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Simulation-Based Engineering of Complex Systems

ISBN: 978-0-470-40129-3
503 pages
March 2009
Simulation-Based Engineering of Complex Systems (047040129X) cover image
A hands-on approach to understanding, designing, analyzing, and evaluating complex systems

During the last few years, Simulation-Based Systems Engineering (SBSE) has become an essential tool for the design and evaluation of complex systems. This is the first book to cover the basic principles of complex systems through the use of hands-on experimentation using an icon-based simulation tool.

Utilizing the accompanying software tool ExtendSim, which works with the OpEMCSS library, readers are invited to engage in simulation-based

experiments that demonstrate the principles of complex systems with an

emphasis on design, analysis, and evaluation. A number of real-world examples are included to demonstrate how to model complex systems across a range of engineering, business, societal, economic, and scientific disciplines.

Beginning with an introduction to SBSE, the book covers:

  • Simulation concepts and building blocks

  • Systems design and model development

  • Markov model development

  • Reliability processes

  • Queuing theory in SBSE

  • Rule-based learning and adaptation

  • Agent motion and spatial interactions

  • Multi-agent system of systems

Assuming only a very basic background in problem-solving ability, this book is ideal as a textbook for students (a homework solution manual is also available) and as a reference book for practitioners in industry.

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Preface.

1. Introduction to Simulation-Based Systems Engineering.

1.1 Definition of Complex Systems.

1.2 Using Simulation to Understand Complex Systems.

1.3 Bringing Complex Systems into Being.

1.4 Summary.

1.5 Homework Problems.

2. Simulation Concepts and Building Blocks.

2.1 Statistical Aspects of Simulation.

2.2 OpEM Graphical Modeling Language.

2.3 How OpEM Parallel Process Simulations Work.

2.4 OpEMCSS Simulation of Context-Sensitive Systems.

2.5 An OpEM Example of Preemptive Scheduling.

2.6 Summary.

2.7 Homework.

2.8 References.

3. Systems Design and Model Development.

3.1 Inventory System.

3.2 Part Production System.

3.3 Seaport System.

3.4 Advanced Features of OpEMCSS.

3.5 Summary.

3.6 Homework.

3.7 References.

4. Markov Model Development.

4.1 Discrete-Time Markov Chains.

4.2 Continuous-Time Markov Processes.

4.3 Semi-Markov Flow Graphs.

4.4 System Design and Evaluation Using Markov Models.

4.5 Homework.

4.6 References.

5. Reliability Processes.

5.1 Definitions.

5.2 Reliability of Non-Maintained Module Groups.

5.3 Availability of Maintained Module Groups.

5.4 Dependence of System Performance on Reliability.

5.5 Summary.

5.6 Homework.

5.7 References.

6. Queuing Theory in Simulation-Based Systems Engineering.

6.1 Single-Queue, Single Server Process.

6.2 Single-Queue, Two-Server Process.

6.3 Comparison of Simulation, Markov Process, and Queuing Theory Models.

6.4 Homework.

6.5 Reference.

7. Rule-Based Learning and Adaptation.

7.1 Classifier Systems.

7.2 Induction of Decision Making Rules.

7.3 Supervisory Rule Learning.

7.4 Summary.

7.5 Conclusions.

7.6 References.

8. Agent Motion and Spatial Interactions.

8.1 Discrete Event Model of Continuous motion.

8.2 Agent Motion and Spatial Interaction Blocks.

8.3 World Model.

8.4 Sonar Array System.

8.5 Summary.

8.6 Reference.

9. Multi-Agent System of Systems (SOS).

9.1 Agents and Agent Interactions.

9.2 Elevator System.

9.3 Distributed, Vehicle Traffic Light Control System.

9.4 Communication Blocks for Multi-Agent Systems.

9.5 Summary.

9.6 References.

Appendix A - OpEMCSS User’s Manual.

A.1 Minimum Requirements for Successful CSS Modeling Languages.

A.2 Modeling Languages Survey.

A.2.1 Petri Nets.

A.2.2 IDEF0 Diagrams.

A.2.3 ExtendSim Queuing Models.

A.2.4 Modeling Languages Survey Summary.

A.3 Operational Evaluation Modeling (OpEM) Historical Overview.

A.4 OpEMCSS Familiarization Exercises.

A.4.1 How to Set Up ExtendSim LT-RunTime.

A.4.2 ExtendSim Environment Overview.

A.4.3 Block Familiarization Exercises.

A.5 Overview of Context-Sensitive Event Action Blocks.

A.5.1 Message Event Action block.

A.5.2 Context-Sensitive Event Action block.

A.5.3 Event Action block.

A.6 Summary.

A.7 References.

Appendix B Overview of OpEMCSS Library Blocks.

B.1 Definition of OPEMCSS Block Categories.

B.2 Description of OpEMCSS Blocks by Category.

B.2.1 Category 1.

B.2.2 Category 2.

B.2.3 Category 3.

B.2.4 Category 4.

B.2.5 Category 5.

B.2.6 Category 6.

B.2.7 Category 7.

B.2.8 Category 8.

B.2.9 Category 9.

B.3 Summary of OpEMCSS Block Categories.

Appendix C - Programming OpEMCSS Special Blocks.

C.1 Special Event Action Block Dialogs.

C.2 Execute Event Action Procedure.

C.3 Summary.

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John R. Clymer, PhD, is a Professor at California State University at Fullerton.

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"Simulation-Based Engineering of Complex Systems provides a methodology and a tool to gain understanding on complex systems through simulation based engineering. The software tool (ExtendSimTM) which is provided as a CD works with the OpEMCSS library and gives the readers an opportunity of experimentation." (Journal of Artificial Societies and Social Simulation, July 2010)

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