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Course Outline
Six Sigma and Organizational Goals
- Value of Six Sigma for government operations
- History and origins of Six Sigma
- Cost of poor quality (COPQ) in public sector contexts
- Aligning organizational goals with Six Sigma projects for government
- Organizational drivers and metrics for effective governance
- Design for Six Sigma (DFSS) methodologies tailored for government
Define Phase: Tools and Methods
- Identifying and selecting appropriate projects for government initiatives
- Process elements: Inputs and outputs in public sector processes
- Identifying process owners and stakeholders within government agencies
- Drafting the project charter to meet governmental standards
- Defining scope and problem statements for government projects
- Customer identification in public sector services
- Voice of the Customer (VoC) and Critical to Quality (CTQ) metrics for government
- Drafting SIPOC diagrams for government processes
- The case study: Applying Six Sigma in a governmental context
- Business results and outcomes of Six Sigma projects for government
- Introduction to level calculations in Six Sigma for public sector applications
- Assessing process and performance capability within government operations
- Process capability indices, 'Cp' and 'CpK', in a governmental setting
- Fundamentals of project management for government initiatives
- Team dynamics and performance optimization in government projects
- Introduction and tutorial sessions on Minitab for government use
- Management and planning tools for effective governance
Measure Phase: Introduction and Tools
- Process analysis and documentation for government processes
- Probability and statistics in governmental contexts
- Statistical distributions relevant to public sector data
- Collecting and summarizing data for government projects
- The importance of the Cause-Effect (CE) matrix in government operations
- Data normality assessment in governmental datasets
Analyze Phase: Introduction and Tools
- Statistical process control for government processes
- Control charts and stability analysis in public sector applications
- Qualitative analysis and quick wins for government projects
- Process mapping techniques for governmental workflows
- Exploratory data analysis in a government setting
- Hypothesis testing for governmental research
- Design of Experiments (DOE) tailored for public sector projects
- Root cause analysis
- Review of the seven quality tools for government use
- Graphical analysis
- Histograms and Analysis of Variance (ANOVA) in governmental data
- Multi-plot diagrams for visualizing public sector data
- Failure Mode and Effect Analysis (FMEA) for government operations
Improve and Control Phases: Introduction and Tools
- Piloting and implementation of improvements in government processes
- Pre and post capability assessment in public sector projects
- Hypothesis testing to validate government process changes
- Class exercise: The catapult experiment for government application
- Control phase
- Developing control plans for sustained government performance
- Lean tools for maintaining process control in government operations
Introduction to Lean Enterprise
- Comparing Lean and Six Sigma methodologies for government use
- Applying Lean principles within government organizations
- Types of waste: Muda, Muri, and Mura in public sector processes
- Value Stream Mapping for government operations
- Spaghetti Diagrams for distance analysis in governmental settings
- Other Lean tools (e.g., Pull system, POUS) for government efficiency
- Visual Management (5S) techniques for government workspaces
- Mistake proofing methods for government processes
Requirements
- Knowledge of Basic and Intermediate Statistics: Participants are encouraged to review fundamental statistical concepts prior to attending the course. Resources such as books or e-learning modules can be utilized to refresh their understanding.
- Familiarity with the Seven Basic Problem-Solving Tools: Participants should have a working knowledge of these essential tools to enhance their problem-solving capabilities.
- Practical Experience: At least five years of experience in business processes is required for participants. This ensures they bring a well-rounded perspective and practical insights to the training, aligning with the objectives for government operations.
35 Hours