MEM 3240
Lean Manufacturing Analytics and Decision Tools
University of Connecticut-Waterbury Campus · UGRD · Fall 2026
1 section
Catalog description
Introduces Lean and Six Sigma methods for quality and process improvement using data-driven analysis. Topics include DMAIC, Lean tools, and computational data analysis for process monitoring, root-cause identification, and improvement evaluation. Students use modern analytical software (e.g., Minitab and Python-based tools) to analyze real process data and develop decision-support recommendations for manufacturing and service systems.
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Availability not recently verifiedClass #connecticut_waterbury_campus-2910Fall 2026UGRD3 credits
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