Introduction
SPC training builds the competence needed to statistically monitor production processes, evaluate their capability and keep them under control. With the new SPC manual jointly published by AIAG and VDA on 1 July 2026, this field went through its most fundamental change in twenty years.
The 2nd edition of the previous AIAG SPC manual dated from 2005. In the time since, both statistical approaches and manufacturing technologies changed; more importantly, suppliers producing parts for American and German OEMs at the same time were forced to run two separate SPC systems in parallel. A process could count as capable in one framework while requiring a different control chart or a different calculation rule in the other.
The new joint manual brings this duality to an end. As the second Core Tool harmonized by AIAG and VDA after FMEA, it establishes a common terminology and application framework across the global supply chain.
Table of Contents
What does the AIAG & VDA SPC manual bring?
One framework, one terminology. AIAG’s application- and chart-oriented approach and VDA’s statistically stricter framework were merged. Conflicting terms and method differences were removed; the obligation to run parallel systems has ended for suppliers producing for both markets.
The six control loops approach. SPC activities are now classified by control purpose rather than by chart type. The right question is no longer “which chart should I use” but “what am I trying to control.” Real-time process monitoring, tolerance-based conformity control, post-process improvement analysis and audit-based loops are addressed separately.
SPC defined as a managed process. The manual moves SPC away from being the quality technician’s chart-filling job and positions it as a structured organizational control system with explicit implementation requirements.
Closed-loop integration with the other Core Tools. SPC is no longer an isolated post-production monitoring activity; it is an integrated link in a risk management chain together with APQP, PFMEA, Control Plan, MSA and PPAP. A direct link is established between the PFMEA risk assessment and SPC sampling frequency: high-impact failure modes require tighter sampling.
A clearer distinction between performance and capability. Process performance and process capability indices have been defined more explicitly; which index is used when and under which conditions has become clearer.
Unified special cause detection rules. The old differences of opinion between AIAG and VDA on which signal rules count as valid have been resolved.
An expanded chart toolbox. While classic Shewhart charts remain the foundation, methods aimed at detecting small shifts have also been brought into the framework. This enables earlier intervention in high-precision or complex production environments.
Alignment with ISO statistical standards. The manual was harmonized with the relevant ISO standards on control charts, process capability and performance, statistical terminology and SPC implementation guidance. In place of the scattered cross-references of the old editions, a consistent statistical foundation was established.
How does this change affect you?
The manual is not a binding requirement; it is an advisory document. In practice, however, OEMs are expected to ask their suppliers to align with the new framework increasingly often.
Concrete effects:
- Your control plans should be reviewed against the new sampling logic
- Your capability calculation method and reporting format should be updated
- Your PFMEA-to-SPC link should be established and demonstrable
- Your quality team’s terminology should move to the new common language
- In customer audits you should be able to justify which framework you work to
- If you produce for both markets, the opportunity has arisen to merge your parallel systems into a single framework
For most suppliers the last item means direct cost savings.
Who should attend SPC training?
- Quality engineers and quality managers
- Process and production engineers
- Teams responsible for Core Tools implementation
- Teams running control plan and PFMEA work
- Measurement and laboratory officers
- Supplier quality development (SQA/SQD) teams
- IATF 16949 internal auditors
- Production shift supervisors and shop-floor leaders
There are no prerequisites. Basic statistical concepts are covered within the training; advanced statistical knowledge is not required.
Training Content
Statistical foundations
- The concept of variation: common and special causes
- Data types: variable and attribute data
- Measures of central tendency and spread
- The normal distribution, checking the distribution and non-normal cases
- Sampling logic, forming subgroups and sampling frequency
Control charts
- The purpose of the control chart and the meaning of control limits
- Variable data charts and attribute data charts
- The decisive role of the control purpose in chart selection
- Interpreting special cause signals
- Methods aimed at detecting small shifts
- The difference between control limits and tolerance limits, and the common mistake
Process capability and performance
- Definitions of and differences between capability and performance indices
- Which index is used when
- Short-term and long-term studies
- One-sided tolerances and special cases
- The approach for processes that are not normally distributed
- Reporting capability results to the customer
The six control loops framework
Selecting the loop according to the control purpose, the field of application of each loop and the logic of moving between loops are covered. The shift from “which chart should I use” to “what am I controlling” is demonstrated hands-on.
Integrating SPC with the other Core Tools
- From the PFMEA risk assessment to the sampling frequency
- Defining SPC requirements in the control plan
- The effect of MSA results on the reliability of SPC data
- Presenting capability data in the PPAP file
- SPC planning across the APQP phases
Practical exercises
Participants build control charts, interpret signals and calculate capability on real data sets. In in-house programmes the exercises are run on your own process data; in most organizations this format produces directly usable output after the training.
Learning Outcomes
- Interpreting process variation correctly and distinguishing between common and special causes
- Selecting a chart suited to the control purpose and setting control limits correctly
- Calculating and interpreting capability and performance indices correctly
- Linking PFMEA risks to the sampling frequency
- Updating control plans according to the new framework
- Justifying SPC implementation in customer audits
Duration and Participation Options
Duration: 2 days in open-enrolment programmes. In in-house programmes, planned as 1–3 days depending on the scope and depth of the practical work. If work will be done on your own data, 2 days are recommended.
Participation type: Open enrolment or in-house.
Training method: In person (at your organization or in our training room), live online, on-demand recording.
Dates: Set according to demand.
Certificate of Attendance
Participants who complete the training receive a certificate of attendance. The certificate includes the participant’s name, training scope, date and duration. It can be used as evidence of competence in your competence records and in customer audits.
Other Core Tools Trainings
SPC is one of the six Core Tools and works in an integrated way with the others:
- APQP — Advanced Product Quality Planning
- AIAG-VDA FMEA — Failure Mode and Effects Analysis
- Control Plan
- MSA — Measurement Systems Analysis
- PPAP — Production Part Approval Process
A package programme covering all of the Core Tools trainings is also organized.
Beyond Training: Implementation Support
You can make use of our consulting services in every area where support is needed.
- Reviewing control plans against the new SPC framework
- Conducting and reporting capability studies
- Establishing the PFMEA–Control Plan–SPC link
- Designing the shop-floor implementation and data collection system
- Internal and supplier audit services
Frequently Asked Questions About SPC Training
When was the AIAG & VDA SPC manual published? The joint manual was published on 1 July 2026. It is the second Core Tool harmonized by AIAG and VDA after FMEA.
Is the old AIAG SPC manual now invalid? The manuals are advisory documents, not binding requirements; there is therefore no official transition timetable. However, OEMs are expected to ask their suppliers to align with the new framework increasingly often.
How old was the previous edition? The 2nd edition of the previous AIAG SPC manual dated from 2005. More than twenty years have passed since.
Did we really have to run two separate SPC systems? Yes, and this is the core problem the new manual solves. Suppliers producing for American and German OEMs at the same time faced different terminology, different capability calculation rules and different audit expectations. The joint manual removes this duality.
Do I need statistical knowledge for SPC training? No. Basic statistical concepts are covered in the first part of the training. Advanced mathematics is not required.
Can we work with our own data? Yes. In in-house programmes all practical exercises are run on your own process data. This format produces directly usable output after the training.
How long does SPC training take? Open-enrolment programmes take 2 days. In-house programmes are planned as 1-3 days; if work will be done on your own data, 2 days are recommended.
Can we take SPC and MSA training together? Yes. Because the reliability of the measurement system directly affects the accuracy of SPC data, the two trainings are frequently requested together. A Core Tools package programme is also organized.