Course Description
T
he Lean Six Sigma Black Belt program is designed for professionals who lead complex improvement projects and mentor Green Belts. Participants master advanced statistical tools, leadership skills, and change management strategies to deliver high-impact results aligned with business goals and organizational excellence.
Explore the fundamentals of Six Sigma, Lean, and continuous improvement methodologies, and their integration with business systems and strategy. Understand leadership roles, change management, and how organizational measures like benchmarking, performance metrics, and financial analysis guide projects. Develop team leadership, facilitation, communication, and training approaches to build high-performing teams.
Learn to capture the Voice of the Customer (VOC) through identification, data collection, and requirement analysis. Create business cases, problem statements, project scopes, and charters. Apply project management tools such as Gantt charts, RACI models, and tollgate reviews, alongside analytical methods like affinity diagrams, tree diagrams, and prioritization matrices to structure project goals.
Develop expertise in process analysis, metrics, and data collection methods including sampling and measurement plans. Conduct Measurement System Analysis (MSA) to ensure accuracy and reliability. Strengthen statistical foundations in descriptive statistics, probability, and graphical methods. Evaluate process capability using Cp, Cpk, Pp, Ppk, and study non-normal and attribute data performance.
Learn advanced analysis tools to uncover root causes of variation. Apply correlation, regression, ANOVA, hypothesis testing, chi-square, and nonparametric methods. Use multivariate techniques to model relationships. Master FMEA to identify risks and prevent failures, and complement with gap analysis, waste analysis, and root cause techniques.
Apply Design of Experiments (DOE) including one-factor, fractional factorial, and full factorial studies to optimize processes. Leverage Lean methods like cycle time reduction, Kaizen, OEE, and Theory of Constraints to achieve breakthrough results. Pilot, implement, and validate solutions for long-term effectiveness.
Master Statistical Process Control (SPC) through chart selection, rational subgrouping, and chart interpretation. Implement Total Productive Maintenance (TPM), visual controls, and control plans. Sustain improvements with structured documentation, lessons learned, training, and ongoing evaluation to ensure long-term success.
Gain proficiency in DFSS methodologies such as DMADV and IDOV, applying robust design principles and Design for X (DFX). Learn to anticipate customer needs, prevent defects at the design stage, and ensure quality is built into products and processes from the ground up.
