AI-powered Statistical Process Control, MSA, and Process Capability analysis. Upload data, ask in plain English, get charts and reports.
A Grafana panel plugin for monitoring process stability over time. Supports Xbar-R, Xbar-S, and XmR charts with automatic calculation of control limits.
Process Analytics & Six Sigma in Python — integrated workflows for capability analysis, root cause analysis, and statistical process control.
WSQ Certified Lean Six Sigma Green Belt (CLSSGB) Training (TGS-2025055775) — 4-day / 32-hour DMAIC course with 25 hands-on activities, Excel datasets, slide deck, Learner Guide and Lesson Plan.
SPC, process capability and Gage R&R for manufacturing: X-bar/R, X-bar/S and I-MR charts with Western Electric and Nelson rules, Cp/Cpk vs Pp/Ppk kept distinct, crossed Gage R&R (ANOVA and AIAG Average & Range). Verified against published results.
Process behavior charts (control charts / SPC) for Python — XmR, Xbar-S, histograms, capability, Taguchi loss. Implements Bishop's Variance Analysis System with chart math validated against published reference results.
Analyzing Electric Circuit Board Defect Dataset for Statistical Process Control using various Quality Tools & Techniques for the enhancement of Quality Control in a Manufacturing Setting.
Reproducible industrial quality-inspection system using OpenCV for defect detection, dimensional measurement, false accept/reject analysis, SPC, and Cp/Cpk evaluation.
WSQ Certified Lean Six Sigma Black Belt (CLSSBB) Training, TGS-2024051900. 5-day practitioner course with 34 hands-on activity packs and a capstone improvement project, plus the full slide deck, Learner Guide and Lesson Plan.
COMSOL 6.4 model of an APCVD poly-Si reactor on a 300 mm wafer | inlet redesign cuts non-uniformity 180% to 3.3% | 14-run CCD, Gaussian-process surrogate, Monte Carlo Cpk, 3D asymmetric exhaust
Perform Six Sigma Data Analysis using Python
Browser-based Statistical Process Control (SPC) tool with 7 chart types, process capability analysis, and distribution visualization. Vanilla HTML/CSS/JS.
Supplier quality engineering control tower: SPC, process capability, Pareto and root-cause analysis applied end to end on a synthetic manufacturing dataset. Portfolio project.
Simple Cp Cpk calculator with Python example and web tool
WSQ courseware for Statistical Process Control (SPC) in Manufacturing (TGS-2026064862): 86-slide deck, Lesson Plan, Learner Guide, 12 hands-on activities and Excel worksheets covering control charts, Cp/Cpk capability and out-of-control root cause analysis. 1-day course by Tertiary Infotech Academy.
Statistical Quality Control (SQC) case study evaluating manufacturing defect rates, process stability, and nonparametric capability using Minitab 22.
Virtual 9-stage TSMC 28nm fab simulation in JMP using sequential RSM and Six Sigma (DMAIC). Achieved >90% yield, tracked cascading defects, and optimized Cpk from 0.94 to 3.84.
JMP-based lithography line-width CD control, SPC, ANOVA, and process capability analysis using NIST wafer data.
製造業における品質管理のための工程能力解析ツール
Process capability analysis of manufacturing dataset in Excel
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