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Featured researches published by Antonio Padovano.


Computers & Industrial Engineering | 2017

Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context

Francesco Longo; Letizia Nicoletti; Antonio Padovano

Abstract As the Industry 4.0 takes shape, human operators experience an increased complexity of their daily tasks: they are required to be highly flexible and to demonstrate adaptive capabilities in a very dynamic working environment. It calls for tools and approaches that could be easily embedded into everyday practices and able to combine complex methodologies with high usability requirements. In this perspective, the proposed research work is focused on the design and development of a practical solution, called Sophos-MS, able to integrate augmented reality contents and intelligent tutoring systems with cutting-edge fruition technologies for operators’ support in complex man-machine interactions. After establishing a reference methodological framework for the smart operator concept within the Industry 4.0 paradigm, the proposed solution is presented, along with its functional and non-function requirements. Such requirements are fulfilled through a structured design strategy whose main outcomes include a multi-layered modular solution, Sophos-MS, that relies on Augmented Reality contents and on an intelligent personal digital assistant with vocal interaction capabilities. The proposed approach has been deployed and its training potentials have been investigated with field experiments. The experimental campaign results have been firstly checked to ensure their statistical relevance and then analytically assessed in order to show that the proposed solution has a real impact on operators’ learning curves and can make the difference between who uses it and who does not.


International Journal of Logistics Systems and Management | 2019

A system for supply chains diversification and (re)design: supporting managers perspective in the face of uncertainty

Antonio Padovano; Letizia Nicoletti; Francesco Longo

Because of the stochasticity of the supply chain (SC) and the increased uncertainty due to the negative trend of the publishing industry that is trying to survive to new trans-media contents delivery, business firms are looking for advanced tools supporting them in (re)defining their business (diversification) and in (re)designing their own SC. Here, a multi-method, iterative, four-step procedure has been defined where a new and win-win integration between value stream mapping (VSM) and multi-paradigm simulation is achieved. Such framework is implemented into a DSS (called SmartDistr), equipped with dedicated GUIs that drive the user along its application and use. The potentials of the proposed approach are demonstrated through the case study of a business firm managing a regional distribution network in the publishing industry. To this end, the proposed case study shows how the SmartDistr DSS allows evaluating operational and financial performance measures along with managerial insights that enable managers to discern easily different business diversification and SC (re)design scenarios.


MSCIAAS '16 Proceedings of the Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2016 (MSCIAAS 2016) and Space Simulation for Planetary Space Exploration (SPACE 2016) | 2016

Drones based relief on moon disaster simulation

Francesco Longo; Agostino G. Bruzzone; Antonio Padovano; Marco Vetrano


MESAS 2016 Proceedings of the Third International Workshop on Modelling and Simulation for Autonomous Systems - Volume 9991 | 2016

Disasters and Emergency Management in Chemical and Industrial Plants: Drones Simulation for Education and Training

Agostino G. Bruzzone; Francesco Longo; Marina Massei; Letizia Nicoletti; Matteo Agresta; Riccardo Di Matteo; Giovanni Luca Maglione; Giuseppina Murino; Antonio Padovano


International Journal of Industrial Ergonomics | 2019

Modeling workers’ behavior: A human factors taxonomy and a fuzzy analysis in the case of industrial accidents

Francesco Longo; Letizia Nicoletti; Antonio Padovano


International Journal of Simulation and Process Modelling | 2018

An interactive, interoperable and ubiquitous mixed reality application for a smart learning experience

Francesco Longo; Letizia Nicoletti; Antonio Padovano


IFAC-PapersOnLine | 2018

A Digital Twin based Service Oriented Application for a 4.0 Knowledge Navigation in the Smart Factory

Antonio Padovano; Francesco Longo; Letizia Nicoletti; Giovanni Mirabelli


International Journal of Simulation and Process Modelling | 2017

An intelligent serious game for a multi-device cultural heritage experience

Francesco Longo; Letizia Nicoletti; Antonio Padovano; Marco Vetrano


International Journal of Privacy and Health Information Management (IJPHIM) | 2017

Evaluating the Impacts of Lean Management Practices in Healthcare via Simulation

Antonio Calogero; Francesco Longo; Letizia Nicoletti; Antonio Padovano


annual simulation symposium | 2016

Virtual and augmented reality as enablers for improving the service on distributed assets

Agostino G. Bruzzone; Marina Massei; Gianluca Maglione; Matteo Agresta; Giulio Franzinetti; Antonio Padovano

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