Date of Award
3-21-2019
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Bruce A. Cox, PhD
Abstract
United States Coast Guard District 14 is responsible for the execution of eleven statutory missions across the Pacific region. Despite having the largest geographic area of responsibility (AOR), District 14 has command of among the fewest resources to accomplish these missions. When search and rescue (SAR) emergencies occur, these events take immediate priority because the ability to rapidly coordinate available assets can be the difference between saving or losing a life. Using historic records of SAR incidents for District 14, we leverage an approach called the stochastic zonal distribution model to evaluate spatiotemporal trends in emergency rates and response strategies for the probabilistic modeling of future SAR events' location and frequency. The results from this analysis inform the demand parameters of three location problem formulations, which determine the operational posture of the District 14 fleet that minimizes the response to forecasted SAR emergencies. This research provides recommendations regarding the seasonal posturing of assets around the Hawaiian is- lands, the expansion of Coast Guard stations across the Pacific Ocean, the acquisition and placement of new maritime assets, and the potential impact of forward deploying assets away from their present homeports.
AFIT Designator
AFIT-ENS-MS-19-M-123
DTIC Accession Number
DTIC Pending
Recommended Citation
Hornberger, Zachary T., "Search and Rescue Operations Forecasting and Optimization" (2019). Theses and Dissertations. 2362.
https://scholar.afit.edu/etd/2362