Back to blog

TAG ARCHIVE

quality-gate

1 MARIA OS blog articles tagged quality-gate, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

EngineeringFebruary 12, 202636 min read

Engineering Case Study: Quality Gate Control Theory for Manufacturing AI

Applying established control theory, R2R-aware manufacturing practice, and MARIA OS audit gates to simulated semiconductor quality cascades

Manufacturing AI systems face a stability problem that traditional software governance often does not: defect rates evolve as continuous dynamical variables under material variation, tool wear, and environmental drift. This engineering case study applies established PID, Lyapunov, and BIBO analysis to quality gates, positions the approach against semiconductor run-to-run control, and shows how MARIA OS adds fail-closed escalation, evidence bundles, and audit coordinates. The reported 94.7% defect containment, sub-200ms gate response, and 0.12x/stage attenuation are simulation results on a tuned linear model, not production fab measurements.

manufacturingquality-gatecontrol-theorystability-analysisreal-timedefect-rategovernance