9781402073038-1402073038-Analysis and Modeling of Manufacturing Systems (International Series in Operations Research & Management Science, 60)

Analysis and Modeling of Manufacturing Systems (International Series in Operations Research & Management Science, 60)

ISBN-13: 9781402073038
ISBN-10: 1402073038
Edition: 2003
Author: J. MacGregor Smith, Stanley B. Gershwin, Yves Dallery, Chrissoleon T. Papadopoulos
Publication date: 2002
Publisher: Springer
Format: Hardcover 452 pages
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ISBN-13: 9781402073038
ISBN-10: 1402073038
Edition: 2003
Author: J. MacGregor Smith, Stanley B. Gershwin, Yves Dallery, Chrissoleon T. Papadopoulos
Publication date: 2002
Publisher: Springer
Format: Hardcover 452 pages

Summary

Analysis and Modeling of Manufacturing Systems (International Series in Operations Research & Management Science, 60) (ISBN-13: 9781402073038 and ISBN-10: 1402073038), written by authors J. MacGregor Smith, Stanley B. Gershwin, Yves Dallery, Chrissoleon T. Papadopoulos, was published by Springer in 2002. With an overall rating of 3.6 stars, it's a notable title among other Management Science (Management & Leadership, Production & Operations, Operations Research, Processes & Infrastructure, History & Philosophy, Applied, Mathematics) books. You can easily purchase or rent Analysis and Modeling of Manufacturing Systems (International Series in Operations Research & Management Science, 60) (Hardcover) from BooksRun, along with many other new and used Management Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. 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.

Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.

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