Lean Six Sigma Champion 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 LSSCH?

Lean Six Sigma Overview

  • Overview of Lean Six Sigma
  • DMAIC Methodology
  • Methodology DMADV (DFSS)
  • Lean Manufacturing and BPR
  • Financial Benefits of Lean Six Sigma
  • The impact of Lean Six Sigma in the Organization
  • The language of Lean Six Sigma

Implementing Lean Six Sigma

  • Team Roles Lean Six Sigma
  • Selection and development of Master Black Belts, Black Belts, Green Belts and Lean Expert
  • Human resources and infrastructure necessary for Lean Six Sigma initiative
  • Recognition system and incentives for Lean Six Sigma
  • Change Management
  • Launching the initiative Lean Six Sigma
  • Communication Lean Six Sigma culture throughout the organization
  • The cycle for Six Sigma Black Belts: training and professional development
  • History of Lean
  • Role of Henry Ford, Taiichi Ohno, Shingo and Deming
  • House Armed Dynamics Toyota
  • Mass production and Lean Production

Project Management

  • Financial Basics for Lean Six Sigma projects
  • Project selection Lean Six Sigma
  • Planning and Project Development Lean Six Sigma
  • Project Definition and Project Charter
  • Registration advances Lean Six Sigma projects
  • Monitoring projects: Insider Reviews and Techniques
  • Reports, Measurable and Deliverables Six Sigma initiative

Technical Basics

  • Process Map (As-Is process)
  • Descriptive and Inferential Statistics
  • Measurement System Analysis
  • Thinking statistical and graphical control
  • Characterization and Process Capability
  • Deployed Visual Data (Histogram, Trend Graph, Pareto Chart, Scatter Diagram)
  • Analysis of Added Value
  • Cause-Effect Analysis (aka Fishbone, Ishikawa)
  • Securing the improved results of the process
  • Setting standards for inputs and outputs of the process
  • Documenting the process
  • Systems Thinking
  • Validation of improvements in terms of quality
  • Validation of improvements in financial terms
  • Before vs. Process Map After