Quality Improvement in the Modern Business Environment -- STAISTICAL METHODS USEFUL IN QUALITY IMPROVEMENT -- Modeling Process Quality. Inferences About Process Quality -- 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 Systems System Capability Analysis -- OTHER STATISTICAL PROCESS MONITORING AND CONTROL TECHNIQUES -- Cumulative Sum and Exponentially Weighted Moving Average Control Charts -- Other Univariate SPC Techniques -- Multivariate Process Monitoring and Control. Engineering Process Control and SPC -- PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS -- Factorial and Fractional Factorial Designs for Process Design and Improvement -- Process Optimization with Designed Experiments -- ACCEPTANCE SAMPLING -- Lot-by-Lot Acceptance Sampling for Attributes -- Other Acceptance Sampling Techniques -- Appendix. Bibliography -- Answers to Selected Exercises -- Index.
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SUMMARY OR ABSTRACT
Text of Note
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation.