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Course Outline
Six Sigma Alignment with Strategic Objectives
- The strategic value of Six Sigma
- Historical context and foundational principles
- Evaluation of the Cost of Poor Quality (COPQ)
- Alignment of organizational objectives with Six Sigma initiatives
- Key performance drivers and measurement metrics
- Application of Design for Six Sigma (DFSS) methodologies
Define Phase: Analytical Tools and Methodologies
- Identification and selection of improvement projects
- Process components: Inputs and outputs
- Roles of process owners and key stakeholders
- Development of the project charter
- Definition of scope and problem statements
- Identification of internal and external customers
- Voice of the Customer (VoC) analysis and Critical to Quality (CTQ) requirements
- Development of SIPOC diagrams
- Applied case studies
- Measurement of business outcomes from projects
- Overview of Sigma level calculations
- Process and performance capability assessment
- Understanding Process Capability indices, 'Cp' and 'CpK'
- Foundations of project management
- Team dynamics and performance optimization
- Introduction to Minitab software tutorials
- Application of management and planning tools
Measure Phase: Overview and Instruments
- Process analysis and documentation standards
- Foundations of probability and statistics
- Analysis of statistical distributions
- Data collection and summarization techniques
- Significance of the Cross-Effectiveness (CE) matrix
- Assessment of data normality
Analyze Phase: Overview and Instruments
- Statistical Process Control (SPC) fundamentals
- Control charts and process stability assessment
- Qualitative analysis and identification of immediate improvements
- Process mapping techniques
- Exploratory data analysis methods
- Hypothesis testing procedures
- Design of Experiments (DOE) applications
- Root cause analysis
- Review of the seven basic quality tools
- Graphical analysis techniques
- Histograms and their interpretation
- Analysis of Variance (ANOVA) and multi-plot diagrams
- Failure Mode and Effect Analysis (FMEA)
Improve and Control Phases: Overview and Instruments
- Piloting strategies and implementation protocols
- Pre- and post-improvement capability assessment
- Application of hypothesis testing in improvement efforts
- Relevance of Six Sigma to individual performance goals
- Class exercise: The catapult experiment
- Control phase
- Development of control plans
- Integration of Lean tools for process control
Introduction to Lean Enterprise Principles
- Comparative analysis: Lean versus Six Sigma
- Integration of Lean principles within organizational structures
- Identification of waste categories: Muda, Muri, and Mura
- Value Stream Mapping techniques
- Use of Spaghetti Diagrams for distance and workflow analysis
- Additional Lean instruments (e.g., Pull systems, Point of Use Storage [POUS])
- Visual Management frameworks (5S methodology)
- Mistake-proofing techniques (Poka-Yoke)
Requirements
- Demonstrated proficiency in foundational to intermediate statistical concepts is required. Prospective attendees are encouraged to utilize educational resources, such as textbooks or digital learning modules, to reinforce their understanding prior to the start of the course.
- A working knowledge of the seven standard problem-solving tools is expected.
- Candidates must possess a minimum of five years of hands-on experience managing business processes within a government setting for government operations.
35 Hours
