Synopses & Reviews
Synopsis
Modelling and simulation provides invaluable support for the design and evaluation of dynamic systems, offering multi-faceted tools that are unconstrained by discipline boundaries.
This fully updated and expanded new edition of Modelling and Simulation presents a practical introduction to the fundamental aspects of modelling and simulation. It provides the necessary foundations both for those wishing to learn about this methodology and also for those who have a need to apply it in their work. Illustrative examples are drawn from projects formulated within the domains of both discrete-event dynamic systems and continuous-time dynamic systems.
Topics and features: presents a project-oriented (i.e., goal-based) perspective on modelling and simulation; describes an updated novel activity based conceptual modelling framework (the ABCmod framework) for discrete-event dynamic systems; includes a new chapter that presents a novel world view, the Activity-Object world view, which eases the translation of a conceptual model specification in the ABCmod framework into a simulation program; contains numerous illustrative examples and useful algorithms, in addition to exercises and projects at the end of most chapters; includes a primer on probability, a concise guide to the GPSS programming environment and an overview of relevant MATLAB features in the appendices; provides supplementary software and teaching support material at an associated website, including lecture slides and a methodology for organizing student projects.
Students at the senior undergraduate or junior graduate level will find this hands-on textbook/reference to be an essential guide to the fundamentals of modelling and simulation. It is also ideally suited for self-study by professionals seeking insight into the vast potential of this rapidly evolving problem-solving paradigm.
Synopsis
Part I: Fundamentals
Introduction
Modelling and Simulation Fundamentals
Part II: DEDS Modelling and Simulation
DEDS Stochastic Behaviour and Modelling
A Conceptual Modelling Framework for DEDS
DEDS Simulation Model Development
The Activity-Object World View for DEDS
Experimentation and Output Analysis
Part III: CTDS Modelling and Simulation
Modelling of Continuous Time Dynamic Systems
Simulation with CTDS Models
Part IV: Simulation Optimization
Optimization Overview
Simulation Optimization in the CTDS Domain
Simulation Optimization in the DEDS Domain
Appendix A: ABCmod Applications in M&S Projects
Appendix B: Probability and Statistics Primer
Appendix C: GPSS Primer
Appendix D: MATLAB Primer
Synopsis
Fully updated and expanded new edition
The only textbook to give a balanced and integrated presentation of modelling and simulation activity for both discrete-event dynamic systems and continuous-time dynamic systems
Contains numerous examples, algorithms, exercises and projects, in addition to a series of primers in the appendices, and teaching support material at an associated website
Synopsis
This hands-on textbook/reference presents an introduction to the fundamental aspects of modelling and simulation, both for those wishing to learn about this methodology and also for those who have a need to apply it in their work. The text is supported by illustrative examples, drawn from projects formulated within the domains of discrete-event dynamic systems (DEDS) and continuous-time dynamic systems (CTDS).
This updated new edition has been enhanced with new illustrative case studies, and additional examples demonstrating some new features and the effectiveness of the ABCmod conceptual modelling framework. Changes that facilitate the development of simulation models with ABSmod/J are illustrated. New material includes a presentation of the experimentation strategy called "design of experiments" and three new chapters that explore the optimization-simulation interface.
Topics and features: presents a goal-based and project-oriented perspective of modelling and simulation; describes the ABCmod framework, an activity-based conceptual modelling framework for DEDS; examines the simulation-optimization interface in both the CTDS and DEDS domains; provides numerous illustrative examples, case studies and useful algorithms, as well as exercises and projects at the end of most chapters; includes appendices on probability and statistics, the GPSS programming environment, and relevant MATLAB features; provides supplementary software and teaching support material at an associated website, including lecture slides and a methodology for organizing student projects.
Serving as an essential guide to the foundations of modelling and simulation, this practical primer is ideal for senior undergraduate and junior graduate-level students. Also suitable for self-study, the book will be of great benefit to professionals seeking insight into the vast potential of this rapidly evolving problem-solving paradigm.