DATES TO BE ANNOUNCED
Did you receive your Six Sigma green or black belt certification but haven’t used it for a while? Are you working on a problem but aren’t sure where to start? Do you want to learn the basics of Six Sigma but don鈥檛 have the time for a full course?
This Six Sigma refresher course will hit the technical highlights of Six Sigma methodology and analytics, as well as discuss the application and stumbling blocks of Six Sigma projects. Through this fast-paced, 10-week course, you’ll refresh your knowledge of process metrics, process improvement strategies and mapping, basic statistics, control charts, data collection and more.
Participants are welcome to bring projects and topic requests for review and discussions. No projects are required. Assignments and tests are for individual learning purposes.
Benefits and Learning Outcomes
- Understand the DMAIC/DMADV (Define, Measure, Analyze, Improve/Design and Control/Validate) methodology and the links to other methodologies and tools
- Analyze process variation to understand how business problems impact efficiency and costs
- Apply the appropriate strategies and statistical techniques to understand key process inputs to improve processes and reduce costs
- Identify missing controls to lock in savings and verify improvements
Course Outline/Topics
- Overview of process improvement strategies
- Why Six Sigma vs Lean, Project Management, Change Management, Scrum, PDCA, Kaizen and Red X
- The DMAIC/DMADV roadmap
- Roles of champions, mentors, yellow belts, green belts, black belts and master black belts
- The problem with choosing a problem 鈥� problem statements, pareto analysis, writing project contracts/deliverables, cost of poor quality
- Managing change and Six Sigma projects
- Process mapping, value stream mapping and swim lanes
- Failure modes affects analysis and significant characteristics
- Data collection and sampling techniques
- Current events examples of data analytics
- Basic statistics 鈥� Is your variation significant? Data types, power in samples size, data distribution, gage R&R, process capability, hypothesis testing and correlation
- Microsoft Minitab and Excel statistical tutorial
- Transactional data analysis
- Control charts 鈥� defining control, trends and control limits vs specification limits
- Design of experiments and multi-variant testing
- Lean toolbox express: A3, 5Ys, root cause analysis, 5S, power of 10s, SMED, PDCA, Kanban, takt time, visual management, standard work and more
- Validating and sustaining improvements 鈥� solving problems for good
- Exiting a Six Sigma project
- The 鈥淕olden Rules鈥� of Six Sigma projects
- Emerging technologies in Six Sigma (AI, predictive analytics, data bots, big data)
Who Should Attend
This course is designed for certified green and black belts who are looking for a curriculum refresher, guidance applying Six-Sigma curriculum to projects or preparing to take the ASQ Lean Six Sigma exam.
Professionals who work in continuous improvement, engineering, design, finance, quality, supply chain, business/data analytics, operations or project management are encouraged to attend.
Professionals with exposure to statistics and analytics who are considering moving forward with a certification in the future are also welcome to attend.
Module Outlines
Module 1 – DMAIC vs. DMADV and links to other Industry Methodology (2 hours)
Module 2 – Trials and Trip-up of Six Sigma Project Scope the D in DMAIC (2 hours)
Module 3 – Metrics and Measurement of Current State (2 hours)
Module 4 – Analytics of Project Variation and Minitab Refresher (2 hours)
Module 5 – Gaining Control 鈥� Statistical and Process Analysis (2 hours)
Module 6 – I have data, what do I do? 鈥� Finding the Needle in the Haystack (2 Hours)
Module 7 – How to Run a Design of Experiment 鈥� Multi-Variant Testing
Module 8 – Implementing/Validating Improvements and Controlling Change
Module 9 – How do I get out? 鈥� Control Systems, Preventing Sliding Back into Old Habits and Transition Processes
Module 10 鈥� Course Recap and Emerging Technologies 鈥� Tools on the Horizon