Simulation And Modeling With Virtusim
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Simulation and Modeling with VirtuSim
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-09
In the ever-changing landscape of modern industries, decision-makers face the challenge of navigating complex systems and making informed choices. Simulation and Modeling with VirtuSim offers a comprehensive guide to unlocking the power of simulation, empowering professionals to tackle real-world challenges and optimize system performance. Written by experts in the field of simulation, this book takes you on a journey into the art and science of modeling and analyzing complex systems. With a focus on VirtuSim, a user-friendly and versatile simulation software, you'll gain hands-on experience in building and running simulation models to explore system behavior and uncover actionable insights. Simulation and Modeling with VirtuSim covers a wide range of topics, including: * The foundations of simulation, including types of simulation models, data collection techniques, and model verification and validation * Step-by-step instructions for building simulation models using VirtuSim, from creating conceptual models to conducting simulation experiments * Advanced simulation techniques, such as agent-based simulation, discrete-event simulation, and continuous simulation * Statistical analysis of simulation results, sensitivity analysis, and optimization techniques * Applications of simulation in various industries, including manufacturing, supply chain management, healthcare, transportation, and financial services Through engaging case studies and real-world examples, this book brings simulation to life, showcasing its practical applications in solving complex problems and driving better decision-making. Whether you're a seasoned professional looking to expand your simulation skills or a newcomer to the field, Simulation and Modeling with VirtuSim provides the knowledge and tools you need to unlock the full potential of simulation. Master the art of simulation with VirtuSim and transform your approach to system analysis and decision-making. Embark on a journey of discovery and gain the confidence to tackle even the most intricate challenges with simulation as your guide. If you like this book, write a review!
Simulation and Modeling: Current Technologies and Applications
"This book offers insight into the computer science aspect of simulation and modeling while integrating the business practices of SM. It includes current issues related to simulation, such as: Web-based simulation, virtual reality, augmented reality, and artificial intelligence, combining different methods, views, theories, and applications of simulations in one volume"--Provided by publisher.
Modern Simulation and Modeling
Author: Reuven Y. Rubinstein
language: en
Publisher: Wiley-Interscience
Release Date: 1998-03-09
A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more. Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling: * Emphasizes concepts rather than mathematical completeness * Integrates references and explanations of complex topics into the body of the text * Provides an innovative chapter on rare-event probability estimation * Describes the implementation of the score function (SF) method using the NSO simulation package * Features 40 illustrations and numerous algorithms * Offers extensive, end-of-chapter exercise sets * Includes chapter bibliographies for further reading Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science.