The Lean Six Sigma Green Belt course is designed for professionals who face challenges such as process inefficiencies, wasted resources, and inconsistent quality. It prepares participants to lead medium-complexity improvement projects, applying data-driven methods to deliver sustainable results. **Learning Objectives:** • Apply the DMAIC methodology to structure and execute improvement projects. • Use analytical tools to identify root causes and implement effective solutions. • Develop leadership and change management skills to guide teams through transformations. • Integrate Lean and Six Sigma principles to reduce waste and improve operational performance.

Requisitos

Lean Belt certified.

Workload

40 hours

Formatos

In-person and Online

Content

**Basic Structure:** • Basic Statistics • Normal Distribution • Measurement System Analysis (Kappa and R&R) • Basic Charts • Data Exploratory Analysis – group exercises • Capability Calculation – Discrete and Continuous Data • Hypothesis Test (comparison of averages, medians and variation using: ANOVA, 1-Sample-T,  2-Sample-T, F-Test, Levene Test) • Squared Chi Tests • Simple Regression Analysis • Statistical Process Control (SPC) for continuous data (Xbarra-R, Xbarra-S, IMR) • Statistical Process Control (SPC) for discrete data (c, u, p, np) • Test **Workload****:** 32 or 40 Hours - The workload can be adjusted by removing some exercises and reducing the level of coverage of some topics. **Pre-Work****:** Not available **NOTE:**** **There is an option of using Minitab or Action software for statistical analysis ** The structure may be adjusted