ISU IE 361 - notes 1 (5 pages)

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Lecture Notes


Pages:
5
School:
Iowa State University
Course:
Ie 361 - Statistical Quality Assurance

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IE 361 Class Outline Fall 2001 Introduction Chapter 1 Chapter 9 quality defined quality of design quality of conformance statistics defined processes vs products customer focus continual improvement 6 step process oriented quality assurance cycle Table 1 1 Simple Quality Assurance Tools Chapter 2 flowcharts cause and effect diagrams metrology validity precision accuracy basic measurement model display 2 1 a standard error for estimate 2 3 is C 7 8 C 1 gage R R repeatability reproducibility Gage R R Class Demonstration Operator 1 Part 1 Part 2 Part 3 Operator 2 Operator 3 Operator 4 3 l C l C l C l C l V l V l V l V l C l C l C l C l V l V l V l V l C l C l C l C l V l V l V l V 2 way random effects model range based estimates ANOVA based estimates 2 linear calibration simple linear regression inverse prediction B s8 estimated truth corresponding to measurement C8 QWI aB s8 B8 b B 8 s8 8 k k 8 aB3 B8 b 3 aC8 b elementary data collection principles histograms Pareto charts run charts Statistical Process Monitoring Chapter 3 Measurement System Process Shewhart s grand conceptualization Shewhart charts standards given context retrospective as past data context charts for variables data 3 B charts V charts median charts charts charts for attributes data and 8 charts and charts qualitative interpretation of Shewhart charts and extra alarm rules the ARL concept and simple ARL calculations SPC and engineering feedback control PID control algorithms Advanced Control Charts Chapter 4 multivariate Shewhart control charts 8 situations Section 4 4 Q V charting not recommended only instead 5 s QV is recommended Process Characterization and Capability Analysis Chapter 5 normal plotting and capability analysis capability measures and their estimation 5 G and G 5 and confidence limits for these 4 prediction and tolerance intervals for normal processes for any stable process based on sample minimum and maximum values statistical probabilistic tolerancing propagation of error formulas



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