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dc.contributor.authorKhanna, Sankalp
dc.contributor.authorCleaver, Timothy
dc.contributor.authorSattar, Abdul
dc.contributor.authorHansen, David
dc.contributor.authorStantic, Bela
dc.contributor.editorDesai, N
dc.contributor.editorLiu, A
dc.contributor.editorWinikoff, M
dc.date.accessioned2017-05-03T11:26:38Z
dc.date.available2017-05-03T11:26:38Z
dc.date.issued2012
dc.date.modified2012-09-20T22:26:22Z
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-642-25920-3_6
dc.identifier.urihttp://hdl.handle.net/10072/46917
dc.description.abstractScheduling of patients, staff, and resources for elective surgery in an under-resourced and overburdened public health system represents an inherently distributed class of problems. The complexity and dynamics of interacting factors demand a flexible, reactive and timely solution, in order to achieve a high level of utilization. In this paper, we present an Automated Scheduler for Elective Surgery (ASES) wherein we model the problem using the multiagent systems paradigm. ASES is designed to reflect and complement the existing manual methods of elective surgery scheduling, while offering efficient mechanisms for negotiation and optimization. Inter-agent negotiation in ASES is powered by a distributed constraint optimization algorithm. This strategy provides hospital departments with control over their individual schedules while ensuring conflict free optimal scheduling. We evaluate ASES to demonstrate the feasibility of our approach and demonstrate the effect of fluctuation in staffing levels on theatre utilization. We also discuss ongoing development of the system, mapping key challenges in the journey towards deployment.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer-Verlag
dc.publisher.placeGermany
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom74
dc.relation.ispartofpageto89
dc.relation.ispartofjournalLecture Notes In Computer Science
dc.relation.ispartofvolume7057
dc.rights.retentionY
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode460299
dc.subject.fieldofresearchcode46
dc.titleMultiagent Based Scheduling of Elective Surgery
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2012
gro.hasfulltextNo Full Text
gro.griffith.authorStantic, Bela
gro.griffith.authorSattar, Abdul


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    Contains articles published by Griffith authors in scholarly journals.

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