This project employs modeling and simulation analysis in an effort to assess various aspects of the Marine Aviation Logistics Support Program II (MALSP II) doctrine currently in development. MALSP II leverages recent innovations in information technology, logistics chain management, and continuous process improvement in order to improve logistical support to deployed Marine air assets. The model develop in this project is a Discrete Event Simulation, implemented in Java using the SimKit programming libraries. It is employed to specifically analyze aspects of MALSP II doctrine; however, it is sufficiently flexible to analyze various aspects of Legacy MALSP concepts as well. The model is relatively straightforward and has a small number of inputs. In most cases, sufficient data exist to confirm the suitability of modeling a given empirical distribution in a particular manner. In some instances where data are more difficult to obtain, compelling theoretical reasons exist as justification for selecting a particular distribution or algorithm.

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