Description

LSS Black Belt – Course Description

The Lean Six Sigma Black Belt program equips experienced practitioners with the advanced methods, leadership techniques, and strategic mindset needed to drive enterprise-wide improvement. At your own pace with 12 months of access, you’ll master multivariate statistical analysis, design and optimize experiments, manage complex change initiatives, and coach Green Belts and project teams to sustainable results. Through real-world case studies, case exercises, and a capstone project, you’ll emerge ready to lead high-impact process transformations, align improvement initiatives with business strategy, and build a culture of continuous improvement across your organization.  This program is accredited by the Council for Six Sigma Certification.

NOTES:

1. This program includes all Green Belt material as well; therefore, a Green Belt certification is NOT required to take this course.

2. This program uses SigmaXL statistical software and will include a license for 1 person.

Learning Objectives

• Lead and mentor cross-functional improvement teams, serving as a coach for Green Belts and project stakeholders.
• Apply advanced statistical techniques—ANOVA, regression, multivariate analysis, and time-series forecasting—to uncover root causes and predict outcomes.
• Plan, design, and analyze experiments using DOE methods (full factorial, fractional, and response surface) to optimize key process variables.
• Develop and validate robust Measurement Systems Analysis (MSA) and process capability studies to ensure data integrity and process stability.
• Conduct comprehensive risk assessments and FMEAs, integrating results into project charters and control plans.
• Use strategic deployment tools (Hoshin Kanri, QFD, etc.) to align improvement projects with organizational objectives.
• Integrate Lean methods—value stream mapping, SMED, TPM, Kanban—into Six Sigma projects for flow optimization and waste elimination.
• Implement advanced simulation and modeling techniques (Monte Carlo, ARIMA) to evaluate process scenarios and support decision-making.
• Design and sustain control systems—SPC, visual dashboards, Leader Standard Work—to lock in gains and track performance over time.
• Lead change management efforts, employing coaching mindsets (GROW, Kata), stakeholder engagement strategies, and communication plans.
• Synthesize project learnings into executive-level presentations, demonstrating measurable financial and operational impact.