Lean Six Sigma Course Contents

 

Monday

  • Introduction: ISO 9000:2000, Six Sigma, EFQM
  • Six sigma and Lean philosophy
  • Methodology overview: DMAIC
  • Implementation: key players and roles
  • Define the opportunity:
    • What is important?
    • Project team: goals, objectives, scope, business case
    • Baseline analysis
    • SMART problem statement
    • The voice of the customer: translation into process specifications
    • Process mapping and flowcharting: SIPOC
    • Value stream mapping group work using MS Excel forms

Tuesday

Measure performance

  • What to measure? Customer perspective, business results, process metrics
  • Common process metrics:
    • Rolled Throughput Yield
    • DPU, DPMO
    • Inspection/ test: coverage and yield
    • Takt time and cycle time
    • Cost, dedications
    • Customer satisfaction
  • Data collection methodology
  • Understanding variation: group exercise
    • Run charts and histograms
    • Process capability: Cp, Cpk, sigma capability
    • Attributes and variables data
    • Customer satisfaction and lead-time frequency distributions
    • Group work: identify process metrics using MS Excel
  • Measurement System Analysis (Gage R&R)

Wednesday

Analyze the opportunity

  • What needs to be improved? Symptoms
  • Root cause: Fishbone diagram. Group exercise
  • Collect the data: Pareto Chart
  • Scatter plot and correlation analysis
  • Analyze the value stream map:
    • Process inputs characterization
    • Sources of defects, delays and variation
    • Bottleneck identification
  • Constraint management with MS Excel Solver: examples
  • Corrective actions: 8 Discipline methodology
  • Prevention: Failure Mode & Effects Analysis. Group work

Thursday

Improve performance

  • Benchmarking similar processes
  • Process documentation: procedures, work instructions
  • Mistake Proofing: Poka-Yoke
  • Bottleneck management
  • Set-up time and lot size reduction
  • Pull Vs Push logistics: Kanban simulation exercise
  • Preventive maintenance
  • Analysis of alternative solutions
  • Throughput/ Work-In-Process/ Cycle time relationship
  • Yield loss, capacity and variability bottlenecks
  • Just-In-Time production. Impact of variability
  • Process simulation exercise (MS Excel): real life optimization
  • Capability improvement: Design of experiments

Friday

Control performance

  • Process control plan and implementation
  • Group work with MS Excel forms
  • 5S: Workplace order and cleanness
  • Statistical process control
  • Attributes and variables control charts
  • Western Electric rules: interpretation
  • Discrimination, Repeatability, Reproducibility
  • Real-time feedback to the operator for immediate action
  • Out of control: Who does what?

Project implementation:

  • Pilot solution
  • Identify side effects
  • Document process changes

 

 

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