Quality Improvement Through Planned Experimentation 3/e

Name: Quality Improvement Through Planned Experimentation 3/e
Price: 91.16 USD
Availability: InStock
ISBN: 9780071759663

ISBN-10: 0071759662

ISBN-13: 9780071759663

Edition: 3rd 2012

Authors: Ronald Moen, Thomas W. Nolan, Lloyd P. Provost

List price: $153.00

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Book details

List price: $153.00
Edition: 3rd
Copyright year: 2012
Publisher: McGraw-Hill Education
Publication date: 7/17/2012
Binding: Hardcover
Pages: 544
Size: 6.20" wide x 9.30" long x 1.20" tall
Weight: 2.024

#60;b#62;Gerald J. Langley#60;/b#62; is a statistician, author, and consultant, and co-founder of Associates in Process Improvement (API), a consulting firm that specializes in the improvement of quality and productivity.#60;p#62;#60;b#62;Ronald D. Moen#60;/b#62; is a statistician, consultant, and teacher to industry, government, and education. He is co-founder of API.#60;p#62;#60;b#62;Kevin M. Nolan#60;/b#62; is a statistician, author, and consultant at API, where he focuses on developing methods and assisting organizations to accelerate their rate of improvement in quality and productivity.#60;p#62;#60;b#62;Dr. Thomas W. Nolan#60;/b#62; is a statistician, author, and consultant,…



Foreword


Preface


Acknowledgments



Improvement of Quality



Introduction



Building Knowledge and the Scientific Method



Defining Quality



Model for Improvement



Sequential Experimentation Using the PDSA Cycle



Summary


References


Exercises



Principles for Design and Analysis of Planned Experiments



Introduction and Definitions



Types of Planned Experiments



Principles for Designing Analytic Studies



Tools for Experimentation



Form for Documentation of a Planned Experiment



Analysis of Data from Analytic Studies



Summary


References


Exercises



Experiments with One Factor



General Approach to One-Factor Experiments



Using Run Charts for a One-Factor Design



Using Shewhart Charts for One-Factor Experiments



Paired-Comparison Experiments



Randomized Block Designs



Incomplete Block Designs



Summary


References


Exercises



Experiments with More Than One Factor



Introduction to Factorial Designs



Design of Factorial Experiments



Advanced Topics in the Analysis of Factorial Experiments



Summary


References


Exercises



Reducing the Size of Experiments



Introduction to Fractional Factorial Designs



Fractional Factorial Designs-Moderate Current Knowledge



Fractional Factorial Designs-Low Current Knowledge



Using Blocking to Design a Sequence of Experiments



Summary


Appendix: Development of Other Blocking Arrangements


References


Exercises



Evaluating Sources of Variation



Applications of Nested Designs



Planning and Analyzing an Experiment with Nested Factors



More Complex Nested Designs



Summary



Calculation of Variance Components



Calculating and Combining Statistics (X, S, or R)


References


Exercises



Sequential Experimentation-A Case Study



Improving a Milling Process-Getting Started



The First Improvement Cycle: Current Performance of the Mills



The Second PDSA Cycle: Sources of Variation



The Third PDSA Cycle: Evaluating Mill Cutter Vendors



The Fourth PDSA Cycle: Screening Process Variables



The Fifth PDSA Cycle: Evaluate Effect of Improvements on the Mill Process



The Sixth PDSA Cycle: Evaluating Important Factors



The Seventh PDSA Cycle: Determining Optimum Levels



The Eighth PDSA Cycle: Confirmation of Improvements



Final Actions of the Mill Improvement Team


Exercises



Using a Time Series Response Variable



Incorporating Experimental Patterns in a Time Series



Shewhart Charts



Designs for Sequential Experimentation Using Time Series Response Variables



Summary


References


Exercises



Experiments with Factors at More Than Two Levels



Factorial Designs with More Than Two Levels



Augmenting 2k Factorial Designs with Center Points



Three-Level Designs for Quantitative Factors



Experiments for Formulations or Mixtures



Experimental Designs for Complex Systems



Summary


References


Exercises



Applications in Health Care



Introduction



Applications



Summary


References


Exercises



New Product Design



Introduction



Phase 0: Generate Ideas



Phase 1: Develop Concepts and Define Product



Phase 2: Test



Phase 3: Produce Product



Summary


References


Exercises



Evaluating Measurement Systems


Glossary


Index