Discrete-Event Modeling and Simulation

Theory and Applications

By Gabriel A. Wainer

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About the Book

Discrete event models are increasingly finding use in domains ranging from manufacturing to systems biology. Yet, lacking for defined and recognized direction, discrete event simulation is still performed in an ad hoc manner that does not guarantee the best methods let alone the best results.

This book brings together contributions from world-class scientists: both those practical researchers who are involved with discrete event simulations as the best means to their desired end and those more theoretical researchers who are particularly interested in advancing the state of the means.

Remarkable in its scope, this book then allows students and practitioners to exploit a formal framework matured over more than four decades. With its advantages obvious, discrete event simulation has the potential to become a unifying framework for handling differential equations models, difference equation models, and state machines. Toward that end this book has the potential of bringing together formerly scattered approaches to hone in on the most effective and likely to become the most accepted model-based design approaches.

Table of Contents

Preface. Continuous systems modeling. Continuous systems/parallel simulation. Traffic modeling. Metamodeling. TBD. Applications in manufacturing. V-Lab. TBD. Fire spreading modeling. Continuous Systems. Environmental Modeling. Robotics and embedded systems. Real-Time and Parallel simulations. System-on-chip design. Biomedical systems. Agent-based models in biology.