Statistical Process Control Charts Library for Humans
-
Updated
Jan 12, 2023 - Python
Statistical Process Control Charts Library for Humans
Python module for creating Shewhart statistical process control charts
Calibrated simulation and detectors for MES-embedded carbon-intensity monitoring of energy anomalies in machining-style processes. Characterizes the adaptive-baseline inertia blind spot and proposes an event-anchored + residual-CUSUM detector that closes it. Reproducible: code, raw sweep data, and figure scripts.
AI-powered Statistical Process Control, MSA, and Process Capability analysis. Upload data, ask in plain English, get charts and reports.
Source repository for the open-access, free book Process Improvement using Data.
Process Analytics & Six Sigma in Python — integrated workflows for capability analysis, root cause analysis, and statistical process control.
Open-source spectroscopy application for controlling and taking measurements from Wasatch Photonics spectrometers.
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.
10 hands-on Lean Six Sigma Black Belt labs covering DMAIC, project selection, VOC, CTQ, SIPOC, charter, process mapping, MSA, capability, hypothesis testing, regression, FMEA, Lean waste, Kaizen, 5S, DOE, pilot planning, SPC, control plans, benefits validation, and exam readiness.
Package for converting Shimadzu spc files to csv (see also narishke.it/spc-convert.html)
A Python package for performing calculations and generating figures that facilitate an understanding of process variation.
The statistical process control library for Python. Validated against published reference data.
Courseware for the Certified Lean Six Sigma Green Belt (CLSSGB) course (C481) by Tertiary Infotech Academy — 493-slide deck, Lesson Plan, Learner Guide and 25 hands-on DMAIC labs covering VOC/CTQ, SIPOC, VSM, MSA/Gage R&R, hypothesis testing, regression, FMEA, DOE, SPC and control plans.
Python script for retrieving and viewing SPC forecasts
Package for manipulating SPC severe reports
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.
Real-time Statistical Process Control (SPC) monitoring for LLMs
Open-source SPC platform for manufacturing quality control — real-time control charts, capability analysis, gage R&R, and FAI management
Add a description, image, and links to the spc topic page so that developers can more easily learn about it.
To associate your repository with the spc topic, visit your repo's landing page and select "manage topics."