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  • 标题:A mathematical programming approach for optimizing on-specs production for industrial processes under input uncertainty
  • 本地全文:下载
  • 作者:Pavlos Eirinakis ; Gregory Koronakos
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:2822-2827
  • DOI:10.1016/j.ifacol.2022.10.158
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Starting from a critical problem in oil refineries, namely on-specs LPG production, we propose a generic mathematical programming approach that incorporates flow and blending constraints for process industries in which impurities must adhere to certain specifications. Moreover, we extend our approach to accommodate the uncertainty that may arise from the level of impurities in the input feed.
  • 关键词:LPG production;quality specifications;on-specs recovery;Mixed Integer Linear Programming;Chance Constrained Programming;process flow network;blending
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