1 Ocak 2012 Dergi makalesi Açık Erişim

Goren, Hacer Guner; Tunali, Semra; Jans, Raf

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/86069</identifier>
  <creators>
    <creator>
      <creatorName>Goren, Hacer Guner</creatorName>
      <givenName>Hacer Guner</givenName>
      <familyName>Goren</familyName>
      <affiliation>Dokuz Eylul Univ, Dept Ind Engn, Buca Izmir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Tunali, Semra</creatorName>
      <givenName>Semra</givenName>
      <familyName>Tunali</familyName>
      <affiliation>Izmir Univ Econ, Dept Business Adm, Izmir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Jans, Raf</creatorName>
      <givenName>Raf</givenName>
      <familyName>Jans</familyName>
    </creator>
  </creators>
  <titles>
    <title>A Hybrid Approach For The Capacitated Lot Sizing Problem With Setup Carryover</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2012</publicationYear>
  <dates>
    <date dateType="Issued">2012-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/86069</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1080/00207543.2011.559486</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">The capacitated lot sizing problem with setup carryover deals with the issue of planning multiple products on a single machine. A setup can be carried over from one period to the next by incorporating the partial sequencing of the first and last product. This study proposes a novel hybrid approach by combining Genetic Algorithms (GAs) and a Fix-and-Optimise heuristic to solve the capacitated lot sizing problem with setup carryover. Besides this, a new initialisation scheme is suggested to reduce the solution space and to ensure a feasible solution. A comparative experimental study is carried out using some benchmark problem instances. The results indicate that the performance of the pure GAs improves when hybridised with the Fix-and-Optimise heuristic. Moreover, in terms of solution quality, promising results are obtained when compared with the recent results in the literature.</description>
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