Hybrid Simulation Models of Production Networks

Yannis A. Phillis

ISBN 10: 0306465922 / ISBN 13: 9780306465925

Published by Springer US, Springer US, 2001

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications.

Seller Inventory # 9780306465925

Bibliographic Details

• Title: Hybrid Simulation Models of Production Networks
• Publisher: Springer US, Springer US
• Publication Date: 2001
• Language: English
• ISBN 10: 0306465922
• ISBN 13: 9780306465925
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 17D millimeters 260 millimeters width by 183 millimeters height by 17 millimeters depth
• Weight: 605 grams

About this title

Synopsis

Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications.