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<p>This thesis develops and assesses possible Marine Aviation Logistics Support Program II (MALSP II) deployment configurations based on current allowancing procedures. MALSP II is intended to provide a more responsive logistics system with less sensitivity to variability in demand and trans-shipment times while reducing the logistical footprint. However, little work has been done on evaluating possible deployment models. We employ a Java-based discrete event simulation and implement a full-factorial experimental design to analyze how factors such as network complexity, distance, and number of aircraft affect the system’s ability to support inventories of a total of 956 different repairable components. We investigate ideal locations to stage high-priority repair components in order to achieve best system performance, given limited resource allowances. By understanding the effects of different deployment configurations, we provide the Deputy Commandant for Aviation, the MALSP II Program Office, and Marine Aviation Logistics Squadrons with a model with which to train and provide decision makers with a better understanding of the MALSP II capabilities over the range of military operations.
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<br>Subjects: MALSP II; discrete event simulation; Marine Corps aviation logistics; deployed aviation logistics; simkit; pull-based logistics; nodal network; logistics network</div>
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Bagley, Brian M.</div>
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