
What Six Sigma is, why organisations use it to cut defects and variation, and an outline of the five DMAIC phases, the belt roles and project selection covered in the course.
An overview of the five DMAIC phases, Define, Measure, Analyse, Improve and Control, explained through a simple cable installation example.
What Six Sigma executives and champions do, how they sponsor projects and remove barriers, and why their support is critical to success.
How to turn what customers care about into critical-to-quality requirements and measurable metrics, using a pizza delivery example.
Why process variation matters, how the normal curve and standard deviation describe it, and why reducing variation is at the heart of Six Sigma.
How to calculate defects per million opportunities, why it allows fair quality comparison between very different products, and how DPMO links to sigma level.
Where to look for potential Six Sigma projects, how to screen them, and how to prioritise them when resources are limited.
How to select the right Six Sigma project and team, including the roles of champion, Black Belt, Green Belt and team members.
The purpose of the Define phase and its key steps, from scoping the problem and identifying customers to agreeing what the project must achieve and by when.
How to write a clear problem statement and a SMART goal statement for a Six Sigma project, with examples of good and poor wording.
How to complete a Six Sigma project charter, covering the business case, problem and goal statements, scope, team, milestones and sign-off.
The purpose of the Measure phase and its steps, from mapping the process and planning data collection to establishing a performance baseline.
How to build a process map of the current state, using standard symbols to show steps, decisions and flow so problems become visible.
How to plan data collection, including what to measure, operational definitions, sampling, who collects the data and how.
The difference between continuous and discrete data, and which graphs such as histograms, Pareto charts and run charts suit each type.
Why the measurement system must be checked before trusting data, and how repeatability, reproducibility, accuracy and gage R&R are assessed.
How to measure process capability against customer specification limits, and how capability links to sigma level and defect rates.
The purpose of the Analyse phase and its steps for finding and proving the true root causes of a problem, so it does not return later.
How to use a cause-and-effect (fishbone) diagram to brainstorm and group the possible causes of a problem with a team.
The basic idea of hypothesis testing, including null and alternative hypotheses and p-values, for confirming whether a suspected cause is real.
How to plan and collect the data needed in the Analyse phase to test suspected root causes in a structured way.
How to read graphs and charts such as Pareto charts, box plots and scatter plots to spot patterns and confirm or rule out causes.
How to analyse a process map to find waste, delays, rework loops, bottlenecks and non-value-adding steps.
The purpose of the Improve phase and its steps for turning proven root causes into tested and implemented solutions.
How to generate solutions through brainstorming, then evaluate and select the best ones using criteria and selection matrices.
How to use Failure Modes and Effects Analysis to rank risks by severity, occurrence and detection, and reduce the chance a new process fails.
How mistake proofing, or poka-yoke, designs processes and products so errors are prevented or caught straight away.
Why and how to pilot test a solution on a small scale, check results and plan full implementation before going live.
The purpose of the Control phase and the steps that keep improvements in place after the project team hands over.
How statistical process control charts work, how to read control limits, and how to tell normal variation from a signal that needs action.
How to build a control plan that sets out what is monitored, the limits, who owns it and what to do when the process drifts.
Six Sigma is a structured way to find out why a process produces defects, and to fix the cause rather than the symptom.
Most people first meet it as a list of belts and acronyms. This course starts at the beginning: what Six Sigma is, the key ideas behind it, and how a project moves through Define, Measure, Analyse, Improve and Control.
It is pitched at White Belt level, for the person who joins an improvement team, supports the project and needs to understand what the Green and Black Belts are asking for.
WHAT YOU WILL LEARN TO DO
By the end of this course you will be able to:
HOW THE COURSE IS TAUGHT
WHAT IS COVERED
130 PRACTICE QUESTIONS
Every section ends with a quiz built around realistic scenarios, so you test your understanding as you go and reinforce what you have learned. Each answer comes with a short explanation.
Enrol today and learn how a Six Sigma project actually runs.