MSA & SPC • AIAG • Public Open Enrollment • In-Person Workshop • Live Virtual Workshop

Transitioning to AIAG & VDA SPC

Transition effectively to the AIAG & VDA SPC Handbook with this focused one-day course designed for SPC practitioners and auditors who need to align their current practices with the latest industry expectations. This training provides a clear overview of the key changes, new concepts, and updated methodologies introduced in the AIAG & VDA SPC approach.  

Enrollment Options

Select an existing open enrollment session, or contact us for additional training options.

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Course Description

Transition effectively to the AIAG & VDA SPC Handbook with this focused one-day course designed for SPC practitioners and auditors who need to align their current practices with the latest industry expectations. This training provides a clear overview of the key changes, new concepts, and updated methodologies introduced in the AIAG & VDA SPC approach. 

Course Details

Length

1 Day (8 Hours)



Prerequisites

Comprehensive experience on the implementation of SPC

Learning Objectives

  • Plan, conduct, evaluate, and improve the results of Machine Performance studies 
  • Awareness on how to identify and apply SPC for normal and non-normal distributions 
  • Plan, conduct, evaluate, and improve the results of Process Ongoing Capability 
  • Documenting and Reporting SPC Results 

Who Should Attend

This course is designed for SPC practitioners who have experience implementing and managing Statistical Process Control based on the AIAG SPC 2nd Edition manual and are transitioning to the AIAG & VDA SPC Handbook. It is also beneficial for auditors seeking to enhance their ability to effectively assess and audit the updated and newly introduced techniques within the AIAG & VDA SPC Handbook. 

Agenda

Overview of Requirements for SPC application 

Key changes on: 

  • Process Performance (PpK) versus Process Capability (Cpk) Indices 
  • Machine performance for releasing production equipment 
  • Process performance and capability for releasing manufacturing processes 
  • Control Charts to monitor process stability and ongoing capability 
  • OCAP and process log documentation 
  • Selection of control charts for ongoing process monitoring 
  • Differences between retrospective (analysis) control charts and SPC control charts 
  • Rational sampling and rational subgrouping, including evaluation of control chart effectiveness (OC and ARL) 
  • SPC approach for processes with irremovable disturbance causes (time-dependent distribution models) 
  • One-sided tolerance limits 
  • Reporting of SPC studies 
  • Effective use of SPC software 
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