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  • 标题:A memetic algorithm for a stochastic lot-sizing and sequencing problem
  • 本地全文:下载
  • 作者:Kseniya Schemeleva ; Kseniya Schemeleva ; Xavier Delorme
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:3
  • 页码:1809-1814
  • DOI:10.1016/j.ifacol.2015.06.349
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract A stochastic multi-product lot-sizing and sequencing problem is considered. Two kinds of uncertainties are integrated into the model: defectives items due to the machines' imperfections and random lead time because of randomly arising breakdowns and uncertain repair time. There are also sequence-dependent set-up times between two items of different types. The optimization problem is to maximize the probability of overall demand satisfying. In the previous work only the lot-sizing part of the problem was considered (a decomposition approach was used). Here we study the entire problem with sequencing and lot-sizing decisions integrated.
  • 关键词:KeywordsLot-sizingsequencingimperfect productiongenetic algorithms
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