Robust Modelling and Simulation (Record no. 79288)

000 -LEADER
fixed length control field 03997nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-319-53321-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221109.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170328s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319533216
-- 978-3-319-53321-6
082 04 - CLASSIFICATION NUMBER
Call Number 670
100 1# - AUTHOR NAME
Author De La Mota, Idalia Flores.
245 10 - TITLE STATEMENT
Title Robust Modelling and Simulation
Sub Title Integration of SIMIO with Coloured Petri Nets /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 162 p. 112 illus., 70 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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).
700 1# - AUTHOR 2
Author 2 Guasch, Antoni.
700 1# - AUTHOR 2
Author 2 Mujica Mota, Miguel.
700 1# - AUTHOR 2
Author 2 Angel Piera, Miquel.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-53321-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics—Data processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial and Production Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research, Management Science .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Modelling.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Science and Engineering.
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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