Discrete and Continuous Simulation Theory and Practice

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 simulation Introduces general probability theory Contains a chapter on Microsoft® Excel™ and MATLAB®/Simulink® Discusses various probability distributions required for simulation Describes 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.

Introduction to Simulation Introduction Types of Simulation Steps of Simulation Application Areas of Simulation Simulation of Queuing Systems Simulation of Inventory System Advantages and Disadvantages of Simulation Overview of the Remaining s Conclusion References Monte Carlo Simulation Introduction Examples Steps of Monte Carlo Simulation Random Number Generators Types of Monte Carlo Simulation Crude Monte Carlo Acceptance–Rejection Monte Carlo Stratified Sampling Importance Sampling Variance Reduction Techniques Common Random Numbers Antithetic Variates Control Variates When to Use Monte Carlo Simulation Applications of Monte Carlo Simulation Advantages and Disadvantages of Monte Carlo Simulation Conclusion References Introduction to Probability Theory Introduction Definitions Related to Probability Theory Brief Introduction to Set Theory Counting Techniques Definition of Probability Numerical Examples on Classical Approach to Probability Laws of Probability Conclusion References Probability Distributions Introduction Introduction to Random Variables Discrete and Continuous Probability Distributions Various Discrete Probability Distributions Various Continuous Probability Distributions Conclusion Reference Introduction to Random Number Generators Introduction Characteristics of a Random Number Generator Types of Random Number Generators Tests for Random Number Generators Conclusion Reference Random Variate Generation Introduction Various Methods of Random Variate Generation Conclusion Steady-State Behavior of Stochastic Processes Introduction Definition of Stochastic Process Steady-State Conditions in Various Fields Various Stochastic Processes Conclusion References Statistical Analysis of Steady-State Parameters Introduction Terminating and Steady-State Simulation Conclusion Reference Computer Simulation Introduction Computer Simulation from Various Aspects Simulation of Computer Systems Computer Simulation for Various Fields of Study Game Simulation Conclusion Reference Manufacturing Simulation Introduction Scheduling Aspects of Manufacturing for Simulation Study Selection of Simulation Software List of Simulation Software Conclusion References Manufacturing and Supply Chain Simulation Packages Introduction Introduction to C Language Introduction to C++ Language Introduction to AweSim Simulation Software Introduction to Beer Distribution Game Simulation Conclusion References Supply Chain Simulation Introduction Areas of Supply Chain Simulation Types of Supply Chain Simulation Types of Supply Chain Simulation Software Conclusion References Simulation in Various Disciplines Introduction Simulation in Electronics Engineering Simulation in Chemical Engineering Simulation in Aerospace Engineering Simulation in Civil Engineering Simulation in Other Disciplines Some Selected Simulation Packages Conclusion References Simulation of Complex Systems Introduction Advantages and Disadvantages of Simple Systems Effective Tools to Simulate and Analyze Complex Systems Conclusion References Simulation with Cellular Automata Introduction Cellular Automata Simulation with Cellular Automata Applications of Cellular Automata Software for Cellular Automata Conclusion References Agent-Based Simulation Background Characteristics of the Agents Types of Agents Phases of General Agent-Based Simulation Design of Agents Multiagent-Based Simulation in Manufacturing Some Multiagent Models Applications of Agent-Based Simulation Conclusion References Continuous System Simulation Introduction Approaches to Continuous System Simulation Integration Methods Validation Schemes Application Areas of Continuous System Simulation Evolution of CSSLs Features of CSSLs Types of CSSLs Introduction to Some CSSLs Conclusion References Introduction to Simulation Optimization Introduction Aspects of Optimization for Simulation Major Issues and Advantages of Simulation Optimization Commercial Packages for Simulation Optimization Application Areas of Simulation Optimization Conclusion References Algorithms for Simulation Optimization Introduction Major Techniques Some Other Techniques Conclusion References Simulation with System Dynamics Introduction Important Concepts Related to System Dynamics Steps of Modeling with System Dynamics System Dynamics Tools System Dynamics Software Conclusion References Simulation Software Introduction Types of Studies on Simulation Software Various Methods of Selecting Simulation Software Software Evaluation Conclusion References Future Trends of Simulation Introduction NET Technologies Cloud Virtualization Conclusion References Index