Lean Six Sigma Black Belt
A Quick Glance
A Black Belt certification provides
your company with a resource dedicated to problem solving.
The process entails four weeks of intensive training
with three weeks of project application between the monthly
sessions. Project support is available following each
training session, too. Participants complete two projects
prior to certification. |
Lean Six Sigma is a data-driven approach
to problem solving, focusing on defect reduction and process
improvement--and
almost always resulting in cost savings. Specific projects
are customer focused, using a team approach to resolve problems.
The methodology utilizes a blend of both the Lean and Six Sigma tool sets. It follows a structured sequence of problem
solving techniques to arrive at a solution. Statistics aid
in the decision-making
process and help to validate the success of the changes made.
You have
probably heard of the Six Sigma deployments at General
Electric and Motorola. Since its inception, the Six
Sigma strategy has been implemented in many other companies.
And
it’s not only happening at large manufacturing
facilities, but also at catering services, car washes,
medical services,
printing companies and utilities.
Companies of all shapes
and sizes are using the methodologies of Lean Six Sigma to
reduce defects in their industries and
benefit their bottom lines.
At Strategic Leadership Solutions, we follow the traditional model of Six Sigma training and certification. You will learn to DO Six Sigma ... not just learn ABOUT Six Sigma. Our class format is very "hands on," using student projects and
data within the classroom setting. The Black Belt class will
take you through the five phases of Six Sigma: Define,
Measure, Analyze, Improve
and Control.
Training Topics Include
Define/Measure Phase
- Intro to Six Sigma
- Intro to Lean
- Lean vs. Six Sigma
- Voice of the Customer
- Project Selection & Project Definition
- Data Collection
- Intro to Minitab
- Process Mapping
- Identification of Waste
- Value Stream Mapping
- 5S
- Cause and Effect
- Basic Statistics
- Measurement Systems Analysis
- Capability Analysis
Analyze Phase
- Failure Modes and Effects Analysis (FMEA)
- Graphical Analysis
- Analysis with Non-Normal
Data
- Inferential Statistics
- Correlation and Regression
- Hypothesis Testing
(Variable Data)
- Hypothetic Testing (Attribute Data)
- Analysis
of Variance (ANOVA)
Improve Phase
- Visual Controls
- Standardized Work
- Flow and Cell Design
- Push vs. Pull
- Kan Ban
- Kaizen
- Designed Experimentation
(DOE)
- Fractional Factorial Experiments
- Multiple Regression
- Solution Selection
- Dealing With Difficult People
- Leading Change
Control Phase
- Statistical Process
Control (SPC) with Variable Data
- Statistical Process Control (SPC) with Attribute Data
- Mistake Proofing
- Control Plans
- Closing a Project
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