Lean Six Sigma Black Belt Training Curricula

Our organization meet the world quality standards of body o knowledge for Lean Six Sigma training curricula. 

These consider Lean Manufacturing tools neccesary to reduce production cicle time and increase efficiency. In addition Six Sigma knowledge through inference statistics to determine capability, stability and control for manufacturing or services processes.

Both methodologies get process control increasing yield and reducing variability.

Which are the minimum training topics for LSSBB?

Overview

  • Six Sigma’s General Scope
  • DMAIC Methodology
  • Six Sigma’s Financial Benefits
  • The impact of Six Sigma in the Organization
  • Six Sigma Language

Definition

  • Project Planning
  • Project Definition
  • Project Selection
  • Development of a business case
  • Team building
  • Defining rolls and responsabilities (team work)
  • Customer’s voice supporting the project
  • Costs of Poor Quality  (COPQ)
  • Translating Customers Needs within Specific Requirements  (CTQs)
  • SIPOC Chart
  • Lean Manufacturing History
  • 5’S
  • 8 Wastes (Mudas)
  • SMED (Single Minute Exchange)
  • Process Mapping (As-Is proces)
  • Definition phase review

Measurement

  • Data’s attributes
  • Descriptive and Inferential Statistical
  • Metrics Definition
  • Measurement System Analysis
  • Repetibility and Reproducibility
  • Techniques of obtaining data
  • Calculating sample size
  • Plan of obtaining data
  • Undestanding the variation
  • Statistical thought and control charts
  • Process capability measurement
  • Calculating Process’s Six Sigma Level
  • Rolled Throughput Yield
  • Unfolded visual of line execution of bases of the project
  • Statistical Software Training
  • Performance Metrics
  • Visual Control
  • Ergonomics and Security enviroment
  • Failure Mode and Effect Analysis (FMEA)
  • Measurement phase review

Analysis

  • Visual Interface (Histogram, Tendency, Pareto, Scatter charts)
  • Process Mapping detailed (Low Level) Critics Areas
  • Analysis of Added Value
  • Cause-Effect Analysis (a.k.a. Fishbone, Ishikawa)
  • Affinity Diagram
  • Data’s Segmentation & Stratification
  • Correlation & Regression (lineal & multiple)
  • Process Development (Cp, Cpk, Pp, Ppk)
  • Process capability short term vs long term
  • Hipothesis testing
  • Variation Analysis (ANOVA), 2 samples  T-Test, Chi Squared Test
  • Experiments  (DOE) – Full, Fractional Factorials, Design
  • Verification of Root-Causes
  • Determining opportunities for improvement (defects vs finances)
  • Review the Project
  • Industrial Engineering Highlights
  • Process Lay-Out
  • Cycle Time study
  • Balance and schedule work
  • Kanban
  • Kaizen
  • Analysis Phase Review

Improvement

  • Brainstorm
  • Multi-Voting
  • Response Surface (DOE Optimization)
  • DOE Characterization
  • Process Simulation
  • Unfolded of the quality function (Quality House QFD)
  • Identifying a solution
  • POKA YOKE (Mistake Proofing Your New Process)
  • Pilot Test of the solution
  • Planning the implementation
  • Statistical Software Training
  • Planning the culture’s change in the Organization
  • Theory of Constrains
  • Value Stream Mapping
  • Celular Manufaturing
  • 8D
  • Improvement Phase review

Control

  • Improvement Process Assurance
  • Statistical Process Control (SPC)
  • Rational Sub-group
  • Process inputs and outputs standardization
  • Developing a Process Control Plan
  • Documenting the Process
  • Systemic Thought
  • Improvements Validation  in Quality terms
  • Improvements Validation in Financial terms
  • Process Mapping Before and After
  • Training in Statistical Software
  • Control Phase review