LSS Green Belt
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
There is no prerequisite
Workload
80 hours
Formatos
In-person and OnlineContent
**Basic Structure:**
WEEK 1
INTRODUÇÃO
• Six Sigma Definition
• Lean Definition - the concept of value
• 8 Lean Wastes
• DMAIC Flow
• Process View Y=f(x)
• Combining Lean with Six Sigma for process improvement
• Round 1 – Orders simulation
**Definition phase**
• Projects’ identification
• Financial Impact on Projects
• Identification of customer needs – voice of customer / voice of process
• Definition of Project indicators
• Business Case – “Elevator Pitch”
• Scope Definition – inside and outside matrix / SIPOC
• Project group Division
• Schedule
• Project Contract
• Implementation of concepts in the order simulation exercise
**Measurement phase**
• Process Map
• Value Stream Map
• Activities that add value/ do not add value / Process requirements
• Cause & Effect Diagram (Fishbone)
• Cause & Effect matrix, and Effort x Impact Matrix
• Implementation of concepts in the order simulation exercise
• Round # 2 – Comparing results with round 1
• Types of Data
• Basic Statistics (measurements of center and variation)
• Normal Distribution
• Data Collection – Operating Definition
• M&M Exercise
• Planning the Data Collection – Catapult exercise
• Basic Graphs (Pareto, Scatter, Trend)
• Data Exploratory Analysis – Catapult Exercise
• Process Performance – Sigma Level – Continuous Data (for normal distributions) and discrete data
• Assessment
WEEK 2
ANALYSIS PHASE
• FTA – Failure Tree Analysis / 5 Why’s
• FMEA
• Statistical Analysis Map
• Lean Tools (Production leveling, SMED, bottleneck analysis)
• Hypothesis Test (comparing averages, medians, and variation using: ANOVA, 1-Sample-T, 2-Sample-T, F-Test, Levene Test)
• Squared Chi Tests
• Simple Regression Analysis
• Exercises of implementation of each tool
**Improvement phase**
• Creation of Action Plan – 5W2H
• 5S
• Streamlined flows, Spaghetti Diagram
• Labor Flexibility
**Control phase**
• System of Process Control and Control Plan
• Poka-yoke – Error Proof Devices
• Process Standardization
• SPC – Statistical Process Control for Continuous and Variables
**Workload****:** 80 Hours
**Pre-Work:** video classes on SETA virtual platform
**NOTE:**
- There is the option of using Minitab or Action software for statistical analysis
- - Throughout all the phases of the DMAIC flow, techniques and tools for using Artificial Intelligence in project execution will be covered.
**Differentiators:** It also includes SETA’s digital certificate (electronic badge), issue by Open Badge with Blockchain authentication standard (the same used for Bitcoins), that may be used in the social networks, email signatures, etc.
** The structure may be adjusted