Pillar
Manufacturing Quality Engineering
Philosophy
Quality at the source
The cheapest defect is the one that never leaves the process that created it. Every quality control downstream of that point is a way of paying for a failure that has already happened — inspection pays with labour, FAT pays with rework and schedule, and a field failure pays with the customer’s operation.
So my approach is to define requirements precisely, translate them into measurable acceptance criteria, put the inspection where the risk is rather than where it is convenient, use data to detect deterioration before it becomes nonconformance, and require objective evidence before closing anything.
The last clause is the one that does the work. “We understand why that happened” is not a closure. It is a hypothesis with a date on it.
The sequence
- Requirements
Stated so they can be failed, not just agreed.
- Risk assessment
Which failure modes matter, and where they would be detected today.
- Process controls
Controls that hold without supervision.
- Inspection & testing
Placed by risk and by when the evidence stops being obtainable.
- Nonconformance
Raised, contained, and dispositioned by someone with the authority to accept the consequence.
- Corrective action
Against the systemic cause, not only the unit.
- Verification
Evidence that it worked, over enough production to mean something.
- ReleaseGate
A decision with stated criteria — never an administrative step.
Professional experience
Quality work done on the job
High-Volume Manufacturing Scrap Reduction
Signify · Manufacturing / Quality
Structured root-cause analysis and statistical process control on high-volume production lines, cutting scrap 15% and holding it through control plans rather than operator vigilance.
Read the case study
Production Equipment Run-Off & Acceptance
Signify · Equipment / Quality
Translated an equipment specification into measurable acceptance criteria, ran vendor run-off, dispositioned a punch list, and held buy-off until process capability was demonstrated.
Read the case study
Also professional quality work, described elsewhere
A national first-place quality initiative built on statistical analysis and process redesign cut defects 10% ($43K) — summarized on the resume. The issue-closure governance behind an ERP transformation is quality discipline applied to process defects, and is written up in End-to-End Manufacturing Process Validation.
Independent engineering studies
Studies, clearly labeled as studies
Supplier Qualification & FAT Strategy for a 1 MW Liquid Cooling Skid
Independent study · Data center cooling
Supplier qualification scoring, manufacturing readiness review, inspection and test plan, FAT protocol and shipment release for a hypothetical liquid-cooling skid — with every decision gate and its evidence stated.
Read the case study
FAT Nonconformance Investigation — Cooling Skid Differential Pressure
Independent study · Data center cooling
A skid that reached only 78% of required differential pressure at design flow. Full D1–D8: containment, fishbone to 5-Why, validated root cause, corrective action, verification, prevention — and a shipment disposition that changes as evidence accumulates.
Read the case study
Artifacts
Engineering documents
MQA-SQA-001 · Rev A
XLSXSupplier Qualification Assessment — Northstar Thermal Systems
Weighted maturity assessment across eleven control areas, with live scoring formulas and decision bands.
Synthetic data — not for production use
Download XLSX
MQA-MRR-001 · Rev A
XLSXManufacturing Readiness Review — LC-1000
Readiness checklist across engineering, supply chain, manufacturing, quality, test and documentation, with open actions.
Synthetic data — not for production use
Download XLSX
MQA-ITP-001 · Rev A
XLSXInspection & Test Plan — LC-1000 Liquid Cooling Skid
Operation-level inspection and test requirements with owner quality points and required records.
Synthetic data — not for production use
Download XLSX
MQA-FAT-001 · Rev A
PDFFactory Acceptance Test Protocol — LC-1000
Preconditions, test steps and acceptance criteria across visual, mechanical, controls, performance and documentation scope.
Synthetic data — not for production use
Download PDF
MQA-8D-001 · Rev A
PDF8D Report — Cooling Skid Differential Pressure Nonconformance
Full D1–D8 investigation record including containment, root cause, corrective action, verification and prevention.
Synthetic data — not for production use
Download PDF
MQA-SRC-001 · Rev A
PDFShipment Release Checklist — LC-1000
Final release gate: FAT status, hold-point NCR closure, deviations, documentation turnover and preservation controls.
Synthetic data — not for production use
Download PDF
MQA-SSC-001 · Rev A
XLSXSupplier Quality Scorecard — Template
Reusable quarterly scorecard: FAT first-pass yield, defects per unit, NCR aging, CAPA closure and documentation timeliness.
Synthetic data — not for production use
Download XLSX
Roadmap
Planned in this pillar
Supplier Quality Analytics — Multi-Supplier SPC Dashboard
Independent study · Cp/Cpk, NCR aging, defect Pareto, supplier risk
Data · Quality
Factory Acceptance Strategy for Mission-Critical Switchgear
Independent study · Electrical equipment acceptance
Quality · Infrastructure
Manufacturing Quality at the Source — Supplier Quality Playbook
Independent framework · Reusable templates across the quality lifecycle
Quality