DocumentCode
3029913
Title
Modeling and simulation grand challenges: An OR/MS perspective
Author
Taylor, Simon J. E. ; Chick, Stephen E. ; Macal, Charles M. ; Brailsford, Sally ; L´Ecuyer, Pierre ; Nelson, Barry L.
Author_Institution
Dept. of IS & Comput., ICT Innovation Group, Brunel Univ., Uxbridge, UK
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
1269
Lastpage
1282
Abstract
Grand challenges are significant themes that can bring together researchers to bring significant change to a field. In 2012 a new initiative to restart the debate on major grand challenges for modeling and simulation (M&S) began. Leading researchers have presented M&S Grand Challenges in areas such as ubiquitous simulation, high performance computing, spatial simulation, big simulation, human behaviour, multidomain design, systems engineering, cyber systems, network simulation and education. To contribute further to this initiative, this paper presents M&S Grand Challenges from an Operational Research/Management Science (OR/MS) perspective and discusses themes including simulation in healthcare, value of information, data modeling, stochastic modeling and optimization, agent-based simulation and simulation analytics.
Keywords
health care; management science; modelling; multi-agent systems; operations research; simulation; stochastic programming; OR/MS perspective; agent-based simulation; data modeling; healthcare; modeling and simulation grand challenges; operational research/management science perspective; simulation analytics; stochastic modeling; stochastic optimization; Adaptation models; Computational modeling; Data models; Hospitals; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2013 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-2077-8
Type
conf
DOI
10.1109/WSC.2013.6721514
Filename
6721514
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