Solution Briefs

SPC: Control charts on your measurements

A specification check tells you whether a result passed. It does not tell you whether the process is steadily moving toward failure.

In many quality operations, results are exported to a separate statistics package and charted weekly or monthly. By the time a control chart highlights a trend, the batch may already have been made, released, or followed by several more like it.

Uncountable builds SPC charts from the measurements already recorded in the platform. Configured mean, upper and lower control limits, capability metrics, and run rules help teams identify signals within specification, not just failures outside it.

When a point is flagged, the chart does not lead to another search. It remains connected to the measurement, batch, lot, formulation, and configured investigation workflows, including CAPA, review, and approval.

Inside this solution brief:

  • How to chart recorded output measurements without exports or re-entry
  • Why specification limits alone miss meaningful process drift
  • How to configure baselines, control limits, and run rules by series
  • Ways to connect an SPC signal to the relevant batch, lot, and formulation
  • How out-of-specification results can initiate configured investigation workflows

See process variation while there is still time to act, and retain the evidence behind every response.

FAQs

What is statistical process control (SPC)?

Statistical process control uses control charts and statistical rules to monitor process variation over time. It helps quality teams identify unusual patterns and process drift before results move outside specification limits.

What is the difference between specification limits and control limits?

Specification limits define whether a product or result meets an approved requirement. Control limits show the expected range of normal process variation based on observed measurements. A result can be within specification but still indicate that the process is drifting and needs investigation.

How does SPC help quality teams find problems earlier?

SPC applies configured run rules to measurements as they are recorded. This helps teams identify trends, shifts, or unusual variation while there is still time to investigate the process and prevent additional affected material.

Can SPC charts be created from existing QC measurements?

Yes. Uncountable creates SPC charts from output measurements already recorded in the platform, rather than requiring teams to export data to a separate statistics package and re-enter results.

What information is linked to an SPC signal?

Configured SPC points can remain linked to the measurement, batch, lot, formulation, and other records behind the result. This gives quality teams the context needed to begin an investigation without manually reconstructing the evidence trail.

See the Platform Behind the Guide

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