<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>1560</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>20</pageFirst>
    <pageLast>25</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>104</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Retrieving properties of manufacturing systems from traceability data for performance evaluation and material flow simulation</title>
    <abstract language="eng">The operation of manufacturing systems is increasingly accompanied by data-driven continuous improvement processes and product traceability is required. Commonly, radio-frequency identification (RFID) technology is applied to track the flow of a uniquely-identifiable workpiece along various stations or waypoints within a factory. Based on an automotive use case, this paper describes how to analyze the resulting traceability data in order to identify several properties of a manufacturing system. The acquired knowledge can support performance evaluation and facilitate model building for material flow simulation as a foundation for digital twins and cyber-physical production systems.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="issn">2212-8271</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-15600</identifier>
    <enrichment key="opus.import.date">2021-12-14T13:19:06+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="opus.import.file">filename=phpiyKzcb</enrichment>
    <enrichment key="opus.import.checksum">231d784a17dae363095b7b6798e58d61</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1016/j.procir.2021.11.002</enrichment>
    <enrichment key="SourceTitle">Reinhardt, H., Münnich, M., Prell, B., Arnold, R., Krippner, F., Weber, M., … Putz, M. (2021). Retrieving properties of manufacturing systems from traceability data for performance evaluation and material flow simulation. Procedia CIRP, 104, 20–25. doi:10.1016/j.procir.2021.11.002</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Heiner Reinhardt</author>
    <author>Marc Münnich</author>
    <author>Bastian Prell</author>
    <author>Roman Arnold</author>
    <author>Fabian Krippner</author>
    <author>Marek Weber</author>
    <author>Frank Seifert</author>
    <author>Matthias Putz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>knowledge management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>algorithm</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>condition monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manufacturing system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>complexity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>man-machine system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pattern recognition</value>
    </subject>
    <collection role="ddc" number="670">Industrielle Fertigung</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="green_open_access" number="3">Diamond Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1560/1-s2.0-S2212827121009008-main.pdf</file>
  </doc>
  <doc>
    <id>2055</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>526</pageFirst>
    <pageLast>531</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>134</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Objective validation for short-term material flow simulation</title>
    <abstract language="eng">Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.</abstract>
    <parentTitle language="deu">Procedia CIRP</parentTitle>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-20554</identifier>
    <enrichment key="opus.import.date">2025-06-20T06:34:35+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1016/j.procir.2025.02.170</enrichment>
    <enrichment key="SourceTitle">Reinhardt, H., Bogdanow, B., Arnold, R., Prell, B., Klimant, P., Seifert, F., Mahdaviasl, M. and Ihlenfeldt, S. (2025). Objective validation for short-term material flow simulation. Procedia CIRP, 134, 526–531. doi:10.1016/j.procir.2025.02.170</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Heiner Reinhardt</author>
    <author>Boran Bogdanow</author>
    <author>Roman Arnold</author>
    <author>Bastian Prell</author>
    <author>Philipp Klimant</author>
    <author>Frank Seifert</author>
    <author>Mahtab Mahdaviasl</author>
    <author>Steffen Ihlenfeldt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>digital twin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>quality</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manufacturing system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>analysis</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="670">Industrielle Fertigung</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/2055/1-s2.0-S2212827125005384-main.pdf</file>
  </doc>
  <doc>
    <id>2057</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>562</pageFirst>
    <pageLast>566</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>134</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Subjective validation for short-term material flow simulation</title>
    <abstract language="eng">Material flow simulation, by means of discrete event simulation (DES), is frequently applied to support decision-making in production planning and control. However, manual modeling can be time-consuming and error-prone. Hence, numerous studies propose the automation of model generation and synchronization to overcome these challenges. However, in this context, validation techniques are rarely addressed. Therefore, we introduce a subjective validation technique for short-term material flow simulation based on a coherent methodology for data acquisition and visualization. The methodology is utilized to evaluate the outcome of an approach for computerized model generation and simulation. By means of an industrial use case, we hypothesize the causes for the deviation between the operation of a manufacturing system and the simulation of its generated virtual companion.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-20576</identifier>
    <enrichment key="opus.import.date">2025-06-23T07:35:25+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1016/j.procir.2025.02.169</enrichment>
    <enrichment key="SourceTitle">Reinhardt, H., Bogdanow, B., Arnold, R., Prell, B., Klimant, P., Seifert, F., Mahdaviasl, M. and Ihlenfeldt, S. (2025). Subjective validation for short-term material flow simulation. Procedia CIRP, 134, 562–566. doi:10.1016/j.procir.2025.02.169</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Heiner Reinhardt</author>
    <author>Boran Bogdanow</author>
    <author>Roman Arnold</author>
    <author>Bastian Prell</author>
    <author>Philipp Klimant</author>
    <author>Frank Seifert</author>
    <author>Mahtab Mahdaviasl</author>
    <author>Steffen Ihlenfeldt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>digital twin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>quality</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manufacturing system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>analysis</value>
    </subject>
    <collection role="ddc" number="003">Systeme</collection>
    <collection role="ddc" number="670">Industrielle Fertigung</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/2057/1-s2.0-S221282712500544X-main.pdf</file>
  </doc>
</export-example>
