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Smart Industries: Data Science to improve Performance

The industry Performance plays a key role on achieving positive results. In this aspect, the level of productivity of the machines is measured, checking if the time and quantity of production are meeting the demand.

To keep good performance if the machinery, it is necessary to monitor several aspects, like the settings related to the production speed of the equipment.  Also, the maintenance process is essential to ensure that the machinery is working according to the scheduled availability time. This situation happens because the right maintenance enables to predict failures, make scheduled changes, and avoid downtime.

According to the CNI (National Confederation of Industry), the investments scheduled for 2024 by the industry are focused on expanding production capacity (42%) and improving the current production process (42%). Furthermore, in 2023, about 74% of these industries had technological innovation like a strategy of investment. This information was disclosed in the study “Investments in the industry“, published in 2024.

An example of this type of technological innovation is digitalization, which helps the industry to reach a new level of productivity. This case shows how a large multinational in the food sector used data science to improve the performance of its production lines. The industry decided to implement the ST-One Solution when it noticed that two apparently identical lines were working at different speeds. By analyzing the data collected, it was possible to find out why this situation was happening, and to fix the problem.

The impact of this action is also on profitability, when it is considered that performance is an important factor in the financial results of industries. According to the Industry Portal, there is an 86% up in productivity after the implementation of technologies in the production line.

Discover more cases like this, in an extended version, on the success stories page.

Improve Performance

Copyright: Motion Array

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