Let's look at how digitization can improve maintenance management by reducing downtime and increasing productivity.
With the increasing complexity of industrial operations, accurate and intelligent management of machinery maintenance becomes necessary. Innovation System's intervention is bringing about a change within Conceria Zonta by implementing new custom software in our IoT platform OnSystem for optimized and proactive management of maintenance activities.
The IoT platform provides a centralized system that will enable the company to manage, supervise and optimize all maintenance-related activities smoothly.
The main dashboard screen will provide a real-time overview of all production machinery, with operational status, scheduled maintenance and downtime that is planned. It will then allow detailed supervision of each machine, enabling timely and proactive intervention, and minimizing downtime.
The IoT software will make it possible to manage the flow of requests and the assignments of various activities: in fact, it will be possible to associate specific information with each intervention, priorities on execution, the types of intervention, and to create customized checklists.
The ability to attach additional documents and notes will enrich the detail of maintenance operations, providing accurate tracking and an easily accessible digital archive.
Through data analysis, the OnSystem platform will provide important key performance indicators, such as MTBF, which is the mean time between two failure-type maintenance, and MTTR, the mean response time of intervention. These types of data will help optimize machines as they reduce downtime and maximize productivity overall.
In addition, by offering flexible periodic maintenance options, customers will be able to select fixed periods or dynamic schedules based on machine hours, optimizing efficiency.
Finally, our software solution will make it possible to customize maintenance schedules tailored to each individual machine. This will ensure flexible and precise management, with predictive intervention times and accurate projection of work duration.
At the end of each intervention, the system will be able to generate detailed reports and analytical statistics: this reporting will provide in-depth analysis of the performance of various machines, thus enabling performance evaluation. With this information, it will then be possible to more accurately identify the elements that require more attention, constantly improving the industrial maintenance process.
With the integration of this customized IoT solution, Conceria Zonta's digitized maintenance will then kick-start new predictive and user-centric strategies, thanks in part to the user-friendly, simple and intuitive dashboard interface.
Finally, we believe that digitizing maintenance in industry is a step forward for sustainability, as accurate machine management reduces waste and improves energy efficiency and operational resources.
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