Course Outline

Six Sigma and Organizational Goals

  • Value of Six Sigma
  • History and origins
  • Cost of poor quality (COPQ)
  • Organizational goals and Six Sigma projects
  • Organizational drivers and metrics
  • Design for Six Sigma (DFSS) methodologies

Define Phase: Tools and Methods

  • Project identification and selection
  • Process elements: Inputs and outputs
  • Process owners and stakeholders
  • Drafting the project charter
  • Scope and problem statement
  • Customer identification
  • Voice of the Customer (VoC) and Critical to Quality (CTQ)
  • Drafting SIPOC
  • The case study
  • Business results for projects
  • Introduction to level calculations in Six Sigma
  • Process and performance capability
  • Process capability indices, 'Cp' and 'CpK'
  • Project management basics
  • Team dynamics and performance
  • Introduction and tutorial sessions on Minitab
  • Management and planning tools

Measure Phase: Introduction and Tools

  • Process analysis and documentation
  • Probability and statistics
  • Statistical distributions
  • Collecting and summarizing data
  • Importance of the CE matrix
  • Data normality

Analyze Phase: Introduction and Tools

  • Statistical process control
  • Control charts and stability issues
  • Qualitative analysis and quick wins
  • 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: Introduction and Tools

  • Piloting and implementation
  • Pre and post capability
  • Test of hypothesis
  • Not golfing like Tiger? Six Sigma can help
  • Class exercise: The catapult experiment
  • Control phase
    • Control plans
  • Lean tools for process control

Introduction to Lean Enterprise

  • Lean or Six Sigma?
  • Lean principles in the organization
  • Types of waste: Muda, Muri, and Mura
  • Value Stream Mapping
  • Spaghetti Diagram for distance analysis
  • Other Lean tools (e.g., Pull system, POUS)
  • Visual Management (5S)
  • Mistake proofing

Requirements

  • Knowledge of basic/intermediate statistics: It is suggested that participants take some time to review basic statistics. Books or e-learning modules could be used to refresh participants’ knowledge before attending the course.
  • Familiarity with the seven basic problem-solving tools.
  • Participants should have at least five years of practical experience in business processes. 
 35 Hours

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