SURFACE-TO-SURFACE FIRE SUPPORT PLANNING OPTIMIZATION
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Authors
Baker, Jackson A.
Subjects
fire support
EABO
mission planning
convoy routing
indirect fire
unsupervised machine learning
EABO
mission planning
convoy routing
indirect fire
unsupervised machine learning
Advisors
Yoshida, Ruriko
Date of Issue
2024-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
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Abstract
This research aims to provide more capability at the tactical level of operations and add to the infantry centric model it was built on utilizing geospatial data for fire support planning. Force Design 2030 continues to drive transformative shifts in the artillery and fire support community within the Marine Corps. Changes in both material equipment and planning are underway to provide an expedited decision-making process. To further this endeavor, we have developed a model that started with traditional ground combat systems, such as the 81mm mortar and 155mm cannon artillery. This model optimizes the route planning, range estimation, and ammunition allocation to facilitate the execution of an operation by a traditional infantry battalion. We then shifted to the concept of Expeditionary Advanced Based Operations. The Navy Marine Corps Expeditionary Ship Interdiction System Launcher is a two-rocket system capable of disabling enemy surface ships. This is a vital fire support solution to aid in sea denial. It is critical to maximize the engagement area of these missile sections by their positioning on an island at the platoon or battery level. Both models use geospatial intelligence leveraging unsupervised machine learning techniques to classify suitable firing positions. Additionally, this intelligence provides information about the road networks to conduct convoy movements. These models can then provide a ready solution to increase the likelihood of mission success.
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.