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<p>A major goal of the United States Army modernization strategy is to improve its warfighting capabilities. In executing its mission as the architect of the future Army, the Training and Doctrine Command (TRADOC) has used a heuristic capital allocation algorithm to recommend which candidate Army modernization actions to fund in the development of the Long Range Army Materiel Requirements Plan (LRAMRP). The goal of this thesis is to develop a flexible, responsive, multi-objective, optimization model to replace the existing heuristic capital allocation algorithm. This model maximizes potential warfighting benefits derived from competing Army candidate modernization actions subject to multiple national and Department of the Army goals and constraints. Additionally, this study demonstrates the fast prototyping capability of a weighted, goal programming approach to a multiple objective capital budgeting problem formulated with the General Algebraic Modeling System (GAMS). The model will be implemented by the Army's TRADOC Analysis Command (TRAC) Operations Analysis Center (OAC) as a tool in designing overall optimal Army investment strategies.... Long Range Army Materiel Requirements Plan (LRAMRP), Multi-objective capital budgeting, Weighted linear goal programming, General Algebraic Modeling System (GAMS)
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<br>Subjects: Military planning; United States; Long Range Army Materiel Requirements Plan (LRAMRP); multi-objective capital budgeting; weighted linear goal programming; General Algebraic Modeling System (GAMS)</div>
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Donahue, Scott F.</div>
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