Lean Six Sigma BLACK Belt Training & Certification programme
Growing businesses, geographical expansions and close competitive contest, have caused a need for accurate inputs which can be benchmarked correctly and from which analysis and conclusions can be drawn. While business objectives are often brainstormed in board meetings and leadership forums, a void remains in how they are translated into organisational capability as well as benchmark and process performance. This ten-day programme has been designed to bridge this gap.
Key Facts
- Duration: 8 days, 10am-5pm (48 hours)
- Delivery Mode:
- Live Online
- On campus (please note our campus is currently closed due to Covid-19)
- Fees: SGD $8,239, inclusive of GST
- Quality Assurance Engineers, Project Managers, Team leaders, Software Professionals, Practitioners, Software Quality
- Assurance team members and Senior Management
- Management team of Organisations who intend to implement and practice Six Sigma
- Those who want to get certified as Black Belt in Six Sigma
- Future managers including management students
- Any other professional members who are doing research, innovations or consulting in process improvement practices
London School of Business & Finance in Singapore has gathered together a team of highly experienced Lean Six Sigma practitioners and faculties – from one of the big-four accounting firms – to deliver the training.
Seminar, class participation, printed materials, supplementary readings, and case studies.
Lean Six Sigma Black Belt
Candidates should be Six Sigma Green Belt trained/certified.
Course overview
- Six Sigma methodology and DMAIC process
- Highlights role of Black Belt and other team members for successful implementation
- Project selection and defining techniques for maximum impact
- How to convert practical problem to statistical problem and derive statistical solution then convert it to practical solution for implementation
- Project management techniques - How to present your project, project closure and key to successful transition
- How to use Minitab for statistical analysis
Course outline
- Project Charter, VOC to CTQs, Kano Model, SIPOC
- Process Capability, Segmentation & Stratification
- Measurement System Analysis (Gage & Attribute R&R)
- Box Plot, Rolled Through Put Yield, Process Map Analysis
- Pareto, Concept of Lean, C&I Matrix, Hypothesis Testing
- Correlation, TRIZ, C&B Matrix, Mistake Proofing, FMEA
- Process Management Charts, SPC, Response Plan
- Fishbone Diagram, Data Collection Plan Normality Study
- Run Chart, Control Chart, Sampling Strategy, Regression
- Hypothesis - Formation, Alpha and Beta Risks; Test of Means, Variances, Ratios
- Hypothesis Testing of One Y,X pair: Chi Square, ANOVA (Analysis of Variance)
- Analysis of Multiple Variables: Concept of Rational Sub grouping, ANOVA (Analysis of Variance)
- Case study on Hypothesis testing - Concept of Statistical test flow chart
- Screen Potential Causes - Design of Experiments
- Significance of DOE (Design of Experiments) to causation
- DOE Terminology: Main Effects; Interactions; Factors; Settings; Factorial Designs; Degrees of Freedom
- Introduction to Factorial Design- Full and Fractional Factorial
- Factors and Output; DOE requirements; Setting up a DOE study - understanding Alias Table
- Main Effects Plot; Interactions Plot, Pareto with Confidence Intervals, significance of Standardized effect
- Change Management Tools like A-RM-I, GRPI, Stakeholder Analysis, Elevator Speech, Threat and opportunity
Request More Information
Contact a programme advisor by calling
+65 6580 7700