E-Book Overview
The Seventh Edition of Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.
E-Book Content
This page is intentionally left blank Other Wiley books by Douglas C. Montgomery Website: www.wiley.com/college/montgomery Engineering Statistics, Fifth Edition by D. C. Montgomery, G. C. Runger, and N. F. Hubele Introduction to engineering statistics, with topical coverage appropriate for a one-semester course. A modest mathematical level and an applied approach. Applied Statistics and Probability for Engineers, Fifth Edition by D. C. Montgomery and G. C. Runger Introduction to engineering statistics, with topical coverage appropriate for either a one- or twosemester course. An applied approach to solving real-world engineering problems. Probability and Statistics in Engineering, Fourth Edition by W. W. Hines, D. C. Montgomery, D. M. Goldsman, and C. M. Borror Website: www.wiley.com/college/hines For a first two-semester course in applied probability and statistics for undergraduate students, or a one-semester refresher for graduate students, covering probability from the start. Design and Analysis of Experiments, Seventh Edition by Douglas C. Montgomery An introduction to the design and analysis of experiments, with the modest prerequisite of a first course in statistical methods. Introduction to Linear Regression Analysis, Fifth Edition by D. C. Montgomery, E. A. Peck, and G. G. Vining A comprehensive and thoroughly up-to-date look at regression analysis, still the most widely used technique in statistics today. Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Third Edition by R. H. Myers, D. C. Montgomery, and C. M. Anderson-Cook Website: www.wiley.com/college/myers The exploration and optimization of response surfaces for graduate courses in experimental design and for applied statisticians, engineers, and chemical and physical scientists. Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition by R. H. Myers, D. C. Montgomery, G. G. Vining, and T. J. Robinson An introductory text or reference on Generalized Linear Models (GLMs). The range of theoretical topics and applications appeals both to students and practicing professionals. Introduction to Time Series Analysis and Forecasting by Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci Methods for modeling and analyzing time series data, to draw inferences about the data and generate forecasts useful to the decision maker. Minitab and SAS are used to illustrate how the methods are implemented in practice. For advanced undergrad/first-year graduate, with a prerequisite of basic statistical methods. Portions of the book require calculus and matrix algebra. SPC Calculations for Control Limits Notation: UCL LCL CL n PCR σˆ –x Upper Control Limit Lower Control Limit Center Line Sample Size Process Capability Ratio Process Standard Deviation Average of Measurements Average of Averages R Range – R Average of Ranges USL Upper Specification Limit LSL Lower Specification Limit =x <