Sara Antomarioni

Università Politecnica delle Marche, Italy
PhD
Department of Industrial Engineering and Mathematical Science

Scopus ID:  57200248883
Publons: link

Google Scholar profile: link
ORCID ID:  https://orcid.org/0000-0001-8584-7814

TOP-5 publications:

  1. Antomarioni, S., Bevilacqua, M., Potena, D., Diamantini, C. (2019). Defining a data-driven maintenance policy: an application to an oil refinery plant. International Journal of Quality & Reliability Management, 36 (1), 77–97. doi: https://doi.org/10.1108/ijqrm-01-2018-0012
  2. Ciarapica, F., Bevilacqua, M., Antomarioni, S. (2019). An approach based on association rules and social network analysis for managing environmental risk: A case study from a process industry. Process Safety and Environmental Protection, 128, 50–64. doi: https://doi.org/10.1016/j.psep.2019.05.037
  3. Antomarioni, S., Pisacane, O., Potena, D., Bevilacqua, M., Ciarapica, F. E., Diamantini, C. (2019). A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery. The International Journal of Advanced Manufacturing Technology, 105 (9), 3661–3675. doi: https://doi.org/10.1007/s00170-019-03822-y
  4. Crespo Márquez, A., de la Fuente Carmona, A., Antomarioni, S. (2019). A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency. Energies, 12 (18), doi: https://doi.org/10.3390/en12183454
  5. Bevilacqua, M., Ciarapica, F. E., Antomarioni, S. (2019). Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach. Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management. doi: https://doi.org/10.24425/MPER.2019.128241

NEW-5 publications:

  1. Marcucci, G., Antomarioni, S., Ciarapica, F. E., Bevilacqua, M. (2021). The impact of Operations and IT-related Industry 4.0 key technologies on organizational resilience. Production Planning & Control, 1–15. doi: https://doi.org/10.1080/09537287.2021.1874702
  2. Antomarioni, S., Bevilacqua, M., Ciarapica, F. E. (2020). An Association Rule-Based Approach for Storing Items in an AS/RS. In Sustainable Design and Manufacturing 2020. Springer Singapore, 61–70. doi: https://doi.org/10.1007/978-981-15-8131-1_6
  3. Pisacane, O., Potena, D., Antomarioni, S., Bevilacqua, M., Emanuele Ciarapica, F., Diamantini, C. (2020). Data-driven predictive maintenance policy based on multi-objective optimization approaches for the component repairing problem. Engineering Optimization, 1–20. doi: https://doi.org/10.1080/0305215x.2020.1823381
  4. Antomarioni, S., Pisacane, O., Potena, D., Bevilacqua, M., Ciarapica, F. E., Diamantini, C. (2019). A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery. The International Journal of Advanced Manufacturing Technology, 105 (9), 3661–3675. doi: https://doi.org/10.1007/s00170-019-03822-y
  5. De La Fuente Carmona, A., Crespo Marquez, A., Antomarioni, S., Bevilacqua, M. (2019, October). Decision support systems in asset control: an approach based on Artificial Neural Network and Association Rule Mining. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). doi: https://doi.org/10.1109/smc.2019.8914578