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Multi-agent learning of asset maintenance plans through localised subnetworks (2023)
Journal Article
Pérez Hernández, M., Puchkova, A., & Parlikad, A. K. (2024). Multi-agent learning of asset maintenance plans through localised subnetworks. Engineering Applications of Artificial Intelligence, 127(Part B), Article 107362. https://doi.org/10.1016/j.engappai.2023.107362

Maintenance planning of networked multi-asset systems is a complex problem due to the inherent individual and collective asset constraints and dynamics as well as the size of the system and interdependencies among assets. Although multi-asset systems... Read More about Multi-agent learning of asset maintenance plans through localised subnetworks.

An agent-based approach for energy-efficient sensor networks in logistics (2023)
Journal Article
Kaiser, J., Hernández, M. P., Kaupe, V., Kurrek, P., & McFarlane, D. (2024). An agent-based approach for energy-efficient sensor networks in logistics. Engineering Applications of Artificial Intelligence, 127(Part A), Article 107198. https://doi.org/10.1016/j.engappai.2023.107198

As part of the fourth industrial revolution, logistics processes are augmented with connected information systems to improve their reliability and sustainability. Above all, customers can analyse process data obtained from the networked logistics ope... Read More about An agent-based approach for energy-efficient sensor networks in logistics.

Maintenance strategies for networked assets* (2022)
Conference Proceeding
Perez Hernandez, M., Puchkova, A., & Kumar Parlikad, A. K. (2022). Maintenance strategies for networked assets*. . https://doi.org/10.1016/j.ifacol.2022.09.199

The purpose of this paper is to analyse the effect of different maintenance strategies for a network of assets whose condition deteriorates progressively along the time. We propose both an agent-based model that considers the dynamics of data traffic... Read More about Maintenance strategies for networked assets*.

The value of information for dynamic decentralised criticality computation (2022)
Conference Proceeding
Proselkov, Y., Herrera, M., Hernandez, M. P., Kumar Parlikad, A. K., & Brintrup, A. (2022). The value of information for dynamic decentralised criticality computation. In IFAC-PapersOnLine (408-413). https://doi.org/10.1016/j.ifacol.2022.04.228

Smart manufacturing uses advanced data-driven solutions to improve performance and operations resilience requiring large amounts of data delivered quickly, enabled by telecom networks and network elements such as routers or switches. Disruptions can... Read More about The value of information for dynamic decentralised criticality computation.

Network maintenance planning via multi-agent reinforcement learning (2022)
Conference Proceeding
Thomas, J., Pérez Hernández, M., Parlikad, A. K., & Piechocki, R. (2022). Network maintenance planning via multi-agent reinforcement learning. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2289-2295). https://doi.org/10.1109/SMC52423.2021.9659150

Within this work, the challenge of developing maintenance planning solutions for networked assets is considered. This is challenging due to the very nature of these systems which are often heterogeneous, distributed and have complex co-dependencies b... Read More about Network maintenance planning via multi-agent reinforcement learning.

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.

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.

Comparing agent-based control architectures for next generation telecommunication network infrastructures (2020)
Journal Article
Perez Hernandez, M., McFarlane, D., Herrera, M., Jain, A. K., & Parlikad, A. K. (2020). Comparing agent-based control architectures for next generation telecommunication network infrastructures. IFAC-PapersOnLine, 53(2), 11062-11067. https://doi.org/10.1016/j.ifacol.2020.12.238

Multi-agent systems have been an effective choice for designing control systems that are flexible and agile. However, few attention has been given to the evaluation of the architectures of such systems. This becomes critical with the emerging require... Read More about Comparing agent-based control architectures for next generation telecommunication network infrastructures.

Secure and communications-efficient collaborative prognosis (2020)
Journal Article
Dhada, M., Jain, A., Herrera, M., Hernandez, M. P., & Parlikad, A. (2020). Secure and communications-efficient collaborative prognosis. IET Collaborative Intelligent Manufacturing, 2(4), 164-173. https://doi.org/10.1049/iet-cim.2020.0035

Collaborative prognosis is a technique that is used to enable assets to improve their ability to predict failures by learning from the failures of similar other assets. This is typically made possible by enabling the assets to communicate with each o... Read More about Secure and communications-efficient collaborative prognosis.

An application of HRI in low-cost digital manufacturing (2020)
Conference Proceeding
De Silva, L., Hawkridge, G., Terrazas, G., Perez Hernandez, M., Thorne, A., McFarlane, D., & Tlegenov, Y. (2020). An application of HRI in low-cost digital manufacturing. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (71). https://doi.org/10.1145/3371382.3378204

Digital Manufacturing (DM) broadly refers to applying digital information to enhance manufacturing processes, supply chains, products and services. In past work we proposed a low-cost DM architecture, supporting flexible integration of legacy robots.... Read More about An application of HRI in low-cost digital manufacturing.

Self-generated intent-based system (2020)
Conference Proceeding
Behazaf, M., Perez Hernandez, M., Bardwell, L., Davies, E., Broadbent, M., King, D., & Hutchison, D. (2020). Self-generated intent-based system. In 2019 10th International Conference on Networks of the Future (NoF) (138-140). https://doi.org/10.1109/NoF47743.2019.9015045

We propose an intent-based system where, on top of the user intentions, the system itself generates suitable Quality of Service and resilience parameters and may augment the intent characteristics if it detects any room for improvement. We demonstrat... Read More about Self-generated intent-based system.

Tying together solutions for digital manufacturing: Assessment of connectivity technologies & approaches (2019)
Conference Proceeding
Hawkridge, G., Hernandez, M. P., De Silva, L., Terrazas, G., Tlegenov, Y., McFarlane, D., & Thorne, A. (2019). Tying together solutions for digital manufacturing: Assessment of connectivity technologies & approaches. In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (1383-1387). https://doi.org/10.1109/ETFA.2019.8869411

This paper concerns the development of low-cost solutions to address challenges in digital manufacturing (DM). Service Oriented Architectures (SOAs) are a promising approach for addressing the requirements of a low-cost DM architecture. Interaction b... Read More about Tying together solutions for digital manufacturing: Assessment of connectivity technologies & approaches.

FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments (2019)
Conference Proceeding
Perez Hernandez, M., Alturki, B., & Reiff-Marganiec, S. (2019). FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments. In 2018 IEEE International Conference on Internet of Things (iThings); IEEE Green Computing and Communications (GreenCom); IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (66-73). https://doi.org/10.1109/Cybermatics_2018.2018.00045

The Internet of Things aims to digitize everyday physical objects by connecting them to the internet. As a result, cyber-physical environments of multiple sizes emerge, imposing new requirements on applications and software systems in regards support... Read More about FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments.

Towards a software framework for the autonomous Internet of Things (2016)
Conference Proceeding
Hernandez, M. E., Perez Hernandez, M., & Reiff-Marganiec, S. (2016). Towards a software framework for the autonomous Internet of Things. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud) (220-227). https://doi.org/10.1109/FiCloud.2016.39

IoT promises a world where Smart Objects (SO) are able to autonomously communicate and work together to make the (human) user's life easier. Popular approaches for development of IoT applications take for granted that on-object resources are evenly c... Read More about Towards a software framework for the autonomous Internet of Things.

Autonomous and self controlling smart objects for the future internet (2015)
Conference Proceeding
Perez Hernandez, M., & Reiff-Marganiec, S. (2015). Autonomous and self controlling smart objects for the future internet. In 2015 3rd International Conference on Future Internet of Things and Cloud (301-308). https://doi.org/10.1109/FiCloud.2015.89

Development of IoT applications relies heavily on middleware architectures. Multiple solutions have been proposed using service and agent paradigms, which consequently impose a specific application development model. We observe a trend towards a data... Read More about Autonomous and self controlling smart objects for the future internet.

Classifying smart objects using capabilities (2015)
Conference Proceeding
Perez Hernandez, M., & Reiff-Marganiec, S. (2015). Classifying smart objects using capabilities. In 2014 International Conference on Smart Computing (309-316). https://doi.org/10.1109/SMARTCOMP.2014.7043873

The Internet Of Things has emerged, providing an umbrella for the increasing number of heterogeneous Smart Objects that are becoming part of our daily activities. In this scenario, classification approaches are useful to understand differences and id... Read More about Classifying smart objects using capabilities.