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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Defining a data-driven maintenance policy: an application to an oil refinery plant
Sara Antomarioni, Maurizio Bevilacqua, Domenico Potena, et al.
International Journal of Quality & Reliability Management (2018) Vol. 36, Iss. 1, pp. 77-97
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Maintenance 4.0 technologies – new opportunities for sustainability driven maintenance
Małgorzata Jasiulewicz–Kaczmarek, Stanisław Legutko, P. Kluk
Management and Production Engineering Review (2020)
Open Access | Times Cited: 94
A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency
Adolfo Crespo Márquez, Antonio de la Fuente, Sara Antomarioni
Energies (2019) Vol. 12, Iss. 18, pp. 3454-3454
Open Access | Times Cited: 44
Association rules and social network analysis for supporting failure mode effects and criticality analysis: Framework development and insights from an onshore platform
Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Safety Science (2022) Vol. 150, pp. 105711-105711
Closed Access | Times Cited: 27
Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support
Sheshadri Chatterjee, Ranjan Chaudhuri, Demetris Vrontis, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 163-183
Open Access | Times Cited: 16
A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery
Sara Antomarioni, Ornella Pisacane, Domenico Potena, et al.
The International Journal of Advanced Manufacturing Technology (2019) Vol. 105, Iss. 9, pp. 3661-3675
Closed Access | Times Cited: 29
Data Mining and Augmented Reality: An Application to the Fashion Industry
Virginia Fani, Sara Antomarioni, Romeo Bandinelli, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2317-2317
Open Access | Times Cited: 8
Maintenance in the downstream petroleum industry: A review on methodology and implementation
Ezra Wari, Weihang Zhu, Gino J. Lim
Computers & Chemical Engineering (2023) Vol. 172, pp. 108177-108177
Open Access | Times Cited: 8
Applying association rules in the maintenance and reliability of physical systems: A review
Rinaldo Conceição Paiva, Cristiano Alexandre Virgínio Cavalcante, Phuc Do
Computers & Industrial Engineering (2024) Vol. 194, pp. 110332-110332
Closed Access | Times Cited: 2
Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach
Maurizio Bevilacqua, Filippo Emanuele Ciarapica, Sara Antomarioni
Management and Production Engineering Review (2019)
Open Access | Times Cited: 22
Data-driven predictive maintenance policy based on multi-objective optimization approaches for the component repairing problem
Ornella Pisacane, Domenico Potena, Sara Antomarioni, et al.
Engineering Optimization (2020) Vol. 53, Iss. 10, pp. 1752-1771
Open Access | Times Cited: 20
An Optimization Model for Operational Planning and Turnaround Maintenance Scheduling of Oil and Gas Supply Chain
Ahmed M. Ghaithan
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7531-7531
Open Access | Times Cited: 18
Association rules extraction for the identification of functional dependencies in complex technical infrastructures
Federico Antonello, Piero Baraldi, Ahmed Shokry, et al.
Reliability Engineering & System Safety (2020) Vol. 209, pp. 107305-107305
Closed Access | Times Cited: 16
Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream
Igor G. Olaizola, Marco Quartulli, Elias Unzueta, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9164-9164
Open Access | Times Cited: 10
Fault Types and Frequencies in Predictive Maintenance 4.0 for Chilled Water System at Commercial Buildings: An Industry Survey
Malek Almobarek, Kepa Mendibil, Abdalla Alrashdan, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 1995-1995
Open Access | Times Cited: 8
A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries
James Wakiru, Liliane Pintelon, Peter Muchiri, et al.
International Journal of Quality & Reliability Management (2021) Vol. 39, Iss. 4, pp. 961-983
Open Access | Times Cited: 8
Framework Based on Machine Learning Approach for Prediction of the Remaining Useful Life: A Case Study of an Aviation Engine
Rajiv Kumar Sharma
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 3, pp. 1333-1350
Closed Access
Distributionally robust CVaR optimization for refinery integrated production-maintenance scheduling under uncertainty
Ya Liu, Jiahao Lai, Bo Chen, et al.
Computers & Chemical Engineering (2024), pp. 108949-108949
Closed Access
On the optimization of maintenance storage cost in industry a fuzzy logic application
Jean Khalil, Ashraf Labib
International Journal of Quality & Reliability Management (2021) Vol. 39, Iss. 4, pp. 1020-1039
Open Access | Times Cited: 2
Statistical process monitoring for e-waste based on beta regression and particle swarm optimization
Ângelo Márcio Oliveira Sant’Anna
International Journal of Quality & Reliability Management (2022) Vol. 39, Iss. 7, pp. 1663-1675
Closed Access | Times Cited: 1
Predictive Maintenance in Forging Industry
G. K. Arun Prasad, Chetan Panse
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022), pp. 794-800
Closed Access | Times Cited: 1
Big data-driven framework for viral churn prevention: a case study
Laura Lucantoni, Sara Antomarioni, Maurizio Bevilacqua, et al.
Management and Production Engineering Review (2020)
Open Access | Times Cited: 1
Data-Driven Approaches for Operation and Maintenance Decision on Power Plants
Herry Nugraha, Rochamukti Rizcanofana, Moch Padang Dirgantara, et al.
(2023), pp. 2663-2670
Open Access
Predictive Strategy and Technology for Operation & Maintenance Decision-Making
Dheka Bakti Krisnamurti Winarno, Rochamukti Rizcanofana, Herry Nugraha, et al.
(2023), pp. 1127-1134
Open Access
Decision support systems in asset control: an approach based on Artificial Neural Network and Association Rule Mining
Antonio de la Fuente, Adolfo Crespo Márquez, Sara Antomarioni, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2019), pp. 2596-2601
Closed Access
Asset Condition and Operations Efficiency
Adolfo Crespo Márquez
Springer series in reliability engineering (2022), pp. 133-159
Closed Access
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