<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>2521</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>128</pageFirst>
    <pageLast>139</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-02-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Multi-agent System for Simulation of Response to Supply Chain Disruptions</title>
    <parentTitle language="eng">Intelligent Distributed Computing XIII. IDC 2019</parentTitle>
    <identifier type="doi">10.1007/978-3-030-32258-8_15</identifier>
    <identifier type="isbn">978-3-030-32258-8 (online)</identifier>
    <identifier type="isbn">978-3-030-32257-1 (print)</identifier>
    <enrichment key="Textseries">Studies in Computational Intelligence ; vol. 868</enrichment>
    <licence>Keine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht</licence>
    <author>Jing Tan</author>
    <author>Rongjun Xu</author>
    <author>Kai Chen</author>
    <author>Lars Braubach</author>
    <author>Kai Jander</author>
    <author>Alexander Pokahr</author>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Wirtschaft</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2623</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>12</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>33</volume>
    <type>article</type>
    <publisherName>IOS Press</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-08-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A novel multi-agent scheduling mechanism for adaptation of production plans in case of supply chain disruptions</title>
    <parentTitle language="eng">AI Communications</parentTitle>
    <identifier type="doi">10.3233/AIC-200646</identifier>
    <licence>Keine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht</licence>
    <author>Jing Tan</author>
    <author>Lars Braubach</author>
    <author>Kai Jander</author>
    <author>Rongjun Xu</author>
    <author>Kai Chen</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Supply chain management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multi-agent system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simulation</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="650">Management und unterstützende Tätigkeiten</collection>
    <collection role="institutes" number="">Fachbereich Wirtschaft</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
</export-example>
