Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13528
Title: A distributed simulation methodological framework for OR/MS applications
Authors: Anagnostou, A
Taylor, SJE
Keywords: Distributed Simulation;HLA;DSEEP;Hybrid Simulation;Discrete Event Simulation;Agent-Based Simulation;Operations Research and Management;Science;Simulation methodology
Issue Date: 2017
Publisher: Elsevier
Citation: Simulation Modelling Practice and Theory, 70: pp. 101 - 119, (2017)
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.
URI: http://bura.brunel.ac.uk/handle/2438/13528
DOI: http://dx.doi.org/10.1016/j.simpat.2016.10.007
ISSN: 1569-190X
Appears in Collections:Dept of Computer Science Research Papers

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