ISBN-10:
0130413445
ISBN-13:
9780130413444
Pub. Date:
08/08/2006
Publisher:
Pearson
Statistical Quality Design and Control / Edition 2

Statistical Quality Design and Control / Edition 2

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Overview

Features a blend of statistical process control (SPC) and design of experiments (DOE) concepts and methods for quality design and improvement. The book places particularly strong emphasis on proper methods for data collection, control chart construction and interpretation, and fault diagnosis for process improvement.

Product Details

ISBN-13: 9780130413444
Publisher: Pearson
Publication date: 08/08/2006
Edition description: REV
Pages: 960
Product dimensions: 6.90(w) x 9.20(h) x 2.10(d)

Table of Contents

PART I: FUNDAMENTAL CONEPTS AND METHODS

Chapter 1 Evolution of Quality Design and Control

Chapter 2 Conceptual Framework for Quality: Design and Control

Chapter 3 Statistical Methods and Probability Concepts

for Data Characterization

Chapter 4 Sampling Distributions and Statistical Hypothesis Testing

Chapter 5 Conceptual Framework for Statistical Process Control

PART II: PROCESS CONTROL AND IMPROVEMENT

Chapter 6 Shewhart Control Charts for Variable Data

Chapter 7 Importance of Rational Sampling

Chapter 8 Interpretation of X and R Control Charts:

Use of Sampling Experiments

Chapter 9 Some Control Chart Methods for Individual Measurements

Chapter 10 Process Capability Assessment

Chapter 11 The Design and Analysis of Tolerances

Chapter 12 Statistical Thinking for Process Study: A Case Study

Chapter 13 Shewhart Control Charts for Attribute Data

Chapter 14 Attribute Control Chart Implementation

for Process Improvement: Two Case Studies

PART III: PRODUCT/PROCESS DESIGN AND IMPROVEMENT

Chapter 15 Conceptual Framework for Planned Experimentation

Chapter 16 Design and Analysis of Simple Comparative Experiments

Chapter 17 Design and Interpretation of 2k Factorial Experiments

Chapter 18 Analysis of Two-Level Factorial Designs

Chapter 19 Model Building for Design and Improvement

Using Two-Level Factorial Designs

Chapter 20 Two-Level Fractional Factorial Designs

Chapter 21 Sequential and Iterative Nature of Experimentation

Chapter 22 Robust Design Case Studies

Chapter 23 Modeling of Response Surfaces and Response Optimization

References and Further Readings

Appendix Tables

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