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Robust Modelling and Simulation

Integration of SIMIO with Coloured Petri Nets

  • Idalia Flores De La Mota
  • Antoni Guasch
  • Miguel Mujica Mota
  • Miquel Angel Piera

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Idalia Flores De La Mota, Antoni Guasch, Miquel Angel Piera
    Pages 1-17
  3. Idalia Flores De La Mota, Antoni Guasch
    Pages 19-48
  4. M. Narciso, M. A. Piera
    Pages 49-85
  5. Miguel Mujica Mota
    Pages 87-130
  6. Antoni Guasch, Jaume Figueras
    Pages 131-162

About this book

Introduction

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).

Keywords

Industrial systems Tackling complexity in Modelling Developing robust models Petri Net Logistics Aeronautics operations

Authors and affiliations

  • Idalia Flores De La Mota
    • 1
  • Antoni Guasch
    • 2
  • Miguel Mujica Mota
    • 3
  • Miquel Angel Piera
    • 4
  1. 1.Posgrado de IngenieríaCiudad UniversitariaMexico CityMexico
  2. 2.Dept. Enginyeria de SistemesAutomàtica i Inf. Ind. (ESAII)BarcelonaSpain
  3. 3.Faculty of TechnologyAmsterdam University of Applied SciencesAmsterdamThe Netherlands
  4. 4.Bellaterra (Cerdanyola del Vallès)Spain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53321-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-53320-9
  • Online ISBN 978-3-319-53321-6
  • Buy this book on publisher's site