Overview
Assessing process capability ensures that a manufacturing or business process meets specifications and produces consistent, high-quality results. Among the various steps involved in process capability analysis, one stands out as the most important.
Data Collection
By focusing on how the data is collected, we can address several of the challenges surrounding process capability:
- How do we ensure our process remains stable? We follow that data and obtain alerts when the process drifts out of control.
- How do we make sure that an outlier is not a typo or mistake? We use a system that detects anomalies and makes sure that the data entered manually is within certain bounds.
- How do we prevent our capability analysis from being based on multiple groups such as multiple manufacturing lines? We set up and automate data entry to separate groups and prevent this from happening.
- How do we prevent the rounding of data? We connect directly to the source of the data so that every available decimal place is captured.
- And finally, how do I handle these potential data collection challenges? Consider using Minitab Connect to access, prepare, and visualize your data.
Minitab Connect allows you to automatically access your data directly from a variety of sources and offers a form functionality to manually enter data that automatically validates the values that are entered. If data preparation is needed to shape your data for capability analysis, these steps can be implemented as repeatable workflows, eliminating repetitive data setup processes. Once you are confident you have the correct data, dynamic control charts and capability analysis in Minitab Connect dashboards enable you to assess your process stability and capability in real time.
Now, let’s step back and look at the key concepts around capability analysis for context.
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