Vacation Queueing Models

Tian Naishuo Zhang Zhe George

ISBN 10: 1441941460 / ISBN 13: 9781441941466

Verlag: Springer, 2010

Beschreibung

Print on Demand pp. 400 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Bestandsnummer des Verkäufers 5275688

Bibliografische Details

• Titel: Vacation Queueing Models
• Verlag: Springer
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 1441941460
• ISBN-13: 9781441941466
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

A classical queueing model consists of three parts - arrival process, service process, and queue discipline. However, a vacation queueing model has an additional part - the vacation process which is governed by a vacation policy - that can be characterized by three aspects: 1) vacation start-up rule; 2) vacation termination rule, and 3) vacation duration distribution. Hence, vacation queueing models are an extension of classical queueing theory.

Vacation Queueing Models: Theory and Applications discusses systematically and in detail the many variations of vacation policy. By allowing servers to take vacations makes the queueing models more realistic and flexible in studying real-world waiting line systems. Integrated in the book's discussion are a variety of typical vacation model applications that include call centers with multi-task employees, customized manufacturing, telecommunication networks, maintenance activities, etc. Finally, contents are presented in a "theorem and proof" format and it is invaluable reading for operations researchers, applied mathematicians, statisticians; industrial, computer, electrical and electronics, and communication engineers; computer, management scientists; and graduate students in the above disciplines.

Críticas

From the reviews:

"This book provides a comprehensive, up-to-date treatment of various queueing systems with server vacations. ... The book can be used as a reference on vacation queueing systems by both researchers and practitioners." (Dieter Fiems, Journal of the American Statistical Association, Vol. 103 (484), December, 2008)