Statistical Process Control (SPC) involves using statistical techniques to measure and analyze the variation in processes. Most often used for manufacturing processes, the intent of SPC is to monitor product quality and maintain processes to fixed targets. Statistical quality control refers to using statistical techniques for measuring and improving the quality of processes and includes SPC in addition to other techniques, such as sampling plans, experimental design, variation reduction, process capability analysis, and process improvement plans.

The concept is to be able to control your processes by monitoring changes in the process, environment, or labor, using control charts. This is achieved by collecting random data samples from groups or sub-groups of product, at various stages of the product’s manufacturing using inspection methods. It aims to get and keep processes under control.

Key Benefits

• Provides surveillance and feedback for keeping processes in control
• Signals when a problem with the process has occurred
• Detects assignable causes of variation
• Accomplishes process characterization
• Monitors process quality
• Provides mechanism to make process changes and track effects of those changes
• Once a process is stable (assignable causes of variation have been eliminated), provides process capability analysis with comparison to the product tolerance

Who Should Attend
Supervisory Level and Above

Number of Participants
20 participants (maximum)

Training Duration
2 days (at customer’s premises)
(Included Saturday & Sunday upon request)