Certified Lean Six Sigma Black Belt (CLSSBB) Training
About This Course
This Certified Lean Six Sigma Black Belt (CLSSBB) Training course equips professionals with advanced skills in Six Sigma methodologies to drive process improvements and achieve organizational goals. Participants will gain expertise in defining Six Sigma project objectives, establishing project scope, and utilizing DMAIC (Define, Measure, Analyze, Improve, Control) workflows. Key topics include developing SMART goals, process mapping, data collection, and measurement system analysis to set a strong foundation for improvement.
Throughout the course, participants will delve into root cause analysis, hypothesis testing, and various improvement tools like FMEA, Kaizen, and 5S to optimize processes effectively. The training concludes with strategies for long-term control, focusing on statistical process control, control charts, and creating a control plan to sustain improvements. This course prepares professionals to lead Six Sigma projects confidently and recommend actionable follow-up measures based on process control metrics.
What You'll Learn
LO1: Define Six Sigma project objectives to meet process performance standards.
LO2: Establish Six Sigma project scope during based on organizational requirements.
LO3: Execute Six Sigma project using structured problem-solving techniques.
LO4: Evaluate Six Sigma project outcomes to improve process performance.
LO5: Recommend follow-up actions for Six Sigma projects based on process control performance metrics.
Course Outline:
Topic 1: Overview of Six Sigma and Define Phase
• Overview of Six Sigma
• Introduction to continuous improvement and quality
• Introduction to Six Sigma and Lean
• Identify Six Sigma projects
• Six Sigma role players
• DMAIC workflows
• Define Phase
• Overview of Define phase
• Define SMART Goal
• SiPOC
• VOC and CTQ
• Create a Project Charter
• Project acceptability and CAP tools
Topic 2: Measure Phase
• Overview of Measure phase
• Data collection plan
• Process Maps and Value Stream Map (VSM)
• Takt time
• Types of data
• XY matrix
• Measurement System Analysis (MSA)
• Sampling techniques
• Overview of descriptive statistics and statistical charts
• Determine baseline performance
Topic 3: Analyze Phase
• Overview of Analyze Phase
• Root Cause Analysis
• 5W, Fishbone Diagram, Pareto Analysis
• Hypothesis Testing
Topic 4: Improve Phase
• Overview of Improve Phase
• Six Sigma Improvement Tools – Brainstorming, Assumption Busting
• Failure Mode Effect Analysis (FMEA)
• Design of Experiment (DOE)
• Error Proofing, 5S, Kaizen, Just-In-Time
• Weight Criteria Selection Matrix, Pugh Matrix
• Cost Benefit Analysis
Topic 5: Control Phase
• Overview of Control Phase
• Source of Variations and Process Control
• Process Capabilities and Statistical Process Control
• Control Charts
• Control Plan
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum Polytechnic Diploma
• Basic programming skill, preferably Python.
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Age Group: 21 - 65 years old