AI-powered Statistical Process Control, MSA, and Process Capability analysis. Upload data, ask in plain English, get charts and reports.
25 hands-on WSQ Certified Lean Six Sigma Green Belt labs across the full DMAIC roadmap — project charter, VOC/CTQ, Kano, SIPOC, value stream mapping, sampling and sample size, MSA/Gage R&R, DPMO and process capability (Cp/Cpk), Pareto and run charts, hypothesis testing, correlation and regression, FMEA, DOE and SPC control plans. 4-day course.
8 hands-on Certified Lean Six Sigma Black Belt labs covering DMAIC, project charter, VOC, SIPOC, MSA, capability, hypothesis testing, regression, DOE, FMEA, SPC, control plans, benefits realization, and exam review.
반도체 공정변경(POR vs NEW) 평가 Claude Code 플러그인 — 측정 엑셀 2개로 Ppk·t-test·판정·Evaluation Result 슬라이드 HTML 생성 (Minitab 불필요)
Simulated cover glass manufacturing quality analytics project for MQE portfolio
Automated characterization test rig demonstrating design-of-experiments: sweeps a device under test across its envelope, models the instrument, computes Cpk/yield, and shows a failure corner that one-factor-at-a-time testing misses but full-factorial DOE catches. Live shmoo explorer included.
Python-based SPC and process capability analysis for simulated manufacturing quality data.
Gatekeeper is a personal/internal calculation aid, not a validated quality system. Treat every number it produces as a calculation to be reviewed by a qualified person, not as a substitute for a validated SPC software package (Q-DAS, Minitab, etc.) when a real production release or DTS decision is on the line.
Real-time manufacturing quality prioritization system combining SPC, predictive analytics and Power BI for industrial decision support.
Automated Process Capability Analysis (SPC) tool for massive production datasets. Supports Normal and Non-Normal distributions, Box-Cox/Johnson transformations, and automated subgroup reporting. Built as a high-performance alternative to manual statistical software.
A statistical tool modeled to measure process capability and estimate production yield
Python toolkit for Cp/Cpk, PFMEA, OEE, Gauge R&R, SPC, process data, and manufacturing improvement.
Add a description, image, and links to the process-capability topic page so that developers can more easily learn about it.
To associate your repository with the process-capability topic, visit your repo's landing page and select "manage topics."