All Outputs (7)

Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data (2022)
Journal Article
Naybour, M. T., Remenyte-Prescott, R., & Boyd, M. (2024). Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238(1), 29-43. https://doi.org/10.1177/1748006X221135459

There are 11,619 community pharmacies in England which dispense over 1 billion prescriptions each year, providing essential primary care to NHS (National Health Service) patients. These pharmacies are facing pressure from a number of sources includin... Read More about Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data.

Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets (2022)
Conference Proceeding
Leva, M. C., Patelli, E., Podofillini, L., Wilson, S., Tan, A., Remenyte-Prescott, R., …Sharkey, D. (2022). Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets. In M. Chiara Leva, E. Patelli, L. Podofillini, & S. Wilson (Eds.), Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (489-496). https://doi.org/10.3850/978-981-18-5183-4_R12-08-152-cd

This research is conducted to study variations in the Newborn Life Support procedure. This procedure follows an evidence-based protocol to resuscitate and stabilize newborn babies requiring assistance at birth. Errors and ineffective actions in this... Read More about Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets.

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades (2022)
Conference Proceeding
Wu, W., Saleh, A., Remenyte-Prescott, R., Prescott, D., Ruano, M. C., & Chronopoulos, D. (2022). Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades. In Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (1385-1392). https://doi.org/10.3850/978-981-18-5183-4_R22-24-242-cd

Optimal asset management strategies for wind turbine blades help to reduce their operation and maintenance costs, and ensure their reliability and safety. Structural health monitoring (SHM) can determine the health state of wind turbine blades throug... Read More about Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades.

Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar (2022)
Conference Proceeding
Remenyte-Prescott, R., Sanderson, K., Kopustinskas, V., & Simola, K. (2022). Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar. . https://doi.org/10.2760/503700

These proceedings are the outcome of the 60th ESReDA seminar “Advances in Modelling to Improve Network Resilience” that took place at the Université Grenoble Alpes in France, on 4-5 May in 2022. A broad spectrum of resilience topics were covered, wit... Read More about Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar.

An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification (2022)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2022). An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification. Structural Control and Health Monitoring, 29(10), Article e3027. https://doi.org/10.1002/stc.3027

Large amounts of data are generated by structural health monitoring systems continuously. Data-driven methods can transform the available data into valuable information for decision makers. However, these methods for structural health monitoring of b... Read More about An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification.

Guided waves-based damage identification in plates through an inverse Bayesian process (2022)
Journal Article
Wu, W., Malik, M. K., Cantero-Chinchilla, S., Lawrie, T., Yan, W. J., Tanner, G., …Chronopoulos, D. (2022). Guided waves-based damage identification in plates through an inverse Bayesian process. Ultrasonics, 125, Article 106773. https://doi.org/10.1016/j.ultras.2022.106773

The use of guided waves to identify damage has become a popular method due to its robustness and fast execution, as well as the advantage of being able to inspect large areas and detect minor structural defects. When a travelling wave on a plate inte... Read More about Guided waves-based damage identification in plates through an inverse Bayesian process.

Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data (2022)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2022). Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data. Automation in Construction, 140, Article 104366. https://doi.org/10.1016/j.autcon.2022.104366

Bayesian Belief Network (BBN) methods can be adopted for reliability analysis and real-time monitoring of critical infrastructure. Conditional Probability Tables (CPTs) are used to describe the dependencies between nodes in the BBN. The CPTs are usua... Read More about Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data.