Your average looks fine. Which machine is hiding behind it?
What each machine is really rejecting. How many hours were lost waiting for moulds. How fast you can trace a batch back to its resin lot.
Three moulders. Each one had an average that was hiding an outlier.
Every moulder knows his overall rejection percentage. Almost none know it per machine, per mould, per shift.
So a mould that has drifted out of tolerance keeps running, and the rejection is absorbed into a monthly average that looks acceptable.
Shots in and good parts out are recorded per machine, per shift. The average stopped hiding the outlier.
A job is planned. The mould is in the tool room, or on another machine, or waiting for a repair nobody logged.
The machine sits idle while somebody goes to find out. Mould availability was never part of the plan, it was assumed.
Mould status became a field on the job. A job cannot be scheduled onto a machine whose mould is not confirmed free and fit.
A customer reports a batch failing. You need to know which resin lot went into it, which machine ran it, and what else used the same lot.
That answer exists across a store register, a production sheet and somebody's memory. Assembling it takes a day.
Resin lot, machine and shift attach to the batch as it is produced, so the trace is a filter rather than an investigation.
An average is a comfortable number. It is also where problems go to hide.
Every shot. Every rejection. Every mould tracked.
This is how a print job moves through your business. Clicarity gives you live visibility at every phase, and flags delays before they become client calls.
What improves in plastics businesses using Clicarity
Questions from plastics businesses
See every mould. Every rejection. While you can still act.
Book a free demo. We'll map your moulding workflow live on the call.