Overview
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (8 chapters)
Keywords
About this book
The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
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Bibliographic Information
Book Title: Stochastic Modeling and Analysis of Manufacturing Systems
Editors: David D. Yao
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/978-1-4612-2670-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1994
Hardcover ISBN: 978-0-387-94319-0Due: 09 September 1994
Softcover ISBN: 978-1-4612-7628-9Published: 12 August 2013
eBook ISBN: 978-1-4612-2670-3Published: 06 December 2012
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 1
Number of Pages: XV, 360
Number of Illustrations: 7 illustrations in colour
Topics: Business and Management, general, Operations Research/Decision Theory, Operations Management, Economic Theory/Quantitative Economics/Mathematical Methods