Lagrangian heuristic for scheduling a steelmaking-continuous casting process

dc.contributor.author	Mao, K.
dc.contributor.author	Pan, Q.K.
dc.contributor.author	Tasgetiren, M.F.
dc.date.accessioned	2021-01-25T20:50:30Z
dc.date.available	2021-01-25T20:50:30Z
dc.date.issued	2013
dc.identifier	10.1109/SCIS.2013.6613254
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886707465&doi=10.1109%2fSCIS.2013.6613254&partnerID=40&md5=bd37d3b9a0669b346b12fb78ec82419a
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10475
dc.description.abstract	One of the biggest bottlenecks in iron and steel production is the steelmaking-continuous casting (SCC) process, which consists of steel-making, refining and continuous casting. The production scheduling of SCC is a complex hybrid flowshop (HFS) schedulin
dc.language.iso	English
dc.publisher	Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, CISched 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
dc.title	Lagrangian heuristic for scheduling a steelmaking-continuous casting process
dc.type	Conference Paper
dc.relation.firstpage	68
dc.relation.lastpage	74
dc.description.affiliations	State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China; Industrial Engineering Department, Yasar University, Izmir, Turkey

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