Name: Quality Improvement Through Planned Experimentation By Ronald Moen
SKU: 9780079137814
Price: 13.87 USD
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Quality Improvement Through Planned Experimentation Summary

Quality Improvement Through Planned Experimentation by Ronald Moen

The methodology engineers need to plan andconduct experiments to quantify cause-and-effect mechanisms in complex systems

Updated to include the latest in experiment design, thisbreakthrough resource offers a comprehensive framework for the sequential building of knowledge -- a model for improvement -- that is key to making improvements. Step by step, you discover the tools and properties of sound experiments, the methods of planned experiments, and their application to the design of new and improved products and services.

Case studies of experiments in action, and forms and checklists facilitate the adoption of the methods into your daily work. The Second Edition includes new and expanded coverage of how to:

* Test changes to products, processes, and systems
*Evaluate the measurement process
* Extend planned experiments to large systems
*Apply experiments to new product design

About Ronald Moen

1991 No primary address Improving Quality Through Planned Experimentaion Associates in Process Development

Foreword Preface Chapter 1-Improvement of Quality 1.1 Introduction 1.2 Improvement of Quality 1.3 Model for Improvement 1.4 Summary References Exercises Chapter 2-Testing a Change 2.1 Introduction 2.2 Prediction and Degree of Belief 2.3 Using the PDSA Cycle to Test a Change 2.4 Designing Tests of Change 2.5 Principles for Testing a Change 2.6 Analysis of data from Tests of Change 2.7 Summary References Exercises Chapter 3-Principles for Design and Analysis of Planned Experiments 3.1 Definitions 3.2 Types of Planned Experiments 3.3 Principles for Designing Analytic Studies 3.4 Tools for Experimentation 3.5 Form for Documentation of a Planned Experiment 3.6 Analysis of Data from Analytic Studies 3.7 Summary References Exercises Chapter 4-Experiments with One Factor 4.1 General Approach to One-Factor Experiments 4.2 Using the Control Chart for a One-Factor Experiment 4.3 Example of a One-Factor Design 4.4 Paired-Comparison Experiments 4.5 Randomized Block Designs 4.6 Incomplete Block Designs 4.7 Summary References Exercises Chapter 5-Experiments with More Than One Factor 5.1 Introduction to Factorial Designs 5.2 Design of Factorial Experiments 5.3 Analysis of Factorial Experiments 5.4 Summary References Exercises Chapter 6-Reducing the Size of Experiments 6.1 Introduction to Fractional Factorial Designs 6.2 Fractional Factorial Designs--Moderate Current Knowledge 6.3 Fractional Factorial Designs--Low Current Knowledge 6.4 Blocking in Factorial Designs 6.5 Summary References Exercises Chapter 7-Evaluating Sources of Variation 7.1 The Control Chart as a Nested Design 7.2 Nested Design to Study Measurement Variation 7.3 A Three-Factor Nested Experiments 7.4 Planning and Analyzing an Experiment with Nested Factors 7.5 More than Three Factors in a Nested Design 7.6 A Study with Nested and Crossed Factors 7.7 Summary Appendix 7A: Calculation of Variance Components Appendix 7B: Calculating and Combining Statistics References Exercises Chapter 8-Experiments for Special Situations 8.1 Factorial Designs with More Than Two Levels 8.2 Augmenting 2k Factorial Designs with Center Points 8.3 Three-Level Factorial Designs 8.4 Experimental Design for Interchangeable Parts 8.5 Experiments for Formulations or Mixtures 8.6 Evolutionary Operation 8.7 Experimental Designs for Complex Systems 8.8 Summary References Exercises Chapter 9-New Product Design 9.1 Introduction 9.2 Phase 0: Generate Ideas 9.3 Phase 1: Develop Concepts and Define Product 9.4 Phase 2: Test 9.5 Phase 3: Produce Product 9.6 Summary References Exercises Chapter 10-Case Studies 10.1 Case Study 1: Improving a Milling Process 10.2 Case Study 2: Redesign a Wallpaper Product Exercises Appendix A-Improvement Using Control Charts A.1 Introduction A.2 Control Charts for Individual Measurements A.3 Subgrouping A.4 Interpretation of a Control Chart A.5 Types of Control Charts A.6 Capability of a Process A.7 Planning a Control Chart A.8 Summary References Exercises Appendix B-Evaluating Measurement Systems B.1 Introduciton B.2 Studying Measurement Processes B.3 Data from a Measurement Process B.4 Monitoring and Improving a Measurement Process B.5 Using Planning Experimentation to Improve a Measurement Process B.6 Case Study: Evaluating a Measurement Process B.7 Summary References Appendix C-Form C.1 Worksheet for Documenting a PDSA Cycle C.2 Form for Documentation of a Planned Experiment C.3 Tables of Random Numbers C.4 Design Matrices for Low Current Knowledge C.5 Design Matrices for Moderate Current Knowledge C.6 Design Matrices for High Current Knowledge Gossary Index

Additional information

Sku

GOR008197959

ISBN 13

9780079137814

ISBN 10

0079137814

Title

Quality Improvement Through Planned Experimentation by Ronald Moen

Author

Ronald Moen

Condition

Used - Very Good

Binding type

Hardback

Publisher

McGraw-Hill Education - Europe

Year published

19990216

Number of pages

464

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Quality Improvement Through Planned Experimentation Ronald Moen

Quality Improvement Through Planned Experimentation by Ronald Moen

Summary

Quality Improvement Through Planned Experimentation Summary

Quality Improvement Through Planned Experimentation by Ronald Moen

About Ronald Moen

Table of Contents

Additional information

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