Overview
- First exact analysis of closed production systems for finite-capacity networks with general processing times
- High-quality vector graphics support the main text
- Extensive examples to add value to the content?
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 663)
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Table of contents (7 chapters)
Keywords
About this book
This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive literature review. Two approaches to the performance of closed queueing networks are presented. One is an approximate decomposition approach, while the second is the first exact approach for finite-capacity networks with general processing times. In this Markov chain approach, queueing networks are analyzed by modeling the entire system as one Markov chain. As this approach is exact, it is well-suited both as a reference quantity for approximate procedures and as extension to other queueing networks. Moreover, for the first time, the exact distribution of the time between processing starts is provided.
Authors and Affiliations
Bibliographic Information
Book Title: Performance Analysis of Closed Queueing Networks
Authors: Svenja Lagershausen
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-32214-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-32213-6Published: 24 October 2012
eBook ISBN: 978-3-642-32214-3Published: 24 October 2012
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XXIII, 169
Number of Illustrations: 44 b/w illustrations, 5 illustrations in colour
Topics: Operations Management, Operations Research/Decision Theory, Statistics and Computing/Statistics Programs