Overview
- Describes methods for mathematical modeling of production systems
- Provides techniques for designing continuous improvement projects with predictable results
- Offers quantitative methods for selecting lean buffering
- Offers measurement-based techniques for identifying bottleneck machines and bottleneck buffers
- Addresses the issue of product quality
- Describes methods for analysis of transient behavior of production lines
- Offers techniques for measurement-based management of production systems
- Describes a software package, the PSE Toolbox, which implements algorithms developed
- Includes numerous case studies, which illustrate the topics considered and, on occasion, serve as problems for homework assignments
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About this book
Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design. This volume is the first ever textbook devoted exclusively to PSE. It is intended for senior undergraduate and first year graduate students interested in manufacturing. The development is first principle-based rather than recipe-based. The only prerequisite is elementary Probability Theory; however, all necessary probability facts are reviewed in an introductory chapter. Using a system-theoretic approach, this textbook provides analytical solutions for the following problems: mathematical modeling of production systems, performance analysis, constrained improvability, bottleneck identification and elimination, lean buffer design, product quality, customer demand satisfaction, transient behavior, and system-theoretic properties. Numerous case studies are presented. In addition, the so-called PSE Toolbox, which implements the algorithms developed, is described. The volume includes numerous case studies and problems for homework assignment.
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Table of contents (20 chapters)
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Front Matter
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BACKGROUND MATERIAL AND MATHEMATICAL MODELING.
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Front Matter
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SERIAL PRODUCTION LINES WITH BERNOULLI MODEL OF MACHINE RELIABILITY.
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Front Matter
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SERIAL PRODUCTION LINES WITH CONTINUOUS TIME MODELS OF MACHINE RELIABILITY
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Front Matter
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ASSEMBLY SYSTEMS
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Front Matter
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Authors and Affiliations
Bibliographic Information
Book Title: Production Systems Engineering
Authors: Jingshan Li, Semyon M. Meerkov
DOI: https://doi.org/10.1007/978-0-387-75579-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-75578-6Published: 02 December 2008
Softcover ISBN: 978-1-4419-4537-2Published: 05 November 2010
eBook ISBN: 978-0-387-75579-3Published: 13 November 2008
Edition Number: 1
Number of Pages: XXX, 666
Number of Illustrations: 299 b/w illustrations
Topics: Industrial and Production Engineering, Engineering Economics, Organization, Logistics, Marketing, Mathematical Modeling and Industrial Mathematics