Sfoglia per Autore
Operational space efficiency (OpSE): a structured metric to evaluate the efficient use of space in industrial workstations
2023 Braglia, M.; Gallo, M.; Marrazzini, L.; Santillo, L. C.
Stochastic joint replenishment problem under a fill rate constraint with controllable lead times and shared cost allocation
2023 Castellano, D.; Santillo, L. C.
Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning
2023 Marchesano, M. G.; Tortora, E.; Guizzi, G.; Vespoli, S.; Santillo, L. C.
A Reinforcement Learning approach in Industry 4.0 enabled production system
2022 Marchesano, M. G.; Salatiello, E.; Guizzi, G.; Santillo, L. C.
Assessment of performance in Industry 4.0 enabled Job-Shop with a due-date based dispatching rule
2022 Salatiello, E.; Guizzi, G.; Marchesano, M. G.; Santillo, L. C.
Optimizing product assortment, joint replenishments, and storage capacity allocation in a deteriorating inventory system
2022 Castellano, D.; Gallo, M.; Grassi, A.; Santillo, L. C.
On the development of a blockchain-implementable intermediation model for digital supply chains
2022 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.; Arlinghaus, J. C.
A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in An Agri-Food Company
2022 Di Nardo, M.; Murino, T.; Osteria, G.; Santillo, L.
A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System
2022 Vespoli, S.; Salatiello, E.; Grassi, A.; Guizzi, G.; Santillo, L. C.
Controlling lead times and minor ordering costs in the joint replenishment problem with stochastic demands under the class of cyclic policies
2021 Braglia, M.; Castellano, D.; Santillo, L.; Song, D.
Dynamic Scheduling in a Flow Shop Using Deep Reinforcement Learning
2021 Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts
2021 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
A deep reinforcement learning approach for the throughput control of a flow-shop production system
2021 Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
On the advances of the Industry 4.0 Manufacturing Planning and Control system architectures
2021 Vespoli, S.; Converso, G.; Grassi, A.; Santillo, L. C.
A periodic review policy for a coordinated single vendor-multiple buyers supply chain with controllable lead time and distribution-free approach
2021 Castellano, D.; Gallo, M.; Santillo, L. C.
The manufacturing planning and control system: A journey towards the new perspectives in industry 4.0 architectures
2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems
2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
On the modelling of a decentralized production control system in the Industry 4.0 environment
2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
On the development of innovative manufacturing planning and control system architectures for the industry 4.0
2020 Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L.
Simulation-Based Performance Assessment of a New Job-Shop Dispatching Rule for the Semi-Heterarchical Industry 4.0 Architecture
2020 Guizzi, Guido; Vespoli, Silvestro; Grassi, Andrea; Santillo, LIBERATINA CARMELA
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