{"id":7450,"date":"2022-07-07T14:46:47","date_gmt":"2022-07-07T12:46:47","guid":{"rendered":"https:\/\/testing.xplaye.com\/ikusi2\/?p=7450"},"modified":"2023-08-23T17:51:24","modified_gmt":"2023-08-23T17:51:24","slug":"smart-maintenance-and-the-ability-to-integrate-predictive-maintenance-solutions","status":"publish","type":"post","link":"https:\/\/testing.xplaye.com\/ikusi2\/en\/blog\/smart-maintenance-and-the-ability-to-integrate-predictive-maintenance-solutions\/","title":{"rendered":"Smart maintenance and the ability to integrate predictive maintenance solutions"},"content":{"rendered":"

Miren Sedano, Ikusi COO<\/em><\/p>\n

Building powerful technology tools both into Ikusi’s own and our clients’ processes gives us tens of thousands of data that can subsequently be analysed in order, in a first stage, to conduct a descriptive analysis. In later, more advanced phases, we can devise models to gain in-depth knowledge of how trains perform through predictive analytics, which use different artificial intelligence techniques to describe reality and even anticipate it.<\/p>\n

At Ikusi, we are furthering this twofold process. We are digitising our own processes, adapting our methodology and tools to bolster the integration of our processes with our client’s processes as a prerequisite for undertaking improvement actions.<\/p>\n

This greater technology services company-client integration ensures clients get highly visible useful information about incidents and repairs, filtered and improved through Business Intelligence tools, and practically in real time.<\/p>\n

By being far more digitised, we can send clients specific KPI and SLA (Service Level Agreement) compliance reports. This information, coupled with historical and real-time data, enables them to predict demand, monitor SLAs and pinpoint issues where there is room for improvement.<\/p>\n

Warehouse management is a good example of this ability to optimise customer processes by providing valuable information. Being able to plan train maintenance lets us help clients to keep their stocks to a minimum without exposing them to potential stock-outs. We can plan the necessary material and human resources, in the right place and at the right time.<\/p>\n

Giving clients enhanced visibility of their own maintenance processes leads to far more efficient rail maintenance, both of the trains themselves and their on-board systems.<\/p>\n

AI-based predictive analytics is taking rail maintenance to a new level by optimising the number of train service stops, improving schedule planning and maintenance tasks themselves.<\/p>\n

For more information contact: espana@www.ikusi.com<\/p>\n","protected":false},"excerpt":{"rendered":"

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