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Using and Interpreting Control Charts for Continuous Process Monitoring

Categories: Quality Tools
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About Course

Learn how to use control charts to understand process performance and recognize when something needs attention. This self-paced course explores chart types, process variation, control limits, and how to interpret patterns that may call for investigation.

Whether you work in quality, manufacturing, engineering, or process improvement, you’ll build practical skills for making informed decisions using your process data. Complete the course and pass the final exam to earn your Certificate of Completion.

What Will You Learn?

  • You will learn how to use and interpret control charts to distinguish normal variation from signals requiring corrective action.

Course Content

Acknowledgements and Attestation

  • Submit Acknowledgements and Attestation

Requirements for Statistical Quality Control
There are several regulations and international standards the require or refer to the use of statistically valid sampling plans.

What is Statistical Process Control
Statistical process control requires inspecting samples of the output from a process and deciding whether the process is in in statistical control.

The History of Statistical Process Control
<p>The quality movement can trace its roots back to medieval Europe, where craftsmen began organizing into unions called guilds in the late 13th century. These guilds were responsible for developing strict rules for product and service quality.<br>Inspection committees enforced the rules by marking flawless goods with a special mark or symbol.<br>Craftsmen often placed a mark on the goods they produced. At first this mark was used to track the origin of faulty items. But over time the mark came to represent a craftsman’s good reputation. Inspection marks and master craftsmen marks served as proof of quality for customers throughout medieval Europe. This approach to manufacturing quality was dominant until the Industrial Revolution in the early 19th century.<br>Until the early 1800s, manufacturing in the industrialized world tended to follow this craftsmanship model. The factory system, with its emphasis on product inspection, started in Great Britain in the mid-1750s and grew into the Industrial Revolution in the early 1800s. American quality practices evolved in the 1800s as they were being shaped by changes in new modern production methods.<br>The beginning of the 20th century marked the inclusion of "processes" in quality practices. A "process" is defined as a group of activities that takes an input, adds value, and provides an output. Walter Shewhart began to focus on controlling processes in the mid-1920s, making quality relevant not only for the finished product but for the processes that created it.<br>Walter Shewhart recognized that industrial processes yield data while working at Bell Labs. Shewhart determined this data could be analyzed using statistical techniques to see whether a process is stable and in control, or if it is being affected by special causes that should be fixed. In doing so, Shewhart laid the foundation for control charts, a modern-day widely used quality tool.<br>W. Edwards Deming known as The Father of the Quality Evolution, was an American engineer, statistician, professor, author, lecturer, and management consultant, became a proponent of Shewhart’s statistical quality control methods and later became a leader of the quality movement in post WWII Japan and the United States.</p>

Types of Control Charts
There are two general classifications of control charts: variables and attributes charts. Variables are things that can be measured. Attributes are things that can be counted. The type of data (variable or attribute) will dictate the appropriate type of control chart required to monitor a process.

Variation

Control Chart Interpretation

Control Charts for Trending and Escalation
Control charts can also be used as a tool for evaluating trends for quality management system processes such as complaints and nonconformances trigger to generate an investigation and potential escalation to CAPA.

Summary and Conclusion

Using and Interpreting Control Charts for Continuous Process Monitoring Final Exam
This final exam is administered to demonstrate the participant’s understanding and comprehension of the course materials. A score of 80% or greater is required to receive a Certificate of Completion.

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