<?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>2026-09-19T08:28:27Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/16643" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/16643</identifier><datestamp>2022-01-25T21:33:01Z</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">George E. Apostolakis.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Horng, Tze-Chieh, 1964-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Nuclear Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Nuclear Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Nuclear Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-05-17T14:46:31Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2004</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2004</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">56205370</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 59-60).</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents dealt with in this thesis include non- safety related component failure, equipment maintenance, inspection or testing. MIDAS implements the risk-informed decision analysis methodology that uses multi- attribute utility theory (MAUT) and formal decision-making models that was developed for nuclear power plants. MIDAS integrates the theory, practical models and the graphical user interfaces for analysts to quickly obtain the insight regarding the performance of decision options and driving factors. To be able to deal with the inherent diversity of scenarios and decision options, a well-defined option models and modular calculation structure were constructed in MIDAS. In addition, MIDAS provides the functions of performing sensitivity and uncertainty analyses to take into account the inherent model and parameter uncertainties in decision option evaluation. Two case studies are performed to demonstrate the application of MIDAS in nuclear power plant risk-informed incident management. The insight obtained from the analysis results of case studies reveals that for nuclear power plant incident management, risk usually is not the most important concern. Cost and external attention are usually the dominant deciding factors in decision-making. However, in fact, the safety performance of each option is reflected in terms of the cost and external attention.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Tze-Chieh Horng.</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">155 p.</dim:field>
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   <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">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Nuclear Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">MIDAS : minor incident decision analysis software</dim:field>
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   	&lt;Title>MIDAS : minor incident decision analysis software&lt;/Title>
   	&lt;Subtitle>Minor incident decision analysis software&lt;/Subtitle>
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   	&lt;PublicationDate>2004&lt;/PublicationDate>
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   	&lt;Abstract>MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents dealt with in this thesis include non- safety related component failure, equipment maintenance, inspection or testing. MIDAS implements the risk-informed decision analysis methodology that uses multi- attribute utility theory (MAUT) and formal decision-making models that was developed for nuclear power plants. MIDAS integrates the theory, practical models and the graphical user interfaces for analysts to quickly obtain the insight regarding the performance of decision options and driving factors. To be able to deal with the inherent diversity of scenarios and decision options, a well-defined option models and modular calculation structure were constructed in MIDAS. In addition, MIDAS provides the functions of performing sensitivity and uncertainty analyses to take into account the inherent model and parameter uncertainties in decision option evaluation. Two case studies are performed to demonstrate the application of MIDAS in nuclear power plant risk-informed incident management. The insight obtained from the analysis results of case studies reveals that for nuclear power plant incident management, risk usually is not the most important concern. Cost and external attention are usually the dominant deciding factors in decision-making. However, in fact, the safety performance of each option is reflected in terms of the cost and external attention.&lt;/Abstract>
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