Introduction

In today’s competitive and efficiency-driven environment, organizations must continuously improve processes, reduce waste, and enhance quality to achieve operational excellence. Lean Six Sigma combines the principles of Lean (waste reduction) and Six Sigma (variation reduction) to deliver measurable performance improvements.

This program, developed by Global Horizon Training Center, equips participants with the knowledge, tools, and techniques required to lead process improvement projects using the DMAIC (Define–Measure–Analyze–Improve–Control) methodology. It focuses on practical application, enabling participants to identify inefficiencies, solve problems, and implement sustainable improvements.

Participants will gain hands-on experience in data-driven decision-making, root cause analysis, and process optimization, preparing them for Green Belt certification and real-world project execution.

Course Objectives

By the end of this program, participants will be able to:

• Understand Lean and Six Sigma principles and methodologies
• Apply the DMAIC framework to process improvement projects
• Identify and eliminate waste and process inefficiencies
• Use data-driven tools for analysis and decision-making
• Conduct root cause analysis and problem-solving
• Improve process performance and quality
• Implement sustainable improvements and control mechanisms
• Lead Green Belt-level improvement projects

Target Audience

This program is designed for:

• Process Improvement Professionals
• Quality Assurance and Continuous Improvement Teams
• Operations and Production Managers
• Project Managers and Engineers
• Business Analysts
• Professionals involved in performance and process optimization

Outline

Day 1: Lean Six Sigma Foundations & Define Phase

• Introduction to Lean and Six Sigma Concepts
• Overview of DMAIC Methodology
• Roles and Responsibilities (Green Belt, Black Belt)
• Voice of the Customer (VOC)
• Project Selection and Charter Development
• SIPOC (Supplier, Input, Process, Output, Customer)
• Defining Problem Statements and Goals

Day 2: Measure Phase

• Process Mapping and Value Stream Mapping
• Data Collection Planning
• Types of Data and Measurement Systems
• Basic Statistics for Six Sigma
• Measurement System Analysis (MSA)
• Establishing Baselines and Process Capability

Day 3: Analyze Phase

• Identifying Root Causes of Problems
• Cause-and-Effect (Fishbone) Diagram
• 5 Whys Analysis
• Pareto Analysis
• Hypothesis Testing Basics
• Data Analysis Techniques
• Identifying Key Process Drivers

Day 4: Improve Phase

• Generating and Evaluating Solutions
• Lean Tools for Waste Elimination (5S, Kaizen)
• Process Redesign and Optimization
• Risk Analysis (FMEA)
• Pilot Testing and Implementation
• Cost-Benefit Analysis

Day 5: Control Phase & Certification Preparation

• Control Plans and Monitoring Systems
• Standardization and Documentation
• Statistical Process Control (SPC) Basics
• Sustaining Improvements
• Project Closure and Reporting
• Certification Exam Preparation
• Case Studies and Practical Application