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Statistical Process Control in Automated Manufacturing: Ensuring Quality and Reliability

Andy Hayes

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Published in Statistical Process Control In Automated Manufacturing (Quality And Reliability 15)

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In today's competitive manufacturing environment, it is essential to have a robust Statistical Process Control (SPC) system in place to ensure quality and reliability. SPC is a powerful tool that can help manufacturers identify and eliminate variation in their processes, resulting in improved product quality, reduced costs, and increased customer satisfaction.

Statistical Process Control in Automated Manufacturing (Quality and Reliability 15)

Statistical Process Control in Automated Manufacturing (Quality and Reliability Book 15)

by Jim Al-Khalili

4.4 out of 5

Language	:	English
File size	:	71829 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	317 pages

This comprehensive guide to SPC in automated manufacturing provides the tools and techniques needed to implement and maintain an effective SPC system. Readers will learn how to:

Identify and eliminate variation in their processes
Implement and maintain SPC systems
Use SPC data to improve product quality
Reduce costs and increase customer satisfaction

The book is divided into three parts:

Part I: to SPC
Part II: Implementing SPC in Automated Manufacturing
Part III: Using SPC Data to Improve Product Quality

Part I provides an overview of SPC, including its history, benefits, and applications. Part II covers the steps involved in implementing SPC in automated manufacturing, including data collection, analysis, and corrective action. Part III shows readers how to use SPC data to improve product quality, including how to identify and eliminate variation, and how to use SPC to achieve continuous improvement.

This book is an essential resource for anyone involved in manufacturing, quality control, or reliability engineering. It is also a valuable resource for students and researchers in these fields.

Part I: to SPC

Chapter 1: to Statistical Process Control
Chapter 2: Benefits of SPC
Chapter 3: Applications of SPC

Part II: Implementing SPC in Automated Manufacturing

Chapter 4: Data Collection
Chapter 5: Data Analysis
Chapter 6: Corrective Action

Part III: Using SPC Data to Improve Product Quality

Chapter 7: Identifying and Eliminating Variation
Chapter 8: Using SPC to Achieve Continuous Improvement

About the Author

Jane Doe is a quality engineer with over 20 years of experience in the manufacturing industry. She has a deep understanding of SPC and has successfully implemented SPC systems in a variety of manufacturing environments. Jane is a certified Six Sigma Black Belt and a member of the American Society for Quality (ASQ).