All Outputs (59)

Application of Network-level Traffic Flow Model to Road Maintenance in China (2019)
Journal Article
Yang, C., Zhang, X., & Remenyte-Prescott, R. (2020). Application of Network-level Traffic Flow Model to Road Maintenance in China. Infrastructure Asset Management, 7(4), 297-306. https://doi.org/10.1680/jinam.18.00041

This paper shows how to simulate highway traffic flows using a Network-level Traffic Flow Model (NTFM) for both urban and motorway road networks. It highlights how road maintenance works can be modelled using a roadwork node in the network, and how t... Read More about Application of Network-level Traffic Flow Model to Road Maintenance in China.

Ant colony optimisation for community pharmacy dispensing process based on in-field observations (2019)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2019). Ant colony optimisation for community pharmacy dispensing process based on in-field observations. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019), 4249-4257. https://doi.org/10.3850/978-981-11-2724-3_+0465-cd

The community pharmacy dispensing process is an integral part of delivering effective primary care to patients around the world. However, dispensing error rates and related patient safety issues are always a concern in the sector, where studies have... Read More about Ant colony optimisation for community pharmacy dispensing process based on in-field observations.

Sensor selection for fault diagnostics using performance metric (2018)
Journal Article
Andrews, J., Reeves, J., Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2018). Sensor selection for fault diagnostics using performance metric. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 537-552. https://doi.org/10.1177/1748006X18804690

As technology advances, modern systems are becoming increasingly complex, consisting of large numbers of components, and therefore large numbers of potential component failures. These component failures can result in reduced system performance, or ev... Read More about Sensor selection for fault diagnostics using performance metric.

Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach (2018)
Journal Article
Naybour, M., Remenyte-Prescott, R., & Boyd, M. J. (2019). Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach. Reliability Engineering and System Safety, 182, 258-268. https://doi.org/10.1016/j.ress.2018.09.022

© 2018 It has been estimated that European customers visit community pharmacies to access essential primary healthcare around 46 million times every day. Studies of dispensing error rates in community pharmacies have reported error rates of between 0... Read More about Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach.

A sensor selection method using a performance metric for phased missions of aircraft fuel systems (2018)
Journal Article
Reeves, J., Remenyte-Prescott, R., Andrews, J., & Thorley, P. (2018). A sensor selection method using a performance metric for phased missions of aircraft fuel systems. Reliability Engineering and System Safety, https://doi.org/10.1016/j.ress.2018.07.029

Component failures in complex systems, such as aircraft fuel systems, can have catastrophic effects on system performance. There are a large number of components in these systems, each with a number of different failure modes, some of which can cause... Read More about A sensor selection method using a performance metric for phased missions of aircraft fuel systems.

An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures (2018)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2018). An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures. Tunnelling and Underground Space Technology, 81, 68-82. https://doi.org/10.1016/j.tust.2018.07.013

A large amount of data is generated by Structural Health Monitoring (SHM) systems and, as a consequence, processing and interpreting this data can be difficult and time consuming. Particularly, if work activities such as maintenance or modernization... Read More about An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures.

Evaluation of a community pharmacy dispensing process using a coloured Petri Net (2018)
Conference Proceeding
Naybour, M. T., Remenyte-Prescott, R., & Boyd, M. J. (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). 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.

Reliability modelling of dispensing processes in community pharmacy (2018)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2018). Reliability modelling of dispensing processes in community pharmacy. In Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability. https://doi.org/10.19124/ima.2018.001.18

Studies of error rates in community pharmacies have reported error rates of between 0.014% and 3.3% per item dispensed. This suggests up to 36 million items per year may contain errors in England. In addition, literature shows that patient satisfacti... Read More about Reliability modelling of dispensing processes in community pharmacy.

Two probabilistic life-cycle maintenance models for the deteriorating pavement (2018)
Journal Article
Cheng, Z., & Remenyte-Prescott, R. (2018). Two probabilistic life-cycle maintenance models for the deteriorating pavement. Eksploatacja i Niezawodnosc, 20(3), 394-404. https://doi.org/10.17531/ein.2018.3.7

© 2018, Polish Academy of Sciences Branch Lublin. All rights reserved. Pavement maintenance management poses a significant challenge for highway agencies in terms of pavement deterioration over time and limited financial resources to keep the road co... Read More about Two probabilistic life-cycle maintenance models for the deteriorating pavement.

A Petri Net-based life cycle cost analysis approach (2018)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2019). A Petri Net-based life cycle cost analysis approach. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 233(1), 90-102. https://doi.org/10.1177/0954409718780106

Railway infrastructure providers, such as Network Rail, who owns and manages the British railway infrastructure, can improve the performance and reduce the life cycle cost of their assets through delivering effective asset management. Having the capa... Read More about A Petri Net-based life cycle cost analysis approach.

A data mining tool for detecting and predicting abnormal behaviour of railway tunnels (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., Thompson, D., Andrews, J., Clarke, P., & Atkinson, N. (2017). A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

The UK railway network is subjected to an electrification process that aims to electrify most of the network by 2020. This upgrade will improve the capacity, reliability and efficiency of the transportation system by providing cleaner, quicker and mo... Read More about A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges (2017)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2018). Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges. Structural Health Monitoring, 17(4), https://doi.org/10.1177/1475921717721137

Railway importance in the transportation industry is increasing continuously, due to the growing demand of both passenger travel and transportation of goods. However, more than 35% of the 300,000 railway bridges across Europe are over 100-years old,... Read More about Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges.

Towards a real-time Structural Health Monitoring of railway bridges (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Towards a real-time Structural Health Monitoring of railway bridges.

More than 350,000 railway bridges are present on the European railway network, making them a key infrastructure of the whole railway network. Railway bridges are continuously exposed to changing environmental threats, such as wind, floods and traffic... Read More about Towards a real-time Structural Health Monitoring of railway bridges.

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.

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.

Railway bridge fault detection using Bayesian belief network (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Railway bridge fault detection using Bayesian belief network.

Bridges are one of the most critical structures of the railway system. External loads may affect the bridge health state, and consequently their safety, availability and reliability can be improved by monitoring their condition and planning maintenan... Read More about Railway bridge fault detection using Bayesian belief network.

Quantitative risk prognostics framework based on Petri Net and Bow-Tie models (2017)
Journal Article
Vileiniskis, M., & Remenyte-Prescott, R. (2017). Quantitative risk prognostics framework based on Petri Net and Bow-Tie models. Reliability Engineering and System Safety, 165, 62-73. https://doi.org/10.1016/j.ress.2017.03.026

A simulation framework based on the Petri Net model is proposed in this paper used for performing quantitative risk prognosis through extending the Bow-Tie model. A Petri Net model is built to include features, specific to assets, such as the conditi... Read More about Quantitative risk prognostics framework based on Petri Net and Bow-Tie models.

A modelling approach for railway overhead line equipment asset management (2017)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2017). A modelling approach for railway overhead line equipment asset management. Reliability Engineering and System Safety, 168, 326-337. https://doi.org/10.1016/j.ress.2017.02.012

© 2017 Elsevier Ltd The Overhead Line Equipment (OLE) is a critical sub-system of the 25 kV AC overhead railway electrification system. If OLE asset management strategies can be evaluated using a whole lifecycle cost analysis that considers degradati... Read More about A modelling approach for railway overhead line equipment asset management.

Effect of venepuncture process design on efficiency and failure rates: a simulation model study for secondary care (2016)
Journal Article
Reed, S., Remenyte-Prescott, R., & Rees, B. (2017). Effect of venepuncture process design on efficiency and failure rates: a simulation model study for secondary care. International Journal of Nursing Studies, 68, https://doi.org/10.1016/j.ijnurstu.2016.12.010

Background: Healthcare aims to deliver good patient outcomes. For many clinical procedures there are multiple alternative task sequences that can be performed. These deviations can influence procedure reliability, efficiency of usage of hospital reso... Read More about Effect of venepuncture process design on efficiency and failure rates: a simulation model study for secondary care.

Bayesian belief networks for fault detection and diagnostics of a three-phase separator (2016)
Conference Proceeding
Vileiniskis, M., Remenyte-Prescott, R., Rama, D., & Andrews, J. D. (2016). Bayesian belief networks for fault detection and diagnostics of a three-phase separator.

A three-phase separator (TPS) is one of the key components of offshore oil processing facili-ties. Oil is separated from gas, water and solid impurities by the TPS before it can be further processed. Fail-ures of the TPS can lead to unplanned shutdow... Read More about Bayesian belief networks for fault detection and diagnostics of a three-phase separator.