<?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>2026-09-20T08:16:39Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/61571" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/61571</identifier><datestamp>2026-06-06T01:06:38Z</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">Cynthia Barnhart.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chiraphadhanakul, Virot</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. 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="contributor" qualifier="department">Massachusetts Institute of Technology. Operations Research Center</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-03-07T15:16:54Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-03-07T15:16:54Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/61571</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">703272860</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center; and, (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.</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 (p. 142-144).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">A myriad of uncontrollable factors in airline operations make delays and disruptions unavoidable. Most conventional scheduling models, however, ignore the presence of uncertainties in actual operations in order to limit the complexity of the problem. This leads to schedules that are prone to delays and disruptions. As a result, there has been wide interest recently in building robustness into airline schedules. In this work, we investigate slack allocation approaches for robust airline schedule planning. In particular, we propose three models: aircraft re-routing model, flight schedule re-timing model, and block time adjustment model, together with their variants. Using data from an international carrier, we evaluate the impacts of the resulting schedules on various performance metrics, including passenger delays. The results show that minor modifications to an original schedule can significantly improve the overall performance of the schedule. Through empirical results, we provide a comprehensive discussion of model behaviors and how an airline's characteristics can affect the strategy for robust scheduling.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Virot Chiraphadhanakul.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Transportation</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">144 p.</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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Routing and scheduling models for robust allocation of slack</dim:field>
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   	&lt;Title>Routing and scheduling models for robust allocation of slack&lt;/Title>
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   	&lt;PublicationDate>2010&lt;/PublicationDate>
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        	&lt;DisplayName>Chiraphadhanakul, Virot&lt;/DisplayName>
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    &lt;Keyword>Operations Research Center.&lt;/Keyword>
    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>A myriad of uncontrollable factors in airline operations make delays and disruptions unavoidable. Most conventional scheduling models, however, ignore the presence of uncertainties in actual operations in order to limit the complexity of the problem. This leads to schedules that are prone to delays and disruptions. As a result, there has been wide interest recently in building robustness into airline schedules. In this work, we investigate slack allocation approaches for robust airline schedule planning. In particular, we propose three models: aircraft re-routing model, flight schedule re-timing model, and block time adjustment model, together with their variants. Using data from an international carrier, we evaluate the impacts of the resulting schedules on various performance metrics, including passenger delays. The results show that minor modifications to an original schedule can significantly improve the overall performance of the schedule. Through empirical results, we provide a comprehensive discussion of model behaviors and how an airline&amp;apos;s characteristics can affect the strategy for robust scheduling.&lt;/Abstract>
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