Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/13528
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dc.contributor.authorAnagnostou, A-
dc.contributor.authorTaylor, SJE-
dc.date.accessioned2016-11-21T16:02:15Z-
dc.date.available2017-01-
dc.date.available2016-11-21T16:02:15Z-
dc.date.issued2017-
dc.identifier.citationSimulation Modelling Practice and Theory, 70: pp. 101 - 119, (2017)en_US
dc.identifier.issn1569-190X-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/13528-
dc.description.abstractDistributed Simulation (DS) allows existing models to be composed together to form sim- ulations of large-scale systems, or large models to be divided into models that execute on separate computers. Among its claimed benefits are model reuse, speedup, data pri- vacy and data consistency. DS is arguably widely used in the defence sector. However, it is rarely used in Operations Research and Management Science (OR/MS) applications in areas such as manufacturing and healthcare, despite its potential advantages. The main barriers to use DS in OR/MS are the technical complexity in implementation and a gap between the world views of DS and OR/MS communities. In this paper, we propose a new method that attempts to link together the methodological practices of OR/MS and DS. Using a rep- resentative case study, we show that our methodological framework simplifies significantly DS implementation.en_US
dc.description.sponsorshipThis research was funded by the Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH), an Innova- tive Manufacturing Research Centre (IMRC) funded by the Engineering and Physical Sciences Research Council (EPSRC) (Ref: EP/F063822/1 ).en_US
dc.format.extent101 - 119-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectDistributed Simulationen_US
dc.subjectHLAen_US
dc.subjectDSEEPen_US
dc.subjectHybrid Simulationen_US
dc.subjectDiscrete Event Simulationen_US
dc.subjectAgent-Based Simulationen_US
dc.subjectOperations Research and Managementen_US
dc.subjectScienceen_US
dc.subjectSimulation methodologyen_US
dc.titleA distributed simulation methodological framework for OR/MS applicationsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.simpat.2016.10.007-
dc.relation.isPartOfSimulation Modelling Practice and Theory-
pubs.notespublisher: Elsevier articletitle: A distributed simulation methodological framework for OR/MS applications journaltitle: Simulation Modelling Practice and Theory articlelink: http://dx.doi.org/10.1016/j.simpat.2016.10.007 content_type: article copyright: © 2016 The Authors. Published by Elsevier B.V.-
pubs.publication-statusAccepted-
pubs.volume70-
Appears in Collections:Dept of Computer Science Research Papers

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