Facility Location Using Cross Decomposition

The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. === Determining the best base stationing for military units can be modeled as a capacitated facility location problem with sole sourcing...

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Main Author: Jackson, Leroy A.
Other Authors: Dell, Robert F.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2013
Subjects:
Online Access:http://hdl.handle.net/10945/30739
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-307392014-12-11T04:02:42Z Facility Location Using Cross Decomposition Jackson, Leroy A. Dell, Robert F. Brown, Gerald G. Naval Postgraduate School (U.S.) cross decomposition facility location unit stationing The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. Determining the best base stationing for military units can be modeled as a capacitated facility location problem with sole sourcing and multiple resource categories. Computational experience suggests that cross decomposition, a unification of Benders Decomposition and Lagrangean relaxation, is superior to other contemporary methods for solving capacitated facility location problems. Recent research extends cross decomposition to pure integer prograrnming problems with explicit application to capacitated facility location problems with sole sourcing; however, this research offers no computational experience. This thesis implements two cross decomposition algorithms for the capacitated facility location problem with sole sourcing and compares these decomposition algorithms with branch and bound methods. For some problems tested, cross decomposition obtains better solutions in less time; however, cross decomposition does not always perform better man branch and bound due to the time required to obtain the cross decomposition bound that is theoretically superior to other decomposition bounds. 2013-04-12T16:44:43Z 2013-04-12T16:44:43Z 1995-12 Thesis http://hdl.handle.net/10945/30739 en_US Approved for public release; distribution is unlimited. Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
topic cross decomposition
facility location
unit stationing
spellingShingle cross decomposition
facility location
unit stationing
Jackson, Leroy A.
Facility Location Using Cross Decomposition
description The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. === Determining the best base stationing for military units can be modeled as a capacitated facility location problem with sole sourcing and multiple resource categories. Computational experience suggests that cross decomposition, a unification of Benders Decomposition and Lagrangean relaxation, is superior to other contemporary methods for solving capacitated facility location problems. Recent research extends cross decomposition to pure integer prograrnming problems with explicit application to capacitated facility location problems with sole sourcing; however, this research offers no computational experience. This thesis implements two cross decomposition algorithms for the capacitated facility location problem with sole sourcing and compares these decomposition algorithms with branch and bound methods. For some problems tested, cross decomposition obtains better solutions in less time; however, cross decomposition does not always perform better man branch and bound due to the time required to obtain the cross decomposition bound that is theoretically superior to other decomposition bounds.
author2 Dell, Robert F.
author_facet Dell, Robert F.
Jackson, Leroy A.
author Jackson, Leroy A.
author_sort Jackson, Leroy A.
title Facility Location Using Cross Decomposition
title_short Facility Location Using Cross Decomposition
title_full Facility Location Using Cross Decomposition
title_fullStr Facility Location Using Cross Decomposition
title_full_unstemmed Facility Location Using Cross Decomposition
title_sort facility location using cross decomposition
publisher Monterey, California. Naval Postgraduate School
publishDate 2013
url http://hdl.handle.net/10945/30739
work_keys_str_mv AT jacksonleroya facilitylocationusingcrossdecomposition
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