A Grafana panel plugin for monitoring process stability over time. Supports Xbar-R, Xbar-S, and XmR charts with automatic calculation of control limits.
AI-powered Statistical Process Control, MSA, and Process Capability analysis. Upload data, ask in plain English, get charts and reports.
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.
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.
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
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.
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.
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.
Simple Cp Cpk calculator with Python example and web tool
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.
Supplier quality engineering control tower: SPC, process capability, Pareto and root-cause analysis applied end to end on a synthetic manufacturing dataset. Portfolio project.
JMP-based lithography line-width CD control, SPC, ANOVA, and process capability analysis using NIST wafer data.
Simulated cover glass manufacturing quality analytics project for MQE portfolio
Physics-based cosmetic finish process-capability simulator for anodizing and PVD thin-film coatings
Talaşlı imalat ve CNC işleme merkezleri için hepsi-bir-arada mühendislik istasyonu: SPC (Cp, Cpk), ISO 286 Tolerans & Geçme, G-Kod Simülatörü & Strok Denetimi, Kesme Gücü, Yüzey Pürüzlülüğü (Ra), Parça Maliyeti ve Kurumsal PDF Raporlama.
Process capability analysis of manufacturing dataset in Excel
Open-source Power BI custom visual for statistical distributions: manual bin control, normal curve, LSL/USL + Cp/Cpk, sigma level + DPMO, Anderson-Darling p-value, Q-Q plot, box plot. 6 languages. MIT.
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