Modelling and simulation: exploring dynamic system behaviour

By:

Birta, Louis G

Contributor(s):

Arbez, Gilbert

Material type: Text

TextPublication details: Springer Switzerland 2019Edition: 3rdDescription: xviii, 551 pISBN:

9783030188719

Subject(s):

DDC classification:

003.3 BIR

Summary: About this book 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.

List(s) this item appears in: Operation & quantitative Techniques | Marketing

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	003.3 BIR (Browse shelf(Opens below))	1	Available		002841

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Previous	003 ALE New centrality measures in networks: how to take into account the parameters of the nodes and group influence of nodes to nodes	003 BRO Schaum's outline of operations research	003 BRO Schaum's outline of operations research	003.3 BIR Modelling and simulation: exploring dynamic system behaviour	003.3 LAW Simulation modeling and analysis	003.83 BAN Discrete-event system simulation	004.0151 NER Linear algebra for computational sciences and engineering	Next

About this book
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.

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