An integrated approach to machine selection and operation allocation problem

dc.contributor.author	Guldogan, E.U.
dc.date.accessioned	2021-01-25T20:51:19Z
dc.date.available	2021-01-25T20:51:19Z
dc.date.issued	2011
dc.identifier	10.1007/s00170-010-3063-y
dc.identifier.issn	02683768
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79958854163&doi=10.1007%2fs00170-010-3063-y&partnerID=40&md5=7318af1b3b9c18a47cbdc0becf079c55
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10624
dc.description.abstract	Machine selection and operation allocation is a multi-criteria decision-making problem which involves the consideration of both qualitative and quantitative factors. Thus, a hybrid model integrating the knowledge-based expert system and the genetic algori
dc.language.iso	English
dc.publisher	International Journal of Advanced Manufacturing Technology
dc.title	An integrated approach to machine selection and operation allocation problem
dc.type	Article
dc.relation.firstpage	797
dc.relation.lastpage	805
dc.relation.volume	55
dc.relation.issue	5-8
dc.description.affiliations	Department of Industrial Engineering, Yasar University, University Street, No: 35-37, Bornova-Izmir 35100, Turkey

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