PDF On Jan 1, 2012, Fred Spiring and others published Introduction to Statistical Quality Control. We use cookies to make interactions with our website easy and meaningful, to better understand.
Introduction To Statistical Quality Control 7th Edition
Find more information about:ISBN: 32661221OCLC Number:56729567Description:xvi, 759 pages: illustrations; 26 cmContents:Chapter 1. Quality Improvement in the Modern Business Environment -PART I: STATISTICAL METHODS USEFUL IN QUALITY CONTROL AND IMPROVEMENT -Chapter 2. Modeling Process Quality -Chapter 3. Statistics and Sampling Distributions -PART II: BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS -Chapter 4. Methods and Philosophy of Statistical Process Control -Chapter 5. Control Charts for Variables -Chapter 6. Control Charts for Attributes -Chapter 7.Process and Measurement System Capability Analysis -PART III: OTHER STATISTICAL PROCESS-MONITORING AND CONTROL TECHNIQUES -Chapter 8.
Cumulative Sum and Exponentially Weighted Moving Average Control Charts -Chapter 9. Other Univariate Statistical Process Monitoring and Control Techniques -Chapter 10. Multivariate Process Monitoring and Control -Chapter 11. Engineering Process Control and SPC -PART IV: PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS -Chapter 12. Factorial and Fractional Factorial Experiments for Process Design and Improvement -Chapter 13. Process Optimization with Designed Experiments -PART V: ACCEPTANCE SAMPLING -Chapter 14.
Lot-by-Lot Acceptance Sampling for Attributes -Chapter 15. Other Acceptance-Sampling Techniques -Appendices: Answers to Selected Problems.Responsibility:Douglas C. Montgomery.More information:.Abstract.
Statistical Quality Control Montgomery
The modern practice of statistical quality control is explored in this text which provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, this revised and expanded edition incorporates numerous changes, including a more detailed discussion of the basic SPC problem- solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially- weighted, moving-average control charts, and a new section on process improvement with designed experiments.