Marcello Fera

LLM-empowered remanufacturing: A novel human-AI interaction under the lens of a scoping review

Alireza Mortezapour, Mario Caterino, Marcello Fera

In recent years, due to the high importance of raw materials, cost reduction pressures, and environmental concerns, remanufacturing processes have gained significant importance. In parallel, different Artificial Intelligence (AI) models especially, Generative AIs (Gen AIs) have been penetrating into work environments to …

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Maintenance strategy selection: a state of the art for practitioners

Marcello Fera, Mario Caterino, Raffaele Iannone, Raffaele Abbate et autres

Purpose In the face of a competitive industrial landscape, optimising maintenance strategies is critical for manufacturing companies striving to improve operational efficiency, safety and cost-effectiveness. Maintenance strategy selection (MSS) is crucial in mitigating downtime and enhancing system performance, where inadequate strategy selection …

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Supplementary material for Benchmarking the Bees Algorithm for Ergonomic Job Rotation

Natalia Rumanti Hartono, Mario Caterino, Marcello Fera, Marta Rinaldi et autres

All figures for the manuscript titled "Benchmarking the Bees Algorithm for Ergonomic Job Rotation", presented at the 2026 Winter Simulation Conference.

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Supplementary material for Benchmarking the Bees Algorithm for Ergonomic Job Rotation

Natalia Rumanti Hartono, Mario Caterino, Marcello Fera, Marta Rinaldi et autres

All figures for the manuscript titled "Benchmarking the Bees Algorithm for Ergonomic Job Rotation", presented at the 2026 Winter Simulation Conference.

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Alarm Prediction in Predictive Maintenance: A Comparative Analysis of Temporal Windows for Machine Learning Models in Industrial Systems

Mario Caterino, Tammaro Ucciero, Riccardo Emanuele Landi, Luca Mozzillo et autres

Predictive maintenance (PdM) plays a key role in improving the reliability and efficiency of industrial systems by anticipating abnormal operating conditions through data-driven approaches. In this context, many PdM solutions rely on temporal windowing strategies applied to multivariate time series; however, the …

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Addressing the impact of robots during disassembly operations: results from an empirical study

Mario Caterino, Marta Rinaldi, Valentina Di Pasquale, Marcello Fera et autres

Abstract The use of robots in industrial environments has become standard practice over the past 40 years. Advances in technology have enabled robots to actively interact with humans, thereby creating opportunities for enhanced collaboration. In remanufacturing, human–robot interaction (HRI) has contributed significantly …

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Enhancing Efficiency in the Nonwoven Industry through Discrete Event Simulation: Retrofitting and Refurbishing an Inactive Cutting Machine

LUÍSA MÜLLER PEREIRA, Leandro Gauss, Marcello Fera, Mario Caterino et autres

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Real-Time Prediction of Melt Flow Index in High-Density Polyethylene Production Using Machine Learning

N Pereira, MARTA RINALDO, Marcello Fera, Mario Caterino et autres

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Circular Economy Strategy Selection Through a Digital Twin Approach

Marta Rinaldi, Mario Caterino, Marcello Fera, Raffaele Abbate et autres

This study investigated the impact of different reverse logistics strategies on the economic and environmental performance of a system within the rubber flooring sector. A simulation tool was developed to replicate the behavior of a real production system, focusing on the transition …

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A framework proposal for scheduling environmental impact evaluation in manufacturing systems

Ciele Resende Veneroso, Chiara Franciosi, Raffaele Iannone, Marcello Fera et autres

The environmental performance of scheduling decisions in complex manufacturing systems is influenced by machine deterioration, resource consumption, and dynamic operation states. However, existing approaches often lack comprehensive environmental impact assessments while ensuring adaptability across diverse production environments. This study presents the Scheduling …

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No-wait lines optimisation: a procedure based on scheduling enhanced by digital twin

Mario Caterino, Roberto Macchiaroli, Stefano de Miranda, Marcello Fera

Abstract The no-wait scheduling problem involves planning the sequence of tasks in a job without any delay. This constraint is crucial in industries where production interruptions may create significant inefficiencies or quality issues. This paper addresses this problem by proposing a new …

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Enhancing remanufacturing operations: A review on Decision-Making models and their implementation challenges

Mario Caterino, Raffaele Iannone, Roberto Macchiaroli, Stefano Riemma et autres

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