Benjamin Melamed – författare
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2 produkter
2 produkter
E-bok
PDF, Engelska, 20101 082 kr
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Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings.- Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems- Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems- Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
Del 325 - Wiley Series in Probability and Statistics
Modern Simulation and Modeling
Inbunden, Engelska, 1998
2 328 kr
Skickas inom 5-8 vardagar
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.