<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T02:04:17Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/103841" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/103841</identifier><datestamp>2022-01-13T07:53:59Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Christopher G. Caplice.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Kim, Yoo Joon</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-08-02T20:07:33Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-08-02T20:07:33Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/103841</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">953869802</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 69-70).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Product tanker shipping companies in the spot market face severe volatility in demand and in price. We explore shipping companies' two problems: evaluating supply and demand of the market and assigning cargoes in order to maximize profitability. By approximating the market as a queueing system, we obtain utilization ratios, which effectively model supply and demand of the market. This approach directly evaluates the impact of ton-mile on utilization ratios, even a small growth of which may result in a significant supply shortage. Queueing approximation also allows formulation of dynamic ship assignment as a semi-Markov average cost problem, attaining stationary policies. When profit margins are low, a stationary policy frequently rejects cargoes. Despite rejections, it yields the highest profit per cargo, compared to other methods. Such optimal controls remain valid even when demand fluctuates.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yoo Joon Kim.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Transportation</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">70 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Dynamic ship assignment problem with uncertain demands</dim:field>
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   	&lt;Title>Dynamic ship assignment problem with uncertain demands&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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        	&lt;DisplayName>Kim, Yoo Joon&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>Product tanker shipping companies in the spot market face severe volatility in demand and in price. We explore shipping companies&amp;apos; two problems: evaluating supply and demand of the market and assigning cargoes in order to maximize profitability. By approximating the market as a queueing system, we obtain utilization ratios, which effectively model supply and demand of the market. This approach directly evaluates the impact of ton-mile on utilization ratios, even a small growth of which may result in a significant supply shortage. Queueing approximation also allows formulation of dynamic ship assignment as a semi-Markov average cost problem, attaining stationary policies. When profit margins are low, a stationary policy frequently rejects cargoes. Despite rejections, it yields the highest profit per cargo, compared to other methods. Such optimal controls remain valid even when demand fluctuates.&lt;/Abstract>
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