Introduction to engineering statistics and lean sigma statistical quality control and design of experiments and systems /
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 o...
| Main Author: | Allen, Theodore T. |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
©2010.
London ; New York : [2010] |
| Physical Description: |
1 online resource (xxiii, 572 pages) : illustrations. |
| Edition: | 2nd ed. |
| Subjects: |
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| 100 | 1 | |a Allen, Theodore T. | |
| 245 | 1 | 0 | |a Introduction to engineering statistics and lean sigma : |b statistical quality control and design of experiments and systems / |c Theodore T. Allen. |
| 250 | |a 2nd ed. | ||
| 260 | |a London ; |a New York : |b Springer, |c ©2010. | ||
| 264 | 1 | |a London ; |a New York : |b Springer, |c [2010] | |
| 264 | 4 | |c ©2010. | |
| 300 | |a 1 online resource (xxiii, 572 pages) : |b illustrations. | ||
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| 520 | |a 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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 the 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. | ||
| 520 | |a 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. --Book Jacket. | ||
| 505 | 0 | |a Statistical Quality Control -- Statistical Quality Control and Six Sigma -- Define Phase and Strategy -- Measure Phase and Statistical Charting -- Analyze Phase -- Improve or Design Phase -- Control or Verify Phase -- Advanced SQC Methods -- SQC Case Studies -- SQC Theory -- Design of Experiments (DOE) and Regression -- DOE: The Jewel of Quality Engineering -- DOE: Screening Using Fractional Factorials -- DOE: Response Surface Methods -- DOE: Robust Design -- Regression -- Advanced Regression and Alternatives -- DOE and Regression Case Studies -- DOE and Regression Theory -- Optimization and Strategy -- Optimization and Strategy -- Tolerance Design -- Design for Six Sigma -- Lean Sigma Project Design. | |
| 650 | 0 | |a Six sigma (Quality control standard) | |
| 650 | 0 | |a Engineering |x Statistical methods. | |
| 650 | 0 | |a Experimental design. | |
| 650 | 6 | |a Six Sigma. | |
| 650 | 6 | |a Ingénierie |x Méthodes statistiques. | |
| 650 | 6 | |a Plan d'expérience. | |
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| 650 | 7 | |a Experimental design. |2 fast. | |
| 650 | 7 | |a Six sigma (Quality control standard) |2 fast. | |
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