A review of Pareto pruning methods for multi-objective optimization

S Petchrompo, DW Coit, A Brintrup… - Computers & Industrial …, 2022 - Elsevier
Previous researchers have made impressive strides in develo** algorithms and solution
methodologies to address multi-objective optimization (MOO) problems in industrial …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning

YK Teoh, SS Gill, AK Parlikad - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The assets in Industry 4.0 are categorized into physical, virtual, and human. The innovation
and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags …

[HTML][HTML] Strategic aspects of asset management: An overview of current research

E Gavrikova, I Volkova, Y Burda - Sustainability, 2020 - mdpi.com
Major shifts in the competitive environment encouraged a recent growth in the number of
academic articles devoted to strategic aspects of asset management. Organizations start to …

[HTML][HTML] Pruning Pareto optimal solutions for multi-objective portfolio asset management

S Petchrompo, A Wannakrairot, AK Parlikad - European Journal of …, 2022 - Elsevier
Budget allocation problems in portfolio management are inherently multi-objective as they
entail different types of assets of which performance metrics are not directly comparable …

[HTML][HTML] Dynamic fleet maintenance management model applied to rolling stock

AC del Castillo, JA Marcos, AK Parlikad - Reliability Engineering & System …, 2023 - Elsevier
This paper presents a model for optimising fleet maintenance management with a particular
application to train rolling stock fleets. The proposed model produces a joint schedule for …

A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms

S Zhong, AA Pantelous, M Goh, J Zhou - Mechanical Systems and Signal …, 2019 - Elsevier
We study the preventive maintenance scheduling problem of wind farms in the offshore wind
energy sector which operates under uncertainty due to the state of the ocean and market …

[HTML][HTML] Dynamic fleet management: Integrating predictive and preventive maintenance with operation workload balance to minimise cost

AC del Castillo, AK Parlikad - Reliability Engineering & System Safety, 2024 - Elsevier
The optimization of fleet maintenance management is of utmost importance to ensure the
efficient and reliable operation of asset fleets. Traditional maintenance strategies are often …

Enhancing urban resilience evaluation systems through automated rational and consistent decision-making simulations

SMHS Rezvani, NM de Almeida, MJ Falcao… - Sustainable Cities and …, 2022 - Elsevier
Urban resilience is an increasingly important topic because of the need to protect and
optimize the value derived from the urban built environment with its constructed assets. But …

[HTML][HTML] Managing public space–A blind spot of urban planning and design

E Duivenvoorden, T Hartmann, M Brinkhuijsen… - Cities, 2021 - Elsevier
Managing public space is a big and important blind spot of urban and regional planning and
design. Important, because major transition challenges, such as climate adaptation, energy …