Statistical Process Control (SPC) is a method used in QMSCAPA software, among other Quality Management Systems, to monitor and control a process through statistical analysis. Here are some basic SPC tools and techniques found in QMSCAPA:
- Control Charts: These charts help monitor process performance over time and identify variations. They distinguish between common cause variation (inherent to the process) and special cause variation (due to external factors).
- Pareto Charts: These charts identify and prioritize the most significant factors in a process, helping to focus improvement efforts on the most impactful areas.
- Histograms: These are bar charts that show the distribution of data, helping to understand the variation within a process.
- Scatter Diagrams: These diagrams show the relationship between two variables, helping to identify correlations and potential causes of variation.
- Cause-and-Effect Diagrams (Fault-Tree Diagrams): These diagrams help identify potential causes of a problem, organizing them into categories for easier analysis.
- Check List/Sheets: These are simple forms used to collect and analyze data, often used for tracking defects or occurrences.
By using these tools, organizations can detect issues early, improve process stability, and enhance overall quality.