects for manpower modeling, or workforce planning, due to their size relative to most civilian organizations. Techniques for manpower modeling include dynamic programming, goal programming, Markovian models, and simulation. These techniques assist policy makers with matching the supply of personnel with the available jobs. Rather than analyzing the aggregate requirements by occupation and seniority, this study determines the extent to which the current system promotes the best people into the available jobs. While this is often a subjective measurement, the use of discrete event simulations allows us to quantify the effects of the current system and analyze future policy decisions. In this dissertation, a discrete event simulation framework is considered to replicate the dynamics, structure, and regulatory constraints placed on the officers in the U.S. Army. Using performance appraisal data provided by the United States Army Human Resources Command, we create a multi-objective response function in order to quantify the human behavior associated with evaluating subordinates. We are able to minimize the squared error of our system output with the multi-objective response function using simulation-optimization techniques. Utilizing simulation-optimization techniques for model validation enables estimating unknown input parameters, such as human behavior, based on historical data. Furthermore, the model allows users to analyze the effects of current constraints on the evaluation system and the effects of proposed personnel policy changes. The effectiveness of the performance appraisal system is based on its ability to vi accurately evaluate the officers' performance levels. The model output is analyzed by the number of misidentified individuals a...