All Outputs (6)

Analysing the effect of food supply chain traceability on product waste (2021)
Conference Proceeding
Glew, M. R., Perez Hernandez, M., & McFarlane, D. (2021). Analysing the effect of food supply chain traceability on product waste. In M. Fakhimi, T. Boness, & D. Robertson (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21) (145-154)

This paper presents initial results from an agent-based simulation study into the impact of supply chain traceability information sharing on food waste reduction in the fresh food supply chain. Based on data collected during a 2019 study of a multi-t... Read More about Analysing the effect of food supply chain traceability on product waste.

Control and optimization of multi-agent systems and complex networks for systems engineering (2021)
Journal Article
Herrera, M., Perez Hernandez, M., Kumar Parlikad, A., & Izquierdo, J. (2021). Control and optimization of multi-agent systems and complex networks for systems engineering. Processes, 9(11), Article 2070

Comparison of agent deployment strategies for collaborative prognosis (2021)
Conference Proceeding
Dhada, M., Hernandez, M. P., Salvador Palau, A., & Parlikad, A. (2021). Comparison of agent deployment strategies for collaborative prognosis. In 2021 IEEE International Conference on Prognostics and Health Management (ICPHM)https://doi.org/10.1109/ICPHM51084.2021.9486628

Collaborative prognosis is a technique that enables the industrial assets to learn from similar other assets in a fleet, and improve their data-driven prognosis models. When collaborative prognosis is implemented in a computationally distributed fram... Read More about Comparison of agent deployment strategies for collaborative prognosis.

A comprehensive framework from real-time prognostics to maintenance decisions (2021)
Journal Article
Jain, A., Dhada, M., Hernandez, M. P., Herrera, M., & Parlikad, A. (2021). A comprehensive framework from real-time prognostics to maintenance decisions. IET Collaborative Intelligent Manufacturing, 3(2), 175-183. https://doi.org/10.1049/cim2.12021

Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory-based prognostics module employing... Read More about A comprehensive framework from real-time prognostics to maintenance decisions.

Relaxing platform dependencies in agent-based control systems (2021)
Journal Article
Hernandez, M. P., Mcfarlane, D., Parlikad, A., Herrera, M., & Jain, A. (2021). Relaxing platform dependencies in agent-based control systems. IEEE Access, 9, 30511-30527. https://doi.org/10.1109/ACCESS.2021.3059273

Agent-based systems have been widely used to develop industrial control systems when they are required to address issues such as flexibility, scalability and portability. The most common approach to develop such control systems is with agents embedde... Read More about Relaxing platform dependencies in agent-based control systems.

Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks (2021)
Journal Article
Herrera, M., Proselkov, Y., Perez-Hernandez, M., & Parlikad, A. K. (2021). Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks. IEEE Access, 9, 8997-9011. https://doi.org/10.1109/ACCESS.2021.3050014

This article proposes a framework to analyse traffic-data processes on a long-haul backbone infrastructure network providing internet services at a national level. This type of network requires low latency and fast speed, which means there is a large... Read More about Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks.