Customer Quality Engineering
Structured customer quality ownership: complaint handling, 8D facilitation, containment, and communication that protects trust without sacrificing speed.
Yancey Ai
Quality Engineering × Manufacturing × AI
Building smarter quality systems for modern manufacturing.
Expertise
Quality engineering where manufacturing meets customers
Structured problem solving, process evidence, and clear communication — with AI used only where it raises the quality bar.
SMT & PCBA Quality
Process quality across SMT and PCBA — paste, placement, reflow, AOI/AXI, and assembly risks framed in evidence, not opinion.
8D & Root Cause Analysis
Discipline in problem definition, escape vs. occurrence, verification of root cause, and corrective actions that actually stick.
SPC / Cpk / Process Control
Capability thinking for real manufacturing decisions: control charts, trends, Cpk interpretation, and process stability signals.
Supplier Quality
Incoming quality, supplier audits, SCAR/8D follow-through, and risk-based control of critical-to-quality characteristics.
Manufacturing Quality
Shop-floor quality systems: process audits, nonconformance control, line feedback loops, and continuous improvement.
ISO Quality Systems
Quality system literacy aligned to ISO expectations — documentation that supports real process control, not paper theater.
AI-assisted Quality Engineering
Practical AI tools for quality work: report review, decision support, evidence checks, and structured knowledge capture.
Projects
Selected work & demos
Example projects for V1. Real manufacturing cases are anonymized.
An AI workflow that reviews 8D reports for logical consistency, evidence sufficiency, and recurrence prevention gaps — before they reach the customer.
A decision-focused SPC view for Cpk, control charts, trend detection, and process capability signals that quality engineers can act on.
An anonymized manufacturing FA walkthrough: problem → evidence → hypothesis → verification → root cause → corrective action → prevention.
A lightweight closure workflow for SMT audit findings: owner, due date, evidence, verification, and closure status — designed for manufacturing reality.
About
Quality engineer for modern manufacturing
Working at the intersection of manufacturing, customer quality, SMT/PCBA, and AI-assisted quality engineering.
Notes
Writing on quality engineering
8D
What makes an 8D survive customer reviewA practical checklist for root-cause logic, escape cause, evidence, and corrective actions that hold under scrutiny.
SPC
Reading Cpk without false confidenceCpk is a decision input, not a trophy. Stability, sample strategy, and special causes matter more than a single number.
SMT Quality
SMT quality signals that actually matterFrom paste print to AOI: which signals deserve escalation, and which are noise in a healthy process.
AI for Quality Engineering
Where AI helps quality engineering — and where it must notAI can accelerate review and structure. It cannot replace verified evidence, process ownership, or customer accountability.
Contact
Open to quality engineering conversations
LinkedIn, GitHub, and Email will appear here when verified — no placeholder links in V1.