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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.

  • Updated Jul 13, 2026
  • Python
pid-book

Process Analytics & Six Sigma in Python — integrated workflows for capability analysis, root cause analysis, and statistical process control.

  • Updated Jul 30, 2026
  • Python

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.

  • Updated Jul 20, 2026
  • Python

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.

  • Updated Jul 20, 2026
  • Python

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.

  • Updated Jul 21, 2026
  • Python

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.

  • Updated Jul 20, 2026
  • Python

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