<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>258</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>225</pageFirst>
    <pageLast>232</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue>48(3)</issue>
    <volume/>
    <type>preprint</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2019-03-12</completedDate>
    <publishedDate>2019-03-14</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Decomposition Heuristic for Mixed-Integer Supply Chain Problems</title>
    <abstract language="eng">Mixed-integer supply chain models typically are very large but are also very sparse and can be decomposed into loosely coupled blocks. In this paper, we use general-purpose techniques to obtain a block decomposition of supply chain instances and apply a tailored penalty alternating direction method, which exploits the structural properties of the decomposed instances. We further describe problem-specific enhancements of the algorithm and present numerical results on real-world instances that illustrate the applicability of the approach.</abstract>
    <parentTitle language="deu">Operations Research Letters</parentTitle>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Lars Schewe</author>
    <author>Martin Schmidt</author>
    <author>Dieter Weninger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Supply chain</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mixed-integer optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Decomposition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Penalty method</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Alternating direction methods</value>
    </subject>
    <collection role="institutes" number="">Friedrich-Alexander-Universität Erlangen-Nürnberg</collection>
    <collection role="subprojects" number="">A05</collection>
    <collection role="subprojects" number="">B07</collection>
    <collection role="institutes" number="">Universität Trier</collection>
    <file>https://opus4.kobv.de/opus4-trr154/files/258/padm-snp_preprint.pdf</file>
  </doc>
</export-example>
