control-charts

Minitab 2026 Statistical Analysis Professional Suite - Practical Windows release with complete modules and an easy first launch.

Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.

I improved customer experience at the Indian Market located in Milpitas using Lean Six Sigma techniques. The primary focus of this project was to reduce customer checkout time, managing stockouts and excess of inventory and optimize the store layout. A DMAIC approach was followed for the process improvement. The checkout time was reduced to 18% …

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.

Free online statistical tools built with Django.

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.

Open-source SPC platform for manufacturing quality control — real-time control charts, capability analysis, gage R&R, and FAI management

A repository for our working paper titled: "Adapting OpenAI’s CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control"

The statistical process control library for Python. Validated against published reference data.

Objective of this project is to identify the in-control data points and eliminate out of control data points to set up distribution parameters for manufacturing process monitoring. I utilized PCA for dimension reduction and Hotelling T2 and m-CUSUM control charts to established mean and variance matrices.

This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software

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.

Production-ready Python and pipeline patterns for automating Statistical Process Control — control charts, out-of-control rule detection, MES/SCADA ingestion, alerting, and compliance reporting. Source for statistical-process-control.org.

A comprehensive process control charting application for statistical process control (SPC) with Individual and Moving Range (I-MR) charts, distribution analysis, and advanced data management capabilities.

Quality management analytics on synthetic ISO 13485 data: p-chart, Pareto, CAPA effectiveness and audit findings for the management review

We provide the codes for calculating the ARL, the EARL and the EQARL values of one-sided charts (EWMA, CUSUM, runs rules), combined with a Shewhart limit, when the process distribution is the shifted exponential. The codes are provided for reproducibility purposes

Statistical quality control in Python: a p-chart for the share of defective samples per shift, with control limits and simulated measurements

BSc dissertation (first class): detecting data drift in neural networks without labels, using depth-based control charts on network embeddings. R, keras3, ddalpha.