Montgomery, Douglas C. <br/><br/>
Statistical quality control :   a modern introduction 
Douglas C Montgomery 
 - 6th ed. Wiley Student Edition. 
 - New Delhi :  John Wiley & Sons,   2009. 
 - xiv, 734 pages :   illustrations ;   25 cm 
<br/><br/> Chapter 1: Quality Improvement in the Modern Business Environment<br/>  Chapter 2: The DMAIC Process  Chapter 3: Modeling Process Quality  Chapter 4: Inferences about Process Quality  Chapter 5: Methods and Philosophy of Statistical Process Control  Chapter 6: Control Charts for Variables  Chapter 7: Control Charts for Attributes  Chapter 8: Process and Measurement System Capability Analysis  Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts  Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques  Chapter 11: Multivariate Process Monitoring and Control  Chapter 12: Engineering Process Control and SPC  Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements  Chapter 14: Process Optimization and Designed Experiments  Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes  Chapter 16: Other Acceptance Sampling Techniques 
<br/><br/> Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.<br/><br/>  
<br/><br/><label>ISBN: </label>9788126525065 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Quality control--Statistical methods<br/>Process control--Statistical methods
<br/><br/><label>Dewey Class. No.: </label>658.5620  / MON