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DC Field | Value | Language |
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dc.contributor.author | Anagnostou, A | - |
dc.contributor.author | Taylor, SJE | - |
dc.date.accessioned | 2016-11-21T16:02:15Z | - |
dc.date.available | 2017-01 | - |
dc.date.available | 2016-11-21T16:02:15Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Simulation Modelling Practice and Theory, 70: pp. 101 - 119, (2017) | en_US |
dc.identifier.issn | 1569-190X | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/13528 | - |
dc.description.abstract | Distributed 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.sponsorship | This 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.extent | 101 - 119 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Distributed Simulation | en_US |
dc.subject | HLA | en_US |
dc.subject | DSEEP | en_US |
dc.subject | Hybrid Simulation | en_US |
dc.subject | Discrete Event Simulation | en_US |
dc.subject | Agent-Based Simulation | en_US |
dc.subject | Operations Research and Management | en_US |
dc.subject | Science | en_US |
dc.subject | Simulation methodology | en_US |
dc.title | A distributed simulation methodological framework for OR/MS applications | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.simpat.2016.10.007 | - |
dc.relation.isPartOf | Simulation Modelling Practice and Theory | - |
pubs.notes | publisher: 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-status | Accepted | - |
pubs.volume | 70 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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Fulltext.pdf | 1.88 MB | Adobe PDF | View/Open |
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