ENGLISH

Stochastic Modeling and Analysis of Manufacturing Systems

By David D. Yao (eds.) , John A. Buzacott , J. George Shanthikumar (auth.)

Book information

Publisher
Springer-Verlag New York
Year
1994
ISBN
978-1-4612-7628-9, 978-1-4612-2670-3
DOI
10.1007/978-1-4612-2670-3
Language
english
Format
PDF
Filesize
29 MB (30886022 bytes)
Series
Springer Series in Operations Research
Edition
1
Pages
360\368
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Operations Research/Decision Theory; Production/Lo

Description

Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. 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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