Lean Six Sigma Black Belt Certification Training Course.

Lean Six Sigma Black Belt Certification Training Course.

Introduction

The Lean Six Sigma Black Belt certification is a globally recognized credential that demonstrates advanced knowledge and leadership in process improvement methodologies. This 5-day intensive training course is designed to provide participants with the advanced skills necessary to lead complex improvement projects using the Lean Six Sigma methodology. The course covers a detailed understanding of the DMAIC (Define, Measure, Analyze, Improve, Control) process, advanced statistical tools, project management, and leadership techniques to drive sustainable improvements in organizations. Participants will be fully prepared to lead cross-functional teams, mentor Green Belts, and manage large-scale process improvement initiatives.

Course Objectives

By the end of this training, participants will:

  1. Gain an in-depth understanding of the Lean Six Sigma methodology, including DMAIC and DFSS (Design for Six Sigma).
  2. Master advanced statistical analysis techniques for process improvement.
  3. Learn how to define, measure, analyze, improve, and control complex business processes.
  4. Develop skills to lead and manage Lean Six Sigma projects and teams.
  5. Be proficient in tools like hypothesis testing, regression analysis, and process optimization.
  6. Be fully prepared to take the Lean Six Sigma Black Belt certification exam and apply the methodology to real-world challenges.

Who Should Attend?

This course is ideal for:

  • Experienced Six Sigma Green Belts looking to advance to Black Belt certification.
  • Process improvement professionals, project managers, and quality managers responsible for leading cross-functional teams.
  • Senior leaders and business executives looking to implement Lean Six Sigma across their organizations.
  • Anyone seeking to gain in-depth expertise in Lean Six Sigma methodology and become a certified Black Belt.

Day 1: Introduction to Lean Six Sigma and DMAIC Overview

  • Session 1: Overview of Lean Six Sigma

    • The history and evolution of Lean Six Sigma
    • The role of a Black Belt in process improvement initiatives
    • Key principles of Lean Six Sigma: Waste reduction, continuous improvement, and defect reduction
    • Lean vs. Six Sigma: Integrating Lean principles with Six Sigma tools
  • Session 2: DMAIC Framework and Project Selection

    • The DMAIC (Define, Measure, Analyze, Improve, Control) methodology
    • Understanding the project life cycle: From problem identification to solution implementation
    • Selecting projects for Lean Six Sigma: Criteria and project scoping
    • Defining customer requirements and establishing project goals (Critical to Quality – CTQ)

Day 2: Measurement and Data Collection

  • Session 3: Define Phase

    • Defining the problem, project objectives, and goals
    • Voice of the Customer (VOC) and Critical to Quality (CTQ) mapping
    • Project charter development: Scope, deliverables, stakeholders, and resources
    • Creating a project plan and timeline
  • Session 4: Measure Phase

    • Identifying key metrics and KPIs for process performance
    • Data collection methods: Sampling, measurement systems analysis (MSA)
    • Process mapping and value stream mapping (VSM)
    • Understanding process variation and creating baseline performance measures

Day 3: Advanced Analysis Techniques

  • Session 5: Analyze Phase

    • Analyzing data and identifying root causes of problems
    • Using statistical tools: Histograms, Pareto analysis, and boxplots
    • Hypothesis testing and analysis of variance (ANOVA)
    • Regression analysis and correlation: Exploring relationships between variables
    • Failure Modes and Effects Analysis (FMEA) for risk management
  • Session 6: Advanced Statistical Tools

    • Design of Experiments (DOE) for process optimization
    • Statistical process control (SPC) and control charts
    • Capability analysis: Process capability indices (Cp, Cpk, Pp, Ppk)
    • Conducting regression analysis for predictive modeling

Day 4: Improvement and Control Strategies

  • Session 7: Improve Phase

    • Developing potential solutions and process improvement strategies
    • Brainstorming and prioritizing solutions: Using tools like affinity diagrams and prioritization matrices
    • Implementing solutions: Pilot testing and simulations
    • Process redesign and failure-proofing solutions (Poka-yoke)
  • Session 8: Control Phase

    • Establishing control plans to sustain improvements
    • Standardizing processes and documentation
    • Control charts for monitoring process stability
    • Creating dashboards for ongoing performance monitoring
    • Developing training plans and knowledge transfer

Day 5: Leadership, Project Management, and Exam Preparation

  • Session 9: Leading Lean Six Sigma Projects

    • The role of the Black Belt as a project leader and mentor
    • Leading cross-functional teams: Communication and conflict management
    • Change management strategies: Overcoming resistance and building support
    • Leading Kaizen events and workshops for continuous improvement
  • Session 10: Lean Six Sigma in Action

    • Case studies: Real-world examples of Lean Six Sigma in various industries
    • Group activities: Solving complex process improvement challenges using DMAIC
    • Identifying potential organizational barriers and how to overcome them
    • The importance of building a culture of continuous improvement
  • Session 11: Certification Exam Preparation

    • Review of key topics: DMAIC, statistical tools, project management, leadership
    • Practice questions and mock exams for Black Belt certification
    • Exam-taking strategies: Time management, question analysis, and approach
    • Final Q&A session to address participant concerns and ensure exam readiness