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A hybrid approach for the capacitated lot sizing problem with setup carryover

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


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        "affiliation": "Dokuz Eylul Univ, Dept Ind Engn, Buca Izmir, Turkey", 
        "name": "Goren, Hacer Guner"
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      {
        "affiliation": "Izmir Univ Econ, Dept Business Adm, Izmir, Turkey", 
        "name": "Tunali, Semra"
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        "name": "Jans, Raf"
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    "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.", 
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      "issue": "6", 
      "pages": "1582-1597", 
      "title": "INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH", 
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