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

Number of participants


Price per participant

Upcoming Courses

Related Categories