Tableau Advanced Use Cases & Features

Control Chart

by Data Boutiq

A control chart is a vital tool in statistical process control, used to monitor whether a manufacturing or business process is operating within set parameters.

It features three key components: the central line (CL) representing the average or mean of the data, the upper control limit (UCL) indicating the threshold above which the process is considered out of control (often set at three standard deviations above the mean), and the lower control limit (LCL) marking the threshold below which the process is considered out of control (typically set at three standard deviations below the mean).

These elements help in identifying variations in the process, ensuring consistency and quality in production or operations.

A control chart use cases

  • Quality Control: Control charts monitor processes for significant deviations, helping identify special-cause variations and enabling corrective actions.

  • Capacity Management: They track key performance indicators, informing decisions about capacity management.

  • Process Improvement: Control charts track the progress of process improvements over time, using upper and lower control limits to define acceptable variation ranges.
  • Root Cause Analysis: By identifying points significantly outside control limits, control charts help pinpoint sources of variation, facilitating targeted corrective actions.

How to implement a control chart

For step-by-step instructions, check the Tableau Public workbook.

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