Introduction to Engineering Statistics and Lean Sigma: Statistical Quality Control and Design of Experiments and Systems

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Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid.

As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include:

• control charts and advanced control charts,

• failure mode and effects analysis,

• Taguchi methods,

• gauge R&R, and

• genetic algorithms.

The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention.

The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Author(s): Theodore T. Allen (auth.)
Edition: 2
Publisher: Springer-Verlag London
Year: 2010

Language: English
Pages: 572
Tags: Engineering Economics, Organization, Logistics, Marketing; Statistics for Business/Economics/Mathematical Finance/Insurance; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Operations Research/Decision

Front Matter....Pages i-xxiii
Introduction....Pages 1-27
Front Matter....Pages 29-29
Statistical Quality Control and Six Sigma....Pages 31-46
Define Phase and Strategy....Pages 47-75
Measure Phase and Statistical Charting....Pages 77-119
Analyze Phase....Pages 121-148
Improve or Design Phase....Pages 149-161
Control or Verify Phase....Pages 163-177
Advanced SQC Methods....Pages 179-191
SQC Case Studies....Pages 193-215
SQC Theory....Pages 217-255
Front Matter....Pages 257-257
DOE: The Jewel of Quality Engineering....Pages 259-287
DOE: Screening Using Fractional Factorials....Pages 289-313
DOE: Response Surface Methods....Pages 315-350
DOE: Robust Design....Pages 351-371
Regression....Pages 373-408
Advanced Regression and Alternatives....Pages 409-429
DOE and Regression Case Studies....Pages 431-451
DOE and Regression Theory....Pages 453-484
Front Matter....Pages 485-485
Optimization and Strategy....Pages 487-506
Tolerance Design....Pages 507-509
Front Matter....Pages 485-485
Design for Six Sigma....Pages 511-518
Lean Sigma Project Design....Pages 519-533
Back Matter....Pages 535-572