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Model Engineering for Simulation

Model Engineering for Simulation
A Book

by Lin Zhang,Bernard P. Zeigler,Yuanjun LaiLi

  • Publisher : Academic Press
  • Release : 2019-02-27
  • Pages : 453
  • ISBN : 0128135441
  • Language : En, Es, Fr & De
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Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism Provides practical methods to improve credibility of models and manage the model lifecycle Helps readers gain an overall understanding of model lifecycle management and analysis Supported by an online ancillary package that includes an instructors and student solutions manual

UML 2002 - The Unified Modeling Language. Model Engineering, Concepts, and Tools

UML 2002 - The Unified Modeling Language. Model Engineering, Concepts, and Tools
5th International Conference, Dresden, Germany, September 30 October 4, 2002. Proceedings

by Jean-Marc Jezequel,Heinrich Hussman,Stephen Cook

  • Publisher : Springer Science & Business Media
  • Release : 2002-09-18
  • Pages : 447
  • ISBN : 9783540442547
  • Language : En, Es, Fr & De
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This book constitutes the referred proceedings of the 5th International Conference on the Unified Modeling Langugage, UML 2002, held in Dresden, Germany in September/October 2002. The 25 revised full research papers and 5 revised experience papers presented were carefully reviewed and selected from 127 abstracts and 99 papers submitted. The papers are organized in topical sections on metamodeling, applying the UML, diggind into the metamodel, experience with MDA, real- time and formal semantics, model engineering, profiles, methodology,and diagram interchange and security.

Theoretical Chemical Engineering

Theoretical Chemical Engineering
Modeling and Simulation

by Christo Boyadjiev

  • Publisher : Springer Science & Business Media
  • Release : 2010-10-20
  • Pages : 594
  • ISBN : 9783642107788
  • Language : En, Es, Fr & De
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The role of theory in science was formulated very brilliantly by Max Planck: Experimenters are the striking force of science. The experiment is a question which science puts to nature. The measurement is the registration of nature’s answer. But before the question is put to nature,it must be formulated. Before the measurement result is used,itmust be explained, i.e., the answer must be understood correctly. These two problems are obligations of the theoreticians. Chemical engineering is an experimental science, but theory permits us to formulate correct experimental conditions and to understand correctly the exp- imental results. The theoretical methods of chemical engineering for modeling and simulation of industrial processes are surveyed in this book. Theoretical chemical engineering solves the problems that spring up from the necessity for a quantitative description of the processes in the chemical industry. They are quite different at the different stages of the quantitative description, i.e., a wide circle of theoretical methods are required for their solutions. Modeling and simulation are a united approach to obtain a quantitative description of the processes and systems in chemical engineering and chemical technology, which is necessary to clarify the process mechanism or for optimal process design, process control, and plant renovation. Modeling is the creation of the mathematical model, i.e., construction of the mathematical description (on the basis of the process mechanism), calculation of the model parameters (using experimental data), and statistical analysis of the model adequacy.

Theory of Modeling and Simulation

Theory of Modeling and Simulation
A Book

by Bernard P. Zeigler,Tag Gon Kim,Herbert Praehofer

  • Publisher : Academic Press
  • Release : 2000-01-24
  • Pages : 510
  • ISBN : 9780127784557
  • Language : En, Es, Fr & De
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The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills. The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards Provides a comprehensive framework for continuous and discrete event modeling and simulation Explores the mathematical foundation of simulation modeling Discusses system morphisms for model abstraction and simplification Presents a new approach to discrete event simulation of continuous processes Includes parallel and distributed simulation of discrete event models Presents a concept to achieve simulator interoperability in the form of the DEVS-Bus

Mathematical Modeling and Simulation

Mathematical Modeling and Simulation
Introduction for Scientists and Engineers

by Kai Velten

  • Publisher : John Wiley & Sons
  • Release : 2009-06-01
  • Pages : 362
  • ISBN : 3527627618
  • Language : En, Es, Fr & De
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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail. Based on the author`s modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software - including 3D CFD and structural mechanics simulation software - can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).

Process Modeling and Simulation for Chemical Engineers

Process Modeling and Simulation for Chemical Engineers
Theory and Practice

by Simant R. Upreti

  • Publisher : John Wiley & Sons
  • Release : 2017-05
  • Pages : 368
  • ISBN : 1118914686
  • Language : En, Es, Fr & De
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This book provides a rigorous treatment of the fundamental concepts and techniques involved in process modeling and simulation. The book allows the reader to: (i) Get a solid grasp of “under-the-hood” mathematical results (ii) Develop models of sophisticated processes (iii) Transform models to different geometries and domains as appropriate (iv) Utilize various model simplification techniques (v) Learn simple and effective computational methods for model simulation (vi) Intensify the effectiveness of their research Modeling and Simulation for Chemical Engineers: Theory and Practice begins with an introduction to the terminology of process modeling and simulation. Chapters 2 and 3 cover fundamental and constitutive relations, while Chapter 4 on model formulation builds on these relations. Chapters 5 and 6 introduce the advanced techniques of model transformation and simplification. Chapter 7 deals with model simulation, and the final chapter reviews important mathematical concepts. Presented in a methodical, systematic way, this book is suitable as a self-study guide or as a graduate reference, and includes examples, schematics and diagrams to enrich understanding. End of chapter problems with solutions and computer software available online at www.wiley.com/go/upreti/pms_for_chemical_engineers are designed to further stimulate readers to apply the newly learned concepts.

Modeling and Simulation Based Life-Cycle Engineering

Modeling and Simulation Based Life-Cycle Engineering
A Book

by Ken Chong,Harold S. Morgan,Sunil Saigal,Stefan Thynell

  • Publisher : CRC Press
  • Release : 2001-12-20
  • Pages : 360
  • ISBN : 9780415266444
  • Language : En, Es, Fr & De
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Advances in computational power have facilitated the development of simulations unprecedented in their computational size, scope of technical issues, spatial and temporal resolution, complexity and comprehensiveness. As a result, complex structures from airplanes to bridges can be almost completely based on model-based simulations. This book gives a state-of-the-art account of modeling and simulation of the life cycle of engineered systems, covering topics of design, fabrication, maintenance and disposal. Providing comprehensive coverage of this rapidly emerging field, Modeling and Simulation-Based Life Cycle Engineering is essential reading for civil, mechanical and manufacturing engineers. It will also appeal to students and academics in this area.

Simulation for Cyber-Physical Systems Engineering

Simulation for Cyber-Physical Systems Engineering
A Cloud-Based Context

by José L. Risco Martín,Saurabh Mittal,Tuncer Ören

  • Publisher : Springer Nature
  • Release : 2020-11-07
  • Pages : 451
  • ISBN : 3030519090
  • Language : En, Es, Fr & De
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This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.

Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering

Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering
A Book

by Ashok Kumar Verma

  • Publisher : CRC Press
  • Release : 2014-10-17
  • Pages : 424
  • ISBN : 1482205920
  • Language : En, Es, Fr & De
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The use of simulation plays a vital part in developing an integrated approach to process design. By helping save time and money before the actual trial of a concept, this practice can assist with troubleshooting, design, control, revamping, and more. Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering explores effective modeling and simulation approaches for solving equations. Using a systematic treatment of model development and simulation studies for chemical, biochemical, and environmental processes, this book explains the simplification of a complicated process at various levels with the help of a "model sketch." It introduces several types of models, examines how they are developed, and provides examples from a wide range of applications. This includes the simple models based on simple laws such as Fick’s law, models that consist of generalized equations such as equations of motion, discrete-event models and stochastic models (which consider at least one variable as a discrete variable), and models based on population balance. Divided into 11 chapters, this book: Presents a systematic approach of model development in view of the simulation need Includes modeling techniques to model hydrodynamics, mass and heat transfer, and reactors for single as well as multi-phase systems Provides stochastic and population balance models Covers the application and development of artificial neural network models and hybrid ANN models Highlights gradients based techniques as well as statistical techniques for model validation and sensitivity analysis Contains examples on development of analytical, stochastic, numerical, and ANN-based models and simulation studies using them Illustrates modeling concepts with a wide spectrum of classical as well as recent research papers Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering includes recent trends in modeling and simulation, e.g. artificial neural network (ANN)-based models, and hybrid models. It contains a chapter on flowsheeting and batch processes using commercial/open source software for simulation.

Modeling and Simulation in Simulink for Engineers and Scientists

Modeling and Simulation in Simulink for Engineers and Scientists
A Book

by Mohammad Nuruzzaman

  • Publisher : AuthorHouse
  • Release : 2005-01
  • Pages : 225
  • ISBN : 1463468989
  • Language : En, Es, Fr & De
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The subject matter of this book is to present the procedural steps required for modeling and simulating the basic dynamic system problems in SIMULINK (a supplementary part of MATLAB) which follow some definitive model. However, the key features of the text can be cited as follows: The book is on the whole a guiding tool for the undergraduate and graduate students of science and engineering who want to work out or simulate the classroom modeling problems using SIMULINK To check the understanding of SIMULINK output and deliberate the reliability on SIMULINK, analytical solutions of the model outputs are inserted in most chapters Since the text presents modeling ranging from elementary to advanced level, audience spectrum of the text includes engineers, teachers, researchers, and scientists who are beginners in using SIMULINK Know-how aspects of SIMULINK are covered in a made-easy way so that the average reader becomes benefited even if starting from the scratch Tabular block links at the end of each chapter required for a particular class of problems help the reader bring them in the model file and simulate quickly Over 300 classroom-modeling examples are simulated with clarity and systematic steps Appropriate for individual or classroom exercise There are ten chapters in the book bearing the following titles: Introduction to SIMULINK Modeling Mathematical Functions and Waves Modeling Ordinary Differential Equations Modeling Difference Equations Modeling Common Problems of Control Systems Modeling Some Signal Processing Problems Modeling Common Matrix Algebra Problems Modeling Common Statistics and Conversion Problems Fourier Analysis Problems Miscellaneous Modeling and Some Programming Issues

Mathematical Modelling and Simulation in Chemical Engineering

Mathematical Modelling and Simulation in Chemical Engineering
A Book

by M. Chidambaram

  • Publisher : Cambridge University Press
  • Release : 2018-03-31
  • Pages : 329
  • ISBN : 1108470408
  • Language : En, Es, Fr & De
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An easy to understand guide covering key principles of mathematical modelling and simulation in chemical engineering.

Economic-engineering Simulation of Cotton Ginning Costs : GINMODEL

Economic-engineering Simulation of Cotton Ginning Costs : GINMODEL
Program Doucmentation and User's Guide

by Dale L. Shaw

  • Publisher : Unknown Publisher
  • Release : 1978
  • Pages : 81
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Simulation Model Design and Execution

Simulation Model Design and Execution
Building Digital Worlds

by Paul A. Fishwick

  • Publisher : Pearson College Division
  • Release : 1995
  • Pages : 448
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Appropriate for courses in Simulation Model Design and Execution in IE and CS. Fishwick offers the first text to cover all three areas of simulation—Model Design, Model Execution, and Execution Analysis—in one source. He focuses on model design (using an extension of object- oriented design called multimodeling) and algorithms for serial and parallel model execution. Also covered is the SimPack simulation toolkit, with a full chapter devoted to using SimPack programs.

CHEMICAL PROCESS MODELLING AND COMPUTER SIMULATION

CHEMICAL PROCESS MODELLING AND COMPUTER SIMULATION
A Book

by JANA, AMIYA K.

  • Publisher : PHI Learning Pvt. Ltd.
  • Release : 2018-01-01
  • Pages : 468
  • ISBN : 9387472086
  • Language : En, Es, Fr & De
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This comprehensive and thoroughly revised text, now in its third edition, continues to present the fundamental concepts of how mathematical models of chemical processes are constructed and demonstrate their applications to the simulation of three of the very important chemical engineering systems: the chemical reactors, distillation systems and vaporizing processes. The book provides an integrated treatment of process description, mathematical modelling and dynamic simulation of realistic problems, using the robust process model approach and its simulation with efficient numerical techniques. Theoretical background materials on activity coefficient models, equation of state models, reaction kinetics, and numerical solution techniques—needed for the development and simulation of mathematical models—are also addressed in the book. The topics of discussion related to tanks, heat exchangers, chemical reactors (both continuous and batch), biochemical reactors (continuous and fed-batch), distillation columns (continuous and batch), equilibrium flash vaporizer, refinery debutanizer column, evaporator, and steam generator contain several worked-out examples and case studies to teach students how chemical processes are operated, characterized and monitored using computer programming. NEW TO THIS EDITION The inclusion of following three new chapters on: • Gas Absorption • Liquid–Liquid Extraction Column • Once-Through Steam Generator will further strengthen the text. This book is designed for senior level undergraduate and first-year postgraduate level courses in ‘Chemical Process Modelling and Simulation’. The book will also be useful for students of petrochemical engineering, biotechnology, and biochemical engineering. It can serve as a guide for research scientists and practising engineers as well.

Modeling, Identification and Simulation of Dynamical Systems

Modeling, Identification and Simulation of Dynamical Systems
A Book

by P. P. J. van den Bosch,A. C. van der Klauw

  • Publisher : CRC Press
  • Release : 1994-07-15
  • Pages : 208
  • ISBN : 9780849391811
  • Language : En, Es, Fr & De
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This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics. Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.

Model-Driven Engineering and Software Development

Model-Driven Engineering and Software Development
5th International Conference, MODELSWARD 2017, Porto, Portugal, February 19-21, 2017, Revised Selected Papers

by Luís Ferreira Pires,Slimane Hammoudi,Bran Selic

  • Publisher : Springer
  • Release : 2018-07-07
  • Pages : 507
  • ISBN : 3319947648
  • Language : En, Es, Fr & De
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This book constitutes thoroughly revised and selected papers from the 5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, held in Porto, Portugal, in February 2017. The 20 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 91 submissions. They contribute to the development of highly relevant research trends in model-driven engineering and software development such as methodologies for MDD development and exploitation, model-based testing, model simulation, domain-specific modeling, code generation from models, new MDD tools, multi-model management, model evolution, and industrial applications of model-based methods and technologies.

Hands-On Simulation Modeling with Python

Hands-On Simulation Modeling with Python
Develop simulation models to get accurate results and enhance decision-making processes

by Giuseppe Ciaburro

  • Publisher : Packt Publishing Ltd
  • Release : 2020-07-17
  • Pages : 346
  • ISBN : 1838988653
  • Language : En, Es, Fr & De
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Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learn Gain an overview of the different types of simulation models Get to grips with the concepts of randomness and data generation process Understand how to work with discrete and continuous distributions Work with Monte Carlo simulations to calculate a definite integral Find out how to simulate random walks using Markov chains Obtain robust estimates of confidence intervals and standard errors of population parameters Discover how to use optimization methods in real-life applications Run efficient simulations to analyze real-world systems Who this book is for Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used to study the behavior of systems. This book will help you explore advanced simulation techniques such as Monte Carlo methods, statistical simulations, and much more using Python. Working knowledge of Python programming language is required.

Model Engineering in Mixed-Signal Circuit Design

Model Engineering in Mixed-Signal Circuit Design
A Guide to Generating Accurate Behavioral Models in VHDL-AMS

by Sorin Alexander Huss

  • Publisher : Springer Science & Business Media
  • Release : 2006-04-18
  • Pages : 162
  • ISBN : 0306481014
  • Language : En, Es, Fr & De
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For the first time, this up-to-date text combines the main issues of the hardware description language VHDL-AMS aimed at model representation of mixed-signal circuits and systems, characterization methods and tools for the extraction of model parameters, and modelling methodologies for accurate high-level behavioural models.

System Zoo 1 Simulation Models

System Zoo 1 Simulation Models
Elementary Systems, Physics, Engineering

by Hartmut Bossel

  • Publisher : BoD – Books on Demand
  • Release : 2007
  • Pages : 184
  • ISBN : 3833484225
  • Language : En, Es, Fr & De
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About the book: Mathematical modeling and computer simulation make it possible to understand and control the dynamic processes taking place in complex systems. Simulation provides insights into the often surprising diversity of possible behaviors, and allows identifying possibilities for intervention and options for alternative development. About one hundred simulation models from all areas of life are fully documented in the three volumes of the 'System Zoo'. They can be quickly implemented and easily operated using freely available system dynamics software. Volume 1 of the System Zoo contains simulation models of elementary processes, and of complex systems from physics and engineering, among them: exponential and logistic growth, oscillations, delays, and storage; phenomena of infection, transition, and overload; complex systems with limit cycles, multiple equilibrium points and chaotic attractors; and applications from control engineering, flight dynamics, fluid flow and heat conduction. The System Zoo collection of simulation models is particularly well-suited for teaching, training, and research projects at all levels from high school to university, and for individual study. Volume 2 of the System Zoo contains simulation models related to climate, vegetation, ecosystems and resources. Volume 3 deals with systems and processes found in economy and society, and with long-term global development. About the author: Hartmut Bossel is Professor Emeritus of environmental systems analysis. He taught for many years at the University of California in Santa Barbara and the University of Kassel, Germany, where he was director of the Center for Environmental Systems Research until his retirement. He holds an engineering degree from the Technical University of Darmstadt, and a Ph.D. degree from the University of California at Berkeley. With a background in engineering, systems science, and mathematical modeling, he has led many research projects and future studies in different countries, developing computer simulation models and decision support systems in the areas of energy supply policy, global dynamics, orientation of behavior, agricultural policy, and forest dynamics and management. He has written numerous books on modeling and simulation of dynamic systems, social change and future paths, and has published widely in the scientific literature in several fields.

Process Simulation Using WITNESS

Process Simulation Using WITNESS
A Book

by Raid Al-Aomar,Edward J. Williams,Onur M. Ulgen

  • Publisher : John Wiley & Sons
  • Release : 2015-08-28
  • Pages : 592
  • ISBN : 1119019761
  • Language : En, Es, Fr & De
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Teaches basic and advanced modeling and simulation techniques to both undergraduate and postgraduate students and serves as a practical guide and manual for professionals learning how to build simulation models using WITNESS, a free-standing software package. This book discusses the theory behind simulation and demonstrates how to build simulation models with WITNESS. The book begins with an explanation of the concepts of simulation modeling and a “guided tour” of the WITNESS modeling environment. Next, the authors cover the basics of building simulation models using WITNESS and modeling of material-handling systems. After taking a brief tour in basic probability and statistics, simulation model input analysis is then examined in detail, including the importance and techniques of fitting closed-form distributions to observed data. Next, the authors present simulation output analysis including determining run controls and statistical analysis of simulation outputs and show how to use these techniques and others to undertake simulation model verification and validation. Effective techniques for managing a simulation project are analyzed, and case studies exemplifying the use of simulation in manufacturing and services are covered. Simulation-based optimization methods and the use of simulation to build and enhance lean systems are then discussed. Finally, the authors examine the interrelationships and synergy between simulation and Six Sigma. Emphasizes real-world applications of simulation modeling in both services and manufacturing sectors Discusses the role of simulation in Six Sigma projects and Lean Systems Contains examples in each chapter on the methods and concepts presented Process Simulation Using WITNESS is a resource for students, researchers, engineers, management consultants, and simulation trainers.