Learning Objectives
Upon completion of this course, participant will be able
- Apply Lean such concepts as 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
- Define, scope and execute DMAIC projects.
- Apply the DMAIC methodology to business issues and transition projects from phase to phase.
- Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs.
- Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success.
- Close projects and hand over control to process owners.
- Present projects to instructors, peers and managers.
Pre-requisites
No prerequisites are required but basic math, project management, and communication and leadership skills are desirable. If you have already taken Lean Six Sigma Green Belt training, please contact us to upgrade to Black Belt.
Who Should Attend?
- Operational excellence practitioners and leaders
- Team leaders; program, product, and project managers
- Anyone in any industry who wants to develop new or refine existing problem-solving skills
- Anyone with a focus on career-building and improving their visibility within their company
Duration
140 hours including quizzes, exercises, and exams
This course follows the disciplined Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) roadmap, providing a framework to define and scope and problem, collect and analyze performance data, identify inefficiencies and problems, pinpoint root causes, and implement solutions to greatly improve and control processes. In addition to teaching the complementary methodologies of Lean and Six Sigma, this course covers skills in leading teams through the process of change. It also includes material on brainstorming, innovation and the application of creative thinking techniques. Minitab statistical software package is used.
Courses are complete with engaging visual content and animated modules, as well as activities and real world case studies. Featuring a practical and applied focus, this online course includes training, quizzes and exams. Quizzes and exercises reinforce key learning points.
How many CEUs/PDUs are available?
12 CEUs
18.5 PDUs
Format
This is a self-paced course that can be started at any time. You have access to the training material for one year.
Pre-requisites
There are no prerequisites for this course; however, we recommend a basic math and communication skills are desirable.
Define - Click Here
- Introduction to Lean Six Sigma
- Introduction to Lean
- Five Principles of Lean
- Project Scoping
- High Level Process Maps
- Six Sigma Metrics
- Introduction to Surveys
- Project Definition
- Creating Pareto Charts
- Preparing to Manage Change
- Introduction to Minitab
- Introduction to Statistics
- Building Teams
- Six Sigma Roles and Phases
- Six Sigma Literally Speaking (Optional)
- Kano Analysis (Optional)
- Job to be Done (Optional)
- Outcome Expectations (Optional)
- Job Scoping (Optional)
Measure - Click Here
- Leading and Communicating Change
- Creating Awareness
- Creating a Shared Need
- Data Collection
- Attribute Measurement Systems + Validation Checklist
- Variable Measurement Systems – Level 2 + Validation Checklist
- Mid Level Process Maps
- Current State Value Stream Map
- The Eight Types of Waste
- Capability Analysis
- Common Probability Distributions – Normal Distributions
- Common Probability Distributions – Continuous Distributions
- Common Probability Distributions – Discrete Distributions
- Understanding Process Stability
- Process Analysis Tools (Optional)
Analyze - Click Here
- Shaping a Vision/Mission
- Building Commitment
- Fishbone Diagrams
- Building a C&E Matrix
- Building a FMEA (Failure Modes & Effects Analysis)
- 5S
- Flow
- Spaghetti Diagrams
- Understanding Graphs
- Confidence Intervals
- Hypothesis Testing
- Simple Linear Regression & CorrelationBasic Tests of Hypothesis
- Paired t-Test
- Sample Size for Estimation
- Sample Size for Hypothesis Testing – Theory
- Sample Size for Hypothesis Testing – Practical
- ANOVA – Analysis
- VarianceContingency Tables & Chi-Square
- Central Limit Theorem (Optional)
Improve - Click Here
- Keeping Change Momentum
- Brainstorming Techniques
- Mistake Proofing
- Preventing Human Error
- Pull
- Kanban
- Introduction to Design of Experiments (DOE)
- Basic Factorial Experiments
- Fractional Factorial Theory
- Fractional Factorial Practical
- Designed Experiments with Attribution Responses
- Advanced Regression
- Evaluating Solution Ideas
- Creating a Pilot Plan
- Generating Solution Ideas (Optional)
- Introduction to Innovation (Optional)
- Provocation and Movement (Optional)
Control - Click Here
- Making Change Last
- Building a Control Plan
- Control Methods
- Survey Design and Analysis
- Introduction to SPC
- Constructing Control Charts
- Plan-Do-Act-Study (PDCA)
- Project Closure
System Requirements: Internet connection with modern browser
Operating System: Microsoft Windows (7 and higher) or Apple Mac OS X
Display Properties Setting: Minimum 1024 x 768 screen resolution
Recommended Browsers: Chrome, Firefox, Safari, Edge
For the best experience and optimum security, we recommend that you keep your browser up to date.
Legacy browsers with known issues:
Internet Explorer 10 and below
Safari 7 and below
Note: the course content requires that any pop-up blocker be disabled
Once the course has been paid for and started you can no longer receive a refund or credit towards another class.
