Guides, tutorials, and thought leadership on FMEA, root cause analysis, risk assessment, process and design engineering, maintenance optimization, and AI.
Compare APIS IQ, PLATO e1ns, Siemens Teamcenter, PTC Windchill, Relyence, and Tacit AI. Features, standards support, pricing models, and which tool fits your team.
Complete AIAG-VDA 7-step DFMEA for an electric parking brake caliper. Structure analysis, failure modes, Action Priority scoring, and control plan linkage.
Complete PFMEA for automotive metal stamping. AIAG-VDA 7-step method, 4M cause analysis, Action Priority scoring, and control plan linkage with 10 worked rows.
Ford, Stellantis, and Renault include Reverse FMEA requirements. GM permits reverse PFMEA or similar methods for proactive annual review. See what the CSRs actually say.
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 is effective and incorporates ISO 13485 requirements. Learn what medical-device teams should review in their risk-management and FMEA workflows.
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.
AIAG-VDA software must support the 7-step method, Action Priority tables, structure analysis, and DFMEA-to-PFMEA linkage. Evaluation checklist included.
ISO 13485 requires risk management throughout the product lifecycle. DFMEA requirements for medical devices, template structure, severity scales, and what auditors check.
Where APIS IQ excels, where it falls short, and what AI-powered alternatives offer. Honest side-by-side comparison with migration considerations.
Excel is the most common FMEA tool and the most common bottleneck. Why teams switch, what alternatives exist, and how to migrate without disrupting your process.
Complete column-by-column FMEA template structures for AIAG-VDA, IEC 60812, and ISO 14971. Scoring tables, common mistakes, and when you need more than a template.
Which IATF 16949 clauses mandate DFMEA and PFMEA, the 15-point auditor checklist, most common nonconformities, and OEM-specific requirements layered on top.
Free control plan template with column-by-column structure. PFMEA-to-control-plan linkage, reaction plans, worked stamping example, and special characteristic conventions.
