Build on Lean Six Sigma Yellow Belt fundamentals with advanced topics offered through our Lean Six Sigma Green Belt course.
Centered around the Six Sigma DMAIC framework (Define, Measure, Analyze, Improve, and Control), participants learn additional tools to diagnose organizational performance barriers. Discover the power of data modeling, risk management methods, and capacity management strategies to drive improvements in your business. Participants choose from three learning tracks: Healthcare, Manufacturing, and Knowledge Work.
This course goes beyond DMAIC tools to cover other vital components of a continuous improvement framework. Learn the importance of organizational culture and leadership behaviors and explore proven strategies to impact these areas. Gain knowledge of management approaches that instill systems thinking and leadership discipline to support both strategic planning and daily operations.
Over a three-day period, you will learn practical ways to implement advanced Lean Six Sigma strategies and leadership discipline into your organization. Expand your capability for data-driven root-cause analysis using Six Sigma statistical modeling. Learn how to create management systems to foster “line of sight” at all levels of your business. Explore meaningful strategies to create a culture of continuous improvement and innovation.
Gain skills that leaders at every level of an organization need to be effective in today’s complex and ever-changing business environment.
Lean Six Sigma Yellow Belt is a prerequisite for this course. Lean Six Sigma Green Belt Certificate can be taken as a standalone course or as a prerequisite for the Executive Certificate in Organizational Leadership.
All courses include:
Who should attend
- Mid to upper-level managers responsible for measurable growth who are looking for skills to implement cost reductions and improve organizational capability
- Leaders or teams charged with improving organizational performance
What you will learn
- Apply the Lean Six Sigma DMAIC framework to solve organizational problems.
- Demonstrate knowledge of Six Sigma modeling tools to target the causes of performance gaps.
- Gain an understanding of systemic thinking and approaches to enhance management discipline.
- Apply strategic planning methods to support organizational alignment and focus on continuous improvement.
Julie Cady-Reh, MS, MBA, Certified Lean Six Sigma Master Black Belt, JH Bloomberg School Doctorate in Public Health Candidate
Executive Education Faculty, Carey Business School
Julie Cady-Reh, MS, MBA, Certified Lean Six Sigma Master Black Belt, JH Bloomberg School Doctorate in Public Health Candidate, has served in senior level administrative leadership and faculty roles within the Johns Hopkins University and Health System for 14 years. She currently serves as joint faculty for the Johns Hopkins Bloomberg School of Public Health (Health Policy & Management) and the Carey Business School (Business Analytics & Risk Management and Healthcare Management). Julie has received three Johns Hopkins University Excellence in Teaching awards over the past four years. She has decades of experience across a multitude of industries including Healthcare, Public Health Services, Manufacturing, and Higher Education.
Inside and outside of the classroom, Julie shares her passion by helping others, with strong focus on skill development in Healthcare Services Delivery and Leadership, Enterprise Risk Management, Operations Management, Strategic Planning, and Continuous Improvement. She has also consulted a wide array of non-profit organizations within the local Baltimore City community and currently serves on the Board of Directors at The St. Paul’s Schools in Brooklandville, MD. Julie is a published academician, authoring papers designed to assist departmental leaders and clinicians with the application of translational research in healthcare services delivery. Her innovative work in product development and manufacturing at Xerox Corporation is recognized through a U.S. Patent: Systems Using On-line Liquid Characterization Apparatus.