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.
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 Analytics & Six Sigma in Python — integrated workflows for capability analysis, root cause analysis, and statistical process control.
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.
Desktop app for optical and display measurement data analysis: process capability (Ppk/Cpk), AICc best-fit distribution, box plots, correlation, and JMP script generation.
Simulated cover glass manufacturing quality analytics project for MQE portfolio
Process capability analysis of manufacturing dataset in Excel
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.
Physics-based cosmetic finish process-capability simulator for anodizing and PVD thin-film coatings
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