Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/30445
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dc.contributor.authorDrakaki, M.-
dc.contributor.authorGören, Hacer Gören-
dc.contributor.authorTzionas, P.-
dc.date.accessioned2020-06-08T12:13:22Z-
dc.date.available2020-06-08T12:13:22Z-
dc.date.issued2019-
dc.identifier.isbn9789897583742-
dc.identifier.urihttps://hdl.handle.net/11499/30445-
dc.description.abstractSupply chain decisions should aim for sustainability, in order to meet the global market needs, as well as the Industry 4.0 requirements, therefore they should consider beyond economic and environmental, societal dimensions as well. The complexity in decision making increases, moreover, supply network relationships become important, including inter-relationships and those developed with the suppliers. Agent technology is compatible with Industry 4.0, whereas multi-agent systems (MAS) can provide decision support for supply chain management and model the relatationships and interactions between entities in the supply chain environment. Therefore, in this paper, a MAS-based framework is proposed to address sustainability focused decision making in supplier selection, order allocation and routing. Fuzzy Multi Criteria Decision Making (MCDM) approaches and multi-objective programming are used by the agents in the MAS in order to adress sustainability requirements. Futrhermore, developed agent services for the supply chain business processes are integrated with web services, in order to facilitate business process execution as web services. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.en_US
dc.language.isoenen_US
dc.publisherSciTePressen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMulti-Agent Systemen_US
dc.subjectOrder Allocationen_US
dc.subjectSupplier Selectionen_US
dc.subjectSustainabilityen_US
dc.subjectVehicle Routingen_US
dc.subjectWeb Servicesen_US
dc.subjectDecision makingen_US
dc.subjectDecision support systemsen_US
dc.subjectIndustry 4.0en_US
dc.subjectIntelligent agentsen_US
dc.subjectIntelligent systemsen_US
dc.subjectIntelligent vehicle highway systemsen_US
dc.subjectInternational tradeen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectSupply chain managementen_US
dc.subjectSustainable developmenten_US
dc.subjectTraffic controlen_US
dc.subjectVehicle routingen_US
dc.subjectVehiclesen_US
dc.subjectWeb servicesen_US
dc.subjectWebsitesen_US
dc.subjectBusiness process executionen_US
dc.subjectDecision frameworken_US
dc.subjectFuzzy multi-criteria decision makingsen_US
dc.subjectInter-relationshipsen_US
dc.subjectMultiobjective programmingen_US
dc.subjectOrder allocationen_US
dc.subjectSupplier selectionen_US
dc.subjectSustainable supplier selectionsen_US
dc.subjectMulti agent systemsen_US
dc.titleA multi-agent based decision framework for sustainable supplier selection, order allocation and routing problemen_US
dc.typeConference Objecten_US
dc.identifier.startpage621-
dc.identifier.startpage621en_US
dc.identifier.endpage628en_US
dc.authorid0000-0003-0297-7571-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85067547205en_US
dc.identifier.wosWOS:000570379100070en_US
dc.ownerPamukkale University-
item.grantfulltextopen-
item.openairetypeConference Object-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept10.09. Industrial Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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