Statistical Quality Control

Catalog description

Explores modern statistical methods for quality control and improvement. Discusses the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, with examination of the implementation process to provide context to real-world applications. Emphasizes Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) for a strategic problem-solving framework that can be applied across a range of engineering disciplines.