Statistical Process Control in Industry

During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC.
This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC.
Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.

Zusammenfassung
It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.

Inhalt
Foreword. Introduction. 1. SPC: A Historical Perspective. 2. SPC as Part of Quality Policy. 3. Implementation Plan for SPC. 4. Introducing SPC with Teams. 5. The Plan of Action for Introducing SPC. 6. Principles of the Shewhart Type of Control Charts. 7. Designing Control Charts to Support Improvement. 8. Control Charts. 9. Tools for Solving Problems. 10. From Control to Assurance. 11. Software for SPC. 12. SPC Competition and Self-Evaluaton. References. Index.