Real-time data-driven maintenance logistics

Thanks to the Internet of Things (IoT), a wealth of real-time data is now available. This includes information about machines (assets), as well as spare parts and the technicians who maintain these machines. This data can be used to organize machine maintenance in a smarter and more cost-effective way.

To achieve this, companies need to make the transition from a traditional way of working, where maintenance is scheduled at fixed times, to a flexible approach driven by real-time data. This project develops methods and solutions to facilitate that transition.