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Duration 35 hours
Course Outline
Six Sigma and Strategic Organizational Alignment
- Strategic value of Six Sigma
- Historical context and origins
- Evaluation of the Cost of Poor Quality (COPQ)
- Alignment of organizational goals with Six Sigma initiatives
- Organizational drivers and performance metrics
- Design for Six Sigma (DFSS) frameworks
Define Phase: Methodologies and Instruments
- Identification and selection of priority projects
- Process architecture: Inputs and outputs
- Identification of process owners and stakeholders
- Formulation of the project charter
- Defining scope and problem statements
- Identification of end users
- Voice of the Customer (VoC) and Critical to Quality (CTQ) factors
- Construction of SIPOC diagrams
- Case study analysis
- Assessment of business outcomes
- Foundations of Sigma level calculations
- Process and performance capability assessment
- Process capability indices: 'Cp' and 'CpK'
- Foundamentals of project administration
- Team dynamics and performance optimization
- Introduction and instruction on Minitab software
- Administrative and planning instruments
Measure Phase: Foundations and Techniques
- Process evaluation and documentation
- Foundations of probability and statistics
- Statistical distributions
- Data collection and aggregation
- Significance of the CE matrix
- Assessment of data normality
Analyze Phase: Assessment and Instruments
- Statistical process control
- Control charts and stability evaluation
- Qualitative assessment and immediate improvements
- Process mapping
- Exploratory data analysis
- Hypothesis testing
- Design of Experiments (DOE)
- Root cause analysis
- Review of the seven quality tools
- Graphical analysis
- Histograms
- Analysis of Variance (ANOVA) and multi-plot diagrams
- Failure Mode and Effect Analysis (FMEA)
Improve and Control Phases: Execution and Oversight
- Piloting and implementation strategies
- Pre- and post-implementation capability
- Hypothesis testing verification
- Application of Six Sigma principles to performance consistency
- Practical exercise: Catapult experiment
- Control phase
- Control plans
- Lean techniques for process oversight
Overview of Lean Enterprise Frameworks
- Comparative analysis of Lean and Six Sigma
- Integration of Lean principles within the organization
- Categorization of waste: Muda, Muri, and Mura
- Value Stream Mapping
- Spaghetti Diagrams for distance analysis
- Additional Lean techniques (e.g., Pull system, POUS)
- Visual Management (5S)
- Error prevention mechanisms
Requirements
- Proficiency in basic to intermediate statistics: Participants are advised to review fundamental statistical concepts in advance. Reference materials or e-learning modules may be utilized to reinforce knowledge before attending the course.
- Familiarity with the seven basic problem-solving tools.
- Participants should possess at least five years of practical experience in business processes.