LSS Black Belt
How many improvement projects in your company actually get off the ground and deliver concrete results? The Lean Six Sigma Black Belt course was developed for professionals who want to go beyond problem analysis—they want to lead real change. The training deepens the use of Lean and Six Sigma methodologies, integrating statistical tools, leadership practices, and change management to generate solid and verifiable results.
Specific objectives:
- Master the complete DMAIC cycle, applying statistical and analytical techniques to identify root causes and eliminate waste.
- Develop leadership and change management skills to lead continuous improvement teams in different organizational contexts.
- Ensure control and sustainability of results through standardization systems, indicators, and advanced quality tools.
Being a Black Belt means embarking on a journey of technical and strategic growth. With each module, professionals evolve from executors to agents of change, from analysts to leaders. At the end of the journey, they achieve not only technical mastery, but also the ability to transform processes, people, and results in a lasting way.
IMPORTANT: This training is available only in portuguese and spanish.
Target Audience
Professionals who wish and/or need to develop their skills in the area of business management.
Requirements
There are no prerequisites.
Duration
160 hours
Certificates
Certificates of Participation and Qualification.- Payment Methods
Bank transfer, bill or credit card (cash or installment). - Learning Model
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Content
MODULE 1
Introduction
- Definition of Six Sigma;
- Definition of Lean – The concept of value;
- The 8 Wastes of Lean;
- DMAIC Flow;
- Process View Y=f(x);
- Combining Lean with Six Sigma for process improvement;
- Round 1 – Order simulation.
Definition Phase
- Project identification;
- Financial impact of projects;
- Identification of customer needs – voice of the customer / voice of the process;
- Definition of project indicators;
- Business Case – “Elevator Pitch”;
- Scope definition – inside and outside matrix / SIPOC;
- Project team formation;
- Schedule;
- Project Contract;
- Application of concepts in the order simulation exercise.
Measurement Phase
- Process Map;
- Value Stream Map;
- Value-Adding/Non-Value-Adding Activities/Process Requirements;
- Cause & Effect Diagram (Fishbone);
- Cause & Effect Matrix and Effort X Impact Matrix;
- Types of Data;
- Basic Statistics (measures of center and variation);
- Normal Distribution;
- Data Collection - Operational Definition;
- M&M Exercise;
- Data Collection Planning - Catapult Exercise;
- Basic Graphs (Pareto, Scatter, Trend);
- Exploratory Data Analysis - Catapult Exercise;
- Process Performance - Sigma Level - Continuous Data (for normal distributions) and discrete data.
- First assessment.
MODULE 2
Analysis Phase:
- FTA - Failure Tree Analysis / 5 Whys;
- FMEA;
- Statistical Analysis Map;
- Lean Tools (Production Leveling, SMED, Bottleneck Analysis);
- Hypothesis Testing (comparison of means, medians, and variance using: ANOVA, 1-Sample-T, 2-Sample-T, F-Test, Levene Test);
- Chi-Square Tests;
- Simple Regression Analysis;
- Exercises applying each tool.
- CART Method (Classification and Regression Trees)
Improvement Phase
- Generation of Action Plans – 5W2H;
- 5S;
- Streamlined Flows, Spaghetti Diagram;
- Workforce Flexibility.
Control Phase
- Process Control System and Control Plan;
- Pokayoke - Error-Proofing Devices;
- Process Standardization;
- SPC - Statistical Process Control for Continuous and Variable Processes.
- Second assessment
MODULE 3
Introduction
- The importance of leadership for BB;
- Fundamental leadership equation QxA=E;
- The Role of Black Belt;
- Change Management – The six steps of change management.
Measurement
- Other distributions: Binomial; Poisson, Continuous non-normal;
- Gage R&R – Continuous (destructive and non-destructive tests) and Attribute;
- Capability for non-normal data.
Analysis
- Confidence Interval;
- Sample Size;
- Mood’s Median Test;
- Multiple Regression;
- Logistic Regression.
- Third assessment
MODULE 4
Improvement
- Full Factorial DOE;
- Fractional Factorial DOE;
- Response Surface;
- Multivariate Analysis – Clusters.
Control
- CEP for small batches;
- Time Series;
- Fourth assessment