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|Title:||A distributed simulation methodological framework for OR/MS applications|
|Keywords:||Distributed Simulation;HLA;DSEEP;Hybrid Simulation;Discrete Event Simulation;Agent-Based Simulation;Operations Research and Management;Science;Simulation methodology|
|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.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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