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  <doc>
    <id>3384</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>1643</pageFirst>
    <pageLast>1644</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>University of Hawai'i at Manoa Hamilton Library</publisherName>
    <publisherPlace>Honolulu, HI</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
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    <title language="deu">Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0</title>
    <abstract language="eng">The minitrack contains contributions with a focus on modeling and decision making in manufacturing and logistics in the context of Industry 4.0. &#13;
Cyber-physical systems integrate the real world and the virtual world. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions in terms of planning and controlling the manufacturing and logistics systems. In order to immediately respond to these dynamics, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Two of the Mintrack papers describe concepts and models for digital twins. One paper provides an adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems and one paper investigates matrix production systems and with their requirements and impacts on logistics planning.</abstract>
    <parentTitle language="deu">Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS): 2021 Hawaii, USA</parentTitle>
    <identifier type="isbn">978-0-9981331-4-0</identifier>
    <identifier type="doi">10.24251/HICSS.2021.198</identifier>
    <enrichment key="opus.import.date">2022-04-08T07:23:56+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Tobias Reggelin</author>
    <author>Stefan Galka</author>
    <author>Dmitry Ivanov</author>
    <author>Sebastian Lang</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
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