Heavy Traffic Analysis of Polling Systems in Tandem (Classic Reprint)
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 13.16
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book meticulously investigates the intricate workings of polling systems, a fundamental concept within the realm of queueing theory. The author delves into the fascinating interplay between tandem networks and polling systems, exploring their behavior under varying conditions. Through detailed analysis, the book unveils the inner mechanisms of these systems, providing valuable insights into their performance and efficiency. The author masterfully positions polling systems within the broader context of queueing theory, highlighting their practical applications in manufacturing and service industries. By examining the impact of setup times, different customer types, and network configurations, the book illuminates the diverse factors that shape the performance of these systems. The author's analysis unveils profound insights into the interplay between workload dynamics and customer service, demonstrating how the design and operation of polling systems can significantly impact waiting times and overall system efficiency. This book is a valuable resource for researchers, practitioners, and students seeking a deeper understanding of queueing theory and its applications in real-world scenarios. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781332879557_0
- Title
- Heavy Traffic Analysis of Polling Systems in Tandem (Classic Reprint)
- Author
- Martin I. Reiman, Lawrence M. Wein
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1332879551
- ISBN 13
- 9781332879557
- Seller catalogs
- Statistics
- Discover how a deterministic view emerges when total workloads move slowly while individual workloads sweep quickly, and how this leads to practical estimates for sojourn times.
- Learn how the model handles multiple product types, setup times, and how cycle lengths and batch sizes tend to grow downstream in a tandem network.
- See how steady-state and transient performance can be approached with a combination of averaging principles and deterministic analysis, with guidance on when product-form results apply.
- Explore generalizations, including unequal service rates and networks with several stations and customer types, plus insights from simulation comparisons.
Ideal for readers of manufacturing analytics and operations research who want a rigorous yet accessible view of how heavy-traffic theory informs queueing networks in tandem settings.
"Synopsis" may belong to another edition of this title.
Forgotten Books
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
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