Sometimes industry focus solely on known issues. However, at Alhona we elevate our standards by proactively enhancing overlooked areas. Our goal is to keep these processes at their highest level of efficiency, ensuring their optimal performance.

How do we optimize the efficiency of the industrial process?

Let’s consider cycle times as an example. In a production process, we breakdown the cycle times of each of the elements involved and analyze every detail of their behavior. We concentrate on both reducing times and identifying the lack of stability over time.

First, we create a series of tasks to understand its behavior and breakdown its performing time. Hence, we will get and control the detail of the times of each of the tasks.

Through the IoT, the behavior of the tasks is analyzed and, in case variabilities or significant deviations are detected, the cause is sought and corrected.

In this way, we avoid small performance losses that would go unnoticed without the level of detail that Alhona’s IoT provides.

How do we ensure this process optimization over time?

It is important that this process optimization is maintained over time. For this purpose, we use streaming data processing as a key resource.

IoT data enters massively and continuously in our cutting-edge stream data processing engine to get a real-time analysis with our algorithms kicking into high gear.

The stream data analytic is a key resource to obtain value from data. AI algorithms and analytic models developed are deployed in this engine and, as data floods in seamlessly, it is analyzed in real time. Hence, decisions can be taken immediately, increasing efficiency, and reducing costs, and keeping the processes at their optimum performance.

All these small improvements aggregated and detected through AI models bring significant benefits to any industrial process.