Last Updated on 11 September 2023
Statistical Process Control (SPC) is a powerful approach used in Lean Six Sigma for monitoring and controlling processes through the application of statistical techniques. It serves as an essential tool to identify opportunities for process improvements, streamline operations, reduce waste and inefficiencies, and optimize productivity.
Types of variation
There are two types of variation that you will find in a system:
- common cause variation: this is the natural variation that you find in all systems and you won’t be able to remove. You can still consider the system to be ‘in control’ if there is common cause variation
- special cause variation: variation due to causes that should be removed from the system. A system with special cause variation in it is ‘out of control’.
Benefits of Statistical Process Control
SPC is a key component within the Six Sigma methodology. It provides essential benefits, including:
- Improving process efficiency: By analyzing the process variations, SPC helps in identifying areas where improvements can take place. This leads to efficient processes & significant cost savings.
- Reducing defects: SPC aids in defects detection, thus preventing them from occurring in the future. A controlled, streamlined process leads to higher quality products/services.
- Better decision making: SPC uses data-driven insights, aiding businesses to make informed strategic decisions.