| Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering) |  | Creator: David D. Yao Publisher: Springer
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Media: Hardcover Edition: 1 Pages: 360 Number Of Items: 1 Shipping Weight (lbs): 1.5 Dimensions (in): 9.5 x 6.3 x 1.3
ISBN: 0387943196 Dewey Decimal Number: 658.8015118 EAN: 9780387943190 ASIN: 0387943196
Publication Date: September 9, 1994 Availability: Usually ships in 1-2 business days
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Product 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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