Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/10520
Full metadata record
DC FieldValueLanguage
dc.rights.licenserestrictedAccess-
dc.contributor.authorRanković, Vladimir-
dc.contributor.authorArsovski, Zora-
dc.contributor.authorArsovski, Slavko-
dc.contributor.authorKalinić, Zoran-
dc.contributor.authorMilanovic I.-
dc.contributor.authorRejman Petrović, Dragana-
dc.date.accessioned2021-04-20T15:58:09Z-
dc.date.available2021-04-20T15:58:09Z-
dc.date.issued2012-
dc.identifier.issn1865-0929-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/10520-
dc.description.abstractSupplier selection is one of the most critical activities of purchasing management. Nowadays, supplier selection includes a number of different and usually conflicting objectives. Because of that, modern supplier selection techniques imply solving of multiobjective optimization problems. In this paper supplier selection using evolutionary algorithm (SPEA method) is presented. As criteria for selection optimization we used variance of quality and total costs. Results show that described methodology can be applicable for the practical purposes. © 2012 Springer-Verlag.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceCommunications in Computer and Information Science-
dc.titleSupplier selection using multiobjective evolutionary algorithm-
dc.typeconferenceObject-
dc.identifier.doi10.1007/978-3-642-31800-9_33-
dc.identifier.scopus2-s2.0-84865460548-
Appears in Collections:Faculty of Economics, Kragujevac

Page views(s)

502

Downloads(s)

14

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.