Stochastic Modeling and Analysis of Manufacturing Systems (Paperback, Softcover reprint of the original 1st ed. 1994)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Operations Research and Financial Engineering
Release date:	August 2013
First published:	1994
Editors:	David D. Yao
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	360
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-1-4612-7628-9
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Management of specific areas > General
LSN:	1-4612-7628-4
Barcode:	9781461276289

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!