Case study: Laboratories & science
Governed observation populations, limits and rules turned charts into traceable quality decisions.
System
The laboratory wanted statistical process control to distinguish routine variation from isolated quality events and gradual drift. Drawing a chart was not the difficult part: measurements sharing a parameter name could come from different processes, materials, instruments or methods and therefore be scientifically incomparable. Using only today's control limits would also reinterpret historical alerts whenever those limits changed.
The I-MR plan fixed the recipe, chamber, measurement method and approved baseline before evaluation. Every event retained its original limit set, rule set and engine version; reviewers could inspect the supporting observation and open an investigation without recalculating history.
Review the signal. Preserve the evidence.
Individuals and moving range · approved plan
Evidence retained: Each signal retained its observation, population definition, control limits, rule set and evaluation version.
Have a similar operating problem? Share the environment, constraint and result you need. We can discuss the engineering path without exposing confidential details.