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Tuesday, May 5, 2020 | History

3 edition of Discrete event simulation languages. found in the catalog.

Discrete event simulation languages.

Ole-Johan Dahl

Discrete event simulation languages.

Lectures delivered at the NATO summer school, Villard-de-Lans, September 1966.

by Ole-Johan Dahl

  • 258 Want to read
  • 7 Currently reading

Published by Norwegian computing center in Oslo .
Written in English

    Subjects:
  • Programming languages (Electronic computers),
  • Digital computer simulation.

  • Classifications
    LC ClassificationsQA76 .D28
    The Physical Object
    Pagination63, [2] l.
    Number of Pages63
    ID Numbers
    Open LibraryOL4371413M
    LC Control Number78568770

    Introduction to Discrete Event Systems Second Edition by Christos G. Cassandras Boston University Stéphane Lafortune The University of MichiganFile Size: 7MB. Discrete Event Simulation is a process-oriented text/reference that utilizes an eleven-step model to represent the simulation process from problem formulation to implementation and documentation. The book presents the necessary level of detail required to fully develop a model that produces Price: $

    observed. This simulation-generated data is used to estimate the measures of performance of the system. This book provides an introductory treatment of the concepts and meth-ods of one form of simulation modelingŠdiscrete-event simulation modeling. The rst chapter initially discusses when to use simulation, its advantages andFile Size: KB. With over hands-on, step-by-step examples with different levels of complexity, it is the only book to comprehensively present the three major paradigms in simulation modeling: agent-based, system dynamics, and discrete-event. The book is based on the modeling languages supported by AnyLogic, the software tool that enables a modeler to.

    discrete event systems occur at arbitrarily spaced moments, while those in continuous systems are piecewise continuous functions of time. The insight provided by the DEVS formalism is in the simple way that it characterizes how discrete event simulation languages specify discrete event system Size: KB. Publisher Summary. The majority of modern computer simulation tools (simulators) implement a paradigm called discrete-event simulation (DES). This paradigm is so general and powerful that it provides an implementation framework for most simulation languages, regardless of the user worldview supported by them.


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Discrete event simulation languages by Ole-Johan Dahl Download PDF EPUB FB2

ISI Short Book Reviews, Vol. 22/2, August "This page book is Discrete event simulation languages. book a text to support the teaching of discrete-event simulation for post-graduates and final-year undergraduates.

The book is a reasonably full, theory based, introduction to the technique of discrete-event by: which can be called from ordinary languages such as C++, instead of inventing entire new languages.1 So, the central focus today is on the programming paradigms, not on language.

In this section we will present an overview of the three major discrete-event simulation Size: KB. book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book discrete-event simulation, whereas the latter was ad-dressed to.

In book: Discrete Event Simulations (pp) The authors believe that discrete event simulation continue to be one of the most effective decision support tools both in global manufacturing and.

ISI Short Book Reviews, Vol. 22/2, August "This page book is primarily a text to support the teaching of discrete-event simulation for post-graduates and final-year undergraduates. The book is a reasonably full, theory based, introduction to the technique of discrete-event : Springer-Verlag New York.

of discrete-event simulation and provide practice in utilizing concepts found in the text. Answers provided here are selective, in that not every problem in every chapter is solved.

Answers in some instances are suggestive rather than complete. These two caveats hold particularly in chapters where building of computer simulation models is required.

For Junior & Senior level simulation courses in engineering, business, or computer science. This text provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments/5.

Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering) - Kindle edition by Fishman, George.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in 5/5(1).

Discrete Event Simulation is a process-oriented text/reference that utilizes an eleven-step model to represent the simulation process from problem formulation to implementation and documentation.

The book presents the necessary level of detail required to fully develop a model that produces meaningful results and considers the tools necessary. Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science.

It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the 4/5(3).

This book provides a complete stand alone coverage with which someone conversant with computers could build and analyse the output from a discrete event simulation model.

The implementation of models concentrates on the use of general purpose procedure oriented languages,as opposed to special purpose simulation languages,and on the use of C in.

This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively.

Readily understandable to those having a basic familiarity with. Book Description. Basic approaches to discrete simulation have been process simulation languages (e.g., GPSS) and event-scheduling type (e.g., SIMSCRIPT). The trade-offs are that event-scheduling languages offer more modeling flexibility and process-oriented languages are more intuitive to the user.

Description For junior- and senior-level simulation courses in engineering, business, or computer science. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools.

This language-independent text explains the basic aspects of the technology, including the proper Format: On-line Supplement.

Get this from a library. Discrete-event simulation: modeling, programming, and analysis. [George S Fishman] -- This book describes the fundamentals of discrete-event simulation from the perspective of highly-interactive PC and workstation environments.

It focuses on modeling, programming, input-data. This book provides a very good introduction to discrete-event simulation. The authors start out by providing several simple examples in areas such as queueing and inventory systems, as well as reliability.

After the first few chapters the reader gets a sense of what simulation represents and why it /5(5). Simulation software is changing. Within the past several years, significant developments in simulation software have taken place: 1. New simulation languages have been developed.

New software packages have been developed for use in conjunction with simulation (for purposes other than building models, per se.) by: 3. "This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research.

There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough/5(2). The Big Book of Simulation Modeling, Multimethod Modeling with AnyLogic 8, to give it its full name, is the go-to-book for those learning simulation modeling and AnyLogic.

It is the only book to comprehensively present the three major paradigms in simulation modeling: agent-based, system dynamics, and : Ilya Grigoryev. @article{osti_, title = {Discrete event system simulation}, author = {Banks, J.

and Carson, J.S.}, abstractNote = {This book provides a basic treatment of one of the most widely used operations research tools: discrete-event simulation.

Prerequisites are calculus, probability theory, and elementary statistics. Contents, abridged: Introduction to discrete-event system simulation. Distributed Discrete-Event Simulation l 41 message sent by a (physical) process de- pend on the characteristics of the process (its initial state, its rules of operation) and the messages that the process has received so far.

We describe the problem and the termi- nology more precisely in the next section.This book describes computer simulation concepts then provides basic details about using discrete-event computer simulation for decision making. Input data collection and analysis, model construction, project mechanics, output analysis, verification, validation, reporting, logic transfer, and robust experimental design are all covered in detail/5(32).Fishman's book can be highly recommended for practitioners as well as for students and simulation specialists." (P.

Koechel, Operations Research-Spektrum, Is ) "This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research.