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<p>Operational commanders and planners are challenged with maintaining fleet presence in many environments with limited  resources. To add to this challenge, there are further constraints placed upon assets allocated to a given operational commander  such as replenishments at sea, multinational exercises, diplomatic port visits, and predetermined in-chop and out-chop dates. In the  case of the Combined Maritime Force (CMF), which operates in the FIFTH FLEET Area of Responsibility, these constraints are  further magnified by the fact that ships under his or her operational command are from as many as ten different coalition nations at  any given time. Furthermore, command of the CMF rotates between these coalition nations, increasing the propensity for  inconsistent and sub-optimal resource allocation. This thesis develops a scheduling tool, Coalition Resource Allocation for  Maritime Security (C-RAMS), that is capable of quickly producing a schedule that optimizes a given measure of effectiveness for  assets assigned to the CMF. This C-RAMS tool accounts for logistics requirements and allows a commander to set priorities within  various sub-regions, types of assets, and specific time periods. We illustrate how C-RAMS provides such an optimal schedule and  also provides insights into interactions between different priorities and ship types, including those which may be interpolated for  future force configurations, through the use of Visual Basic with an Excel 2003 user interface.
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<br>Subjects: Dynamic programming; Network analysis (Planning); Mathematical optimization</div>
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Clem, Doyne Damian.</div>
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