Introduction to Six Sigma and Lean
Key Steps in Problem Solving
Understanding 7QC Tools
Lean Six Sigma Tools used in Define, Measure, Analyse, Improve and Control phases
Expectation from team members (Yellow Belts) during each phase & Mitigation of team challenges
10 days (For Others)– Three phases (4d + 3d +3d) spread over 3 months.
Define Phase –Problem definition, Six Sigma Metric, base lining, time series analysis, improvement potential estimates and basics of data analysis (data types, location, variation, distribution). Fundamentals of Value Stream and using it for project pipeline development
Measure Phase – Data collection strategies, CLT application, MSA, capability analysis, identification product /process variables using multiple methods, Using Waste Analysis for immediate improvements, high & level prioritization (Cause & Effect Matrix) of impacting variables
Analyze Phase – Detailed variable analysis using FMEA, Action planning for immediate gains, Data interpretation using various graphical analysis, correlation / regression, Hypothesis testing including Central Limit Theorem
Improve Phase – Validating highest impacting variables, Design of Experiments (2k, Full Factorial), Optimal Solution Identification. SMED techniques for cycle time reduction.
Control Phase – Various Strategies of process control, Control Plan design, Training teams for new control plans, SPC, error proofing etc. Introducing Kanban. Project to Process Transition.
20 days (For Others)– Four phases (5d x 4 phases) spread over 4 months.
• Leadership, Organizational Performance, Project Management and Team Dynamics
• Understanding language of business - Finance
• Define Phase –Voice of Customer including customer identification, customer feedback analysis and deciding customer requirements. Problem definition, Six Sigma Metric, base lining, time series analysis, improvement potential estimates, team selection, tracking project progress and basics of data analysis (data types, location, variation, distribution). Fundamentals of Value Stream and using it for project pipeline development
• Measure Phase – Data collection strategies, CLT, MSA, Metrology, measurement system for marketing, sales, engineering, research, technology etc., capability analysis (normal and non-normal both, including transformations), identification product /process variables using multiple methods, Using Waste Analysis for immediate improvements, high & level prioritization (Cause & Effect Matrix) of impacting variable
• Analyze Phase – Detailed variable analysis using FMEA, Action planning for immediate gains, Data interpretation using various graphical analysis, correlation / regression, Hypothesis testing, goodness of fit, contingency tables, non-parametric tests avoiding analysis paralysis. Using appropriate sampling methods and sample size.
• Improve Phase – Validating highest impacting variables, Design of Experiments (2k, Full Factorial), Optimal Solution Identification. SMED techniques for cycle time reduction, kaizen blitz, Theory of constraints, implementation plan and risk analysis.
• Control Phase – Various Strategies of process control, Control Plan design, Training teams for new control plans, SPC, error proofing etc. Introducing Lean tools like standard work, 5S, TPM, Visual Management, Kanban etc. for better control. Project to Process Transition.
• Sustaining Results and pathway to DFSS