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About this course
Module 1: Introduction to Six Sigma
1.1 Overview of Six Sigma
- Historical background
- Importance and benefits
1.2 Key Concepts
- DMAIC (Define, Measure, Analyze, Improve, Control)
- Variation and its impact on processes
1.3 Roles and Responsibilities
- Champions, Black Belts, Green Belts, Yellow Belts
- Team dynamics in Six Sigma projects
### Module 2: Define Phase
2.1 Project Charter
- Defining the problem and scope
- Identifying stakeholders
2.2 Voice of the Customer (VOC)
- Techniques for gathering and analyzing customer requirements
2.3 Project Metrics and Goals
- Establishing measurable objectives
- Setting SMART goals
### Module 3: Measure Phase
3.1 Process Mapping
- Identifying and documenting process steps
- Value stream mapping
3.2 Data Collection and Measurement
- Types of data
- Measurement systems analysis
3.3 Basic Statistical Concepts
- Descriptive statistics
- Central tendency and dispersion
### Module 4: Analyze Phase
4.1 Root Cause Analysis
- Identifying and analyzing potential causes of variation
- Fishbone diagram
4.2 Advanced Statistical Tools
- Hypothesis testing
- Regression analysis
### Module 5: Improve Phase
5.1 Generating Solutions
- Brainstorming techniques
- Evaluation and selection of solutions
5.2 Design of Experiments (DOE)
- Planning and conducting experiments to optimize processes
5.3 Implementation Planning
- Developing an action plan
- Risk assessment and mitigation
### Module 6: Control Phase
6.1 Statistical Process Control (SPC)
- Monitoring and controlling process performance
- Control charts
6.2 Standardization and Documentation
- Creating standard operating procedures
- Training plans for sustained improvements
6.3 Project Closure
- Finalizing and closing out the Six Sigma project
- Capturing lessons learned
