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MEM 3240: Lean Manufacturing Analytics and Decision Tools
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.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- Not open to students who have passed ME 3295 or MEM 3295 when offered as Six Sigma Green Belt / Minitab.
Spring 2027 sections
Taught by Ruimin Chen.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 3:30PM - 4:45PM / TuTh | Ruimin Chen | Storrs | BPB 131 | 45 of 50 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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