Real-time data-driven maintenance logistics

Because of Internet-of-Things, companies have a lot of real-time data about assets and spare parts. This real-time data gives companies the opportunity to organize the maintenance of assets more efficiently. Companies should therefore transition from static, time-driven towards dynamic, data-driven maintenance processes. This project develops techniques to support this transition.