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Statistical Quality Control. A modern introduction. 6° Edic.

Statistical Quality Control. A modern introduction. 6° Edic.

Autor:

Editorial:
Wiley Student Edition (India)

Año de edición:

ISBN:
9788126525065

Páginas:
756

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Descripción

Libro encuadernado a nuevo. Impecable. Esta edición, si bien publicada en la India, es la misma edición que apareció en EEUU.

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International Student Edition

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.
 
Part I: Introduction
Chapter 1: Quality Improvement in the Modern Business Environment
Chapter 2: The DMAIC Process
Part II: Statistical Methods Useful in Quality Control and Improvement
Chapter 3: Modeling Process Quality
Chapter 4: Inferences about Process Quality
Part III: Basic Methods of Statistical Process Control and Capability Analysis
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
Part IV: Other Statistical Process-Monitoring and Control Techniques
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
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements
Chapter 14: Process Optimization and Designed Experiments
Part VI: Acceptance Sampling
Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes
Chapter 16: Other Acceptance Sampling Techniques
Appendix
 
Dr. Douglas C. Montgomery Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering.
Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

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