Six-Sigma Yellow Belt

Course Overview

The Six Sigma Yellow Belt certification is aimed at those new to the world of Six Sigma who have a small role, interest, or need to develop foundational knowledge. Yellow belts can be entry level employees who seek to improve their world or executive champions who require an overview of Six Sigma and define, measure, analyze, improve and control model (DMAIC).

This certification adopts the approach of advancing the concept and potential of using Six Sigma tools and methodologies within an organization.At the end of this course, the participants will be able to understand Six Sigma Concept and its basic application for continuous improvement. Further, they will understand their role as yellow belt for six sigma implementation

Course Schedule

Request Group Training

Target Audience

Quality Management Staff, Operational Staff, Supervisors and officer level, people involved in continuous improvement, customer service staff

Course Objectives

Communicate using Six Sigma terminology
Relate key Six Sigma concepts to overall business objectives
Explain a wide variety of quality, decision-making, project management, and communication tools you can use to help solve problems and improve processes during the Six Sigma DMAIC process

Course Prerequisites

The Certified Six Sigma Yellow Belt has no experience or education requirements. The Certified Six Sigma Yellow Belt is aimed at candidates who have a small role, interest, or need to develop foundational knowledge

Expected Accomplishments

At the end of this course, the participants will be able to understand Six Sigma Concept and its basic application for continuous improvement. Further, they will understand their role as yellow belt for six sigma implementation.

Course Outline

Welcome

Introduction

Pretest

Six Sigma Fundamentals
1. Six Sigma foundations and principles
2. Lean foundations and principles
3. Six Sigma roles and responsibilities
4. Team basics
5. Quality tools and Six Sigma metrics

Define Phase
1. Project identification
2. Project management (PM) basics

Measure Phase
1. Basic statistics
2. Data collection
3. Measurement system analysis (MSA)

Analyze Phase
1. Process analysis tools
2. Root cause analysis
3. Data analysis
4. Correlation and regression
5. Hypothesis testing

Improve and Control Phases
1. Improvement techniques
2. Control tools and documentation