AN OPTIMIZATION-BASED APPROACH TO MEASURING ROBUSTNESS IN COMMAND AND CONTROL NETWORKS
Diaz, Daniel O.
Alderson, David L., Jr.
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This thesis frames command and control (C2) design as a type of assignment problem involving tasks, missions, resources, and teams. We formulate and solve a sequence of four different optimization problems that assign resources to tasks, missions to teams, tasks to missions, and resources to teams. Our models are based on the assumption that any resource can execute any task; however, the cost for a resource to execute a task depends on the suitability of the resource for that task. An optimal assignment is one that leaves the fewest missions and tasks incomplete while also yielding the lowest execution cost. We characterize the type of work required by a task in terms of a functional requirement, and we characterize the capability of a resource in terms of its resource specialization (e.g., Military Occupational Specialty). We also include nonlinear effects based on the interactions within a team and across a mission. Our goal is to understand the performance effects of optimal teams on the organizational architecture of a C2 network. We find optimal teaming and C2 architecture for a given mission is dependent on problem-specific information such as task requirements, resource specializations, force organization, mission needs, allowed computational time, and data availability.
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