Under the automotive industry's quality management requirements of "zero defects, low variation, strong prevention," SPC statistical process control is no longer just a statistical tool for drawing control charts, but an important quality management method connecting process knowledge, data analysis, control plans, APQP/PPAP, mass production process monitoring and continuous improvement. The AIAG-VDA SPC manual was jointly developed by AIAG and German VDA, aiming to provide a unified and coordinated SPC application method for the global automotive supply chain, helping enterprises conduct process control and capability evaluation more consistently during new project introduction, mass production ramp-up and continuous production stages. The new AIAG-VDA SPC manual emphasizes translating statistical concepts into executable implementation frameworks, covering SPC deployment, production preparation, APQP and PPAP activities, and strengthening the connection between process knowledge, statistical analysis and control plan execution. This course adopts a method of "standard understanding case analysis Minitab software practice on-site application discussion." Minitab can be used for quality data analysis scenarios such as control charts, process capability analysis and real-time SPC, supporting learners to judge whether processes are in control, whether process capability meets requirements, and how to identify special cause variation through actual data.

• Understand the core framework, terminology and application logic of the AIAG-VDA SPC manual
• Select appropriate control charts according to data type, process characteristics and monitoring purpose
• Understand the relationship between SPC and control plans, reaction plans, APQP, PPAP and mass production quality control
• Help learners translate SPC results into on-site reaction plans and process improvement actions.

• Quality engineers, SQE, CQE, SQA engineers; manufacturing engineers, process engineers, process engineers; production supervisors, team leaders, on-site management personnel; project quality, APQP/PPAP engineers; personnel related to laboratories, metrology and measurement systems; system engineers, internal auditors, second-party auditors; quality managers, manufacturing managers, continuous improvement heads.

• Introduction to basic statistical concepts
• The correct way to open AIAG-VDA SPC
• Work tasks in the design and development stage
• Work tasks in the process development stage
• Work tasks in the process verification stage
• Method planning in the mass production control stage
• Course summary and Q&A