NIST/SEMATECH e-Handbook of Statistical Methods
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A free online statistics reference produced by NIST with SEMATECH, covering process characterization, control charts, capability analysis, reliability, and design of experiments. Includes worked case studies and Dataplot code, so you can apply each method to real measurement data.
More resources on Quality Control
IISE - Institute of Industrial and Systems Engineers
The professional society for industrial and systems engineers, publishing ISE magazine, a body-of-knowledge outline, webinars, and its Problem Solved podcast. Useful for mapping what the discipline covers and which specialisations—supply chain, healthcare systems, ergonomics—exist.
asq.org
ASQ.org is the online home of the American Society for Quality, a professional hub for quality practitioners. It offers certifications, training, standards, articles, case studies, and tools on quality management, auditing, statistics, and continuous improvement.
Control of Manufacturing Processes (MIT 2.830J)
Statistical modeling and control of manufacturing processes: design of experiments, response surface modeling, yield modeling, statistical process control, run-by-run and real-time feedback control, applied to semiconductor, metal and polymer processing. Includes 22 lecture videos, problem sets and exams with solutions.
Juran's Quality Handbook
The standard practitioner reference for quality management, organized around Juran's trilogy of planning, control, and improvement. Covers auditing, supplier quality, Six Sigma deployment, and sector-specific practice, giving managers a framework for structuring a quality program across an organization.
Six Sigma Tools for Improve and Control
Fourth course in Kennesaw State University's Six Sigma Yellow Belt specialization, covering correlation and regression, hypothesis testing, kaizen and the PDCA cycle, quality costing, and control charts. Learners can complete the Analyze, Improve, and Control phases of a DMAIC project.
Lean Six Sigma - Green Belt
Packt's Green Belt course on the DMAIC cycle (Define, Measure, Analyze, Improve, Control), covering process metrics, the seven basic quality tools, process mapping, statistical process control and waste reduction. Learners can scope and run a small process-improvement project.