An overview article on the concerted approach to predictive maintenance within the PrimaVera project has been accepted for publication in Applied Sciences. This high-level article should be inspiring for anybody who is interested in predictive maintenance, and many researchers involved in the PrimaVera project have contributed to the article. The Read more…
On November 23rd, 2020, Lisandro A. Jimenez-Roa successfully defended his PDEng project on data-driven damage detection for bridges through vibration structural health monitoring. This project sponsored by the Dutch Ministry of Infrastructure (Rijkswaterstaat) was conducted at the University of Twente in the Construction Management and Engineering (CME) group. Currently, Lisandro Read more…
Think about all the times you had to endure train delay because of an expected switch failure, flight cancellation due to malfunction in air traffic control, blocked or reduced speeds on road due to unexpected, unannounced repair of roads/bridges. As a user, we expect the transport network to be efficient, reliable and available. At the same time, transportation agencies are facing competing demands to optimally spend the limited budget and manage aging infrastructure. In this talk, I will highlight the research efforts that addresses the challenges of infrastructure asset management by developing, implementing and validating the data-driven decision support methods. Specifically, I will present the case of automated damage detection of bridges using visual data and predicting maintenance need of railway switches using data from in-use business processes.
A fundamental problem for the further adoption of ’smart’ maintenance in service triads is that costs and benefits are dislocated in time and place. When maintenance is done with IoT enabled condition-based maintenance, in so-called CBM-driven smart services, uptimes and revenues will increase for the asset owner. However, the revenues for the other stakeholders may decrease. OEMs may provide fewer spare parts and service providers may sell fewer direct maintenance hours. And so, what is obviously beneficial for the service triad as a whole does not happen because of this misalignment. Contractual arrangements are needed that overcome these misalignments, so-called performance-based contracts. This calls for an integrated perspective on costs and benefits of smart maintenance over time. Constructing formal business models of these dynamics with all the relevant stakeholders is a proven method to develop such an integrated perspective and the associated performance-based contracts. Moreover, these dynamics change over time. The challenges and opportunities in the early stages of service growth are different from those later on. In the talk, all these business model dynamics will be discussed, based on recent work with OEM eager to develop CBM-driven smart services.