Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations

Approved for public release; distribution in unlimited. === Future sea bases, such as the Maritime Prepositioning Force (Future), will serve as key distribution nodes and must be able to sustain forces ashore and selectively offload supplies from storerooms quickly and efficiently. Current MPF ships...

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Bibliographic Details
Main Author: Futcher, Frank W.
Other Authors: Gue, Kevin R.
Format: Others
Published: Monterey, California. Naval Postgraduate School 2012
Subjects:
Online Access:http://hdl.handle.net/10945/849
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-8492017-05-24T16:06:35Z Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations Futcher, Frank W. Gue, Kevin R. Operations Research Stowage Military supplies Storage Logistics Selective Offload Stowage and Retrieval High-Density Stowage Very High Density Storage Systems Sea Basing Storage Configurations Storage Density Sea-Based Logistics (SBL) Maritime Prepositioning Force (MPF) Future (MPF(F)) Sustainment Sea Base Automated Storage and Retrieval Systems (AS/RS) Approved for public release; distribution in unlimited. Future sea bases, such as the Maritime Prepositioning Force (Future), will serve as key distribution nodes and must be able to sustain forces ashore and selectively offload supplies from storerooms quickly and efficiently. Current MPF ships maximize the available cargo storage onboard and have little ability to selectively offload supplies. To make selective offload a reality, MPF(F) requires lower stowage densities and new technologies to efficiently move items, especially for those supplies needed in direct support of forces ashore. The difficult questions are how dense and in what configurations MPF(F) storerooms can be packed, and how items should be retrieved in order to selectively offload supplies and provide acceptable response time. We analyze the trade-off between storage density and mean retrieval time in a dynamic environment for different storage densities and configurations in notional storerooms aboard a future sea base. We examine two demand scenarios and two different retrieval rules to determine how each storage configuration responds to retrieval requests over time. Our results provide insight into the types of storeroom configurations that provide the best mean retrieval times and how a simple retrieval rule can significantly reduce mean retrieval time under certain demand conditions. Lieutenant Commander, United States Navy 2012-03-14T17:29:38Z 2012-03-14T17:29:38Z 2003-09 Thesis http://hdl.handle.net/10945/849 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. xxii, 87 p. : ill., maps (some col.) ; application/pdf Monterey, California. Naval Postgraduate School
collection NDLTD
format Others
sources NDLTD
topic Stowage
Military supplies
Storage
Logistics
Selective Offload
Stowage and Retrieval
High-Density Stowage
Very High Density Storage Systems
Sea Basing
Storage Configurations
Storage Density
Sea-Based Logistics (SBL)
Maritime Prepositioning Force (MPF) Future (MPF(F))
Sustainment
Sea Base
Automated Storage and Retrieval Systems (AS/RS)
spellingShingle Stowage
Military supplies
Storage
Logistics
Selective Offload
Stowage and Retrieval
High-Density Stowage
Very High Density Storage Systems
Sea Basing
Storage Configurations
Storage Density
Sea-Based Logistics (SBL)
Maritime Prepositioning Force (MPF) Future (MPF(F))
Sustainment
Sea Base
Automated Storage and Retrieval Systems (AS/RS)
Futcher, Frank W.
Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
description Approved for public release; distribution in unlimited. === Future sea bases, such as the Maritime Prepositioning Force (Future), will serve as key distribution nodes and must be able to sustain forces ashore and selectively offload supplies from storerooms quickly and efficiently. Current MPF ships maximize the available cargo storage onboard and have little ability to selectively offload supplies. To make selective offload a reality, MPF(F) requires lower stowage densities and new technologies to efficiently move items, especially for those supplies needed in direct support of forces ashore. The difficult questions are how dense and in what configurations MPF(F) storerooms can be packed, and how items should be retrieved in order to selectively offload supplies and provide acceptable response time. We analyze the trade-off between storage density and mean retrieval time in a dynamic environment for different storage densities and configurations in notional storerooms aboard a future sea base. We examine two demand scenarios and two different retrieval rules to determine how each storage configuration responds to retrieval requests over time. Our results provide insight into the types of storeroom configurations that provide the best mean retrieval times and how a simple retrieval rule can significantly reduce mean retrieval time under certain demand conditions. === Lieutenant Commander, United States Navy
author2 Gue, Kevin R.
author_facet Gue, Kevin R.
Futcher, Frank W.
author Futcher, Frank W.
author_sort Futcher, Frank W.
title Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
title_short Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
title_full Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
title_fullStr Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
title_full_unstemmed Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
title_sort selective offload capability simulation (socs) : an analysis of high-density storage configurations
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/849
work_keys_str_mv AT futcherfrankw selectiveoffloadcapabilitysimulationsocsananalysisofhighdensitystorageconfigurations
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