The optimizing aviation supply distribution (MALSP II) study
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Authors
Seagren, Chad
Hancock, Jessica
Subjects
Marine Aviation Logistics Support Program (MALSP)
SimKit
Discrete event simulations
Main Operating Base (MOB)
SimKit
Discrete event simulations
Main Operating Base (MOB)
Advisors
Date of Issue
2013-03-08
Date
Publisher
Monterey, California, Naval Postgraduate School
Language
Abstract
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 SimKLit 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.
Type
Working Paper
Description
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Department
Operations Research
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Distribution Statement
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.