AIAG & VDA SPC Manual

AIAG & VDA SPC Manual - Statistical Process Control: Your Ultimate Guide to Quality Control

Process management | Performance and Capability | Control Charts

Be among the first to access the updated AIAG & VDA SPC Manual.

AIAG & VDA SPC Manual is availble now!

This new edition reflects a harmonized approach to Statistical Process Control (SPC), developed by AIAG and the German Association of the Automotive Industry (VDA). It standardizes practices, report templates, and technical nomenclature, aligning with ISO and other relevant international standards to support industry-wide consistency, improve capability, and meet evolving expectations.

Covering virtually all typical SPC use cases, the updated edition incorporates the latest techniques and methodologies to support a common, best-in-class approach to process qualification and control in the automotive industry.

The AIAG & VDA SPC Manual represents a harmonized approach to Statistical Process Control (SPC) across North America and Europe, developed by AIAG and the German Association of the Automotive Industry (VDA) to support greater consistency across the global automotive supply chain.

This joint manual standardizes SPC practices, reporting templates, and technical terminology while aligning with ISO and other relevant international standards. It incorporates current SPC methodologies and practical guidance for process qualification and control, including flexible statistical methods, machine capability and performance studies, and control chart selection - helping organizations improve process capability, strengthen stability, and meet evolving customer expectations.

Key revisions include:

Updated guidance aligned to the AIAG & VDA harmonized approach to SPC
Practical methods to improve process capability and stability
Clear direction for applying SPC across manufacturing environments
Enhanced reference value for training, implementation, and ongoing use

Published AIAG standards and CQI standrads

Get your copy of the SPC - Fundamental Statistical Process Control today!