Research Challenges in Modeling and Simulation for Engineering Complex Systems

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M& S) life cycle, and examines the challenges of M& S in different application areas. The authoritative work offers valuable perspectives on the future of research in M& S, and its role in engineering complex systems. Topics and features: reviews the challenges of M& S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M& S processes, and how these can beunified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M& S research community.