In this work, the concept of an Artificial Intelligence-based (AI) Digital Twin (DT) of an aircraft system is introduced, with the goal to improve the corresponding MRO Operations. More specifically, the current study aims to obtaining knowledge on the optimal placement of sensors in an ideal Power Electronics …

This work focuses on humidity effects of turbofan engines, in order to identify the magnitude of the error in operational conditions and the implications on maintenance decision support. More specifically, this paper employs a set of different methods, including semi-empirical corrections used in engine …

Objectives: The animated medication information tool ‘Watchyourmeds’ provides information in an accessible manner through animated videos and therefore appears to be especially suitable for people with limited health literacy. This study aimed to assess the implementation of this animated medication …

This paper aims to develop a tool for measuring the clients’ maturity in smart maintenance supply networks. The assessment tool is developed and validated for corporate facilities management organizations using case studies and expert consultation. Based on application of the assessment tool in five …

This paper aims to develop a tool for measuring the clients’ maturity in smart maintenance supply networks. The assessment tool is developed and validated for corporate facilities management organizations using case studies and expert consultation. Based on application of the assessment tool in five …

The adoption of new technologies requires people to work differently and adopt new ways of thinking. This, however, is complicated because social conventions in professional disciplines are deeply rooted and have a long history. An extreme case as an exemplar was studied to investigate social change …

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 …

This thesis is a part of BEESPOKE, an international initiative to reverse the decline of wild pollinators and create more resilient agroecosystems by providing expertise, tools and financial knowledge to land managers and policy makers. The severe decline of pollinators and other beneficial insects is …

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 …

We examine the demise of a multi-stakeholder network that was launched to promote an inclusive dairy market in Ethiopia to better understand why nongovernmental organizations (NGOs) may develop interventions in contexts of poverty that fail to endure after they exit. We identify organizational reflexivity …