(SPC) Statistical Process Control is the use of statistical techniques such as control charts to analyze a process or its output so as to take appropriate actions to achieve and maintain a state of statistical control and to improve the process capability.

There are two phases in statistical process control studies.

1. The first is identifying and eliminating the special causes of variation in the process. The objective is to stabilize the process. A stable, predictable process is said to be in statistical control.
2. The second phase is concerned with predicting future measurements thus verifying ongoing process stability. During this phase, data analysis and reaction to special causes is done in real time. Once stable, the process can be analyzed to determine if it is capable of producing what the customer desires.

A demonstration of solid statistical process control techniques proves an individual’s ability to monitor and improve manufacturing processes.

Establish a foundational knowledge-base to analyze your manufacturing system and enhance its effectiveness. Gain a basic understanding of how to establish, analyze and implement a statistical process control (SPC) system in a manufacturing environment.

Improve your understanding of the integration of statistical process control (SPC) and measurement systems analysis (MSA) into IATF 16949 and discover how to develop a higher quality process control system by selecting and applying the appropriate statistical tools.

Examine methods for implementing and applying the principles of statistical process control to manufacturing processes.

Want to make sure that the learning sticks? Keep AIAG’s APQP manual on hand as a reference guideline. The manual covers the majority of situations that occur in early planning, design, or process analysis phases.

The new CQI-25 SPC Quick Start Guide is a supplement to the full SPC Manual and provides the building blocks of statistical process control for those who are new to the topic or have only experienced SPC from a limited perspective.

The SPC Short Run Supplement (CQI-26) guideline was developed to address the particular uniqueness of short run production, where suppliers do not have the production volume to readily apply the approaches identified in the SPC Reference Manual.

Certification by AIAG in SPC confirms an individual's proficiency in statistical process control techniques as defined in the SPC reference manual.