- Description
- Feature
- Contents
As you read through this new text, you'll discover the importance of Statistical Quaity Control(SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly".
The rich set of examples and problems integrated throghout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them.
Provides a coherent presentation of the role statistics in quality assurance.
Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader.
Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets.
The implementation of statistical tools is user-friendly.
The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
Chapter 1 : Introduction
Chapter 2 : Simple Quality Assurance Tools
Chapter 3 : Process Monitoring Part 1: Basics
Chapter 4 : Process Monitoring Part 2: Additional Methods
Chapter 5 : Process Characterization and Capability Analysis
Chapter 6 : Experimental Design and Analysis for Process Improvement Part 1: Basics
Chapter 7 : Experimental Design and Analysis for Process Improvement Part 2: Advanced Topics
Chapter 8 : Sampling Inspection
Chapter 9 : The TQM Environment
Appendix
Bibliography
Index
