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ISU IE 361 - notes 1

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-1-IE 361 Class Outline, Fall 2001Introduction/Chapter 1 (&Chapter 9)quality defined________________________________œ quality of design quality of conformancestatistics defined_______________________________œprocesses vs. productscustomer focuscontinual improvement6-step process-oriented quality assurance cycle (Table 1.1)Simple Quality Assurance Tools/Chapter 2flowchartscause and effect diagramsmetrologyvalidityprecisionaccuracybasic measurement model(display (2.1))a standard error for estimate (2.3) isÍÍÍÌŽ•Œ•""=#=•=7•"8•"€=C##%C%-2-"gage R&R" repeatability reproducibilityGage R&R Class DemonstrationOperator 1Operator 2Operator 3Operator 4Part 1Part 2???3"""#"$"%""""#"$"%#"###$#%##"#lCœlCœlCœlCœœlVœlVœlVœlVœlCœlCœlCœlCœœlVœlV##$#%$"$#$$$%$$"$#$$$%œlVœlVœlCœlCœlCœlCœœlVœlVœlVœlVœPart 3 ?2-way random effects modelrange-based estimatesANOVA-based estimates-3-linear calibrationsimple linear regression"inverse prediction"BœCœC•,s",8€"8€"8€"!"estimated "truth" corresponding to measurement abB„>"€€sQWI"B•B,8sB•B8€"8•#"8€"8#3œ"838#ÈkkÍÍÍÍÌab!ab elementary data collection principleshistogramsPareto chartsrun chartsStatistical Process Monitoring/Chapter 3ProcessMeasurement SystemShewhart's grand conceptualizationShewhart charts "standards given" context "retrospective"/"as past data" context charts for "variables data"-4- chartsB chartsV median charts charts= charts for "attributes data" and charts:8: and charts?-qualitative interpretation of Shewhart charts and "extra alarm rules"the ARL concept and simple ARL calculationsSPC and engineering feedback control PID control algorithms"Advanced" Control Charts/Chapter 4multivariate Shewhart control charts8œ" situations (Section 4.4) charting not recommended ( only instead)\ÎQV\ is recommended5sœQV"Þ"#)Process Characterization and Capability Analysis/Chapter 5normal plotting and capability analysiscapability measures and their estimation , and and confidence limits for these'GG5::5-5-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 simple probabilistic simulationsBasics of Experimental Design and Analysis/Chapter 62-way complete factorial plansinteraction plotsmulti-sample normal model model-checking using residuals =Pooled linear combinations of means, P estimating , and confidence limits (6.8)PPserror bars on interaction plots2-way factorial effects definitions estimation as 'sP#: complete factorial plans#: factorial effects definitions estimation as


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ISU IE 361 - notes 1

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