LEAN SIX SIGMA BLACK BELT DESCRIPTION & CONTENT

The topical content is particularly compelling and presented along two dimensions – tutorials and case studies.

Lean Six Sigma concepts, tools and techniques are comprehensively covered through dynamic tutorial presentations. The tutorial content is then brought to life through actual insurance industry case studies and examples. Knowledge and understanding are quickly conveyed resulting in a set of insights and a powerful toolkit which attendees can immediately apply to the benefit of their organizations. Given the amount of information that is presented the teaching approach is very rigorous, interactive and intense. The class instructors are insurance industry Lean Six Sigma Master Black Belt practitioners who excel at simplifying complex concepts and demonstrating practical applications within an insurance context. A high level and abridged summary of the content that comprise the Lean Six Sigma Black Belt Designation Class – Designing and Building the Lean Insurance Organization includes the following topics:

 

Lean Six Sigma Fundamentals & Foundation

  • Value Based Process Analysis
  • Error Prevention and Mistake Proofing
  • Historical Foundation
  • The Four Keys to Lean Six Sigma
  • The Machine that Changed the World
  • The Five Laws of Lean Six Sigma
  • Taiichi Ohno’s Rapid Changeover Breakthrough
  • Six Sigma Variance Fundamentals
  • Flow, Pull, and Perfection
  • Lean Six Sigma Project Cycle Phases
  • Kaizen Event Staging and Delivery
  • DMAIC and Kaizen Events
  • Muda and the Eight Types of Waste
  • The Benefit/Effort Matrix
  • Flow Time Efficiency
  • Time Traps vs. Capacity Constraints
  • Total Productive Maintenance (TPM) Practices
  • Workload Balancing
  • Process Balancing and Operational Modeling
  • The 5 S’s of Lean
Value Stream Mapping & Data Collection
  • Process Analysis and Process Forensics
  • Jidoka and Rapid Process Correction
  • Root Cause Analysis & Data Gathering Planning
  • Specifications, CT’s & Process Deviations
  • Data Gathering Techniques and Best Practices
  • Data Stratified and Analysis
  • Data Collection Tools, Techniques & Applications
  • Ensuring Value Creating Work
  • How to Ensure Relevant Samples and Good Data
  • Identifying and Attacking Complexity
  • The Principles & Science of Faster, Better, Cheaper
  • Data Gathering & Operational Toolkit
  • Process Mapping Techniques & Best Practices
  • Process Typology Mapping
  • Value Add (VA) vs. Non Value Add (NVA) Analysis
  • Process Balancing Design Principles
  • Time Value Maps, Task Times, and Takt Charting
  • New SIPOC and VOC Techniques & Tools
  • Kano Analysis & Customer Driven Product Design
  • Process Cycle Efficiency & Improvement
  • The Complexity Equation & Complexity Mapping
  • Four Step Rapid Setup for Insurance Processes
  • Customer Experience Journey Mapping
Measurement & Statistical Process Control

  • Fundamentals of Statistical Process Control (SPC)
  • Variable and Attribute Data
  • Measurement System Analysis (MSA)
  • Repeatability & Reproducibility
  • Measurement Calibration
  • Lean Six Sigma Statistics Simplified
  • KPI’s and System of Indicators
  • Qualitative Lean Six Sigma Toolkit
  • Statistical Process Control Insurance Boot Camp
  • Control Charts Simplified & Best Practices
Root Cause Analysis & Designing Solutions

  • Process Waste and Error Analysis
  • Regression Analysis Simplified
  • Identifying and Verifying Root Causes
  • Analysis of Variance (ANOVA) Techniques
  • The Insurance Root Cause Analysis Toolkit
  • The Scientific Method and Lean Analysis
  • Lean Six Sigma Innovation Techniques
  • Constructing the Potential Solutions Matrix
  • A Survey of Key Analysis Tools and Techniques
  • What If Analysis with Data Matrix
Design for Lean Six Sigma Processes & Practices

  • Failure Mode & Effects Analysis (FMEA)
  • Managing Tollgates & Rapid, Agile, Solution Design
  • Creating & Executing a Process Control Plan
  • Control Charting Best Practices & Techniques
  • Achieving Total Performance Excellence
  • Calibrating Control Limits & Special Cause Signals
  • Harvesting the Benefits of Lean Six Sigma
  • Response Surface Models for Optimum Performance
  • Testing for Cause, Correlation, Effect & Relevancy
  • Lean Six Sigma Service Delivery Design & Deployment
  • Planning, Designing, Conducting & Interpreting Experiments