ASQ Approved Lean Six Sigma Green Belt

Overview:

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.