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Table of contents (15 chapters)
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Front Matter
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Factory Design
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Unreliable Production Lines
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Queueing Network Models of Manufacturing Systems
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Stochastic Production Planning and Assembly
Keywords
About this book
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Editors and Affiliations
Bibliographic Information
Book Title: Stochastic Modeling of Manufacturing Systems
Book Subtitle: Advances in Design, Performance Evaluation, and Control Issues
Editors: George Liberopoulos, Chrissoleon T. Papadopoulos, Barış Tan, J. M. Smith, Stanley B. Gershwin
DOI: https://doi.org/10.1007/3-540-29057-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-26579-5Published: 22 August 2005
Softcover ISBN: 978-3-642-06588-0Published: 14 October 2010
eBook ISBN: 978-3-540-29057-5Published: 12 December 2005
Edition Number: 1
Number of Pages: X, 363
Topics: Operations Management, Operations Research/Decision Theory, Engineering Economics, Organization, Logistics, Marketing