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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
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
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
Content Level »Research
Keywords »Closed lines and lines with rework - Manufacturing - Systems Engineering - assembly systems - bottleneck machines and buffers - finite buffers - lean buffering - production - quality/quantity coupling - serial lines - transients of throughput - unreliable machines
Part I: Background Material and Mathematical Modeling: Introduction.- Mathematical tools: elements of probability theory.- Mathematical modeling of production systems.- Part II: Serial Production Lines with Bernoulli Model of Machine Reliability.- Analysis of Bernoulli lines.- Continuous improvement of Bernoulli lines.- Design of lean Bernoulli lines.- Customer demand satisfaction in bernoulli lines.- Transient behavior of Bernoulli lines.- Closed Bernoulli lines.- Part III: Serial Production Lines with Continuous Time Models of Machine Reliability.- Analysis of exponential lines.- Analysis of non-exponential lines.- Improvement of continuous lines.- Design of lean continuous lines.- Customer demand satisfaction in continuous lines.- Part IV: Summary, Toolbox and Appendices.- Summary of main principles of production systems engineering.- Production systems engineering toolbox.