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Course fee and EPTO/APTO units differ for on-site training.Statistical Process Control Using SAS/QC Software
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Duration: 2.0 days CEUs: 1.2 | ||
| (This course is not currently scheduled.) |
This course is designed for professionals who use quality control or SPC methods to monitor, evaluate, and improve the quality of their processes. It is an ideal statistical training module to complement or supplement corporate quality training programs and Six Sigma programs.
Learn how to use SAS/QC software to
- perform distribution and Pareto analyses
- create run charts and determine rational subgrouping strategies
- create Shewhart control charts, including specialized and advanced charts
- perform analysis of means (ANOM) and create ANOM charts
- perform graphical and statistical capability analysis.
Who should attend
Engineers, chemists, health care workers, statisticians, and others who use quality control or SPC methods in their work
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Prerequisites
Before attending this course, you should have
- completed Introduction to Programming Concepts Using SAS Software or SAS Programming I: Essentials or have equivalent knowledge
- an understanding of basic statistical concepts such as normal distribution, p-values, and ANOVA. You can gain this understanding by completing the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
Course Contents
Introduction to Statistical Process Control Techniques
- understand the terminology of statistical quality control
- distinguish between data types
- introduce graphical tools for distribution analysis
- generate a report of descriptive statistics for evaluating a distribution
- generate and interpret graphical reports and statistical tests for normality of a distribution
- generate Pareto charts
- explain goals of control charting
- differentiate between sigma limits and probability limits
- use the SHEWHART procedure to generate control charts
- differentiate between using the range and using the standard deviation to estimate sigma
- automate generation of control charts
- create e-mail notifications of out-of-control processes
- distinguish between binomial and Poisson data
- display stratification variables on attribute control charts and use BY-group processing
- understand autocorrelation in process data
- use ARIMA models to generate a control chart for autocorrelated data
- identify and describe multivariate process situations
- generate multivariate control charts with appropriate control limits
- identify situations where multiple sources of variation may be present
- generate control charts appropriate for multiple sources of variation
- compare and contrast analysis of means (ANOM) with analysis of variance and Shewhart charts
- identify the three types of ANOM charts available in the ANOM procedure
- create an ANOM chart for measurement data using multiple responses
- create tabular output for analysis of means
- compute UCHART and PCHART decision limits
- create ANOM charts for pre-summarized attribute data
- discuss advantages and disadvantages of EWMA and cusum charts
- construct EWMA charts
- illustrate applying one-sided decision interval and two-sided V-mask cusum charts
- demonstrate graphical capability tools available in SAS
- generate and interpret capability indices and confidence intervals
- calculate an alternative capability measure based on the quadratic Taguchi Loss Function
Software
This course addresses SAS/QC, SAS/STAT.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Not currently scheduled. Available for on-site training or can be scheduled at any SAS training facility if demand warrants.
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