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Nicla Frigerio

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affiliation: Polytechnic University of Milan, Italy

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2020 – today

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2024
[j11]
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  - journals/ijpr/FrigerioTM24
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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]
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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]
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  - conf/case/ShenFDM24
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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]
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  - journals/candie/CostaPF21
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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]
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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]
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  - journals/ral/LoffredoFLM21
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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]
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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]
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  - journals/rcim/LugaresiLFM20
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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

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2019
[c6]
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  - conf/case/MarzanoFM19
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Lorenzo Marzano, Nicla Frigerio, Andrea Matta:
Energy Efficient State Control of Machine Tools: a Time-Based Dynamic Control Policy. CASE 2019: 596-601
[c5]
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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]
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  - journals/tase/FrigerioM18
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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]
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  - journals/tase/FrigerioM18a
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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]
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Nicla Frigerio, Andrea Matta, Ziwei Lin:
Multi-fidelity Models for Decomposed simulation Optimization Problems. WSC 2018: 2237-2248
2016
[j2]
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  - journals/tase/FrigerioM16
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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]
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  - journals/tase/FrigerioM15
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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]
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  - conf/case/FrigerioSM15
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Nicla Frigerio, J. George Shanthikumar, Andrea Matta:
Dynamic programming for energy control of machine tools in manufacturing. CASE 2015: 39-44
2014
[c2]
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  - conf/case/FrigerioM14
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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]
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  - conf/case/FrigerioM13
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Nicla Frigerio, Andrea Matta:
Machine control policies for energy saving in manufacturing. CASE 2013: 651-656

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