Guides, tutorials, and thought leadership on FMEA, root cause analysis, risk assessment, process and design engineering, maintenance optimization, and AI.
FMEA is a structured method to identify potential failures before they occur. This guide covers the process, standards (AIAG-VDA, IEC 60812, ISO 14971), worksheet structure, common mistakes, and how AI is changing FMEA.
DFMEA focuses on design, PFMEA on process, and FMECA adds criticality. Learn when to use each type and how to choose the right one.
AI cuts FMEA creation from weeks to days. Learn how document intelligence, failure mode extraction, and automated scoring change the workflow.
ChatGPT generates text. Tacit AI builds reliability programs. The difference is persistent industrial memory, engineer feedback loops, and knowledge that compounds.
RPN = Severity x Occurrence x Detection. This guide covers each 1-10 scale with criteria tables, a brake system example, thresholds, and the shift to Action Priority.
Compare the four most common RCA methods. Learn when to use each, how they differ in complexity and rigor, and how to avoid common investigation mistakes.
AI detects patterns across incidents, suggests causal chains, and analyzes free-text work orders. Learn how human-AI collaboration improves RCA.
Most FMEAs are still manual Excel exercises done for compliance, not value. Explore the Excel problem, compliance trap, and how AI is changing FMEA.
Incomplete work orders break FMEAs, RCA, and maintenance strategies. Learn the 20+ dimensions of data quality and practical steps to fix your CMMS data.
A 10-step tutorial for Design FMEA covering scope, structure, failure modes, scoring, and actions. Includes a hydraulic valve walkthrough and AI tips for each step.
FDA’s QMSR became effective February 2026. ISO 13485 risk management is the inspection standard. Learn what this means for your FMEA process.
Ford’s updated Customer-Specific Requirements and the AIAG-VDA FMEA transition raised the FMEA bar for PPAP. Learn what changed, what gets rejected, and how to pass the quality gate.
After a recall, the root cause almost always traces back to an inadequate FMEA. Learn how to rebuild with source traceability and defensible risk analysis.
