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Why AIAG-VDA 7-Step Approach?
Last Updated: September 19, 2025In 2019, AIAG (Automotive Industry Action Group) and VDA (Verband der Automobilindustrie – German Automotive Association) released a joint FMEA Handbook. This new AIAG-VDA 7-Step Approach replaced the old AIAG 4th Edition (2008) method. Why was this change necessary? Because suppliers working with global OEMs (US, German, Japanese, etc.) faced confusion, duplication, and inconsistencies when...
FMEA Linkages – ISO 9001, IATF 16949, APQP, PPAP.
Last Updated: September 19, 2025FMEA (Failure Mode and Effect Analysis) is not just a tool, it is a part of the automotive quality system. It is highly important because of FMEA linkages with all core tools and automotive foundational standards: Understanding these FMEA linkages helps organizations to use FMEA as a live risk management tool. 1. FMEA and ISO...
RPN vs Action Priority (AP) – Why RPN is Outdated
Last Updated: September 19, 2025In the old AIAG 4th edition FMEA (Failure Modes and Effects Analysis), risk was categorized using a Risk Priority Number (RPN). Now, the AIAG-VDA FMEA Handbook (2019) replaced RPN with Action Priority (AP). Why? Because RPN had many weak points that lead to inconsistent and misleading risk evaluations. Whereas, AP gives us a more logical,...
Detection in FMEA (AIAG-VDA) | Explained with Examples
Last Updated: October 5, 2025In technical risk analysis, Detection in Failure Modes and Effects Analysis (FMEA) is the possibility that current detection actions will detect a failure cause or failure mode before it reaches to customer. The Severity measures impact/consequences and Occurrence measures frequency, Detection will be the answers of below question:“If the failure happens, how strong our controls...
Occurrence in FMEA (AIAG-VDA) | Explained with Examples
Last Updated: October 5, 2025In the AIAG-VDA methodology, the Occurrence in Failure Modes and Effects Analysis (FMEA) rating helps in evaluating risk by measuring how a specific cause of failure is to happen. It focuses on the frequency of the failure cause. This article explains every detail about occurrence rating in FMEA with practical examples. Let’s dive in. What...
Severity in FMEA (AIAG-VDA) | Explained with Examples
Last Updated: October 5, 2025In today’s automotive manufacturing industry, producing good quality, safety, and customer satisfaction is non-negotiable. One of the most powerful tools used to achieve this is Failure Modes and Effects Analysis (FMEA). The concept of Severity in FMEA is playing an important role. It evaluates the seriousness of a potential failure’s effect on the customer. In...
Function Requirement Failure in FMEA
Last Updated: September 12, 2025If you’re serious about performing an effective FMEA, you must master the three core pillars: Function Requirement Failure in FMEA These three elements are fundamentals of every DFMEA and PFMEA. They form the “backbone” and link your risk analysis to performance, customer satisfaction, and safety. When you get these three right, the rest of your...
FMEA in APQP & IATF 16949 Context
Last Updated: September 12, 2025In the automotive industry, providing a product that is safe, reliable, and compliant is not optional, it is mandatory. Therefore FMEA (Failure Mode and Effects Analysis) becomes important and it plays a key role in both below topics, FMEA is not just a documentation, it is a risk analysis strategy. Risk-based tool to ensure “do...
Types of FMEA – DFMEA, PFMEA, and FMEA-MSR
Last Updated: September 12, 2025In automotive product development and manufacturing, to know what could go wrong, before it happens is very important to maintain quality and safety. Therefore FMEA (Failure Mode and Effects Analysis), especially types of FMEA helps to deal with these at every stage. But did you know there are three types of FMEA, each type is...
History of FMEA – NASA to AIAG to AIAG-VDA
Last Updated: September 12, 2025Every powerful method has a story behind it, and the history of FMEA is no different. Failure Mode and Effects Analysis (FMEA) is now a standard tool in automotive manufacturing, but it’s not start there. It starts from space industry, where people’s lives depended on predicting what could go wrong. From NASA in the 1960s...