Te 3-sigma rule is a crisental concept in statistical process control (SPC). It helps monitor and control processes by identifying variations that are statistically contribulant. This article explicis the principla and how to applity it effectively in quality management.

Co je to za 3-Sigma Rule?

Te 3-sigma rule states that in a normal distribution, approately 99,7% of data point fall with in three stadard deviations (sigma) of thee mean. This means that data outside this range are consided unusual or indicative of a potential problem in te process.

Aplikation in Statistical Process Controll

In SPC, control charts use the 3-sigma rule to detect variations. When data points fall outside the control limits set at three standard deviations from the mean, it signals that the process may be out of control. This prompts investition and corrective actions.

Krok po Implement te 3-Sigma Rule

  • Collect data from thee process over time.
  • Calculate thee mean and standard deviation.
  • Plot data pointes on a control chart with upper and lower control limits at ± 3 sigma.
  • Monitor for points outside thee control limits.
  • Vyšetřovatel a jeho adresáti jsou příčinné souvislosti of variation when limits are exceeded.