System Dynamics

Modelling and Simulation

Author: Bilash Kanti Bala,Fatimah Mohamed Arshad,Kusairi Mohd Noh

Publisher: Springer

ISBN: 9811020450

Category: Business & Economics

Page: 278

View: 2788

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This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.

Verkehrsdynamik und -simulation

Daten, Modelle und Anwendungen der Verkehrsflussdynamik

Author: Martin Treiber,Arne Kesting

Publisher: Springer-Verlag

ISBN: 9783642052286

Category: Science

Page: 368

View: 6740

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Das Lehrbuch liefert eine umfassende Darstellung der Modellierung und Dynamik des Straßenverkehrs. Es erschließt Studierenden ein Gebiet, das bisher nur in der englischsprachigen Originalliteratur dargestellt wurde. Aktuelle Anwendungen in Bereichen wie Verkehrsmanagement, Fahrer-Assistenzsysteme oder Verkehrstelematik stellen den Praxisbezug her, zahlreiche Abbildungen und Übungsaufgaben vertiefen das Verständnis. Das Buch richtet sich an Physik- und Verkehrsingenieurstudenten sowie Studierende der Informatik, Mathematik und technischer Richtungen.

Modellbildung und Simulation

Eine anwendungsorientierte Einführung

Author: Hans-Joachim Bungartz,Stefan Zimmer,Martin Buchholz,Dirk Pflüger

Publisher: Springer-Verlag

ISBN: 3642376568

Category: Computers

Page: 400

View: 1101

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Dieses Buch gibt eine Einführung in die mathematische und informatische Modellierung sowie in die Simulation als universelle Methodik. Und so geht es um Klassen von Modellen, um deren Herleitung und um die Vielfalt an Beschreibungsarten, die eingesetzt werden können – diskret oder kontinuierlich, deterministisch oder stochastisch. Aber immer geht es auch darum, wie aus unterschiedlichen abstrakten Modellen ganz konkrete Simulationsergebnisse gewonnen werden können. Nach einem kompakten Repetitorium zum benötigten mathematischen Apparat wird das Konzept „Über das Modell zur Simulation" anhand von 14 Szenarien aus den Bereichen „Spielen – entscheiden – planen", „Verkehr auf Highways und Datenhighways", „Dynamische Systeme" sowie „Physik im Rechner" umgesetzt. Ob Spieltheorie oder Finanzmathematik, Verkehr oder Regelung, ob Populationsdynamik oder Chaos, Molekulardynamik, Kontinuumsmechanik oder Computergraphik – der Leser erhält auf anschauliche und doch systematische Weise Einblicke in die Welt der Modelle und Simulationen.

System Dynamics Modeling with R

Author: Jim Duggan

Publisher: Springer

ISBN: 3319340433

Category: Computers

Page: 176

View: 4041

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This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.

Mathematik für Ingenieure

Author: Joachim Erven,Dietrich Schwägerl

Publisher: Walter de Gruyter

ISBN: 3486707965

Category: Mathematics

Page: 449

View: 6604

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Mathematik - muss das sein? Ja, und mit den Beispielen in diesem Buch macht's sogar Spaß. Denn hier wird Mathematik anhand alltäglicher Probleme erklärt. So lassen sich mathematische Grundlagen darstellen und Methoden und Werkzeuge entwickeln. Die ganze fürs Studium notwendige Mathematik wird anwendbar präsentiert. Zahlreiche Bilder und ausführlich durchgerechnete Beispiele veranschaulichen den Stoff; viele Übungsaufgaben mit Lösungen machen fit für die Prüfung.

Enterprise Risk Management Models

Author: David L. Olson,Desheng Dash Wu

Publisher: Springer

ISBN: 3662537850

Category: Business & Economics

Page: 216

View: 5852

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This book is a comprehensive guide to several aspects of risk, including information systems, disaster management, supply chain and disaster management perspectives. A major portion of this book is devoted to presenting a number of operations research models that have been (or could be) applied to enterprise supply risk management, especially from the supply chain perspective. Each chapter of this book can be used as a unique module on a different topics with dedicated examples, definitions and discussion notes. This book comes at a time when the world is increasingly challenged by different forms of risk and how to manage them. Events of the 21st Century have made enterprise risk management even more critical. Risks such as suspicions surrounding top-management structures, financial and technology bubbles (especially since 2008), as well as the demonstrated risk from terrorism, such as the 9/11 attack in the U.S. as well as more recent events in France, Belgium, and other locations in Europe, have a tremendous impact on many facets of business. Businesses, in fact, exist to cope with risk in their area of specialization.

Complex Systems Modeling and Simulation in Economics and Finance

Author: Shu-Heng Chen,Ying-Fang Kao,Ragupathy Venkatachalam,Ye-Rong Du

Publisher: Springer

ISBN: 9783319996226

Category: Business & Economics

Page: 390

View: 6608

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This title brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and nonlinear dynamics in economics. The book contains the proceedings of the CEF2015 (21st Computing in Economics in Finance), held 20-22 June 2015 in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems. The breakthroughs reported in this book are a result of an interdisciplinary approach and simulation remains the unifying theme for these papers as they deal with a wide range of topics in economics. The text is a valuable addition to the efforts in promoting the complex systems view in economic science. The computational experiments reported in the book are both transparent and replicable. Complex System Modeling and Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same time it serves as a good overview for researchers who are interested in the topic.

Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences

Author: Giovanni Naldi,Lorenzo Pareschi,Giuseppe Toscani

Publisher: Springer Science & Business Media

ISBN: 0817649468

Category: Mathematics

Page: 438

View: 3329

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Using examples from finance and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. The topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for applied mathematicians, physicists, biologists, and economists involved in the modeling of socio-economic systems.

Dynamic Modeling of Environmental Systems

Author: Michael L. Deaton,James J. Winebrake

Publisher: Springer Science & Business Media

ISBN: 1461213002

Category: Mathematics

Page: 197

View: 2868

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A primer on modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate level environmental professionals seeking an introduction to modeling in their field.

Strategisches und operatives Produktionsmanagement

Empirie und Simulation

Author: Jürgen Strohhecker,Andreas Größler

Publisher: Springer-Verlag

ISBN: 3834984019

Category: Business & Economics

Page: 350

View: 3803

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Der Sammelband ehrt Professor Dr. Dr. h.c. Peter Milling zu seinem 65. Geburtstag. Er vereint deutsche und internationale Beiträge, die das weite Feld des Produktionsmanagements thematisieren.

Materials Management

An Integrated Systems Approach

Author: Prem Vrat

Publisher: Springer

ISBN: 8132219708

Category: Business & Economics

Page: 408

View: 3793

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This book examines the problem of managing the flow of materials into, through, and out of a system in order to improve the efficiency and effectiveness of materials management. The subject is crucial for global competitive advantage, as materials constitute the largest single cost factor in manufacturing and service, and their effective management enhances value for money. In this context, inventory is a barometer of materials management effectiveness, along with wastage of materials. The book adopts a comprehensive, integrated systems approach and covers almost all aspects of materials, considering the specification, procurement, storage, handling, issue, use and accounting of materials to get the most out of every dollar invested. Combining conceptual clarity and quantitative rigor, it will be a highly useful guide for practicing managers, academics and researchers in this vital functional area.

Advances in Dynamic Games

Applications to Economics, Management Science, Engineering, and Environmental Management

Author: Alain Haurie,Shigeo Muto,Leon A. Petrosjan,T. E. S. Raghavan

Publisher: Springer Science & Business Media

ISBN: 0817645012

Category: Mathematics

Page: 420

View: 2995

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This book, an outgrowth of the 10th International Symposium on Dynamic Games, presents current developments of the theory of dynamic games and its applications. The text uses dynamic game models to approach and solve problems pertaining to pursuit-evasion, marketing, finance, climate and environmental economics, resource exploitation, as well as auditing and tax evasions. It includes chapters on cooperative games, which are increasingly drawing dynamic approaches to their classical solutions.

Systems Thinking

Intelligence in Action

Author: Piero Mella

Publisher: Springer Science & Business Media

ISBN: 8847025656

Category: Business & Economics

Page: 304

View: 2292

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The core belief underlying this book is that the most useful and effective models to strengthen our intelligence are system ones, developed following the logic of Systems Thinking. Such models can explore complexity, dynamics, and change, and it is the author’s view that intelligence depends on the ability to construct models of this nature. The book is designed to allow the reader not only to acquire simple information on Systems Thinking but above all to gradually learn the logic and techniques that make this way of thinking an instrument for the improvement of intelligence. In order to aid the learning and practice of the Systems Thinking discipline, the author has abandoned a rigid formal language for a more discursive style. He writes in the first person, with an ample number of citations and critical analyses, and without ever giving in to the temptation to use formal mathematics.

Kompendium Systembiologie

Mathematische Modellierung und Modellanalyse

Author: Andreas Kremling

Publisher: Springer-Verlag

ISBN: 3834886076

Category: Science

Page: 300

View: 6104

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Das Buch beschreibt die Grundlagen der mathematischen Modellierung zellulärer Systeme. Nach einer Klassifikation von Modellen wird schwerpunktmäßig auf deterministische Modelle eingegangen und für alle relevanten zellulären Prozesse entsprechende Gleichungen angegeben. Anschließend werden eine Reihe von Verfahren zur Modellanalyse vorgestellt. Etwas kürzer werden Verfahren zum Reverse Engineering und zur Analyse von Netzwerkgraphen abgehandelt. Am Ende werden noch Verfahren der Parameteridentifikation besprochen.

Introduction to Process Control

Analysis, Mathematical Modeling, Control and Optimization

Author: Victor A. Skormin

Publisher: Springer

ISBN: 3319422588

Category: Business & Economics

Page: 254

View: 1180

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This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.

Enabling a Simulation Capability in the Organisation

Author: Andrew Greasley

Publisher: Springer Science & Business Media

ISBN: 9781848001695

Category: Business & Economics

Page: 152

View: 5573

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This book addresses the application of simulation modelling techniques in order to enable better informed decisions in business and industrial organisations. The book’s unique approach treats simulation not just as a technical tool, but as a support for organisational decision making, showing the results from a survey of current and potential users of simulation to suggest reasons why the technique is not used as much as it should be and what are the barriers to its further use.

Advances in Modeling and Simulation

Seminal Research from 50 Years of Winter Simulation Conferences

Author: Andreas Tolk,John Fowler,Guodong Shao,Enver Yücesan

Publisher: Springer

ISBN: 3319641824

Category: Computers

Page: 355

View: 1984

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​This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community. Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers a focus on the design and analysis of simulation experiments under various goals, and describes how data can be “farmed” to support decision making; provides a comprehensive overview of Bayesian belief models for simulation-based decision making, and introduces a model for ranking and selection in cloud computing; highlights how input model uncertainty impacts simulation optimization, and proposes an approach to quantify and control the impact of input model risk; surveys the applications of simulation in semiconductor manufacturing, in social and behavioral modeling, and in military planning and training; presents data analysis on the publications from the Winter Simulation Conference, offering a big-data perspective on the significant impact of the conference. This informative and inspiring volume will appeal to all academics and professionals interested in computational and mathematical modeling and simulation, as well as to graduate students on the path to form the next generation of WSC pioneers.