<?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>2026-04-13T03:06:58Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/78945" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/78945</identifier><datestamp>2026-01-13T05:31:26Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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   <datafield ind2=" " ind1=" " tag="042">
      <subfield code="a">dc</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Freixas Bosch, Josep</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Pons Vallès, Montserrat</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2008-03</subfield>
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      <subfield code="a">The first step in a reliability optimization process is to&#xd;
make a reliability assessment for each component in the system. If&#xd;
this assessment is made in a qualitative way, by grouping together&#xd;
components with the same reliability, and establishing a prevalence&#xd;
order among groups, is there a way to decide which components&#xd;
have the greatest Birnbaum measure without computing the exact&#xd;
value of this measure? In this paper, three relations between com-&#xd;
ponents are introduced and studied, and it is proved that they are&#xd;
useful for selecting the components that have the biggest effect on&#xd;
the system reliability in the sense of Birnbaum. An algorithm that&#xd;
uses the results in the paper to select these important components&#xd;
is also provided.</subfield>
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      <subfield code="a">Peer Reviewed</subfield>
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      <subfield code="a">Postprint (published version)</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Àrees temàtiques de la UPC::Matemàtiques i estadística</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Reliability (Engineering)</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Birnbaum’s measure of reliability importance</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">important components</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">pre-ordering relation</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Fiabilitat (Enginyeria)</subfield>
   </datafield>
   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Identifying optimal components in a reliability system</subfield>
   </datafield>
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