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Statistical quality control : a modern introduction

Author: Douglas C Montgomery
Publisher: Hoboken, N.J. : John Wiley & Sons, ©2009.
Edition/Format:   Book : English : 6th edView all editions and formats
Database:WorldCat
Summary:

* Comprehensive coverage of the subject from basic principles to state-of-the-art applications. * Emphasis on statistical techniques, as well as a strong engineering and management orientation. *  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Douglas C Montgomery
ISBN: 9780470233979 0470233974
OCLC Number: 244727396
Notes: Previous ed.: 2005.
"International student version."
Description: xiv, 734 p. : col. ill. ; 26 cm.
Contents: 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
Responsibility: Douglas C. Montgomery.

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