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Dr RASA REMENYTE-PRESCOTT's Outputs (3)

Evaluation of a community pharmacy dispensing process using a coloured Petri Net (2018)
Book Chapter
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2018). Evaluation of a community pharmacy dispensing process using a coloured Petri Net. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, & J. E. Vinnem (Eds.), Safety and Reliability : Safe Societies in a Changing World : Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway (2059-2066). CRC Press. https://doi.org/10.1201/9781351174664-259

UK customers visited community pharmacies to receive NHS prescriptions 1.104 billion times in 2016. One study of dispensing errors found an error rate of 3.3%. Severe dispensing inaccuracies often receive a high level of media attention, however, low... Read More about Evaluation of a community pharmacy dispensing process using a coloured Petri Net.

A sensor selection method for fault diagnostics (2017)
Book Chapter
Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2017). A sensor selection method for fault diagnostics. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using senso... Read More about A sensor selection method for fault diagnostics.

A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection (2017)
Book Chapter
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

More than 35% of the European railway bridges are over 100 years old and the increasing traffic loads are pushing the railway infrastructure to its limits. Bridge condition-monitoring strategies can help the railway industry to improve safety, availa... Read More about A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection.