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Table of Contents

Оглавление

Cover

Title Page

Copyright Page

Dedication Page

Preface Audience Topics Covered in This Book Approach Hallmark Features Student Resources Instructor Resources Errata Acknowledgments

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1 Quality Improvement and Management 1.1 Introduction 1.2 Statistical Quality Control 1.3 Implementing Quality Improvement 1.4 Managing Quality Improvement 1.5 Conclusion

2 Basic Concepts of the Six Sigma Methodology 2.1 Introduction 2.2 What Is Six Sigma? 2.3 Is Six Sigma New? 2.4 Quality Tools Used in Six Sigma 2.5 Six Sigma Benefits and Criticism Review Practice Problems

3 Describing Quantitative and Qualitative Data 3.1 Introduction 3.2 Classification of Various Types of Data 3.3 Analyzing Data Using Graphical Tools 3.4 Describing Data Graphically 3.5 Analyzing Data Using Numerical Tools 3.6 Some Important Probability Distributions Review Practice Problems

10  4 Sampling Methods 4.1 Introduction 4.2 Basic Concepts of Sampling 4.3 Simple Random Sampling 4.4 Stratified Random Sampling 4.5 Systematic Random Sampling 4.6 Cluster Random Sampling Review Practice Problems

11  5 Phase I Quality Control Charts for Variables 5.1 Introduction 5.2 Basic Definition of Quality and Its Benefits 5.3 Statistical Process Control 5.4 Control Charts for Variables 5.5 Shewhart and R Control Charts 5.6 Shewhart and R Control Charts When the Process Mean and Standard Deviation are Known 5.7 Shewhart and R Control Charts for Individual Observations 5.8 Shewhart and S Control Charts with Equal Sample Sizes 5.9 Shewhart and S Control Charts with Variable Sample Sizes 5.10 Process Capability Review Practice Problems

12  6 Phase I Control Charts for Attributes 6.1 Introduction 6.2 Control Charts for Attributes 6.3 The p Chart: Control Charts for Nonconforming Fractions with Constant Sample Sizes 6.4 The p Chart: Control Chart for Nonconforming Fractions with Variable Samples Sizes 6.5 The np Chart: Control Charts for the Number of Nonconforming Units 6.6 The c Control Chart – Control Charts for Nonconformities per Sample 6.7 The u Chart

13  7 Phase II Quality Control Charts for Detecting Small Shifts 7.1 Introduction 7.2 Basic Concepts of CUSUM Control Charts 7.3 Designing a CUSUM Control Chart 7.4 Moving Average (MA) Control Charts 7.5 Exponentially Weighted Moving Average (EWMA) Control Charts Review Practice Problems

14  8 Process and Measurement System Capability Analysis 8.1 Introduction 8.2 Development of Process Capability Indices 8.3 Various Process Capability Indices 8.4 Pre‐control 8.5 Measurement System Capability Analysis Review Practice Problems

15  9 Acceptance Sampling Plans 9.1 Introduction 9.2 The Intent of Acceptance Sampling Plans 9.3 Sampling Inspection vs. 100% Inspection 9.4 Classification of Sampling Plans 9.5 Acceptance Sampling by Attributes 9.6 Single Sampling Plans for Attributes 9.7 Other Types of Sampling Plans for Attributes 9.8 ANSI/ASQ Z1.4‐2003 Sampling Standard and Plans 9.9 Dodge‐Romig Tables 9.10 ANSI/ASQ Z1.9‐2003 Acceptance Sampling Plans by Variables 9.11 Continuous‐Sampling Plans Review Practice Problems

16  10 Computer Resources to Support SQC: Minitab, R, JMP, and Python 9.1 Introduction

17  Appendix A: Statistical Tables

18  Appendix B: Answers to Selected Practice Problems Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9

19  Bibliography

20  Index

21  End User License Agreement

Statistical Quality Control

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