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Statistical Process Control (SPC) is a process used to determine if a manufacturing or business process is in a state of statistical control. Control charts are very important tools used in this process as they help monitor the stability of a process.
The course begins by describing the main features of control charts. These features include the data points, a centerline (mean value), and upper and lower limits (bounds to indicate where a process output is considered 'out of control'). Next, the course describes how control charts visually display the fluctuations of a particular process variable, such as temperature, in a way that lets the engineer easily determine whether these variations fall within the specified process limits.
This course will be of great interest to all professionals who work in the areas of Six Sigma, Quality Management and manufacturing who would like to learn more about control charts and how they play a central role in monitoring process stability. It will also be of great interest to all learners who would like a career in the area of Six Sigma and quality control.
Prerequisites: It is recommended that you have studied the following courses
- Six Sigma - Introduction To Taguchi Methods And Robust Design – Revised 2018
- Six Sigma - Understanding Benchmarking Methods – Revised 2018
- Fundamentals Of Using Six Sigma In Supply Chains – Revised 2018
- Six Sigma - Understanding Design Of Experiment – Revised 2018
Having completed this course the learner will be able to:
- Describe the basics of Statistical Process Control.
- Define and apply control charts.
- Describe and use control charts for attributes.
- Describe and use control charts for variables.
- Describe control chart pattern.
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