1 Ocak 2012 Dergi makalesi Açık Erişim

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

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  "@context": "https://schema.org/", 
  "@id": 86069, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Dept Ind Engn, Buca Izmir, Turkey", 
      "name": "Goren, Hacer Guner"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Izmir Univ Econ, Dept Business Adm, Izmir, Turkey", 
      "name": "Tunali, Semra"
    }, 
    {
      "@type": "Person", 
      "name": "Jans, Raf"
    }
  ], 
  "datePublished": "2012-01-01", 
  "description": "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.", 
  "headline": "A hybrid approach for the capacitated lot sizing problem with setup carryover", 
  "identifier": 86069, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "A hybrid approach for the capacitated lot sizing problem with setup carryover", 
  "url": "https://aperta.ulakbim.gov.tr/record/86069"
}