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  <doc>
    <id>7739</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>35</pageFirst>
    <pageLast>43 S</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>News &amp; Media</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>Ostbayerischen Technischen Hochschule Regensburg</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-09-26</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Stochastic Modeling of Throughput Times of Supplier Parts for an Automotive Plant</title>
    <abstract language="eng">For modern production industries optimized supply of parts is a critical success factor. Especially in the automotive industry, the reliable supply of painted bodies for the fi nal assembly is essential for OEMs considering just in time or just in sequence processes. Additionally one central cost target is the avoidance of resorting for JIT/JIS processes. An essential workfl ow analysis &#13;
is therefore the basis for making strategic or operational decisions such as the adjustment of the plant structure or increasing the number of products and variants manufactured simultaneously.&#13;
In order to support strategic planning using simulation and planning systems, the modeling of the production process is required. This is particularly important for scheduling as no real manufacturing data is available and therefore prognosis based on the model are essential. Due to the short time and the limited human resources for a detailed modeling, it is essential to create a robust model with good accuracy and reduced complexity</abstract>
    <parentTitle language="deu">Angewandte Forschung in der Wirtschaftsinformatik - Prozesse, Technologie, Anwendungen, Systeme und Management 2014: Tagungsband zur 27. AKWI-Jahrestagung vom 07. bis zum 10.09.2014 an der Oberbayerischen Technischen Hochschule Regensburg</parentTitle>
    <identifier type="isbn">978-3-936527-38-4</identifier>
    <identifier type="doi">10.15771/978-3-936527-38-4</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Stefan Müller</author>
    <author>Christian Danner</author>
    <author>Jörg Breidbach</author>
    <author>Markus Seidl</author>
    <author>Thomas Hußlein</author>
    <author>Wolfgang Lauf</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
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