Many production lines contain at least one older machine with limited automation. When this legacy equipment is critical to line performance, the lack of instrumentation can create a blind spot in the process. Management is often faced with expensive options for new equipment or upgrades in order to rectify the situation.
Consider the following example:
An old labeler is suspected of causing downtime on a packaging line. Frequent jams are backing up the line, causing downtime at the filler. No one really knows how much downtime is at stake, but it could be as much as 40% of the filler’s downtime.
Using the Root Cause Assignment Tool within Acumence, the operator can easily attribute filler downtime to labeler jams as they occur.
Then, in the Root Cause Pareto chart for the filler, you can see that over fourteen minutes of downtime was caused by “Labeler Jam”.
This is enough intelligence to dispatch a mechanic to take-action.
Good manufacturing intelligence is gathered at every step of the process, regardless of age or automation level of the equipment. The newfound visibility into older equipment will drive performance beyond expectations.
In summation, Acumence allows you to: