🔒 Please log in to use tool features (fill sample / analyze / AI interpretation / export document)
HomeQuality ToolsAdvanced SPC Control ChartsG/T Rare Event Control Chart
G/T Rare Event Control ChartFree online tool · works on PC and mobile
Use it now →

G/T Control Chart: Monitoring Zero-Inflated Rare Events

What is the G/T Control Chart?

Rare events such as safety incidents or major defects are mostly zero, so conventional P/C charts drown in zeroes. The G chart monitors the time (or batch) interval between events, which follows a geometric distribution; the T chart applies the power transform t^0.2777 to the intervals to approximate normality so conventional control limits can be used. The exponent 0.2777 is empirical (about 1/3.6) and is applied automatically by the tool.

When to Use It

Use it for extremely low defect rates dominated by zeros: safety incidents, injuries, major equipment failures and rare quality defects. Record the interval between events rather than only counts — a shorter interval means events are clustering. Keep the event definition consistent to avoid definition drift.

How to Use It (Step by Step)

Enter the event dates or sequence intervals, and the tool applies the t^0.2777 transform and plots I-MR-type limits, marking violations. An interval below the lower control limit means event frequency is rising — investigate immediately; lengthening intervals mean the improvement is working.

Key Formulas / Example

T = t^0.2777; control limits are computed from the mean and moving range of the transformed values. Accumulate at least 15–20 event intervals before fixing the initial limits, and recompute the baseline whenever the event rate changes.

Open G/T Rare Event Control Chart → Calculate online in your browser · free registration · PC and mobile
SPC Discussions · Latest
No discussions yet — be the first to ask a question in the community.
Frequently Asked Questions
What is the difference between the G and T charts?
The G chart monitors the raw event interval; the T chart transforms the interval first, coming closer to normality and signaling more sensitively. The two are often used together.
Can I build the chart with too few events?
Accumulate at least 15–20 intervals before setting initial limits; with fewer, the limits are unstable and the signals are unreliable.
What does a shortening interval mean?
It means event frequency is rising — a bad signal. Points below the lower control limit show two events came unusually close together and need immediate investigation.