Description
Introduction to Lean and Six Sigma
– Overview of the course objectives and structure
– Historical context and evolution of Lean and Six Sigma
– Key principles: customer focus, process improvement, and data-driven decision-making
Lean Principles and Tools
– Understanding the eight wastes (TIMWOOD)
– 5S methodology for workplace organization
– Value stream mapping (VSM) and process flow analysis
Six Sigma Fundamentals
– Definition of Six Sigma and its objectives
– DMAIC methodology: Define, Measure, Analyze, Improve, Control
– Statistical tools in Six Sigma: histograms, control charts, process capability analysis
Define Phase in DMAIC
– Project selection and scoping
– Stakeholder analysis and communication planning
– Development of project charters and defining project goals
Measure Phase in DMAIC
– Data collection and measurement system analysis (MSA)
– Process mapping and identifying critical process inputs
– Establishing baseline performance metrics
Analyze Phase in DMAIC
– Root cause analysis techniques
– Statistical analysis to identify key drivers
– Hypothesis testing and correlation analysis
Improve Phase in DMAIC
– Generating and evaluating improvement solutions
– Design of experiments (DOE)
– Implementation planning and pilot testing
Control Phase in DMAIC
– Establishing control plans
– Monitoring and sustaining improvements
– Developing response plans for potential issues
