Sfoglia per Rivista
An adapted water wave optimization algorithm for routing order pickers in manual warehouses
2016 Bottani, Eleonora; Rinaldi, Marta; Montanari, Roberto; Murino, Teresa; Centobelli, Piera
Advancing Hybrid Production Systems through Theoretical Frameworks and Stochastic Models for Performance Estimation
2024 De Martino, M.; Marchesano, M. G.; Grassi, A.
Assessing maintenance planning and scheduling using Deep Reinforcement Learning
2023 Marchesano, M. G.; Guizzi, G.; Converso, G.; Santillo, L. C.
Bilateral information asymmetry in a Supply Chain: a review and a coordination mechanism analysis
2023 Salatiello, E.; Grassi, A.; Guizzi, G.; Vespoli, S.
Comparative analysis of Deep Reinforcement Learning configurations in Flow Shop for enhanced Maintenance Management
2024 Marchesano, M. G.; Guizzi, G.; Santillo, L. C.
Considering greenhouse gas emissions in a single vendormultiple buyer coordinated supply chain
2017 Castellano, D.; Gallo, M.; Santillo, L. C.
Data Analisys approach to support Surgical Schedule Development: the case of A.O.R.N. “Antonio Cardarelli” of Naples (Italy)
2024 Converso, G.; D'Amore, A.; Mannelli, M. P.; Fidecicchi, A.
A data-driven prognostic approach for the battery state-of-charge assessment with regard to machine workload
2019 Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L. C.
A decision framework for upgrading ERP systems
2016 Zeppetella, Luca; Gebennini, Elisa; Grassi, Andrea; Rimini, Bianca
Deep Reinforcement Learning-Based Controller for Autonomous Guided Vehicles (AGVs) in a Multi- Department Production Plant
2023 De Martino, M.; Marchesano, M. G.; Guizzi, G.; Salatiello, E.
Dynamic Optimization of Pickup and Delivery Problems in Industry 4.0: A Vickrey Auction-Based and Multi-Agent Simulation Approach
2023 Abate, R.; Vespoli, S.; Guizzi, G.; Marchesano, M. G.
A flow chart analysis of the Smart Products End of Life
2022 Popolo, V.; Vespoli, S.; Grassi, A.; Converso, G.
A framework for real-time stress evaluation in Industry 4.0 manual assembly stations
2019 Capuozzo, A.; Gallo, M.; Grassi, A.; Murino, T.; Popolo, V.; Tedesco, A.
Impact of Patient and Management Variables on Operating Room Times: An Analysis through the Application of Machine Learning Techniques
2024 Scala, A.; Trunfio, T. A.; D'Amore, A.; Mannelli, M. P.; Fidecicchi, A.; Converso, G.
Intelligent Mediator for Supply Chain Coordination: Overcoming Information Asymmetry
2024 Salatiello, E.; Grassi, A.; Vespoli, S.
Inventory Level and Lead Time Negotiation for Dynamic Supply Chain Coordination under Information Asymmetry
2025 Papa, F.; Salatiello, E.; Grassi, A.; Santillo, L. C.; Vespoli, S.
A manpower allocation problem with layout considerations
2014 Zeppetella, Luca; Gebennini, Elisa; Grassi, Andrea; Rimini, Bianca
A methodology for estimating the operating costs of production lines
2017 Gebennini, E.; Grassi, A.; Rimini, B.
On Reinforcement Learning in production control and its potentiality in manufacturing
2021 Marchesano, M. G.; Guizzi, G.; Castellano, D.; Di Nardo, M.
On the advances of the Industry 4.0 Manufacturing Planning and Control system architectures
2021 Vespoli, S.; Converso, G.; Grassi, A.; Santillo, L. C.
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| An adapted water wave optimization algorithm for routing order pickers in manual warehouses | 4.1 Articoli in Atti di convegno | 2016 | Bottani, Eleonora; Rinaldi, Marta; Montanari, Roberto; Murino, Teresa; Centobelli, Piera | |
| Advancing Hybrid Production Systems through Theoretical Frameworks and Stochastic Models for Performance Estimation | 4.1 Articoli in Atti di convegno | 2024 | De Martino, M.; Marchesano, M. G.; Grassi, A. | |
| Assessing maintenance planning and scheduling using Deep Reinforcement Learning | 4.1 Articoli in Atti di convegno | 2023 | Marchesano, M. G.; Guizzi, G.; Converso, G.; Santillo, L. C. | |
| Bilateral information asymmetry in a Supply Chain: a review and a coordination mechanism analysis | 4.1 Articoli in Atti di convegno | 2023 | Salatiello, E.; Grassi, A.; Guizzi, G.; Vespoli, S. | |
| Comparative analysis of Deep Reinforcement Learning configurations in Flow Shop for enhanced Maintenance Management | 4.1 Articoli in Atti di convegno | 2024 | Marchesano, M. G.; Guizzi, G.; Santillo, L. C. | |
| Considering greenhouse gas emissions in a single vendormultiple buyer coordinated supply chain | 4.1 Articoli in Atti di convegno | 2017 | Castellano, D.; Gallo, M.; Santillo, L. C. | |
| Data Analisys approach to support Surgical Schedule Development: the case of A.O.R.N. “Antonio Cardarelli” of Naples (Italy) | 4.1 Articoli in Atti di convegno | 2024 | Converso, G.; D'Amore, A.; Mannelli, M. P.; Fidecicchi, A. | |
| A data-driven prognostic approach for the battery state-of-charge assessment with regard to machine workload | 1.1 Articolo in rivista | 2019 | Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L. C. | |
| A decision framework for upgrading ERP systems | 4.1 Articoli in Atti di convegno | 2016 | Zeppetella, Luca; Gebennini, Elisa; Grassi, Andrea; Rimini, Bianca | |
| Deep Reinforcement Learning-Based Controller for Autonomous Guided Vehicles (AGVs) in a Multi- Department Production Plant | 4.1 Articoli in Atti di convegno | 2023 | De Martino, M.; Marchesano, M. G.; Guizzi, G.; Salatiello, E. | |
| Dynamic Optimization of Pickup and Delivery Problems in Industry 4.0: A Vickrey Auction-Based and Multi-Agent Simulation Approach | 4.1 Articoli in Atti di convegno | 2023 | Abate, R.; Vespoli, S.; Guizzi, G.; Marchesano, M. G. | |
| A flow chart analysis of the Smart Products End of Life | 4.1 Articoli in Atti di convegno | 2022 | Popolo, V.; Vespoli, S.; Grassi, A.; Converso, G. | |
| A framework for real-time stress evaluation in Industry 4.0 manual assembly stations | 4.1 Articoli in Atti di convegno | 2019 | Capuozzo, A.; Gallo, M.; Grassi, A.; Murino, T.; Popolo, V.; Tedesco, A. | |
| Impact of Patient and Management Variables on Operating Room Times: An Analysis through the Application of Machine Learning Techniques | 4.1 Articoli in Atti di convegno | 2024 | Scala, A.; Trunfio, T. A.; D'Amore, A.; Mannelli, M. P.; Fidecicchi, A.; Converso, G. | |
| Intelligent Mediator for Supply Chain Coordination: Overcoming Information Asymmetry | 4.1 Articoli in Atti di convegno | 2024 | Salatiello, E.; Grassi, A.; Vespoli, S. | |
| Inventory Level and Lead Time Negotiation for Dynamic Supply Chain Coordination under Information Asymmetry | 4.1 Articoli in Atti di convegno | 2025 | Papa, F.; Salatiello, E.; Grassi, A.; Santillo, L. C.; Vespoli, S. | |
| A manpower allocation problem with layout considerations | 4.1 Articoli in Atti di convegno | 2014 | Zeppetella, Luca; Gebennini, Elisa; Grassi, Andrea; Rimini, Bianca | |
| A methodology for estimating the operating costs of production lines | 4.1 Articoli in Atti di convegno | 2017 | Gebennini, E.; Grassi, A.; Rimini, B. | |
| On Reinforcement Learning in production control and its potentiality in manufacturing | 4.1 Articoli in Atti di convegno | 2021 | Marchesano, M. G.; Guizzi, G.; Castellano, D.; Di Nardo, M. | |
| On the advances of the Industry 4.0 Manufacturing Planning and Control system architectures | 4.1 Articoli in Atti di convegno | 2021 | Vespoli, S.; Converso, G.; Grassi, A.; Santillo, L. C. |
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