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El. knyga: Statistical Process Control in Manufacturing Practice

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Sets out the history and underlying philosophy of statistical process control, surveys the variations that happen in manufacturing processes, and shows how the technique can be used to measure the variations and optimize the process performance. Discusses planning the appropriate management system, problem solving and corrective action, continuous process improvement, and customer input and satisfaction. Appendices explain how to perform some of the operations described in the main text. Assumes a basic understanding of statistics. Includes a glossary without pronunciation. Annotation c. by Book News, Inc., Portland, Or.

Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.
Preface v
1. The History and Application of Statistical Process Control
1(32)
2. Measuring Manufacturing Processes
33(20)
3. Characterization of Manufacturing Processes
53(14)
4. Key Aspects of the Manufacturing Process
67(14)
5. Planning the Statistical Process Control Management System
81(30)
6. Problem Solving and Corrective Action
111(6)
7. Continuous Process Improvement
117(16)
8. Customer Satisfaction and Statistical Process Control
133(14)
Appendices 147(56)
1 Histogram Construction 149(6)
2 Calculating Process Variation (XXX) 155(2)
3 Constructing X-Bar and R Charts 157(6)
4 Calculating Cp 163(2)
5 Calculating Cpk 165(2)
6 Process Metrics Conversions 167(4)
7 Determining the Number of Opportunities for Error in a Process 171(2)
8 Design of Experiments 173(10)
9 Conducting a Problem-Solving Team 183(4)
10 Constructing and Using the Frequency Chart 187(2)
11 Constructing and Using the Pareto Chart 189(2)
12 Using the Fishbone Diagram for Brainstorming 191(4)
13 Using Flow Charts as a Management Tool 195(2)
14 Constructing and Using Attribute Charts 197(6)
Glossary 203(14)
Bibliography 217(4)
Index 221
Fred W. Kear is a Consultant in Manufacturing Engineering, Albuquerque, New Mexico.