APQP (Advanced Product Quality Planning)

Last updated 2026.02.13
APQP품질관리Quality Management자동차산업Automotive신제품개발NPDAI품질관리디지털트윈Digital Twin

Definition

APQP (Advanced Product Quality Planning) is a structured framework for planning and managing quality proactively during new product development. Widely adopted in the automotive industry, it aims to minimize quality risks from the design phase through mass production. While Six Sigma focuses on reducing process variation, APQP emphasizes systematically building quality across all product development stages.

Application in Manufacturing

APQP consists of a 5-phase process:

  1. Plan and Define: Identify customer requirements and set objectives
  2. Product Design and Development: Design FMEA, prototype creation
  3. Process Design and Development: Process FMEA, control plan establishment
  4. Product and Process Validation: Trial production and approval
  5. Feedback and Corrective Action: Continuous improvement post-production

Automotive suppliers must submit APQP documentation along with PPAP (Production Part Approval Process) before delivering to OEMs, making it central to supply chain quality assurance.

Manufacturing AI Perspective

AI technology is revolutionizing the APQP process:

  • Design Phase: Machine learning predictive models to anticipate design defects
  • Process Development: Digital twin-based virtual process validation minimizes trial and error
  • Data Analytics: AI analysis of historical APQP data identifies risk patterns
  • Documentation Automation: NLP technology automates APQP document creation and review

AI is particularly effective in optimizing prioritization and resource allocation for complex projects managing APQP for thousands of parts simultaneously.