Includes index.

Part 1. Introduction

Quality improvement in the modern business environment

The DMAIC process

Part 2. Statistical methods useful in quality control and improvement

Modeling process quality

Inferences about process quality

Part 3. Basic methods of statistical process control and capability analysis

Methods and philosophy of statistical process control

Control charts for variables

Control charts for attributes

Process and measurement system capability analysis

Part 4. Other statistical process-monitoring and control techniques

Cumulative sum and exponentially weighted moving average control charts

Other univariate statistical process-monitoring and control techniques

Multivariate process monitoring and control

Engineering process control and SPC

Part 5. Process design and improvement with designed experiments

Factorial and fractional factorial experiments for process design and improvement

Process optimization with designed experiments

Part 6. Acceptance sampling

Lot-by-lot acceptance sampling for attributes

Other acceptance-sampling techniques