Lean Six Sigma Black Belt Certification Bukit Merah, Central

Course details

The IASSC Certified Lean Six Sigma Black Belt (ICBB) is a professional who is well versed in the Lean Six Sigma Methodology, who leads improvement projects in any Service, Transactional or Manufacturing industries. A Lean Six Sigma Black Belt possesses a thorough understanding of all aspects within the phases of D-M-A-I-C. They understand how to perform and interpret advanced Six Sigma tools and how to use standard and advanced principles of Lean.

Day 1: Fundamentals of Six Sigma

• Meanings of Six Sigma
• Organisational Drivers
• Project Selection Process
• Lean Concepts
• Understanding Lean
• The History of Lean
• Lean & Six Sigma
• DMAIC and Design Methodologies
• Deliverables of a Lean Six Sigma Project
• Voice of the Customer, Business and Employee
• Six Sigma Roles & Responsibilities

Day 2: Conducting Six Sigma Define Phase

• Understand the Customer
• Project Management
• Defining a Process
• Critical to Quality
• Sampling Techniques & Uses Central Limit Theorem
• Hypothesis Testing
• Genral Concepts & Goals of Hypothesis Testing
• Significance, Practical vs Statistical Alpha & Beta Risks
• Types of Hypothesis Test

Hypothesis Testing with Normal Data

• One & Two sample t-tests
• One sample variance
• One Way ANOVA: Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

Hypothesis Testing with NonNormal Data

• Mann-Whitney
• Kruskal-Wallis
• Characteristics
• Cost of Poor Quality
• Basic Six Sigma Metrics
• Building a Business Case & Project Charter
• Developing Project Matrics
• Financial Evaluation & Benefits Capture

Day 3: Conducting Six Sigma Measure Phase

• Process Concepts
• Cause & Effect / Fishbone Diagrams
• Process Mapping, SIPOC, Value Stream Map
• Scatter Diagram
• Failure Modes & Effects Analysis (Design & Process)
• Basic Statistics
• Descriptive Statistics
• Normal Distributions & Normality Plot
• Graphical Analysis
• Measurement System Analysis Concepts
• Precision & Accuracy Bias, Linearity & Stability Gage Repeatability & Reproducibility
• Variable & Attribute MSA
• Process Capability Studies Capability Analysis
• Attribute & Discrete Capability
• Monitoring Techniques

Day 4 & 5: Conducting Six Sigma Analyse Phase

• Concepts of variation
• Multi-Vari Analysis
• Classes of Distributions
• Inferential Statistics
• Understanding Inference
• Mood’s Median
• Friedman
• Sample Sign
• One-Sample Wilcoxon
• One and Two Sample Proportion
• Chi-Squared (Contigency Tables): Including Tests of Equal Variance, Normality Testing and Sample Size Calculation, performing tests and interpreting results

Day 6, 7: Conducting Six Sigma Improve Phase

Simple Linear Regression

• Correlation
• Regression Equations
• Residuals Analysis

Multiple Regression Analysis

• Non-Linear Regression
• Multiple Linear Regression
• Multi-Variate Analysis
• Confidence & Prediction Intervals
• Residuals Analysis
• Box Cox Data
• Transformation

Designed Experiments

• Experiment Objectives
• Experimental Methods
• Experiment Design
• Considerations

Full Factorial Experiments

• 2 k Full Factorial Designs Linear & Quadratic Mathematical Models Balanced & Orthogonal Designs Fit, Diagnose Model and Centre Pints

Fractional Factorial Experiments

• Fractional Designs
• Confounding Effects
• Experimental Resolution

Day 8: Conducting Six Sigma Control Phase

• Lean Controls
• Control Methods for 5S Kanban
• Poka-Yoke

Statistical Process Control

• Data Collection for SPC
• Variable Charts
• Attribute Charts
• CumSum Chart
• EWMA Chart

Control Methods

• Control Chart Anatomy
• Subgroups, Impact of Variation, Frequency of Sampling
• Center Line & Control Limit Calculations
• Six Sigma Control Plans Cost Benefit/ROI Analysis
• Elements of the Control Plan
• Elements of the Response Plan Project Closure

Who should attend

Managers, Business/Systems Analysts, Systems Engineers, Production Support Personnel, Operations Control, Sales/Marketing Professionals, Finance Executives, Management Trainees and Fresh Graduates.