All Outputs (3)

Maintenance strategies for networked assets* (2022)
Conference Proceeding
Perez Hernandez, M., Puchkova, A., & Kumar Parlikad, A. K. (2022). Maintenance strategies for networked assets*. . https://doi.org/10.1016/j.ifacol.2022.09.199

The purpose of this paper is to analyse the effect of different maintenance strategies for a network of assets whose condition deteriorates progressively along the time. We propose both an agent-based model that considers the dynamics of data traffic... Read More about Maintenance strategies for networked assets*.

The value of information for dynamic decentralised criticality computation (2022)
Conference Proceeding
Proselkov, Y., Herrera, M., Hernandez, M. P., Kumar Parlikad, A. K., & Brintrup, A. (2022). The value of information for dynamic decentralised criticality computation. In IFAC-PapersOnLine (408-413). https://doi.org/10.1016/j.ifacol.2022.04.228

Smart manufacturing uses advanced data-driven solutions to improve performance and operations resilience requiring large amounts of data delivered quickly, enabled by telecom networks and network elements such as routers or switches. Disruptions can... Read More about The value of information for dynamic decentralised criticality computation.

Network maintenance planning via multi-agent reinforcement learning (2022)
Conference Proceeding
Thomas, J., Pérez Hernández, M., Parlikad, A. K., & Piechocki, R. (2022). Network maintenance planning via multi-agent reinforcement learning. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2289-2295). https://doi.org/10.1109/SMC52423.2021.9659150

Within this work, the challenge of developing maintenance planning solutions for networked assets is considered. This is challenging due to the very nature of these systems which are often heterogeneous, distributed and have complex co-dependencies b... Read More about Network maintenance planning via multi-agent reinforcement learning.