Date of Award
Master of Science in Operations Research
Department of Operational Sciences
Shane N. Hall, PhD
James T. Moore, PhD
This thesis describes a method that optimally deploys weather sensors of all types in a battlefield environment. Gridded climatology models are used to determine an estimate for the weighted frequency of occurrence of operationally significant inclement weather events. That data is used to formulate a series of preemptive Binary Integer Linear Programs that maximize detection of expected operationally significant inclement weather occurrences within the constraints of feasibility of sensor deployment, sensor operational lifespan and the sensor’s ability to detect the operationally significant inclement weather elements. The preemptive Binary Integer Linear Programs are combined into a single objective function that maintains the preemptive nature of the original objective functions. The BILP solutions are described as a meteorology and oceanographic collection plan supporting a particular military campaign. A method for sensitivity analysis of differing BILP optimal solutions is provided. Various realistic instances of the problem are solved to optimality and analyzed to demonstrate that the problem formulation accurately captures all aspects of the problem. This type of analysis was not possible before this methodology was developed.
DTIC Accession Number
Geyer, Andrew J., "Operations-Focused Optimized Theater Weather Sensing Strategies Using Preemptive Binary Integer Programming" (2009). Theses and Dissertations. 2616.