Course Description
About Six Sigma Master Black Belt Certification Training
Six Sigma Master Black Belt certification is the highest level of Six Sigma certification one can attain. Six Sigma Master Black Belt certification helps individuals equip their Six Sigma skills to mentor the Six Sigma Black Belts & Green Belts. As certified Master Black Belt professional, one would get direct access to the leadership and senior management team and works closely with them to achieve the organization vision. Senior managers, leadership & board of directors lay a lot of confidence in MBB profession to help achieve the organizational objectives.
The key skills required includes possessing change management skills, negotiation skills, leadership skils etc. This makes an MBB certified professional extremely important and relevant. Clients are becoming ever more challenging and demanding to reduce the prices. At the same time wages are increasing as employees age in the organizations. Challenge is to come up with a strategy to provide discounts on pricing to customers, increasing the salaries of employees at the same time & still maintaining the profits. This is where jobs for Six Sigma Master Black Belt certified professionals are rising like never before. This kind of profession also demands very high salaries. This is one profession which is most sort after during recessions, during the loss making phases of the organization, when companies should make a sea change to move from loss making to profit making zone.
Who Should do Six Sigma Master Black Belt Certification
People who are into process improvement & process consulting are key stakeholders to attend the training. In addition the key roles who must pursue this training includes:
- Lean Professionals
- Six Sigma consultants
- Process implementation consultants
- Six Sigma Black Belt certified professionals
- CMMI consultants
- Quality
- Software developers
- Business analysts
- Senior management team
- Senior leadership team
Things You Will Learn in Master Black Belt Certification Training
As an MBB, one has to manage the project from planning through to closing. Imperative concepts which you will learn as part of this module includes
- Project Scope Management
- Project Time Management
- Project Cost Management
- Stakeholder Management
- Communication Management
- Risk Management
Designing the process to make it hard to make mistakes even if one wants to is DFSS. The key concepts you will learn as part of this includes:
- DMADV – Define, Measure, Analyse, Design, Verify
- IDOV – Identify, Design, Optimize, Verify
Defining the business problem is the single most important phase of Six Sigma. This phase will set the context for the rest of project. Key concepts you will learn includes:
- Identify CTQs
- Creating the risk management plan
- Identify the technique used for plan risk management process
- Identify sections of risk management plan
- Recognize the principles of risk tolerance, probability and impact
Measuring the current process performance is key to bring about improvements in the process by setting current baseline. If measurement system has errors then further analysis on measured data is void. Key concepts to learn are:
- Measurement System Analysis
- Gage R & R
- Discrimination
- Stability
- Bias
- Repeatability
- Reproducibility
- Linearity
- Gage Study and Kappa Statistic
- Measurement Plan
Learn to find out the key variables which can be includes for further analysis. Proving or disapproving the key decisions statistically is key. Predicting the future is of outmost importance. The following concepts will help you achieve all of the points mentioned above.
- Using customer demands to make design decisions
- Using weighted CTQs in decision-making
- Pugh concept selection method
- Hypothesis Testing including both parametric & Non-parametric tests
- Mann-Whitney test
- Mood’s Median test
- Kruskal-Wallis test–
- Regression techniques
- Linear Regression
- Logistic Regression
- Poisson Regression
- Binomial Regression
- Negative Binomial Regression
- Zero Inflated Poisson/Zero Inflated Negative Binomial Regression
Design the process/solution to build a product where making mistakes is next to impossible. Also we want to come up with the most optimum solution given the business constraints. Concepts of this module includes:
- Predicting CTQ performance
- Process simulation
- Virtual DOE using simulation software
- Design phase cross-references
- Nested Designs and change variables
- Mixture Designs
- Main Effect plots and interaction plots
- Fold-over design
olely building a product/solution without verifying whether the solution works or not is of no great help. This is very similar to the control phase of DMAIC. Hence, the following concepts will help you.
- Pilot run
- Pre pilot
- Post pilot
- Transition to full-scale operations
- Verify phase cross-references
- All aspects of control phase of DMAIC
Course Curriculum
- Project Scope Management
- Project Time Management
- Project Cost Management
- Stakeholder Management
- Communication Management
- Risk Management
- DMADV – Define, Measure, Analyse, Design, Verify
- IDOV – Identify, Design, Optimize, Verify
- Identify CTQs
- Creating the risk management plan
- Identify the technique used for plan risk management process
- Identify sections of risk management plan
- Recognize the principles of risk tolerance, probability and impact
- Inputs to risk planning
- Beyond customer requirements – identifying ‘‘delighters’’
- Using AHP to determine the relative importance of the CTQs
- Five Check sheets
- Seven Quality Management tools
- Measurement System Analysis
- Gage R & R
a. Discrimination
b. Stability
c. Bias
d. Repeatability
e. Reproducibility
f. Linearity
- Gage Study and Kappa Statistic
- Measurement Plan
- Using customer demands to make design decisions
- Using weighted CTQs in decision-making
- Pugh concept selection method
- Hypothesis Testing including both parametric & Non-parametric tests
a. Mann-Whitney test
b. Mood’s Median test
c. Kruskal-Wallis test–
- Regression techniques
a. Linear Regression
b. Logistic Regression
c. Poisson Regression
d. Binomial Regression
e. Negative Binomial Regression
f. Zero Inflated Poisson/Zero Inflated Negative Binomial Regression
- Predicting CTQ performance
- Process simulation
- Virtual DOE using simulation software
- Design phase cross-references
- Nested Designs and change variables
- Mixture Designs
- Main Effect plots and interaction plots
- Fold-over design
- Pilot run
a. Pre pilot
b. Post pilot
- Transition to full-scale operations
- Verify phase cross-references
- All aspects of control phase of DMAIC
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