Introduction to Statistical Quality Control

Abstract

Quality Improvement in the Modern Business Environment.STAISTICAL METHODS USEFUL IN QUALITY IMPROVEMENT.Modeling Process Quality.Inferences About Process Quality.BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS.Methods and Philosophy of Statistical Process Control.Control Charts for Variables.Control Charts for Attributes.Process and Measurement Systems System Capability Analysis.OTHER STATISTICAL PROCESS MONITORING AND CONTROL TECHNIQUES.Cumulative Sum and Exponentially Weighted Moving Average Control Charts.Other Univariate SPC Techniques.Multivariate Process Monitoring and Control.Engineering Process Control and SPC.PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS.Factorial and Fractional Factorial Designs for Process Design and Improvement.Process Optimization with Designed Experiments.ACCEPTANCE SAMPLING.Lot--by--Lot Acceptance Sampling for Attributes.Other Acceptance Sampling Techniques.Appendix.Bibliography.Answers to Selected Exercises.Index.

Keywords

Quality (philosophy)Statistical process controlStatisticsControl (management)Computer scienceMathematicsArtificial intelligencePhysics

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Publication Info

Year: 1992
Type: article
Volume: 34
Issue: 2
Pages: 232-232
Citations: 7900
Access: Closed

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APA Style

                            
                                    Roger Sauter, 
                                
                                    Douglas C. Montgomery
                                
                            (1992). 
                            Introduction to Statistical Quality Control. 
                            Technometrics
                            , 34
                            (2)
                            , 232-232.
                            https://doi.org/10.2307/1269251

Identifiers

DOI: 10.2307/1269251