Energy-efficient control strategies for machine tools with stochastic arrivals N Frigerio, A Matta IEEE Transactions on Automation Science and Engineering 12 (1), 50-61, 2014 | 91 | 2014 |
Energy efficient control strategy for machine tools with stochastic arrivals and time dependent warm-up N Frigerio, A Matta Procedia CIRP 15, 56-61, 2014 | 50 | 2014 |
Analysis on energy efficient switching of machine tool with stochastic arrivals and buffer information N Frigerio, A Matta IEEE Transactions on Automation Science and Engineering 13 (1), 238-246, 2015 | 49 | 2015 |
Analysis of an energy oriented switching control of production lines N Frigerio, A Matta Procedia Cirp 29, 34-39, 2015 | 32 | 2015 |
Modeling energy states in machine tools: an automata based approach N Frigerio, A Matta, L Ferrero, F Rusinà Re-engineering Manufacturing for Sustainability: Proceedings of the 20th …, 2013 | 30 | 2013 |
A new learning factory experience exploiting LEGO for teaching manufacturing systems integration G Lugaresi, N Frigerio, A Matta Procedia Manufacturing 45, 271-276, 2020 | 21 | 2020 |
Energy saving opportunities and value of information: a trade-off in a production line H Su, N Frigerio, A Matta Procedia CIRP 48, 301-306, 2016 | 21 | 2016 |
An adaptive policy for on-line Energy-Efficient Control of machine tools under throughput constraint N Frigerio, CFA Cornaggia, A Matta Journal of Cleaner Production 287, 125367, 2021 | 18 | 2021 |
Active Learning Experience in Simulation Class Using A Lego®-Based Manufacturing System G Lugaresi, Z Lin, N Frigerio, M Zhang, A Matta 2019 Winter Simulation Conference (WSC), 3307-3318, 2019 | 16 | 2019 |
Multiple sleeping states for energy saving in CNC machining centers M Squeo, N Frigerio, A Matta Procedia CIRP 80, 144-149, 2019 | 15 | 2019 |
Energy-efficient control policy for parallel and identical machines with availability constraint A Loffredo, N Frigerio, E Lanzarone, A Matta IEEE Robotics and Automation Letters 6 (3), 5713-5719, 2021 | 14 | 2021 |
Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints A Loffredo, N Frigerio, E Lanzarone, A Matta IISE Transactions 56 (1), 69-83, 2024 | 13 | 2024 |
Modelling the startup of machine tools for energy efficient multi-sleep control policies N Frigerio, A Matta Journal of Manufacturing Systems 60, 337-349, 2021 | 12 | 2021 |
Machine control policies for energy saving in manufacturing N Frigerio, A Matta 2013 IEEE International Conference on Automation Science and Engineering …, 2013 | 12 | 2013 |
Energy efficient state control of machine tools: A time-based dynamic control policy L Marzano, N Frigerio, A Matta 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 10 | 2019 |
Analysis of production lines with switch-Off/On controlled machines N Frigerio, A Matta Eco-Factories of the Future, 147-172, 2019 | 10 | 2019 |
Simultaneous control of multiple machines for energy efficiency: a simulation-based approach N Frigerio, B Tan, A Matta International Journal of Production Research 62 (3), 933-948, 2024 | 8 | 2024 |
An online policy for energy-efficient state control of manufacturing equipment N Frigerio, L Marzano, A Matta IEEE Transactions on Automation Science and Engineering 18 (2), 705-716, 2020 | 8 | 2020 |
Energy-efficient control of parallel and identical machines: Impact on the overall production system A Loffredo, N Frigerio, E Lanzarone, M Ghassempouri, A Matta Procedia CIRP 105, 739-744, 2022 | 7 | 2022 |
A decision support methodology for the design of reconfigurable assembly systems M Colledani, A Yemane, G Lugaresi, N Frigerio, G Borzi, A Bassi, ... Ifac-Papersonline 51 (11), 108-115, 2018 | 7 | 2018 |