One of the most talked about topics in the past several years has been whether the Lean & Six Sigma community needed some standardization of Black Belt and other Lean & Six Sigma Belt training curriculum. During several panel discussions held during the most prominent Lean & Six Sigma Conferences, the audience and the panel members concluded that standardization of training was critical for providing consistency. In an effort to respond to the needs of the LSS community, a Committee was formed consisting of a group of well-known experts on Lean & Six Sigma, to create a set of standards for Black Belt Training. After a great deal of work, the LSS Standards for Black Belt Training is complete. Dr. Feldman will discuss the main clauses and components of the standard, and describe the implications of the standard on existing and future certifications. He will answer questions regarding the future of other planned Belt standards.
This is a must-attend session to hear how the LSS community is moving forward and how it will benefit your organization. The audience will be encouraged to ask such questions as:
How will the Standard be deployed?
What are the key elements of the Standard?
How will this Standard help my organization?
What other Standards will be developed moving forward?
The following topics will be presented with a brief explanation of each, the rationale for including it in a LSS BB curriculum and examples of how these tools will apply to all types of organizations be they manufacturing or non-manufacturing.
Basic Lean Equations
Basic Statistics and Variation
Capability – Continuous and Discrete
Control Charts – Continuous and Discrete
Correlation and Regression
Creating a Project Charter
Design for Lean & Six Sigma (DFLSS) Frameworks and Methodologies
Design of Experiments
DMAIC and Purpose/Goal for Each Phase
Documenting Lessons Learned
Financial and Other Project Impacts
ID, Select, and Prioritize Root Causes
Kaizen and Quick Wins
Lean & Six Sigma Deployment Strategies
Lean & Six Sigma Introduction
Lean Layout and Flow Improvement Tools
Measurement and Data Collection - the Right Amount of Data and the Right Way
Measurement System Analysis – Continuous and Discrete Determine If the
Measurement System Is Capable of Providing Accurate and Consistent Data Descriptive and Inferential Statistics – Want to Make an Inference about a Population Parameter Using a Sample
Project Identification and Selection Tools and Criteria
Rapid Setup Reduction
Sustaining the Gains
Typical LSS Roles and Responsibilities
Use of Statistical Software for All Graphical and Statistical Analysis
Value Analysis and Waste Identification
Voice of the Customer and Customer Satisfaction