Introduction:

This program is designed to prepare participants for the certification exam only.

The ASQ Approved Lean Six Sigma Green Belt certification is a widely recognized credential that validates proficiency in process improvement methodologies, quality management, and statistical analysis focusing on eliminating waste, reducing defects, and enhancing operational efficiency through data-driven methodologies. It equips professionals with a structured framework to identify inefficiencies, improve process reliability, and make data-driven decisions. This training program covers Lean Six Sigma principles, process evaluation techniques, and structured problem-solving methodologies.

Program Objectives:

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

Explore the principles and methodologies of Lean Six Sigma.
Analyze key strategies used for defining and measuring process performance.
Identify statistical methods used for root cause analysis.
Use structured techniques for process improvement and control.
Prepare for the certification exam.

Targeted Audience:

Process Improvement Professionals.
Quality Assurance Managers and Specialists.
Project Managers seeking efficiency improvements.
Operational Managers and Supervisors.
Team Leaders involved in performance and productivity enhancement initiatives.

Program Outline:

Unit 1:

Foundations of Lean Six Sigma and the Define Phase:

Principles of Lean Six Sigma and key methodologies.
Overview on the evolution and applications of Lean and Six Sigma.
Essential elements of the DMAIC framework.
Project selection criteria and defining problem statements.
Roles and responsibilities in Lean Six Sigma project management.
Considerations for process efficiency and waste reduction.

Unit 2:

Defining Project Objectives and Collecting Data (Define & Measure Phases):

Elements of project charters and their significance.
Methods for identifying stakeholders and gathering requirements.
Concepts of process mapping and value stream analysis.
Techniques for data collection and classification.
Fundamentals of measurement systems and statistical principles.
Frameworks for evaluating process performance indicators.

Unit 3:

Analyzing Data and Identifying Root Causes (Measure & Analyze Phases):

Statistical methods for process capability assessment.
Approaches to identifying inefficiencies and performance gaps.
Key tools for root cause identification, including Fishbone diagrams and Pareto analysis.
Interpretation methods of hypothesis testing in quality assessments.
How to evaluate relationships between process variables.
Considerations for prioritizing corrective actions.

Unit 4:

Process Enhancement and Control Strategies (Improve & Control Phases):

Methods for evaluating potential process modifications.
Risk identification and assessment techniques.
Approaches to maintaining process consistency and stability.
Control mechanisms for monitoring key performance indicators.
Strategies for ensuring sustainable process improvements.
Overview of compliance considerations in quality management.

Unit 5:

Exam Preparation:

Review of key concepts and skills.
Sample exam questions and their potential answers.
Exam format and structure overview.
Resources for further study and practice.

Note: This program is designed to prepare participants for the certification exam only.