All processes are variable to some degree, but how can you be sure your processes are functioning within acceptable parameters? Capability analysis is a crucial step in evaluating variability and seeing how well a process meets predetermined specifications. And, if the data being studied is statistically stable, capability analysis not only demonstrates the ability of the system in the past, it can also predict the system’s future performance. This case study will showcase process data used to assess the color of paint from a variety of different angles.
You will walk away with a better understanding of:
- Best practices for exploring your process data.
- Ways to check the underlying assumptions of a process capability index.
- Techniques for adding normalized box plots, summary tables and capability indices for each variable in your analysis.
- A way to create an individual report for each variable in the data table, including indices that help demonstrate a system’s ability to meet a set of requirements.
- Examples of when capability indices help change the focus from just meeting qualifications to continuous process improvement.