Simulation Modeling and Analysis

Simulation Modeling and Analysis

This senior/graduate-level text is the classic text in its field and established itself as the authoritative source on the theory & practice of simulation over 15 years ago.

Author: Averill M. Law

Publisher: McGraw-Hill Science, Engineering & Mathematics

ISBN: STANFORD:36105025224465

Category: Computers

Page: 760

View: 663

This senior/graduate-level text is the classic text in its field and established itself as the authoritative source on the theory & practice of simulation over 15 years ago. It is used in most of the better schools of engineering and in some business programs as well.
Categories: Computers

Simulation Modeling and Analysis with Expertfit Software

Simulation Modeling and Analysis with Expertfit Software

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.

Author: Averill Law

Publisher: McGraw-Hill Science/Engineering/Math

ISBN: 0073294411

Category: Technology & Engineering

Page: 792

View: 999

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. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Categories: Technology & Engineering

Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA

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 ...

Author: Tayfur Altiok

Publisher: Elsevier

ISBN: 0080548954

Category: Computers

Page: 456

View: 275

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
Categories: Computers

Qualitative Simulation Modeling and Analysis

Qualitative Simulation Modeling and Analysis

This book boldly attempts to bring together, for the first time, the qualitative techniques previously found only in hard-to-find journals dedicated to single disciplines.

Author: Paul A. Fishwick

Publisher: Springer Science & Business Media

ISBN: 9781461390725

Category: Computers

Page: 341

View: 360

Recently there has been considerable interest in qualitative methods in simulation and mathematical model- ing. Qualitative Simulation Modeling and Analysis is the first book to thoroughly review fundamental concepts in the field of qualitative simulation. The book will appeal to readers in a variety of disciplines including researchers in simulation methodology, artificial intelligence and engineering. This book boldly attempts to bring together, for the first time, the qualitative techniques previously found only in hard-to-find journals dedicated to single disciplines. The book is written for scientists and engineers interested in improving their knowledge of simulation modeling. The "qualitative" nature of the book stresses concepts of invariance, uncertainty and graph-theoretic bases for modeling and analysis.
Categories: Computers

Simulation Modeling and Analysis

Simulation Modeling and Analysis

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.

Author: Averill Law

Publisher: McGraw-Hill Higher Education

ISBN: 9780077595968

Category: Technology & Engineering

Page: 804

View: 853

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.
Categories: Technology & Engineering

Graphical Simulation Modeling and Analysis

Graphical Simulation Modeling and Analysis

This package permits interactive run-time event graph modelling - models can be built and edited while they are running.

Author: Lee W. Schruben

Publisher: Boyd & Fraser Publishing Company

ISBN: CORNELL:31924072218260

Category: Computers

Page: 298

View: 467

This package permits interactive run-time event graph modelling - models can be built and edited while they are running. Sigma for Window's run time editing allows event vertices and edges to be edited, added, replayed, executed, cancelled and deleted during a run.
Categories: Computers

Applied Simulation

Applied Simulation

Simulation is an applied technology that adds no value if not used effectively. This book is all about applying simulation in manufacturing, mining, healthcare, transportation, retail, distribution, and more.

Author: Malcolm Beaverstock

Publisher: Bookbaby

ISBN: 0983231974

Category: Technology & Engineering

Page: 492

View: 480

Simulation is an applied technology that adds no value if not used effectively. This book is all about applying simulation in manufacturing, mining, healthcare, transportation, retail, distribution, and more. While traditional simulation texts focus on simulation theory, this book achieves a balance between the important theory and practical issues that lead to simulation success. Written by authors who have in-depth knowledge of simulation and statistics theory as well as extensive experience in teaching and successfully applying simulation, it provides techniques and practical advice. This book covers topics not found in most other texts. It includes chapters on justifying, defining and managing simulation projects. Each exercise is based on actual experience from a wide variety of dynamic operations. The exercises pose unique problems to be solved using simulation as a tool. Also included are application techniques concerning how to manage and store simulation data, picking the correct length of time a simulation should be run, as well as control communications between simulated equipment. Simulating fluid flow, reliability involving competing failures, time schedules, and production scheduling are topics unique to this book.Review questions at the end of each chapter, simulation modeling activities, and educator support materials are reasons this book is being used for teaching simulation as an applied technology around the world. The ease-of-use and native 3D graphical environment of FlexSim means very little time needs to be spent addressing software details. The interest and focus is always on applying the technology.Applied Simulation: Modeling and Analysis using FlexSim enhances the traditional approach to simulation education and provides a truly fresh view to the professional practice of simulation.
Categories: Technology & Engineering

Discrete Event Simulation

Discrete Event Simulation

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

Author: George S. Fishman

Publisher: Springer Science & Business Media

ISBN: 9781475735529

Category: Computers

Page: 537

View: 213

"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
Categories: Computers

Simio and Simulation Modeling Analysis Applications

Simio and Simulation  Modeling  Analysis  Applications

This fifth edition explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between.

Author: Jeffrey Smith

Publisher: Createspace Independent Publishing Platform

ISBN: 1727854586

Category: Computer simulation

Page: 436

View: 687

This fifth edition explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation.
Categories: Computer simulation

Principles of Modeling and Simulation

Principles of Modeling and Simulation

The book is organized into three succinct parts: Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in ...

Author: John A. Sokolowski

Publisher: John Wiley & Sons

ISBN: 9781118210949

Category: Mathematics

Page: 280

View: 887

Explores wide-ranging applications of modeling and simulationtechniques that allow readers to conduct research and ask "Whatif??" Principles of Modeling and Simulation: A MultidisciplinaryApproach is the first book to provide an introduction tomodeling and simulation techniques across diverse areas of study.Numerous researchers from the fields of social science,engineering, computer science, and business have collaborated onthis work to explore the multifaceted uses of computationalmodeling while illustrating their applications in commonspreadsheets. The book is organized into three succinct parts: Principles of Modeling and Simulation provides a briefhistory of modeling and simulation, outlines its many functions,and explores the advantages and disadvantages of using models inproblem solving. Two major reasons to employ modeling andsimulation are illustrated through the study of a specific problemin conjunction with the use of related applications, thus gaininginsight into complex concepts. Theoretical Underpinnings examines various modelingtechniques and introduces readers to two significant simulationconcepts: discrete event simulation and simulation of continuoussystems. This section details the two primary methods in whichhumans interface with simulations, and it also distinguishes themeaning, importance, and significance of verification andvalidation. Practical Domains delves into specific topics related totransportation, business, medicine, social science, and enterprisedecision support. The challenges of modeling and simulation arediscussed, along with advanced applied principles of modeling andsimulation such as representation techniques, integration into theapplication infrastructure, and emerging technologies. With its accessible style and wealth of real-world examples,Principles of Modeling and Simulation: A MultidisciplinaryApproach is a valuable book for modeling and simulation coursesat the upper-undergraduate and graduate levels. It is also anindispensable reference for researchers and practitioners workingin statistics, mathematics, engineering, computer science,economics, and the social sciences who would like to furtherdevelop their understanding and knowledge of the field.
Categories: Mathematics

Multiscale Modeling and Analysis for Materials Simulation

Multiscale Modeling and Analysis for Materials Simulation

This volume serves to inspire graduate students and researchers who choose to embark into original research work in these fields.

Author: Weizhu Bao

Publisher: World Scientific

ISBN: 9789814360890

Category: Mathematics

Page: 272

View: 283

The Institute for Mathematical Sciences at the National University of Singapore hosted a two-month research program on "Mathematical Theory and Numerical Methods for Computational Materials Simulation and Design" from 1 July to 31 August 2009. As an important part of the program, tutorials and special lectures were given by leading experts in the fields for participating graduate students and junior researchers. This invaluable volume collects four expanded lecture notes with self-contained tutorials. They cover a number of aspects on multiscale modeling, analysis and simulations for problems arising from materials science including some critical components in computational prediction of materials properties such as the multiscale properties of complex materials, properties of defects, interfaces and material microstructures under different conditions, critical issues in developing efficient numerical methods and analytic frameworks for complex and multiscale materials models. This volume serves to inspire graduate students and researchers who choose to embark into original research work in these fields.
Categories: Mathematics

Analysis Modeling and Simulation of Multiscale Problems

Analysis  Modeling and Simulation of Multiscale Problems

This book reports recent mathematical developments in the Programme "Analysis, Modeling and Simulation of Multiscale Problems", which started as a German research initiative in 2006.

Author: Alexander Mielke

Publisher: Springer Science & Business Media

ISBN: 9783540356578

Category: Mathematics

Page: 697

View: 401

This book reports recent mathematical developments in the Programme "Analysis, Modeling and Simulation of Multiscale Problems", which started as a German research initiative in 2006. Multiscale problems occur in many fields of science, such as microstructures in materials, sharp-interface models, many-particle systems and motions on different spatial and temporal scales in quantum mechanics or in molecular dynamics. The book presents current mathematical foundations of modeling, and proposes efficient numerical treatment.
Categories: Mathematics

Simulation Modeling Methods

Simulation Modeling Methods

These success stories and others will help you place new and improved systems into live-action scenarios.

Author: H. James Harrington

Publisher: McGraw Hill Professional

ISBN: 0070271364

Category: Business & Economics

Page: 379

View: 331

Computer simulation modeling, the new force in business, allows managers to see the results of a process change before committing time and resources to it. The Simulation Modeling Toolkit is vital to understanding numerous applications of this important process. Its methods and techniques will help any reader reduce time and risk in developing new products and serving customers, and the CD-ROM insert enables the user to create and run simulations from start to finish.
Categories: Business & Economics

Data Analysis Optimization and Simulation Modeling

Data Analysis  Optimization  and Simulation Modeling

DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in ...

Author: S. Christian Albright

Publisher:

ISBN: 0538476761

Category: Decision making

Page: 1061

View: 556

DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.
Categories: Decision making

Handbook of Real World Applications in Modeling and Simulation

Handbook of Real World Applications in Modeling and Simulation

Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques.

Author: John A. Sokolowski

Publisher: John Wiley & Sons

ISBN: 9781118241264

Category: Mathematics

Page: 352

View: 958

Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling. Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques. Contributions from leading academics and researchers integrate modeling and simulation theories, methods, and data to analyze challenges that involve technological and social issues. The book begins with an introduction that explains why modeling and simulation is a reliable analysis assessment tool for complex systems problems. Subsequent chapters provide an orientation to various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains. Additionally, the handbook: Provides a practical one-stop reference on modeling and simulation and contains an accessible introduction to key concepts and techniques Introduces, trains, and prepares readers from statistics, mathematics, engineering, computer science, economics, and business to use modeling and simulation in their studies and research Features case studies that are representative of fundamental areas of multidisciplinary studies and provides a concise look at the key concepts of modeling and simulation Contains a collection of original ideas on modeling and simulation to help academics and practitioners develop a multifunctional perspective Self-contained chapters offer a comprehensive approach to explaining each respective domain and include sections that explore the related history, theory, modeling paradigms, and case studies. Key terms and techniques are clearly outlined, and exercise sets allow readers to test their comprehension of the presented material. Handbook of Real-World Applications in Modeling and Simulation is an essential reference for academics and practitioners in the areas of operations research, business, management science, engineering, statistics, mathematics, and computer science. The handbook is also a suitable supplement for courses on modeling and simulation at the graduate level.
Categories: Mathematics

Coupled Electromagnetic Field Circuit Simulation Modeling and Numerical Analysis

Coupled Electromagnetic Field Circuit Simulation  Modeling and Numerical Analysis

In this thesis, we presented the derivation of the modified nodal analysis
including memristor models and coupled ... the models in terms of the tractability
index concept for differential-algebraic equations with a properly stated leading
term.

Author: Sascha Baumanns

Publisher: Logos Verlag Berlin GmbH

ISBN: 9783832531911

Category: Mathematics

Page: 209

View: 433

Today's most commonly used circuit models increasingly tend to lose their validity in circuit simulation due to rapid technological developments, miniaturization and increased complexity of integrated circuits. The starting point of this thesis was to tackle these challenges by refining the critical parts of the circuit by combining circuit simulation directly with distributed device models. The approach set out in this thesis couples partial differential equations for electromagnetic devices - modeled by Maxwell's equations -, to differential-algebraic equations, which describe basic circuit elements including memristors and the circuit's topology. First, Maxwell's equations are spatially discretized and a potential formulation is derived, the coupled system is then formulated as a differential-algebraic equation with a properly stated leading term and analyzed. Topological and modeling conditions are presented to guarantee the tractability index of these differential-algebraic equations to be no greater than two. Finally, local solvability, perturbation results and an algorithm to calculate consistent initializations are derived for a general class of differential-algebraic equations with a properly stated leading term having tractability index-2.
Categories: Mathematics