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Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA Author Tayfur Altiok
ISBN-10 0080548954
Release 2010-07-26
Pages 456
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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 * Ample end-of-chapter problems and full Solutions Manual * Includes CD with sample ARENA modeling programs

Simulation Modeling and Arena

Simulation Modeling and Arena Author Manuel D. Rossetti
ISBN-10 9781118607916
Release 2015-06-22
Pages 744
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Traditionally, there have been two primary types of simulation textbooks: those that emphasize the theoretical (and mostly statistical) aspects of simulation, and those that emphasize the simulation language or package.Simulation Modeling and Arena, Second Edition blends these two aspects of simulation textbooks together while adding and emphasizing the art of model building. This book features coverage of statistical analysis, which is integrated with the modeling to emphasize the importance of both topics. The Second Edition features new topical coverage, including static simulation and spreadsheet simulation; how simulation works and why it matters; and expanded use of Arena, specifically the use of strings in models, the Atribute module, the OnChange block, visual dashboards, and an introduction to 3-D animation concepts. In addition, a running example is presented throghout each chapter to prepare readers to perform a realistic case study based on the IIE/RA contest problem. The new edition also contains expanded topical coverage on: simulation clock within discrete event modeling simulation; statistical modeling concepts with the theoretical basis and equationsneeded to perform the analysis by hand; increased use of Arena Run Controller, modeling non-stationary arrival processes; and the Wait-Signal constructs.

Simulation with Arena

Simulation with Arena Author David W. Kelton
ISBN-10 9780073545769
Release 2014-01-31
Pages 656
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Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities.

Simulation Modeling Handbook

Simulation Modeling Handbook Author Christopher A. Chung
ISBN-10 0203496469
Release 2003-07-15
Pages 608
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The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support material, including checklists, data-collection forms, and sample simulation project reports and publications to facilitate practitioners' efforts in conducting simulation modeling and analysis projects. Simulation Modeling Handbook: A Practical Approach has two major advantages over other treatments. First, it is independent of any particular simulation software, allowing readers to use any commercial package or programming language. Second, it was written to insulate practitioners from unnecessary simulation theory that does not focus on their average, practical needs. As the popularity of simulation studies continues to grow, the planning and execution of these projects, more and more engineering and management professionals will be called upon to perform these tasks. With its simple, no-nonsense approach and focus on application rather than theory, this comprehensive and easy-to-understand guide is the ideal vehicle for acquiring the background and skills needed to undertake effective simulation projects. Features Presents step-by-step procedures for conducting successful simulation modeling and analysis Addresses every phase of performing simulations, from formulating the problem to presenting study results and recommendations Uses approaches applicable regardless of the specific simulation or software used Includes a summary of the major simulation software packages and discusses the pros and cons of using general purpose programming languages

Simulation Modeling and Analysis

Simulation Modeling and Analysis Author Averill Law
ISBN-10 9780077595968
Release 2014-01-24
Pages 804
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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print.

Discrete Event Simulation

Discrete Event Simulation Author George Fishman
ISBN-10 9781475735529
Release 2013-03-09
Pages 537
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"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. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002

Modeling and Simulation of Discrete Event Systems

Modeling and Simulation of Discrete Event Systems Author Byoung Kyu Choi
ISBN-10 9781118732854
Release 2013-08-07
Pages 432
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Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms – activity-based, process-oriented, state-based, and event-based – are covered in a unified manner: A well-defined procedure for building a formal model in the form of event graph, ACD, or state graph Diverse types of modeling templates and examples that can be used as building blocks for a complex, real-life model A systematic, easy-to-follow procedure combined with sample C# codes for developing simulators in various modeling formalisms Simple tutorials as well as sample model files for using popular off-the-shelf simulators such as SIGMA®, ACE®, and Arena® Up-to-date research results as well as research issues and directions in DES-M&S Modeling and Simulation of Discrete-Event Systems is an ideal textbook for undergraduate and graduate students of simulation/industrial engineering and computer science, as well as for simulation practitioners and researchers.

Arena Simulation Modeling and Operational Analysis of Signalized Intersections

Arena Simulation Modeling and Operational Analysis of Signalized Intersections Author Nagendranath Pagadala
ISBN-10 OCLC:52187027
Release 2001
Pages 248
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Arena Simulation Modeling and Operational Analysis of Signalized Intersections has been writing in one form or another for most of life. You can find so many inspiration from Arena Simulation Modeling and Operational Analysis of Signalized Intersections also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Arena Simulation Modeling and Operational Analysis of Signalized Intersections book for free.

Simulation Modelling for Business

Simulation Modelling for Business Author Andrew Greasley
ISBN-10 9781351899987
Release 2017-03-02
Pages 236
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Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.

Simulation Modeling and Analysis of Productivity Enhancement in Manufacturing Company Using Arena Software

Simulation Modeling and Analysis of Productivity Enhancement in Manufacturing Company Using Arena Software Author Siti Hartini Embong @ Ab Wahab
ISBN-10 OCLC:953546288
Release 2013
Pages 103
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Every manufacturing company wants to improve and adapt their operating system in order to survive the industry competition. In manufacturing organizations, to improve their system it might mean to reduce the operating costs that come from the wastes in production line. By using the ARENA simulation in this study, the productivity improvement can be experimented without physically affect the real system and reduced the cost because designing, building, testing, redesigning, rebuilding and retesting can be an expensive project. This study focus on the flow in the production line processes in one piston manufacturing company. The existing plant layout was studied and formulated into ARENA simulation software as well as to enhance the productivity rate by improving certain parameters. The problems identified in this production line are the effect of the bottleneck process which resulting some idle time in some workstations and the increased piston demands from the customers. The data acquired and was translated into the ARENA simulation software and studied in order to simulate the existing plant layout design. Hence, the problems occurred in the production line can be seen clearly to determine room for productivity improvement. New designs are proposed by constructing several models to acquire the best solution to improve productivity capacity and meet the forecasting demand of customer. In these proposed models, the parameters of the actual system are modified accordingly in the terms of material handling such as human resources, machine cycle time, the number of machines, shape and area of plant layout. From the simulation results, the significant contribution factor that influenced the rate of productivity was by adding certain machines to do the same process to cover the buffer while the material handling did not have a huge effect on the production line.

Solutions manual to accompany simulation modeling and analysis

Solutions manual to accompany simulation modeling and analysis Author Averill M. Law
ISBN-10 0070366977
Release 1981
Pages 130
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Solutions manual to accompany simulation modeling and analysis has been writing in one form or another for most of life. You can find so many inspiration from Solutions manual to accompany simulation modeling and analysis also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Solutions manual to accompany simulation modeling and analysis book for free.

System Simulation and Modeling

System Simulation and Modeling Author Sankar Sengupta
ISBN-10 9789332514195
Pages 259
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Computer simulation models a real-life or hypothetical situation on a computer to study how the system works. System Simulation and Modelingdiscusses system modeling and simulation through examples and applications from computer systems, statistics, manufacturing and insurance. It discusses materials for building a simulation model, evaluating results and taking decisions based on results. Also, Arena and step-by-step approach to convert a problem statement into an Arena simulation model are discussed along with commercially-available software on simulation like GPSS, SIMSCRIPT and DYNAMO.

Introduction to Discrete Event Simulation and Agent based Modeling

Introduction to Discrete Event Simulation and Agent based Modeling Author Theodore T. Allen
ISBN-10 0857291394
Release 2011-01-12
Pages 215
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Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

Formal Languages for Computer Simulation Transdisciplinary Models and Applications

Formal Languages for Computer Simulation  Transdisciplinary Models and Applications Author Fonseca i Casas, Pau
ISBN-10 9781466643703
Release 2013-07-31
Pages 458
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Models and simulations are an important first step in developing computer applications to solve real-world problems. However, in order to be truly effective, computer programmers must use formal modeling languages to evaluate these simulations. Formal Languages for Computer Simulation: Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods of evaluating and formalizing simulation models, enabling computer and industrial engineers, mathematicians, and students working with computer simulations to thoroughly understand the progression from simulation to product, improving the overall effectiveness of modeling systems.

Simio and Simulation

Simio and Simulation Author Jeffrey S. Smith
ISBN-10 1542933110
Release 2017-05-04
Pages 462
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"This book opens up the world of simulation to you by providing the basics of general simulation techonology, identifying the skills needed for successful simulation projects, and introducting a state-of-the-art simulation package." --

Modeling and Simulation Fundamentals

Modeling and Simulation Fundamentals Author John A. Sokolowski
ISBN-10 0470590610
Release 2010-07-13
Pages 456
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An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.

Simulation Using ProModel

Simulation Using ProModel Author Charles Harrell
ISBN-10 9780077418380
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Simulation Using ProModel has been writing in one form or another for most of life. You can find so many inspiration from Simulation Using ProModel also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Simulation Using ProModel book for free.