Predicting Ranger Assessment and Selection Program 1 success and optimizing class composition

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Authors
Smith, Anthony D.
Subjects
75th Ranger Regiment
Special Operations
data analysis
integer linear programming
optimization
man power analysis
Advisors
Dell, Robert F.
House, Jeffrey
Date of Issue
2017-06
Date
Jun-17
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The 75th Ranger Regiment is a US Army Special Operations unit responsible for executing raids and forcible entry missions across the globe within 18 hours of notification. In this thesis, we conduct the first data analysis and optimization of Ranger Assessment and Selection Program 1 (RASP1). RASP1 is an eight-week selection for volunteers in the grade of E1 (Private) to E5 (Sergeant) implemented up to ten times per year. We create logistic regression and partition tree models to identify significant factors that contribute to a candidate's success at RASP1 and predict graduation rates. We use an integer linear program (ILP) to prescribe the number of soldiers by grade and Military Occupational Specialty to bring to each RASP1 class to efficiently fill required billets across all units in the Ranger Regiment. We provide the Ranger Regiment leadership with flexible models that offer insight to support their manning decisions. We show effects on RASP1 class composition with changes to capacity constraints, input parameters, and demand. For example, we find the Ranger Regiment could reduce the number of annual RASP1 classes from ten to eight based on several realistic assumptions. Such an annual reduction could save hundreds of man hours and significantly reduce training resource requirements (e.g., ammunition, land use, barracks and food). We encourage detailed exploration of our underlying assumptions and continued use of the ILP.
Type
Thesis
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Department
Operations Research (OR)
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Distribution Statement
Approved for public release; distribution is unlimited.
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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.
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