An engineered resupply system for Humanitarian Assistance and Disaster Relief operations

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Authors
Kang, Wei Sheng Jeremy
Subjects
modeling- and simulation-based systems engineering
humanitarian assistance and disaster relief
resupply operations
operational energy
tradeoff studies
fuel consumption
MANA
agent-based distillation simulation
nearly orthogonal-and-balanced
design of experiments
data farming
statistical analysis
Advisors
Hernandez, Alejandro S.
Sanchez, Susan M.
Date of Issue
2017-09
Date
Sep-17
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This research examines the effectiveness of resupply systems in humanitarian assistance and disaster relief (HADR) operations by exploring different permutations of operational energy (OE)-focused assets and policies that a Marine Expeditionary Unit (MEU) employs to improve its throughput of resources to disaster victims. The basis for the modeled scenario is the support provided by the 31st MEU to the city of Hachinohe as part of Operation TOMODACHI. This thesis focuses on OE and only considers the medium tactical vehicle replacement (MTVR) as the baseline capability. An agent-based simulation is then used to model the effectiveness of OE-focused resupply strategies and capabilities. These options include (1) efficient driving techniques, (2) reducing idling time, (3) hybrid technologies, and (4) follower vehicles. To investigate their effectiveness, this research uses a design of experiments approach to efficiently examine a set of design factors for specified operational plans. Statistical results indicate that the operational plans employing shorter and quicker vehicle convoys that communicate with one another are most effective in resupplying isolated victims. This research also confirms that the employment of OE-focused assets and policies is effective in increasing timeliness of resupply. Taken together, these factors contribute toward increasing the operational reach of a MEU conducting HADR resupply.
Type
Thesis
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Department
Systems Engineering (SE)
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Distribution Statement
Approved for public release; distribution is unlimited.
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