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ORCIDNicla Frigerio
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- affiliation: Polytechnic University of Milan, Italy
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2020 – today
- 2024
[j11]Nicla Frigerio
, Baris Tan, Andrea Matta:
Simultaneous control of multiple machines for energy efficiency: a simulation-based approach. Int. J. Prod. Res. 62(3): 933-948 (2024)- [j10]Giovanni Lugaresi, Nicla Frigerio, Ziwei Lin, Mengyi Zhang, Andrea Matta:
A new teaching approach exploiting lab-scale models of manufacturing systems for simulation classes. J. Simulation 18(3): 460-475 (2024) - [c7]Xiaoxiao Shen, Nicla Frigerio, Shi-Chang Du, Andrea Matta:
Production Planning and Allocation of Re-Entrance Flows with Stochastic Quality. CASE 2024: 2943-2948 - 2021
- [j9]Antonio Costa, Erica Pastore, Nicla Frigerio:
The Server Allocation Problem with non-identical machines: A meta-heuristic approach. Comput. Ind. Eng. 162: 107687 (2021) - [j8]Ziwei Lin, Nicla Frigerio, Andrea Matta, Shichang Du:
Multi-fidelity surrogate-based optimization for decomposed buffer allocation problems. OR Spectr. 43(1): 223-253 (2021) - [j7]Alberto Loffredo, Nicla Frigerio, Ettore Lanzarone, Andrea Matta:
Energy-Efficient Control Policy for Parallel and Identical Machines With Availability Constraint. IEEE Robotics Autom. Lett. 6(3): 5713-5719 (2021) - [j6]Nicla Frigerio, Lorenzo Marzano, Andrea Matta:
An Online Policy for Energy-Efficient State Control of Manufacturing Equipment. IEEE Trans Autom. Sci. Eng. 18(2): 705-716 (2021) - 2020
- [j5]Giovanni Lugaresi, Ettore Lanzarone, Nicla Frigerio, Andrea Matta:
A robust cardinality-constrained model to address the machine loading problem. Robotics Comput. Integr. Manuf. 62: 101883 (2020)
2010 – 2019
- 2019
- [c6]Lorenzo Marzano, Nicla Frigerio, Andrea Matta:
Energy Efficient State Control of Machine Tools: a Time-Based Dynamic Control Policy. CASE 2019: 596-601 - [c5]Giovanni Lugaresi, Ziwei Lin, Nicla Frigerio, Mengyi Zhang, Andrea Matta:
Active Learning Experience in Simulation Class Using A Lego®-Based Manufacturing System. WSC 2019: 3307-3318 - 2018
- [j4]Nicla Frigerio, Andrea Matta:
Corrections to "Energy Efficient Control Strategies for Machine Tools with Stochastic Arrivals". IEEE Trans Autom. Sci. Eng. 15(2): 900 (2018) - [j3]Nicla Frigerio, Andrea Matta:
Corrections to "Analysis on Energy Efficient Switching of Machine Tool with Stochastic Arrivals and Buffer Information". IEEE Trans Autom. Sci. Eng. 15(2): 901 (2018) - [c4]Nicla Frigerio, Andrea Matta, Ziwei Lin:
Multi-fidelity Models for Decomposed simulation Optimization Problems. WSC 2018: 2237-2248 - 2016
- [j2]Nicla Frigerio, Andrea Matta:
Analysis on Energy Efficient Switching of Machine Tool With Stochastic Arrivals and Buffer Information. IEEE Trans Autom. Sci. Eng. 13(1): 238-246 (2016) - 2015
- [j1]Nicla Frigerio, Andrea Matta:
Energy-Efficient Control Strategies for Machine Tools With Stochastic Arrivals. IEEE Trans Autom. Sci. Eng. 12(1): 50-61 (2015) - [c3]Nicla Frigerio, J. George Shanthikumar, Andrea Matta:
Dynamic programming for energy control of machine tools in manufacturing. CASE 2015: 39-44 - 2014
- [c2]Nicla Frigerio, Andrea Matta:
Energy saving policies for a machine tool with warm-up, stochastic arrivals and buffer information. CASE 2014: 646-651 - 2013
- [c1]Nicla Frigerio, Andrea Matta:
Machine control policies for energy saving in manufacturing. CASE 2013: 651-656
Coauthor Index
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