Statistical Process Control Using SAS/QC® Software
SPCQC : QC51
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.
The self-study e-learning includes:
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.
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
Prerequisites
Before attending this course, you should:
- Complete SAS Programming 1: Essentials or have equivalent knowledge.
- Understand basic statistical concepts such as normal distribution, p-values, and ANOVA. You can gain this understanding by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
SAS Products Covered
SAS/QC;SAS/GRAPH;SAS/STAT
Course Outline
Introduction to Statistical Process Control Techniques
- Understand the terminology of statistical quality control.
- Differentiate between traditional SAS graphics and ODS graphics.
- Introduce graphical tools for distribution analysis.
- Apply rational sampling and subgrouping in process monitoring.
- 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 email notifications of out-of-control processes.
- Distinguish between binomial and Poisson data.
- 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 in which multiple sources of variation might 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 ANOM charts for pre-summarized attribute data.
- Compare and contrast control limits and specification limits.
- Define capability and understand when to perform capability analyses.
- Introduce and demonstrate graphical capability tools available in SAS.
- Generate and interpret capability indices and confidence intervals.
- Generate and interpret other statistical capability indicators, such as percent nonconforming.
- Discuss the issue of subgrouping in calculating capability ratios.
- Calculate an alternative capability measure based on the quadratic Taguchi Loss Function.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.