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

ISBN 10: 0387943196 / ISBN 13: 9780387943190

Published by Springer, 1994

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

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Bibliographic Details

• Title: Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
• Publisher: Springer
• Publication Date: 1994
• Language: English
• ISBN 10: 0387943196
• ISBN 13: 9780387943190
• Binding: Hardcover
• Condition: good

About this title

Synopsis

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.

Review

"This is a very well-written book, providing a good balance between modeling and mathematical rigor....I enjoyed reading this book and will undoubtedly use it myself; I would also highly recommend it to my graduate students." - Technometrics