• 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