Selective offload capability simulation (SOCS) : an analysis of high-density storage configurations
Authors
Futcher, Frank W.
Subjects
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)
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)
Advisors
Gue, Kevin R.
Date of Issue
2003-09
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
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.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xxii, 87 p. : ill., maps (some col.) ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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.