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110402s2009 xxu| s |||| 0|eng d |
| 020 |
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|a 9780387755793
|9 978-0-387-75579-3
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| 024 |
7 |
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|a 10.1007/978-0-387-75579-3
|2 doi
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| 100 |
1 |
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|a Li, Jingshan.
|e author.
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| 245 |
1 |
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|a Production Systems Engineering
|c by Jingshan Li, Semyon M. Meerkov.
|h [electronic resource] /
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| 264 |
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|a Boston, MA :
|b Springer US,
|c 2009.
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| 300 |
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|a XXX, 666p. 299 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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|a Introduction -- Mathematical tools: elements of probability theory -- Mathematical modeling of production systems -- Analysis of Bernoulli lines -- Continuous improvement of Bernoulli lines -- Design of lean Bernoulli lines -- Closed Bernoulli lines -- Product quality in Bernoulli lines -- Customer demand satisfaction in Bernoulli lines -- Transient behavior of Bernoulli lines -- Analysis of exponential lines -- Analysis of non-exponential lines -- Improvement of continuous lines -- Design of lean continuous lines -- Customer demand satisfaction in continuous lines -- Assembly systems with Bernoulli model of machine reliability -- Assembly systems with continous time models of machine reliability -- Summary of main facts of production systems engineering -- PSE Toolbox -- Proofs.
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| 520 |
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|a 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 text, the first devoted exclusively to PSE, is intended for senior and first year graduate students interested in manufacturing, as well as engineers involved in the operation, management, and design of production systems. Drawing upon years of research and practical experience and using numerous examples and illustrations, Jingshan Li and Semyon Meerkov cover: Methods for mathematical modeling of production systems Techniques for designing continuous improvement projects with predictable results Quantitative methods for selecting lean buffering Rigorous techniques for identifying bottleneck machines and bottleneck buffers Product quality Methods for analysis of transient behavior of production lines Techniques for measurement-based management of production systems Numerous case studies which illustrate practical application of PSE techniques The PSE Toolbox, which implements the algorithms developed in the text A demo of the PSE Toolbox, which is useful as a learning tool for students and practicing engineers, can be found at www.ProductionSystemsEngineering.com
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| 650 |
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|a Engineering.
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| 650 |
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|a Industrial engineering.
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| 650 |
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|a Engineering economy.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Industrial and Production Engineering.
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| 650 |
2 |
4 |
|a Engineering Economics, Organization, Logistics, Marketing.
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| 650 |
2 |
4 |
|a Mathematical Modeling and Industrial Mathematics.
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| 700 |
1 |
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|a Meerkov, Semyon M.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9780387755786
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| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-75579-3
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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