The member will learn project management basics, including the project charter and how projects are communicated, documented, monitored and reviewed from launch to project closure.
- As you make progress in the Green Belt training,…you'll want to be sure to practice…good project management basics.…Let's talk about some ways you can do this.…My first tip is to send the right message…and plan to succeed.…At the start of every project,…ensure the project Champion launches the projects.…This sends the right message from management,…one of commitment and support.…Next, you need to communicate the Project Charter at launch…and throughout the project.…The Project Charter describes the reason for the project,…what must be accomplished by when,…scope of the project, who is to be involved,…and milestone dates.…
Then you need to develop the project plan,…with details the tasks, deliverables, timing,…effort, and resources required.…Project planning tools, such as Gantt charts,…can be used as appropriate to plan…and monitor project progress.…Another way to practice good project management…is to focus the project on the key metric, Y.…Y equals F of X.…Throughout the project, make sure that the key metric, Y,…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
Lynda.com is a PMI Registered Education Provider. This course qualifies for professional development units (PDUs). To view the activity and PDU details for this course, click here.
The PMI Registered Education Provider logo is a registered mark of the Project Management Institute, Inc.
- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control