Using agent-based modeling to examine the logistical chain of the seabase

Approved for public release, distribution is unlimited === This thesis examines a 2015 Marine Expeditionary Brigade scheme of maneuver as the baseline scenario for a commercial logistics support software program called SEAWAY. Modifications to this scenario are conducted using a designed experiment...

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Main Author: Milton, Rebecca M.
Other Authors: Sanchez, Susan M.
Format: Others
Published: Monterey, California. Naval Postgraduate School Marc
Subjects:
Online Access:http://hdl.handle.net/10945/1646
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-16462017-05-24T16:07:16Z Using agent-based modeling to examine the logistical chain of the seabase Milton, Rebecca M. Sanchez, Susan M. Brown, Lloyd P. Naval Postgraduate School (U.S.). Department of Operations Research Logistics Computer programs Sea-power United States Sea control Regression analysis Agent-based models Seabasing SEAWAY Latin hypercube (LHC) design Scheme of maneuver (SOM) Marine expeditionary brigade (MEB) Approved for public release, distribution is unlimited This thesis examines a 2015 Marine Expeditionary Brigade scheme of maneuver as the baseline scenario for a commercial logistics support software program called SEAWAY. Modifications to this scenario are conducted using a designed experiment in order to explore how the plan characteristics relate to eleven specified input factors. Multiple regression analysis is used to fit models to the resulting data for three different measures of performance: Total Aircraft Sorties, Total Aircraft Sortie Time and Total Aircraft Tons. The results suggest the plan performance is predicted well by a small subset of the factors and their interactions. One implication of this work is a better understanding of which factors are key determinants of the plan characteristics for variations on this specific base scenario. By using these fitted models, the number of SEAWAY runs needed to identify acceptable plans should decrease dramatically. The approach in this thesis provides a blueprint for similar analyses of other scenarios by demonstrating how information gained from models fit during an exploration phase might allow the logistician to quickly determine factor settings that yield an acceptable plan once details of an operation become available. Finally, working with the SEAWAY developers provided them with some new insights. Lieutenant Commandeer, United States Navy March 2004 2012-03-14T17:32:34Z 2012-03-14T17:32:34Z 2004-03 Thesis http://hdl.handle.net/10945/1646 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. xviii, 70 p. : ill. (some col.) application/pdf Monterey, California. Naval Postgraduate School
collection NDLTD
format Others
sources NDLTD
topic Logistics
Computer programs
Sea-power
United States
Sea control
Regression analysis
Agent-based models
Seabasing
SEAWAY
Latin hypercube (LHC) design
Scheme of maneuver (SOM)
Marine expeditionary brigade (MEB)
spellingShingle Logistics
Computer programs
Sea-power
United States
Sea control
Regression analysis
Agent-based models
Seabasing
SEAWAY
Latin hypercube (LHC) design
Scheme of maneuver (SOM)
Marine expeditionary brigade (MEB)
Milton, Rebecca M.
Using agent-based modeling to examine the logistical chain of the seabase
description Approved for public release, distribution is unlimited === This thesis examines a 2015 Marine Expeditionary Brigade scheme of maneuver as the baseline scenario for a commercial logistics support software program called SEAWAY. Modifications to this scenario are conducted using a designed experiment in order to explore how the plan characteristics relate to eleven specified input factors. Multiple regression analysis is used to fit models to the resulting data for three different measures of performance: Total Aircraft Sorties, Total Aircraft Sortie Time and Total Aircraft Tons. The results suggest the plan performance is predicted well by a small subset of the factors and their interactions. One implication of this work is a better understanding of which factors are key determinants of the plan characteristics for variations on this specific base scenario. By using these fitted models, the number of SEAWAY runs needed to identify acceptable plans should decrease dramatically. The approach in this thesis provides a blueprint for similar analyses of other scenarios by demonstrating how information gained from models fit during an exploration phase might allow the logistician to quickly determine factor settings that yield an acceptable plan once details of an operation become available. Finally, working with the SEAWAY developers provided them with some new insights. === Lieutenant Commandeer, United States Navy
author2 Sanchez, Susan M.
author_facet Sanchez, Susan M.
Milton, Rebecca M.
author Milton, Rebecca M.
author_sort Milton, Rebecca M.
title Using agent-based modeling to examine the logistical chain of the seabase
title_short Using agent-based modeling to examine the logistical chain of the seabase
title_full Using agent-based modeling to examine the logistical chain of the seabase
title_fullStr Using agent-based modeling to examine the logistical chain of the seabase
title_full_unstemmed Using agent-based modeling to examine the logistical chain of the seabase
title_sort using agent-based modeling to examine the logistical chain of the seabase
publisher Monterey, California. Naval Postgraduate School
publishDate Marc
url http://hdl.handle.net/10945/1646
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