Queueing Models in Industry and Business

Aliakbar Montazer Haghighi and Dimitar P. Mishev
Prairie View A&M University, Prairie View, TX, USA

Series: Business Issues, Competition and Entrepreneurship
BISAC: BUS008000

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Studies on queueing models and their publication in professional journals and textbooks have been sparse over the past eleven decades. Collections of some of these studies have appeared either as single volumes or just chapters of single volumes and/or monographs. This book is an attempt to present some queuing models, especially those applicable in business and industry, in a style between a monograph and a textbook. Also the need of researchers and practitioners for a handbook-type text and the current lack of it explain the need for a book of this kind.

Most of the basic terminologies and concepts that appear throughout the text are introduced in a systematic way in the first two chapters; nevertheless, previous exposition to a first course in probability and statistics is advised for later chapters. (Imprint: Nova)

Preface

Chapter 1 Preliminaries; pp. 1-29

Chapter 2 Birth and Death Process; pp. 31-66

Chapter 3 Single-Server Queues; pp. 67-147

Chapter 4 Parallel Queueing Models; pp. 149-234

Chapter 5 Tandem Queueing Models; pp. 235-270

Chapter 6 A Delayed-Service Queueing Model, and Feedback Queues with Task Splitting and Blocking; pp. 271-349

Exercises

Appendix

References

Index

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