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Lean Six Sigma Black Belt
- Description
- Objective
- Outline
| CERTIFICATE | Lean Six Sigma Black Belt |
| DURATION | 6 Days |
| COURSE DELIVERY | Classroom, Live Virtual Classroom |
| LANGUAGE | English |
Course Description
Lean and Six Sigma, both proven business improvement approaches, provide businesses with the ability to maximize customer, employee and shareholder value by minimizing process variation and waste. This six day course provides the experienced Green Belt with the necessary tools and techniques to manage improvement resources to deliver major projects. This hands-on learning experience develops both the delegate's technical knowledge and personal skills. The course uses a blend of theory and practical exercises to ensure that participants have the confidence and capability to deliver more complex business improvement projects and transformations.
Course Objective
Experienced Green Belts who want to enhance and apply their skills to larger more complex projects. Delegates must have completed Lean Six Sigma Green Belt or equivalent. Delegates should, ideally, have a project identified to complete post-training (this is required for certification).
Target Audience
Senior Managers (with more than 4 years of Program management and 4 years of Project Management experience) - seeking to obtain the PgMP® Certification.
These Managers typically manage Programs containing complex activities spanning functions, organizations, clients and geographic regions. As a part of their Program Management, they would also typically possess advanced skills in finance, leadership, cross-cultural communications, negotiations and conflict resolutions
Course Outline
Define & Measure (Introduction to Statistical Analysis & Minitab)
- Quality Functional Deployments & Kano Analysis
- Statistical Concepts
- Introduction to Minitab I & Data Manipulation
- Introduction to Minitab II
- Linking customer requirements to CTQs
- Review the basic statistical concepts
- Review the Minitab Environment
- Using Minitab for Analysis
Analyze (Analysis of Variance)
- ANOVA
- SPAN
- Lean Metrics, Value, Value Stream Analysis, Flow and Pull
Measure (Measurement Systems Analysis)
- Rational Sub grouping & Data Collection
- Measurement Systems Analysis
- Discrete Data Measurement & Application
- Practical MSA
- Stratify customers and determine what to measure
- Minimize measurement error
- Statapult & GRR
- Inspection Efficiency and Card drop Exercise
- Exercises in Minitab and more Statapult
Analyze (Regression Analysis)
- Introduction to Regression
- Multiple Linear Regression
- Logistic Linear Regression
- Regression Issues
Measure (Sample Size and Confidence Intervals)
- Focusing the Problem, Cause and Effect and FMEA
- Determining Appropriate Business Measures
- Sample Size & Confidence Intervals
- Methods to focus the problem
- What to measure?
- Measurement essentials
Improve (Designs of Experiments)
- Introduction to Designs of Experiments
- 2 by n Full Factorial Design of Experiments
- Fractional Factorial Design of Experiments
- Planning Designs
Analyze (Hypothesis Testing)
- Hypothesis Testing Continuous Data
- Hypothesis Testing Discrete Data
- Hypothesis Testing Non
- Normal Data
Improve and Control (Selecting Solutions and Control Charting)
- Creative Thinking
- Solution Selection
- Lean Solutions
- Piloting Solutions
- Control Chart Theory
- Creating Control Charts
- Specialty Control Charts
Improve and Control (Optimization of Solution)
- Response Surface Analysis
- Review and Close
- Examination
Measure (Sample Size and Confidence Intervals)
- Focusing the Problem, Cause and Effect and FMEA
- Determining Appropriate Business Measures
- Sample Size & Confidence Intervals
- Methods to focus the problem
- What to measure?
- Measurement essentials
