Join the elite club of Six Sigma experts who can lead significant improvement projects at their organizations. Six Sigma is an industry-standard methodology for process improvement and business transformation. Our Black Belt course is well recognized for its comprehensive and robust content aligned with the international Body of Knowledge (BOK) by ASQ and IASSC. This course will help you become a subject matter expert building on your Green belt training to improve the quality of your organization operations by adopting a data-driven approach and provide you with the skills necessary to work on projects to benefit all types of processes and businesses. Participants will become experts at the different phases of Define, Measure, Analyze, Improve and Control (DMAIC) and learn how to scope and implement a project. Additionally, participants will become experts in deploying quality and statistical tools to achieve lower defect levels and cost.
Course Methodology
Through the combination of interactive lectures, group, and individual presentations, the course will present participants with the chance to practice the skills acquired through exercises and case studies. Additionally, videos will be shown on real-life companies which implemented the Six Sigma methodology. Real-life examples and case studies will be used throughout the training to illustrate the usage of various tools.
Course Objectives
By the end of the course, participants will be able to:
Lead and manage Six Sigma teams
Improve processes using the Define, Measure, Analyze, Improve and Control (DMAIC) Six Sigma methodology (variation removal) and Lean approach (waste removal)
Analyze how Six Sigma concepts relate to the overall business mission and objectives of a unit or an organization.
Collect and analyze data appropriately using various tools in Minitab
Apply advanced tools used in a Six Sigma project
Target Audience
Managers, supervisors, and professionals who wish to utilize the Six Sigma approach in their organizations, gain professional certification or become subject matter experts in Six Sigma.
Target Competencies
Deploying Six Sigma
Problem-solving skills
Change management
Leadership
Team management
Using applied statistics
Lean tools
Note
Note1: Your Six Sigma Black Belt will include pre-class work/reading, and self-study assignments to reinforce what you have learned.
Note 2: Included in the course: A rich workbook that contains the slides and material, +40 useful Six Sigma templates.
Note 3: Participants who attend all sessions will be awarded a Smart certificate of completion after the training. Certification option (included in the fees) can be obtained by submitting an approved Six Sigma project within 6 months of the training completion. Two hours of free coaching (by email) with an experienced Six Sigma Master Black Belt trainer for your project will be provided.
Note 4: Mandatory prerequisite for this course is the attendance of Smart Green Belt Training or an accepted Green Belt certification
Course Outline
Leading and managing a Six Sigma project
Review of Green belt BOK
Fundamentals of Six Sigma and Lean methodologies
Six Sigma, lean, and continuous improvement methodologies
Relationships among business systems and processes
Selecting the correct projects for Six Sigma
Developing the Project scope, charter, and problem statement
Voice of the customer / Critical to Quality (CTQ)
Customer identification
Customer data collection
Customer requirements
Project performance measurement
Project planning, risk assessment, and project launch
Team creation, RACI, and communications planning
Project Management, planning, risk assessment, and project launch
Analytical tools: using Pareto for project scoping
Six Sigma organizational-wide deployment
Organization-wide Considerations
Strategic planning and deployment for initiatives
Leadership
Roles and responsibilities
Organizational roadblocks and change management
Team Management
Team Formation
Team Facilitation
Team Dynamics
Team Training
Impact on Stakeholders
Benchmarking
Business Measures
Performance Measures
Financial Measures
Measuring performance
Data collection
Types of data
Measurement scales
Data measurement plans and methods
Inferential Statistics
Measuring and modeling relationships between variables
Correlation coefficient
Linear regression
Multivariate tools
Point and interval estimates
Tests for means variances, and proportions
Analysis of variance (ANOVA)
Goodness-of-fit (Chi-square) tests
Contingency tables
Nonparametric tests
Advanced Measurement systems analysis and Gauge R&R