Name: Robust Modelling and Simulation: Integration of Simio with Coloured Petri Nets (en Inglés)
Price: 712.34 PEN
Availability: InStock
Author: De La Mota, Idalia Flores ; Guasch, Antoni ; Mujica Mota, Miguel
ISBN: 9783319533209

portada Robust Modelling and Simulation: Integration of Simio with Coloured Petri Nets (en Inglés)

Formato

Libro Físico

Autor

Miguel Mujica Mota

Idalia Flores De La Mota

Antoni Guasch

Editorial

Springer

Idioma

Inglés

N° páginas

162

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.1 cm

Peso

0.43 kg.

ISBN13

9783319533209

Categorías

Investigación operativa
Producción e ingeniería industrial
Modelos y simulaciones por ordenador

Robust Modelling and Simulation: Integration of Simio with Coloured Petri Nets (en Inglés)

Miguel Mujica Mota (Autor) · Idalia Flores De La Mota (Autor) · Antoni Guasch (Autor) · Springer · Tapa Dura

Libro Nuevo

S/ 712,34

S/ 1.187,23

Ahorras: S/ 474,89

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 18 de Julio y el Lunes 29 de Julio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Robust Modelling and Simulation: Integration of Simio with Coloured Petri Nets (en Inglés)"

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).