Statistical Process Control (SPC) and Capability 1
Learn how to work with your internal existing data, thereby contributing to better performance for your existing processes. The SPC (Statistical Process Control) tool continuously collects data on the organization’s processes. If these data should be of value, we must learn to understand, analyze and make decisions based on that.
At this course you will learn how data is processed through SPC and how to use data to create improvements in your existing processes. You also learn about capability, ie whether we meet customer requirements and to what extent we meet customer requirements.
Target Group for SPC & Capability 1
The course is for you who need to perform statistical analyzes that can provide information about your current performance or seek reasons for problems encountered. Perhaps you already have an SPC system that collects data, but you can never really use this data and lack the knowledge or the last push to start the data work.
If you are in the process of training as a Six Sigma Green or Black Belt this module will be one of the compulsory modules. It helps you to use the data approach in your practical DMAIC project.
What will you learn?
When the day is over, you will be able to analyze the processes existing performance when the data is normally distributed and not normally distributed. You will be able to understand the variance in the process; i.e. listening to the “Voice of the Process” – and analyze how the process performs from a statistical perspective.
You will learn how you see if your performance meets customer requirements, and not least, to what extent it meets customer requirements – also called capability.
You will develop your knowledge of control diagrams for attribute data as well as non-distributed data, and you will be able to work more with systematic variation, batch differences, and capability over specification limits.
Specifically, you will learn to understand and apply statistical concepts and tools such as:
- Control diagrams that can help in statistical process control
- Capability, confidence interval and sample analysis
- Sigma values, CpK values and PpK values
Content in bullets
- Variance component analysis – the first preliminary analyses of the variation in a process
- Sampling – gain insight into the confidence interval for the mean, standard deviation and error rate
- Control charts for normally distributed data (SPC)
- Capability for normally distributed data – what is the specific process actually able to produce?
- Tolerance Interval
- Control Charts for none normally distributed data with batch difference and systematic variation
- Control Charts with attribute data
- Capability for none normally distributed data
- Gathering of risk, AQL and verification level
Note
You should be aware that the course requires that you have participated on Intro to statistics and SAS JMP / Minitab, if you have not previously worked with the statistical programs SAS JMP and Minitab. We recommend using SAS JMP, but if you or your company already work in Minitab, we will of course support this choice.
Before the start of the course, you need to have either SAS JMP or Minitab downloaded on your own PC.
Extended curriculum
This course can be extended with one additional courses on statistical process control (SPC) and capability:
For further focus on improving performance and processes you can seek further inspiration on the course Process and risk management and/or the course Design of Experiments (DOE) 1
Finally, you can also choose to continue training as a Lean Six Sigma Green or Black Belt and thus be able to both optimize, manage and develop processes.