Scheduling a Two-Station Multiclass Queueing Network in Heavy Traffic

Language: English

Published by Forgotten Books, 2018

0365647829 / 9780365647829

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Print on Demand. This book explores a dynamic control problem arising in determining input and sequencing decisions in a two-station multiclass queueing network. The author's solution to this problem is based on insights gleaned from Brownian network theory, which involves approximating a multiclass queueing network with a stochastic system model under balanced heavy loading conditions. In the context of the book's broader industrial engineering context, this scheduling problem is relevant to manufacturing environments where the objective is to optimally manage the flow of jobs through a network of machines. The author's proposed strategy, which prioritizes sequencing based on an index combining customer class, service times, and server utilizations, is shown to minimize average cycle time and maximize throughput. This book significantly contributes to the existing body of knowledge on scheduling in queueing networks, particularly in heavy traffic conditions. Its findings have practical implications for production planning in various industries, including manufacturing, where minimizing cycle time and maximizing throughput are crucial for efficiency and profitability. 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.

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Title
Scheduling a Two-Station Multiclass Queueing Network in Heavy Traffic
Author
Lawrence M. Wein
Publisher
Forgotten Books
Publication year
2018
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
0365647829
ISBN 13
9780365647829
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Forgotten Books

London, United Kingdom

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AbeBooks seller since June 2, 2021

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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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