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June 20, 2026Processes0 citationsOpen Access

Comparative Analysis of Classical AIAG and Harmonized AIAG–VDA FMEA Methodologies for Automotive Process and System Risk Management

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AJAlex JelušABAlena BreznickáMKMarcel Kohutiar

Key Points

  • This analysis aims to compare traditional and harmonized FMEA methodologies in the automotive industry, assessing their implications for risk management.
  • Structured comparative analysis of classical AIAG FMEA and harmonized AIAG-VDA FMEA.
  • Focus on Design (DFMEA), Process (PFMEA), and System (SFMEA) levels.
  • Evaluation of methodological changes, including prioritization metrics and structured processes.
  • Harmonized AIAG-VDA FMEA improves consistency and auditability in risk analysis.
  • Shifts decision-making from a scoring-based approach (RPN) to Action Priority (AP), enhancing safety-critical risk management.
  • Identifies strengths and limitations of the harmonized approach across different FMEA levels.

Abstract

Failure Mode and Effects Analysis (FMEA) remains a fundamental risk management methodology in the automotive industry. This review provides a structured comparative analysis of the classical AIAG FMEA (4th edition, 2008) and the harmonized AIAG & VDA FMEA (1st edition, 2019) across Design (DFMEA), Process (PFMEA), and System (SFMEA) levels. Unlike conventional descriptive reviews, this study presents an integrative analytical synthesis that systematically evaluates methodological differences, decision-making logic, and structural transformations between the two frameworks. The analysis focuses on key developments, including the transition from Risk Priority Number (RPN) to Action Priority (AP), the introduction of a mandatory seven-step methodology, the formalization of structure–function–failure relationships, and enhanced traceability to downstream quality documentation such as Control Plans. The findings demonstrate that the harmonized framework represents a conceptual shift from a primarily scoring-based approach to a structured systems engineering methodology, improving consistency, completeness, and auditability of risk analysis. Particular emphasis is placed on the implications of AP-based prioritization, which alters traditional decision logic by preventing the suppression of safety-critical risks. The paper contributes to the literature by providing a comprehensive cross-level comparison (DFMEA–PFMEA–SFMEA) within a single analytical framework, identifying both strengths and limitations of the harmonized approach, and outlining its practical implications for industrial implementation. Future research directions include quantitative validation, application-based case studies, and integration with digital and AI-driven FMEA systems.

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Cite This Study

Jeluš et al. (2026) studied this question.

synapsesocial.com/papers/6a36309edb0793dc1a537b8ahttps://doi.org/10.3390/pr14121976
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