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85 results on '"Cassettari, Lucia"'

14. Improving Healthcare Using Cognitive Computing Based Software: An Application in Emergency Situation

Author

Revetria, Roberto, Catania, Alessandro, Cassettari, Lucia, Guizzi, Guido, Romano, Elpidio, Murino, Teresa, Improta, Giovanni, Fujita, Hamido, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Jiang, He, editor, Ding, Wei, editor, Ali, Moonis, editor, and Wu, Xindong, editor

Published
2012
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16. A Response Surface Methodology Approach to Improve Adhesive Bonding of Pulsed Laser Treated CFRP Composites.

Author

Mandolfino, Chiara, Cassettari, Lucia, Pizzorni, Marco, Saccaro, Stefano, and Lertora, Enrico

Subjects
*RESPONSE surfaces (Statistics), *ADHESIVES, *ADHESIVE joints, *FIBER lasers, *MANUFACTURING processes, *SURFACE preparation, *PULSED lasers
Abstract

In this work, a response surface-designed experiment approach was used to determine the optimal settings of laser treatment as a method of surface preparation for CFRP prior to bonding. A nanosecond pulsed Ytterbium-doped-fiber laser source was used in combination with a scanning system. A Face-centered Central Composite Design was used to model the tensile shear strength (TSS) of adhesive bonded joints and investigate the effects of varying three parameters, namely, power, pitch, and lateral overlap. The analysis was carried out considering different focal distances. For each set of joints, shear strength values were modeled using Response Surface Methodology (RSM) to identify the set-up parameters that gave the best performance, determining any equivalent conditions from a statistical point of view. The regression models also allow the prediction of the behavior of the joints for not experimentally tested parameter settings, within the operating domain of investigation. This aspect is particularly important in consideration of the process optimization of the manufacturing cycle since it allows the maximization of joint efficiency by limiting the energy consumption for treatment. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Optimization of Stochastic Discrete Event Simulation Models Using 'AFO' Heuristic

Author

Cassettari Lucia, Bendato Ilaria, Fioribello Simone, and Giribone Pier Giuseppe

Subjects
Mathematical optimization, Optimization problem, Linear programming, Computer science, Heuristic, Stochastic process, 020209 energy, Discrete optimization, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Algorithm design, 02 engineering and technology, Discrete event simulation
Abstract

The optimal conditions evaluation in complex stochastic systems modelled through Discrete Event Simulation is often extremely costly in computational terms. Especially when the number of variables involved is high, as in the case of manufacturing systems, the duration of each simulation run can last even several hours of calculation. It therefore becomes very important to use an optimal search method that allows the experimenter to reduce as much as possible the number of function evaluations analysed. With this goal, the Authors compared the performance of a new nature-inspired Heuristic called Attraction Force Optimization (AFO), with those of traditional algorithms, applying these different methodologies to a real industrial case. The authors believe that the obtained results could be of great interest to the scientific community and the AFO heuristic can become a valuable reference for discrete event simulation-based optimization problems.

Published
2016

32. Advanced Modeling Methodology based on System Dynamics in Healthcare

Author

Guizzi, Guido, Romano, E., Santillo, L. C., Revetria, Roberto, Testa, Alessandro, Cassettari, Lucia, Manoji K. Jha, Myriam Lazard, Azami Zaharim, Kamaruzzaman Sopian, Romano, Elpidio, Guizzi, Guido, Santillo, LIBERATINA CARMELA, Revetria, R., Mosca, R., and Cassetari, L.

Subjects
Lean Healthcare, Human Resources, Systems Dynamic, State Transition Diagram, Simulation
Abstract

Healthcare is growing sectors for optimization techniques since most of the Europeans National Health Systems are facing the goal of reduce their financial efforts. This paper presents an innovative approach where Systems Dynamics and State Transition Diagrams are integrated building a flexible and general model able to reproduce complex healthcare operations in a tradeoff between complexity and flexibility. The papers shows a case study applied to real life hospital.

Published
2012

34. Analysis of demand variability in a kanban cell by Virtual Kanban Strategy

Author

Cassettari, Lucia, Gallo, M., Montella, D. R., Revetria, Roberto, Romano, E., Testa, Alessandro, Manoji K. Jha, Myriam Lazard, Azami Zaharim, Kamaruzzaman Sopian, Romano, Elpidio, Cassettari, L., Gallo, Mose', Montella, DANIELA RITA, Revetria, R., and Testa, A.

Subjects
System Dynamic, Virtual Kanban Strategy, Kanban, Simulation
Abstract

The aim of this work is to contribute to the understanding of the dynamics produced by the variability of demand in a kanban cell, and influencing decision-makers within manufacturing strategies. In particular, in this study it was taken out of production context a single kanban cell, for which typically a production unit acts as a supplier and an assembly unit acts as a customer. For this cell a Virtual Kanban Strategy has been proposed and evaluated using a system dynamics simulation software.

Published
2012

50. An Healthcare Process Reengineering Using Discrete Event Simulation.

Author

Cassettari, Lucia, Mosca, Marco, Mosca, Roberto, and Rolando, Fabio

Subjects
REENGINEERING (Management), MEDICAL care costs, DISCRETE systems, SUSTAINABILITY, STERILIZATION (Disinfection)
Abstract

Between 2002 and 2012 the costs of Italian Healthcare Service grew from about 50 billion Euros to over 110 billion, getting no longer sustainable for the Government. Facing specific requests, coming from the Management of some local Hospitals, authors started several research activities focused to improve the efficiency of healthcare internal processes. The case of the sterilization process of surgical tools, topic of this paper, is an emblematic example of the authors' approach to such kind of problems. At first, using two Discrete Event Simulation models, a clear picture of process inefficiencies was defined. Then, a costs optimization was achieved by means of a process reengineering. At the end, supposing to share the considered sterilization plant with other healthcare partners, a new strategy to manage the plant was evaluated. The resulting cost reduction is estimated around a million Euros/year [ABSTRACT FROM AUTHOR]

Published
2013

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