Modeling and simulation grand challenges: An OR/MS perspective

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.

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