Short answer
A spreadsheet and a standard cycle time are enough to track quality, catch micro-stops and point to the priority machine — no big budget required. But OEE only points the way. It never replaces gemba, where you actually see the source of the problem.
Quality: a spreadsheet is enough to start
A spreadsheet handles part of the OEE picture well — quality analysis, for instance, since defects can simply be counted. You don't need an MES-class system to start seeing where and how often defects show up. It's the simplest, practically free starting point.
Micro-stops: standard cycle time as a reference point
The next pieces can also be implemented today at relatively low cost. A system built on standard cycle time treats any time above it as a micro-stop — no expensive infrastructure needed, just a clearly defined reference point and consistent data collection.
What this gives you in practice
This approach lets you catch parameter drift during production, identify the causes of micro-stops, and observe process instability — before it grows into a real stoppage or a quality problem that only shows up in a report.
Correlating injection settings with quality — this is where DoE pays off
Correlating injection settings with quality control results and material test data delivers a lot of value. In this area I especially recommend using DoE (Design of Experiments) — it lets you systematically test which process parameters actually affect quality, instead of guessing or changing settings after a single observation.
OEE points the way, it doesn't replace gemba
It's worth remembering that OEE's primary job is to point to the machine or area that needs attention. It's a prioritization tool, not a diagnosis. It never replaces being on the gemba — that's where you actually see the real sources of problems, which no metric shows on its own.
Author
Andrzej Smoleński — production and operations transformation manager, Lean Six Sigma Master Black Belt. More than 20 years of experience developing processes, teams and management systems.