When it comes to discovering glitches inherent in complex systems-be it a railway or banking, chemical production, medical, manufacturing, or inventory control system-developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the original. Advantageous to both academic and industrial practitioners, Discrete and Continuous Simulation: Theory and Practice offers a detailed view of simulation that is useful in several fields of study.
This text concentrates on the simulation of complex systems, covering the basics in detail and exploring the diverse aspects, including continuous event simulation and optimization with simulation. It explores the connections between discrete and continuous simulation, and applies a specific focus to simulation in the supply chain and manufacturing field. It discusses the Monte Carlo simulation, which is the basic and traditional form of simulation. It addresses future trends and technologies for simulation, with particular emphasis given to .NET technologies and cloud computing, and proposes various simulation optimization algorithms from existing literature.Includes chapters on input modeling and hybrid simulationIntroduces general probability theoryContains a chapter on Microsoft ® Excel ™ and MATLAB ®/Simulink ®Discusses various probability distributions required for simulationDescribes essential random number generators
Discrete and Continuous Simulation: Theory and Practice defines the simulation of complex systems. This text benefits academic researchers in industrial/manufacturing/systems engineering, computer sciences, operations research, and researchers in transportation, operations management, healthcare systems, and human-machine systems.
Publisher: Taylor & Francis Ltd
Number of pages: 375
Weight: 699 g
Dimensions: 235 x 156 mm
"...presents topics of practical importance for both using and building simulation models, and introduces these in a way that emphasizes how each new concept is applied in practice. The book also offers a unique overview of how broadly simulation is applied in industry and for research..."
--James Nutaro, Oak Ridge National Laboratory, Tennessee, USA
"The book provides a comprehensive, elaborate, extensive account of computer simulation, of discrete and continuous simulation with basic probability theory, stochastic processes with application to manufacturing, supply chains, cellular automata and agent-based simulation, and systems simulation and optimization.The also book provides a detailed description of simulation software and languages with application to cloud computing, discussion of NET technologies and many software tools. The authors mention several disciples in engineering. There are many figures and tables to explain the process of simulation."
-Nirode C. Mohanty, Zentralblatt MATH (zbMATH), Germany