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Filippo De Carlo
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2020 – today
- 2024
- [j7]Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa:
A data-driven methodology for the periodic review of spare parts supply chain configurations. Int. J. Prod. Res. 62(5): 1818-1845 (2024) - [j6]Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa:
A decision support system for configuring spare parts supply chains considering different manufacturing technologies. Int. J. Prod. Res. 62(8): 3023-3043 (2024) - 2023
- [j5]Mario Rapaccini, Veronica Loew Cadonna, Leonardo Leoni, Filippo De Carlo:
Application of machine learning techniques for cost estimation of engineer to order products. Int. J. Prod. Res. 61(20): 6978-7000 (2023) - [j4]Leonardo Leoni, Filippo De Carlo, Mohammad Mahdi Abaei, Ahmad BahooToroody, Mario Tucci:
Failure diagnosis of a compressor subjected to surge events: A data-driven framework. Reliab. Eng. Syst. Saf. 233: 109107 (2023) - 2022
- [j3]Leonardo Leoni, Filippo De Carlo, Mohammad Mahdi Abaei, Ahmad BahooToroody:
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing. Comput. Ind. 139: 103645 (2022) - [j2]Ahmad BahooToroody, Mohammad Mahdi Abaei, Osiris A. Valdez Banda, Pentti Kujala, Filippo De Carlo, Rouzbeh Abbassi:
Prognostic health management of repairable ship systems through different autonomy degree; From current condition to fully autonomous ship. Reliab. Eng. Syst. Saf. 221: 108355 (2022) - 2020
- [j1]Ahmad BahooToroody, Filippo De Carlo, Nicola Paltrinieri, Mario Tucci, Pieter H. A. J. M. van Gelder:
Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation. Reliab. Eng. Syst. Saf. 201: 106966 (2020)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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