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Download Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering) fb2, epub

by David D. Yao

Download Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering) fb2, epub

ISBN: 0387943196
Author: David D. Yao
Language: English
Publisher: Springer; 1994 edition (September 9, 1994)
Pages: 360
Category: Marketing & Sales
Subcategory: Money
Rating: 4.9
Votes: 836
Size Fb2: 1725 kb
Size ePub: 1862 kb
Size Djvu: 1208 kb
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Bibliographic Information. Stochastic Modeling and Analysis of Manufacturing Systems. David D. Yao. Series Title.

Manufacturing systems have become increasingly complex over recent years. Bibliographic Information.

Manufacturing industries are devoted to producing high-quality products in. .Hardcover: 355 pages.

Manufacturing industries are devoted to producing high-quality products in the most economical and timely manner. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques.

modeling manufacturing systems. By means of examples it is illustrated how certain modeling. techniques can be used to derive models that can be used for analysis and/or control. Also, references are provided that can be used as a starting point for getting more details.

Read instantly in your browser. by Alan J. King (Author),‎ Stein W. Wallace (Author). this textbook can indeed be very useful for mathematics students as a methodological guide to the applications of stochastic programming methods. The structure of the textbook is well adapted to teaching purposes.

Principle among these are: Modeling and Analysis of Manufacturing Systems by Askin and Stan-dridge . tion and operations management. Thus, it does not provide the depth and breath of analytical modeling procedures that are presented in this text.

tion and operations management.

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems

Printer: Opaque this. Yao and Zheng: Dynamic Control of Quality in.

Printer: Opaque this. Altiok: Performance Analysis of Manufacturing Systems. Birge and Louveaux: Introduction to Stochastic Programming. Systems: Coordination and Optimization. Yeung and Petrosyan: Cooperative Stochastic Differential Games.

1 2 3 4 5 6 7 8 9 10 11 12. Qty: Get In-Stock Alert.

These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events.

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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