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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29303
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dc.contributor.authorUd Din, Fareeden
dc.contributor.authorPaul, Daviden
dc.contributor.authorRyan, Joeen
dc.contributor.authorHenskens, Fransen
dc.contributor.authorWallis, Marken
local.source.editorEditor(s): G Jezic, J Chen-Burger, M Kusek, R Sperka, Robert J Howlett and Lakhmi C Jainen
dc.date.accessioned2020-08-26T04:44:48Z-
dc.date.available2020-08-26T04:44:48Z-
dc.date.issued2020-
dc.identifier.citationAgents and Multi-Agent Systems: Technologies and Applications 2020, p. 3-16en
dc.identifier.isbn9789811557644en
dc.identifier.isbn9789811557637en
dc.identifier.urihttps://hdl.handle.net/1959.11/29303-
dc.description.abstractRecent literature claims that Small to Medium Size Enterprises (SMEs), as compared to larger setups, may not be able to experience all the benefits of the fourth industrial revolution (Industry 4.0). In order to bridge this gap, the Agent Oriented Smart Factory (AOSF) framework provides a comprehensive supply chain architecture. AOSF framework does not only provide high-level enterprise integration guidelines but also recommends a thorough implementation in the area of warehousing by providing Agent Oriented Storage and Retrieval (AOSR) WMS system. This paper focuses on scenario-based comparison of the extended AOSF framework with a Linear SC model, to explain substantially improved performance efficiency especially in SME-oriented warehousing. These scenario-based experiments indicate that AOSR can yield 60-148% improvement in certain Key Performance Indicators (KPIs), i.e. number of products stored in racks, receiving area (RA) and expedition areas (EA), in comparison with standard WMS strategies.en
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofAgents and Multi-Agent Systems: Technologies and Applications 2020en
dc.relation.ispartofseriesSmart Innovation, Systems and Technologiesen
dc.relation.isversionof1en
dc.titleRevitalising and Validating the Novel Approach of xAOSF Framework Under Industry 4.0 in Comparison with Linear SCen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-981-15-5764-4_1en
local.contributor.firstnameFareeden
local.contributor.firstnameDaviden
local.contributor.firstnameJoeen
local.contributor.firstnameFransen
local.contributor.firstnameMarken
local.subject.for2008080501 Distributed and Grid Systemsen
local.subject.for2008080110 Simulation and Modellingen
local.subject.for2008080101 Adaptive Agents and Intelligent Roboticsen
local.subject.seo2008890205 Information Processing Services (incl. Data Entry and Capture)en
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailfuddin@une.edu.auen
local.profile.emaildpaul4@une.edu.auen
local.output.categoryB1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSingaporeen
local.identifier.totalchapters33en
local.format.startpage3en
local.format.endpage16en
local.identifier.scopusid85086068606en
local.series.issn2190-3026en
local.series.issn2190-3018en
local.series.number186en
local.peerreviewedYesen
local.contributor.lastnameUd Dinen
local.contributor.lastnamePaulen
local.contributor.lastnameRyanen
local.contributor.lastnameHenskensen
local.contributor.lastnameWallisen
local.seriespublisherSpringeren
local.seriespublisher.placeGermanyen
dc.identifier.staffune-id:fuddinen
dc.identifier.staffune-id:dpaul4en
local.profile.orcid0000-0001-6122-2043en
local.profile.orcid0000-0002-2428-5667en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/29303en
local.date.onlineversion2020-05-21-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRevitalising and Validating the Novel Approach of xAOSF Framework Under Industry 4.0 in Comparison with Linear SCen
local.output.categorydescriptionB1 Chapter in a Scholarly Booken
local.relation.urlhttps://doi.org/10.1007/978-981-15-5764-4en
local.search.authorUd Din, Fareeden
local.search.authorPaul, Daviden
local.search.authorRyan, Joeen
local.search.authorHenskens, Fransen
local.search.authorWallis, Marken
local.uneassociationYesen
local.atsiresearchNoen
local.isrevisionNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2020en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/10384844-17e2-4960-891b-5e7154b412b8en
local.subject.for2020460202 Autonomous agents and multiagent systemsen
local.subject.for2020460106 Spatial data and applicationsen
local.subject.seo2020220403 Artificial intelligenceen
local.subject.seo2020220402 Applied computingen
dc.notification.tokend442809f-f6ff-4351-9d75-9d9e14ffcae2en
local.codeupdate.date2021-11-01T10:59:57.289en
local.codeupdate.epersondpaul4@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for2020460601 Cloud computingen
local.original.for2020460604 Dependable systemsen
local.original.for2020460605 Distributed systems and algorithmsen
local.original.for2020460207 Modelling and simulationen
local.original.for2020undefineden
local.original.seo2020220499 Information systems, technologies and services not elsewhere classifieden
local.relation.worldcathttp://www.worldcat.org/oclc/1108827139en
local.relation.worldcathttp://www.worldcat.org/oclc/1156168880en
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School of Science and Technology
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