Quality Engineering

SPC, capability and Six Sigma. Statistical process control, reliability and design of experiments, then process capability and the DMAIC improvement roadmap.

• Quality, Reliability & Design of Experiments — Statistics that run factories and test labs. Learn statistical process control (x̄-R charts, control limits, rules), process capability Cp and Cpk, tolerance analysis, reliability statistics (MTBF, hazard, bathtub curve), and design of experiments (factorial designs, main effects and interactions).
• Six Sigma, Process Capability & DMAIC — Reducing variation to near-perfect quality. Learn the Six Sigma philosophy, defects, DPU, DPMO and sigma levels (with the 1.5σ shift), process capability (Cp, Cpk, Pp, Ppk), the DMAIC roadmap and its tools (SIPOC, CTQ trees, MSA/Gauge R&R, Pareto, fishbone, 5 Whys, hypothesis tests, regression, DOE, FMEA, control plans), belts and project selection — with Python computing Cp, Cpk, ppm and sigma level.