Investments in machinery and materials cost handsomely. So it makes sense that, as a company, you try to get the most out of those "assets." But to do that, you first need a clear view of their use (and possibly location).

The result of optimal production is often only visible when it has passed quality control and those results come back. With IIoT, we continuously capture the various effective process parameters, in addition to setting values, so that we can link to the impact on product quality, and thus use the right settings in the future, under current conditions, that create the right product quality.

Gain insight into the Overall Equipment Effectiveness (OEE) within your production department and optimize production processes using OEE data.

Capture exactly how much energy is consumed within your factory, where, when, for which products in which step, and based on that data see where you can create impact on your energy efficiency. An assembly line that keeps running, machines running at full power, unnecessary stopping and starting of systems, etc.

The last thing you want is your production line stopping abruptly due to neglected maintenance. It's essential to perform maintenance on time. However, it's equally important to note that unnecessary maintenance can be costly, consuming valuable production time, work hours, and resources. What if your system could alert you precisely when maintenance is needed, allowing you to replace only what's necessary at the perfect time?

The operator today faces a very different challenge than his colleague a decade ago. Greater variety in products, shorter life cycles, price pressure on raw materials and energy prices, and lots of temporary labor. The days of an operator making the same product for years at the same company are long gone. To get operators up and running faster, you can support them with all kinds of digital information. This ensures that the right person, the right information is available at the right time.