Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time

dc.contributor.author	Oztop, H.
dc.contributor.author	Tasgetiren, M.F.
dc.contributor.author	Tursel Eliiyi, D.
dc.contributor.author	Pan, Q.K.
dc.contributor.editor
dc.date.accessioned	2021-01-25T20:48:42Z
dc.date.available	2021-01-25T20:48:42Z
dc.date.issued	2018
dc.identifier	10.1007/978-3-319-95957-3_79
dc.identifier.issn	03029743
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051847462&doi=10.1007%2f978-3-319-95957-3_79&partnerID=40&md5=89d05618128ad9e45c4ea35b5fd879ea
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10020
dc.description.abstract	Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency and customer satisfaction, st
dc.language.iso	English
dc.publisher	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.title	Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
dc.type	Conference Paper
dc.relation.firstpage	753
dc.relation.lastpage	759
dc.relation.volume	10956 LNAI
dc.description.affiliations	Department of Industrial Engineering, Yasar University, Bornova, Turkey; Department of International Logistics Management, Yasar University, Bornova, Turkey; State Key Laboratory, Huazhong University of Science and Technology, Wuhan, China

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