SIMULATING AWS SUPPORT TO THE JOINT FORCE IN LBC
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Authors
Reynolds, Kurt N.
Subjects
Modeling and Simulations
M&S
Logistics Battle Command
LBC
Army Watercraft Systems
Design of Experiments
DoE
Nearly Orthogonal Latin Hypercube
NOLH
USINDOPACOM
John's Macintosh Project
JMP
M&S
Logistics Battle Command
LBC
Army Watercraft Systems
Design of Experiments
DoE
Nearly Orthogonal Latin Hypercube
NOLH
USINDOPACOM
John's Macintosh Project
JMP
Advisors
Buss, Arnold H.
Date of Issue
2025-03
Date
Publisher
Monterey, CA; Naval Postgraduate School
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Abstract
As the Army develops requirements for new Army Watercraft Systems (AWS), researchers at The Research and Analysis Center (TRAC) and NPS used Modeling and Simulation (M&S) to evaluate the critical parameters influencing AWS performance. An unclassified vignette set in the USINDOPACOM Area of Responsibility (AOR) was developed using existing AWS data, the Marine Littoral Regiment (MLR) concept, and historical use cases. This vignette was instantiated in the Logistics Battle Command (LBC) modeling tool, which simulated an MLR deployment as part of a Pacific Pathways Exercise. A Design of Experiments (DOE) methodology, incorporating Nearly Orthogonal Latin Hypercube (NOLH) sampling, generated scenarios to assess differences in vessel performance. The study compared existing AWS, such as the Landing Craft Utility (LCU) and Logistics Support Vessel (LSV), to a hypothetical Ship-to-Shore Logistics Vessel (SSLV). A statistical assessment using analysis of variance (ANOVA) in John's Macintosh Project (JMP) found vessel speed, deck space, and number of assets as major factors impacting operational success. The SSLV outperformed conventional systems in terms of efficiency in the scenario, with asset availability emerging as the most important indicator of mission success. Augmented by M&S, these findings emphasize the significance of scalability and performance optimization during joint force deployments to inform analysts investigating future AWS design and acquisition strategies.
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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.