In many plastics plants, scrap is weighed in one place: at the grinder. That single number feels tidy, but it hides the only question that matters — which machine made the scrap.
A plant-wide average treats every press as equal. A press running well and a press producing steady rejects are blended into one figure that can look acceptable while one machine quietly does most of the damage. Maintenance, tooling and setup attention then get spread evenly, instead of going where the evidence points.
Scrap also has more than one cause. Startup scrap, purge material, short shots, flash and damaged parts all end up in the same bin, even though each one points to a different fix. Weighed together, they teach the plant almost nothing.
The separation does not require new machinery. It requires recording scrap by machine, by job and by reason at the point it is created, then reading that record alongside run and setup logs. That is the kind of existing-data work KSPACE TECHNOLOGIES does through its operational intelligence work — connecting records the plant already produces before recommending anything new.
And the work continues past the first reading. Once the worst-performing presses are identified, KSPACE TECHNOLOGIES helps the plant act on tooling, setup or process causes, and keeps tracking the same per-machine record to show whether each fix is done, in progress, or not started.
The takeaway: never judge a plastics plant by one scrap number. Break it down by press for a short period and the average will give up its secret — the problem usually has a machine number on it.