Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements

Approved for public release; distribution is unlimited === The Defense Fuel Supply Center (DFSC) is responsible for the acquisition, storage, and distribution of bulk petroleum products to support worldwide military service requirements. DFSC delivers these ftlel products around the globe through a...

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Main Authors: Quiroga, Jorge E., Strength, Jason T.
Other Authors: Boger, Dan C.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2013
Online Access:http://hdl.handle.net/10945/26463
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-264632015-06-20T16:02:35Z Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements Quiroga, Jorge E. Strength, Jason T. Boger, Dan C. Vassian, Bob Naval Postgraduate School Department of Operations Research Approved for public release; distribution is unlimited The Defense Fuel Supply Center (DFSC) is responsible for the acquisition, storage, and distribution of bulk petroleum products to support worldwide military service requirements. DFSC delivers these ftlel products around the globe through a fleet of bulk- cargo tankers which are controlled by Military Sealift Command (MSC). The current method of scheduling cargo deliveries is done manually and takes approxirnately three to five days to complete, requiring close interaction with MSC. The cargo scheduling planners must specifY a feasible load port and time, and discharge port and time for each cargo such that military fuel demands are met and the tankers are utilized efficiently. Currently, there are no mathematical models available to assist scheduling planners in assigning an efficient cargo schedule. The objective of this thesis is to aid scheduling planners in determining the most efficient cargo sequencing plan. This is achieved through the development of a mathematical model which represents the cargo scheduling problem and through the design of a microcomputer interface that allows use of the model as a management tool which seeks to maximize the number of cargo deliveries. Specifically, an optimization model utilizing the network structure of the maximum flow model, which is accessed through a spreadsheet-based interface, is used to solve the cargo scheduling problem 2013-01-23T21:59:42Z 2013-01-23T21:59:42Z 1996-09 Thesis http://hdl.handle.net/10945/26463 ocn640461898 en_US 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, it may not be copyrighted. Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited === The Defense Fuel Supply Center (DFSC) is responsible for the acquisition, storage, and distribution of bulk petroleum products to support worldwide military service requirements. DFSC delivers these ftlel products around the globe through a fleet of bulk- cargo tankers which are controlled by Military Sealift Command (MSC). The current method of scheduling cargo deliveries is done manually and takes approxirnately three to five days to complete, requiring close interaction with MSC. The cargo scheduling planners must specifY a feasible load port and time, and discharge port and time for each cargo such that military fuel demands are met and the tankers are utilized efficiently. Currently, there are no mathematical models available to assist scheduling planners in assigning an efficient cargo schedule. The objective of this thesis is to aid scheduling planners in determining the most efficient cargo sequencing plan. This is achieved through the development of a mathematical model which represents the cargo scheduling problem and through the design of a microcomputer interface that allows use of the model as a management tool which seeks to maximize the number of cargo deliveries. Specifically, an optimization model utilizing the network structure of the maximum flow model, which is accessed through a spreadsheet-based interface, is used to solve the cargo scheduling problem
author2 Boger, Dan C.
author_facet Boger, Dan C.
Quiroga, Jorge E.
Strength, Jason T.
author Quiroga, Jorge E.
Strength, Jason T.
spellingShingle Quiroga, Jorge E.
Strength, Jason T.
Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
author_sort Quiroga, Jorge E.
title Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
title_short Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
title_full Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
title_fullStr Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
title_full_unstemmed Determining an optimal bulk-cargo schedule to satisfy global U.S. military fuel requirements
title_sort determining an optimal bulk-cargo schedule to satisfy global u.s. military fuel requirements
publisher Monterey, California. Naval Postgraduate School
publishDate 2013
url http://hdl.handle.net/10945/26463
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