Leonardo LEONI

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leonardo.leoni(AT)unifi.it

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Viale Morgagni 40-44 (stanza 343)

Leonardo LEONI

Curriculum

Leonardo Leoni ha conseguito la Laurea Magistrale in Ingegneria Meccanica (Curriculum Gestionale-Produttivo) presso l'Università degli Studi di Firenze nel febbraio 2020 con la votazione di 110/110 e lode. A settembre dello stesso anno ha ottenuto l'abilitazione alla professione di ingegnere industriale.

A novembre 2020 inizia il dottorato di ricerca in Smart Industry, corso congiunto tra l'Università di Pisa, l'Università di Firenze e l'Università di Siena, discutendo la tesi nel febbraio 2024.

Da dicembre 2023 è titolare di un assegno di ricerca presso il Dipartimento di Ingegneria Industriale (DIEF).

Le principali aree di ricerca riguardano: supply chain management, logistica, operations managment, analisi di affidabilità e di rischio, pianificazione e ottimizzazione delle attività manutentive.

Leonardo LEONI

Note

Si ricorda agli studenti di utilizzare nelle conmunicazioni sempre l'account istituzionale nome.cognome@stud.unifi.it o nome.cognome@edu.unifi.it

Leonardo LEONI

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

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Tesi di Dottorato

Collina, Giulia; Cantini, Alessandra; Leoni, Leonardo; Ferraro, Saverio; De Carlo, Filippo; Bucelli, Marta; Paltrinieri, Nicola (2024). Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches. In: IFAC Workshop on Advanced Maintenance Engineering, Services and Technology (AMEST), Elsevier, vol. 58, pp. 109-114. DOI

Leoni, Leonardo; Ferraro, Saverio; Cantini, Alessandra; Rinaldi, Rinaldo; De Carlo, Filippo (2024). MaMoReS: A Robust Tool for Evaluating Supply Chain Resilience Through Systematic Literature and Network Analysis. APPLIED SCIENCES, vol. 14, pp. 1-25, ISSN:2076-3417 DOI

Ferraro S.; Baffa F.; Cantini A.; Leoni L.; De Carlo F.; Campatelli G. (2024). Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component. JOURNAL OF CLEANER PRODUCTION, vol. 458, pp. 0-0, ISSN:0959-6526 DOI Accesso ONLINE all'editore

Ferraro S.; Cantini A.; Leoni L.; De Carlo F. (2024). Science Mapping Analysis for the Development of a Remanufacturing Readiness Model. In: 7th International Workshop on Autonomous Remanufacturing, IWAR 2023, Springer Nature, pp. 421-433, ISBN:9783031526480 DOI

Leoni, Leonardo; BahooToroody, Ahmad; Abaei, Mohammad Mahdi; Cantini, Alessandra; BahooToroody, Farshad; De Carlo, Filippo (2024). Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution. SAFETY SCIENCE, vol. 170, pp. 1-25, ISSN:0925-7535 DOI Accesso ONLINE all'editore

Rapaccini Mario; Cadonna Loew Veronica; Leoni Leonardo; De Carlo Filippo (2023). Application of machine learning techniques for cost estimation of engineer to order products. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, pp. 1-23, ISSN:0020-7543 DOI Accesso ONLINE all'editore

Nakhal A. A.J.; Patriarca R.; De Carlo F.; Leoni L. (2023). A System-Theoretic Fuzzy Analysis (STheFA) for systemic safety assessment. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, vol. 177, pp. 1181-1196, ISSN:0957-5820 DOI

Leoni L.; De Carlo F. (2023). Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, vol. 83, pp. 0-0, ISSN:0950-4230 DOI Accesso ONLINE all'editore

Ferraro, Saverio; Leoni, Leonardo; Cantini, Alessandra; De Carlo, Filippo (2023). Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics. APPLIED SCIENCES, vol. 13, pp. 1-39, ISSN:2076-3417 DOI

Ferraro, Saverio; Cantini, Alessandra; Leoni, Leonardo; De Carlo, Filippo (2023). Sustainable Logistics 4.0: A Study on Selecting the Best Technology for Internal Material Handling. SUSTAINABILITY, vol. 15, pp. 1-22, ISSN:2071-1050 DOI

Ferraro S.; Cantini A.; Leoni L.; De Carlo F. (2023). Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation. INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, vol. 15, pp. 1-13, ISSN:1847-9790 DOI

Ferraro S.; De Carlo F.; Cantini A.; Leoni L. (2023). Assessing Green Logistics Processes: proposal of a Three-Dimensional Maturity Model. In: 28th Summer School Francesco Turco, 2023, Roberto Revetria, pp. 0-0.

Cantini A.; Ferraro S.; Leoni L.; Tucci M. (2023). A mathematical model for choosing between centralization and decentralization in distribution networks for perishable products. In: 28th Summer School Francesco Turco, 2023, Roberto Revetria, pp. 0-0.

Leoni L.; Cantini A.; De Carlo F.; Tucci M. (2023). Reducing energy consumption in industrial plants: An Integrated Multi- Criteria Decision-Making Framework with Similarity Aggregation Method. In: 28th Summer School Francesco Turco, Roberto Revetria, pp. 0-0.

Leoni L.; De Carlo F.; Tucci M. (2023). Developing a framework for generating production-dependent failure rate through discrete-event simulation. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, vol. 266, pp. 109034-109050, ISSN:0925-5273 DOI Accesso ONLINE all'editore

Leoni L.; De Carlo F.; Abaei M.M.; BahooToroody A.; Tucci M. (2023). Failure diagnosis of a compressor subjected to surge events: A data-driven framework. RELIABILITY ENGINEERING & SYSTEM SAFETY, vol. 233, pp. 109107-109119, ISSN:0951-8320 DOI Accesso ONLINE all'editore

Cantini, Alessandra; Leoni, Leonardo; Ferraro, Saverio; De Carlo, Filippo; Martini, Chiara; Martini, Fabrizio; Salvio, Marcello (2022). Technological Energy Efficiency Improvements in Glass-Production Industries and Their Future Perspectives in Italy. PROCESSES, vol. 10, pp. 2653-2688, ISSN:2227-9717 DOI

L. Leoni, A. Cantini, F. De Carlo, M. Tucci (2022). Integration of Empirical Mode Decomposition and Machine Learning for operating condition classification: a proposal. In: 27th Summer School "Francesco Turco", Sanremo (IM), 7-9 September 2022, Roberto Revetria, pp. 1-9.

Leoni L.; De Carlo F.; Abaei M.M.; BahooToroody A. (2022). A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing. COMPUTERS IN INDUSTRY, vol. 139, pp. 103645-103657, ISSN:0166-3615 DOI Accesso ONLINE all'editore

S. Ferraro, F. De Carlo, A. Cantini, L. Leoni (2022). Green Logistics for Heavy Equipment: a bibliometric analysis. In: 27th Summer School "Francesco Turco", Roberto Revetria, pp. 1-10.

Khalaj, Saeed; BahooToroody, Farshad; Leoni, Leonardo; De Carlo, Filippo; Di Bona, Gianpaolo; Forcina, Antonio (2022). Predicting Extreme Dynamic Response of Offshore Jacket Platform Subject to Harsh Environment. MATHEMATICAL PROBLEMS IN ENGINEERING, vol. 2022, pp. 1-15, ISSN:1563-5147 DOI Accesso ONLINE all'editore

A. Cantini, Ferraro S, Leoni L., Tucci M. (2022). Inventory centralization and decentralization in spare parts supply chain configuration: a bibliometric review. In: 27th Summer School "Francesco Turco", Riviera dei Fiori, Liguria, Roberto Revetria, pp. 1-7.

Leoni L.; BahooToroody A.; Abaei M.M.; De Carlo F.; Paltrinieri N.; Sgarbossa F. (2021). On hierarchical bayesian based predictive maintenance of autonomous natural gas regulating operations. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, vol. 147, pp. 115-124, ISSN:0957-5820 DOI Accesso ONLINE all'editore

Leoni L.; Cantini A.; De Carlo F.; Tucci M. (2021). On reliability estimation approaches for a Weibull failure modelling. In: 26th Summer School Francesco Turco, 2021, 2021, AIDI - Italian Association of Industrial Operations Professors, pp. 1-7.

Leoni L.; Bahootoroody F.; Khalaj S.; De Carlo F.; Bahootoroody A.; Abaei M.M. (2021). Bayesian estimation for reliability engineering: Addressing the influence of prior choice. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 18, pp. 3349-3364, ISSN:1661-7827 DOI Accesso ONLINE all'editore

Leoni, Leonardo; De Carlo, Filippo; Paltrinieri, Nicola; Sgarbossa, Fabio; BahooToroody, Ahmad (2021). On risk-based maintenance: A comprehensive review of three approaches to track the impact of consequence modelling for predicting maintenance actions. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, vol. 72, pp. 1-16, ISSN:0950-4230 DOI Accesso ONLINE all'editore

BahooToroody, Farshad; Khalaj, Saeed; Leoni, Leonardo; De Carlo, Filippo; Di Bona, Gianpaolo; Forcina, Antonio (2021). Reliability Estimation of Reinforced Slopes to Prioritize Maintenance Actions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 18, pp. 373-384, ISSN:1660-4601 DOI Accesso ONLINE all'editore

Leoni, Leonardo; Cantini, Alessandra; BahooToroody, Farshad; Khalaj, Saeed; De Carlo, Filippo; Abaei, Mohammad Mahdi; BahooToroody, Ahmad (2021). Reliability Estimation under Scarcity of Data: A Comparison of Three Approaches. MATHEMATICAL PROBLEMS IN ENGINEERING, vol. 2021, pp. 1-15, ISSN:1563-5147 DOI Accesso ONLINE all'editore

Leoni L.; Cantini A.; De Carlo F.; Salvio M.; Martini C.; Toro C.; Martini F. (2021). Energy-saving technology opportunities and investments of the italian foundry industry. ENERGIES, vol. 14, pp. 8470-8497, ISSN:1996-1073 DOI Accesso ONLINE all'editore

Cantini A.; De Carlo F.; Leoni L.; Tucci M. (2021). A novel approach for spare parts dynamic deployment. In: 26th Summer School Francesco Turco, 2021, 2021, AIDI - Italian Association of Industrial Operations Professors, pp. 1-7.

Cantini, Alessandra; Leoni, Leonardo; De Carlo, Filippo; Salvio, Marcello; Martini, Chiara; Martini, Fabrizio (2021). Technological Energy Efficiency Improvements in Cement Industries. SUSTAINABILITY, vol. 13, pp. 3810-3840, ISSN:2071-1050 DOI Accesso ONLINE all'editore

Leonardo Leoni, Filippo De Carlo, Fabio Sgarbossa, Nicola Paltrinieri (2020). Comparison of risk-based maintenance approaches applied to a natural gas regulating and metering station. CHEMICAL ENGINEERING TRANSACTIONS, vol. 83, 2020, pp. 101-106, ISSN:2283-9216 DOI

Leoni, Leonardo; Bahoo, Ahmad; De Carlo, Filippo; Paltrinieri, Nicola (2019). Developing a risk-based maintenance model for a Natural Gas Regulating and Metering Station using Bayesian Network. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, pp. 1-10, ISSN:0950-4230 DOI