This course provides an in-depth understanding of Statistical Process Control (SPC), a data-driven approach to monitoring and controlling process
This course provides an in-depth understanding of Statistical Process Control (SPC), a data-driven approach to monitoring and controlling process variations. Participants will learn to use control charts, process capability analysis, and statistical tools like histogram analysis, Pareto charts, and process sigma levels. The course includes practical exercises using real-world datasets and statistical software applications.
1. Explain the principles of Statistical Process Control (SPC).
2. Construct and interpret control charts for process monitoring.
3. Use process capability analysis to assess operational performance.
4. Apply statistical tools such as Pareto charts and histograms.
5. Utilize SPC techniques to ensure process stability and quality control.
1. Explain the fundamentals of Statistical Process Control (SPC).
2. Construct control charts and interpret variations in process data.
3. Use statistical tools to assess and improve process stability.
4. Implement SPC methods to enhance operational performance.
5. Sustain quality control efforts through continuous monitoring.
1. Quality control professionals
2. Process engineers
3. Six Sigma practitioners
4. Manufacturing and operations managers
5. Data analysts and statisticians
