In all sectors of the economy, whether in the governmental or private sector, one of the most crucial factors for success is the ability to maintain one’s assets most efficiently and effectively. Finding the best approach for the maintenance of an asset means that it will create the best value possible, …

Over the past decade, the complexity of operations in maritime port areas has increased significantly. Considering the challenges ports are facing with the maintenance of aging infrastructures, the need for asset management efficiency within the port industry is imperative. The willingness to ensure …

This paper reports about preparatory work for future standardization that is carried out through an EU coordination and support action titled IM-SAFE. It focuses on applied digital technologies for monitoring and safety, including predictive maintenance of bridges and tunnels. Amidst the improved affordability …

Estimating the remaining useful life (RUL) of an asset lies at the heart of prognostics and health management (PHM) of many operations-critical industries such as aviation. Mod- ern methods of RUL estimation adopt techniques from deep learning (DL). However, most of these contemporary tech- niques deliver …

Predictive maintenance is the promise of the future in infrastructure asset management. Predictive maintenance more and more uses sensor data. Sensors are relatively cheap, and their data mostly comes in huge quantities. Trends or flags may be observed in the data, sometimes with traditional statistical …

The capacity to deal with digital transformation is a valuable asset for established organizations, and employees play a crucial role in this process. This study contributes to the understanding of employees’ sensemaking of digital transformation in the tour operating industry. Using prior digital transformation …

Onderzoek naar een gegevensstructuur voor de kwalitatieve objectrisicoanalyse. Het doel van dit onderzoek is om inzicht te krijgen in hoe Linked Data kan worden gebruikt om onderhoudsplanningen voor civieltechnische bouwwerken van Rijkswaterstaat te verbeteren.

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …