Lean Six Sigma Black Belt
Why to become a Six Sigma Black Belt?
Black Belts are application experts and work projects within the business. They are project team Leaders, working full time to solve problems. Black Belts work on projects that are relatively complex and require significant focus to resolve, projects that usually have a high financial return of the company.
Main Training content
1.0 Define Phase
- The Basics of Six Sigma (Problem solving strategy Y = f(x), Voice of the customer; Roles & Responsibilities);
- The Fundamentals of Six Sigma (Critical to Quality Characteristics (CTQ’s); Cost of Poor Quality (COPQ);
- Pareto Analysis (80:20 rule); Basic Six Sigma Metrics including DPU, DPMO, FTY, RTY Cycle Time)
- Selecting Lean Six Sigma Projects (Building a Business Case & Project Charter, Financial Evaluation & Benefits Capture);
- The Lean Enterprise (Understanding Lean, Lean & Six Sigma; The Seven Elements of Waste, 5S).
2.0 Measure Phase
- Process Definition (Cause & Effect / Fishbone Diagrams; Process Mapping, SIPOC; Value Stream Map; Failure Modes & Effects Analysis (FMEA);
- Six Sigma Statistics (Basic Statistics, Normal Distributions & Normality; Graphical Analysis)
- Measurement System Analysis (Precision & Accuracy; Bias, Linearity & Stability, Gage R&R, Variable & Attribute MSA)
- Process Capability (Capability Analysis, Concept of Stability, Attribute & Discrete Capability, Monitoring Techniques).
3.0 Analyze Phase
- Patterns of Variation (Multi-Vari Analysis, Classes of Distributions);
- Inferential Statistics (Understanding Inference; Sampling Techniques & Uses; Central Limit Theorem);
- Hypothesis Testing (General Concepts & Goals of Hypothesis Testing, Significance; Practical vs. Statistical, Hypothesis Testing with Normal Data ; Hypothesis Testing with Non-Normal Data).
4.0 Improve Phase
- Simple Linear Regression(Correlation, Regression Equations, Residuals Analysis);
- Multiple Regression Analysis (Multiple Linear Regression, Confidence & Prediction Intervals, Residuals Analysis);
- Designed Experiments (Experiment Objectives, Experimental Methods; Experiment Design Considerations
- Full Factorial Experiments, Fractional Factorial Experiments.
5.0 Control Phase
- Lean Controls (Poka-Yoke (Mistake Proofing), Kanban, Control Methods for 5S)
- Statistical Process Control (SPC): (I-MR Chart, Xbar-R Chart, U/P U Chart, NP Chart, Center Line & Control Limit Calculations);
- Six Sigma Control Plans (Elements of the Control Plan, Cost Benefit Analysis).
The training is based upon the Experimental Learning Principles (“learning by doing”). The course will be delivered in an interactive manner; all the participants will be involved in the process. The learning content will be transmitted through presentations (the theoretical background) and especially through specific exercises and case studies (related to the professional activity of the participants).
- Concept presentations;
- Case studies;
- Practical exercises;
- Group discussions and group analysis of real-life situations;
- Best practice tips and tricks;
- Recommendations for long-term development;
- Action Plans.
Course duration: 9 days + 1 day projects evaluation
First Module: 18 – 22 November 2019
Second Module: January 2020
Cost: 690 Euro/ module (5 days) x 2 modules = 1380 Euro / 10 days / person
Early bird: 30% discount (966 Euro/ person) (sign up until 12th of November 2019) +
Group discount: 50% (only 690 Euro) discount for the third participant.
The payment can be separate 50% after first Module and 50 % after second Module
The specified amount includes lunch, three coffee break, all required materials and the EMC participation certificate.
The specified amount does not include VAT.