Robust modelling and simulation : integration of SIMIO with coloured Petri nets

This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which v...

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Bibliographic Details
Main Author Mota, Idalia Flores de la (Author)
Other Authors Guasch, Antoni, Mujica Mota, Miguel, Piera, M. A.
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
Subjects
Online AccessFull text
ISBN9783319533216
9783319533209
Physical Description1 online resource : illustrations

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100 1 |a Mota, Idalia Flores de la,  |e author. 
245 1 0 |a Robust modelling and simulation :  |b integration of SIMIO with coloured Petri nets /  |c Idalia Flores De La Mota [and 3 others]. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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504 |a Includes bibliographical references. 
505 0 |a Preface -- Introduction -- Chapter 1: Introduction to Digital Simulation.-Chapter 2: Statistics elements for simulation -- Chapter 3: Modelling of Systems using Petri Nets -- Chapter 4: Integrating Coloured Petri Nets with SIMIO -- Chapter 5: Modelling Example -- References -- Annex. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which variability is the common denominator. Practically all industrial systems, from manufacturing to aviation are considered stochastic systems. Different modelling techniques have been developed as well as mathematical techniques for formalizing the cause-effect relationships in industrial and complex systems. The methodology in this book illustrates how complexity in modelling can be tackled by the use of coloured petri nets, while at the same time the variability present in systems is integrated in a robust fashion. The book can be used as a concise guide for developing robust models, which are able to efficiently simulate the cause-effect relationships present in complex industrial systems without losing the simulation power of discrete-event simulation. In addition SIMIO's capabilities allows integration of features that are becoming more and more important for the success of projects such as animation, virtual reality, and geographical information systems (GIS). 
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700 1 |a Guasch, Antoni. 
700 1 |a Mujica Mota, Miguel. 
700 1 |a Piera, M. A.  |q (Miquel Angel) 
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