PrimaVera Project
No more train delays, power outages, or failure of production machines? The PrimaVera project, funded by the Dutch National Research Agenda (NWA), represents a major step towards this goal. With predictive maintenance, or just-in-time maintenance (maintenance just before a system breaks down), the reliability of infrastructure and production resources can be increased and the costs of maintenance can be reduced.
Existing predictive maintenance techniques only work for small-scale systems and are difficult to scale up. Choices made in one place in the chain have an important influence on other processes in the chain. The choice of a certain type of sensors and measurements influences the type of predictions that can be made, and therefore also the quality of the predictions. That is why cross-level optimization methods are being developed within PrimaVera.
2024 |
Transition paths for condition-based maintenance-driven smart services. In: Journal of Operations Management, vol. n/a, no. n/a, 2024. | :
CTMCs with Imprecisely Timed Observations. In: TACAS 2024, 2024. | :
2023 |
Robust Spare Parts Inventory Management. In: Management Science (submitted), vol. 15, 2023. | :
Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers. In: Advances in mechanical engineering, vol. 15, no. 6, 2023, ISSN: 1687-8132. | :
Maintenance optimization for capital goods when information is incomplete and environment-dependent. In: IISE Transactions, vol. 0, no. 0, pp. 1-16, 2023. | :