All Outputs (61)

Modelling Reliability and Efficiency of English Community Pharmacy Processes (2020)
Conference Proceeding

© 2020 IEEE. The research reported in this paper describes a Coloured Petri Net (CPN) method for modelling and analysing reliability and efficiency of the dispensing process in English community pharmacies. The results of CPN simulations are used wit... Read More about Modelling Reliability and Efficiency of English Community Pharmacy Processes.

Ant colony optimisation for community pharmacy dispensing process based on infield observations (2019)
Conference Proceeding

he 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 f... Read More about Ant colony optimisation for community pharmacy dispensing process based on infield observations.

Application of Network-level Traffic Flow Model to Road Maintenance in China (2019)
Journal Article

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

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

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

© 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

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

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)
Book Chapter

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

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

© 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

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

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

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

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 sensor selection method for fault diagnostics (2017)
Book Chapter

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

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.

Railway bridge fault detection using Bayesian belief network (2017)
Conference Proceeding

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

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

© 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.