Papers by Roberto Revetria
IFAC Proceedings Volumes, Jul 1, 2000
The paper presents an innovative tool for supporting facility design in manufacturing and assembl... more The paper presents an innovative tool for supporting facility design in manufacturing and assembling developed by the authors; the general architecture integrating Genetic Algorithms with discrete-event simulation is proposed including experimental results obtained in real industrial case studies.
Health and Technology
Purpose The purpose of this research is to provide an effective contribution to contrast the spre... more Purpose The purpose of this research is to provide an effective contribution to contrast the spread of Covid19. Therefore, the authors aimed to model a new strategy (technologies and processes), using the principles made available by Industry 4.0. Method The strategy consists in an IoT thermoscanner (developed by the authors, strategically placed throughout the settlement), and an innovative method of disinfection (achieved by redesigning the sanitization processes, using UV-C rays and gaseous Ozone produced by IoT machines, again conceptualized and developed by the authors, being capable of reproducing the Chapman Cycle and its associated benefits). This method was discussed in the article "Sanitizing of Confined Spaces Using Gaseous Ozone Produced by 4.0 Machines," which was presented at the WCE 2021 IAENG Congress (Best Paper Award of the 2021 International Conference of Systems Biology and Bioengineering). Result The results consist in: 1. an absolute disinfection syst...
In this paper which is the extended version of the paper presented at Sysint 2020 and published b... more In this paper which is the extended version of the paper presented at Sysint 2020 and published by Springer on Proceedings [10] the authors address the problem of surveillance of bedridden patients in healthcare, who cannot be supervised by operators 24 hours a day, given the associated costs. This problem is already faced by wearable devices, with some limits. The system proposed consists in monitoring the bed, instead of the patient, through applied sensors. By centralizing and analyzing the data collected it is possible to inform the operative center of the occurrence of risky events. The scope is preventing such risks or mitigating their effects with a real time intervention. Important 4.0 features are added to the new release presented in this extension, like Digital Twins and Cyber Physical Systems enhanced with Artificial Intelligence. The case study proposed in the original paper has been updated with new figures, widely improving the sustainability of the initiative.
Similarity analysis of the boundary flow over a flat surface in a non-Newtonian fluid is consider... more Similarity analysis of the boundary flow over a flat surface in a non-Newtonian fluid is considered. Many of the non-Newtonian fluids which occur in practical applications, such as molten plastics, polymers, foods exhibit the so-called Ostwald-de-Waele power law nonlinearity. Introducing the stream function in governing partial differential equations of mathematical models of various physical processes and choosing the similar variables we obtain the boundary value problem for the similar ordinary differential equation or their system. These similar equations have different type of non-linearity and depend on parameters. We shall study the analytic solutions to different problems: boundary layer flow past a stationary surface or boundary layer flow over a solid surface continuously moving in a fluid, etc. Brief Biography of the Speaker: Professor Bognar received the M.Sc. in Mechanical Engineering from University of Miskolc, Miskolc, Hungary, Ph.D. and 'Candidate' degree in ...
A State of the Art of Digital Twin and Simulation Supported by Data Mining in the Healthcare Sector
Healthcare and more precisely private hospitals are critical and complex environments where makin... more Healthcare and more precisely private hospitals are critical and complex environments where making appropriate decisions is vital. For this reason, they are widely studied in many fields. This paper aims to provide the current state of the art of Digital Twin and/or Simulation involved in Decision Support System (DSS) whose data are processed through Data Mining techniques applied in the healthcare sector. In this view, the authors' research has been based on the following keywords: Healthcare, Hospital, Digital Twin, Simulation, Data Mining and Decision Support System. Doing so, it has been possible to gather 13 papers which have been carefully studied
The internal logistics for warehouses of many industrial applications, based on the movement of h... more The internal logistics for warehouses of many industrial applications, based on the movement of heavy goods, is commonly solved by the installment of a multi-crane system. The job scheduling of a multi-crane system is an interesting problem of optimization, solved in many ways in the past. This paper describes a comparison between the optimization by the use of Genetic Algorithms (GA) and introduce a framework for the solution of the problem using machine learning driven by Neural Networks (NN). Even though this last approach is not implemented in this paper, performances very close to GA ones are expected with NN. A case-study for steel coil production is proposed as a test frame for two different simulation software tools, one based on a heuristic solution and one on machine learning; performances and data achieved from reviews and simulations are compared.
This paper aims to introduce a new flexible block in order to manage processes in Business Proces... more This paper aims to introduce a new flexible block in order to manage processes in Business Process Reengineering. This splits an activity in multiple ones and, when the last ends, they are collected in a new single output activity. This block has been created using AnyLogic ® software. Furthermore, in order to show the wide application range of this block two different applications are provided. The first one has been performed in a harbor and the data are collected by means of questionnaires. The second one has been performed in a hospital, in particular in the surgical process. In this last application the data are gathered using Data Mining applied to real medical database which contains a huge
Project schedules supporting the production and maintenance of heavy special machinery, ships and... more Project schedules supporting the production and maintenance of heavy special machinery, ships and aircrafts have to be updated, e.g. due to changed order contents and dates, resource breakdowns, further projects etc. In addition to the production target, an update should also aim to have as few deviations as possible to a current schedule (i.e. solution robustness), aiming to prevent revisions of further decisions (e.g. material procurement, subcontracting, worker attendance). This raises the need for a multi-objective evaluation of deviations and a proper rescheduling procedure. The aim of the paper is to design two algorithms for optimization and robustness evaluation, perceiving robustness as deviations between one current schedule and one possible reschedule created by the simulation-based optimization. In contrast to existing approaches, we propose to measure those deviations with respect to various dimensions. Two algorithms are designed, measuring timely deviations (e.g. devi...
Proceedings of the International Symposium on the Analytic Hierarchy Process, 2020
This study aims to develop a Decision Support Tool (DST) able to evaluate the sustainability of s... more This study aims to develop a Decision Support Tool (DST) able to evaluate the sustainability of strategic projects which could be implemented in a hospital context. The applied methodology was based on a double Multi-Criteria Decision Analysis realized by the traditional Analytic Hierarchy Process and the more recent Value-Analytic Hierarchy Process. A case study developed in a middle-size Italian hospital from 2016 to 2019 was proposed in order to implement a sustainability index, named normalized Sustainability Group Global Rating, which represents a first effort to define a standard index for hospital project sustainability.
Advances in Science, Technology and Engineering Systems Journal, 2020
Management Redesign of a Multi-product Line Through Discrete Event Simulation and Response Surface Methodology
Modelling, Identification and Control / 834: Parallel and Distributed Computing and Networks / 835: Software Engineering, 2016
Renewable Energy Sources Integrated with Electric Power Supply in Manufacturing Companies: A Management Model
International Journal of Power and Energy Systems, 2015
In this paper, the authors, consistent with the philosophy of Sustainable Manufacturing, propose ... more In this paper, the authors, consistent with the philosophy of Sustainable Manufacturing, propose a generalized methodology for replacing/supplementing traditional energy sources with renewable energy sources (RES). The methodology, developed stochastically, makes extensive use of Discrete Event Simulation and the Monte Carlo method to optimize, for each hour of operation, the ratio of production from RES to supply from traditional sources. The final output is summarized as a cumulative distribution function of the hourly lack of power produced by RES compared to system demands. In this way, the manager can, sufficiently in advance, select the most appropriate procurement strategy
Reti Neurali Artificiali Applicate agli Impianti Industriali
Fleet Management System Requirements for the Maritime Logistics of the Chemical Industry
Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications "Th... more Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications "The goal of this book is not to look at simulation from traditional perspectives, but to illustrate the benefits and issues that arise from the application of simulation within other disciplines. This book focuses on major breakthroughs within the technological arena, with particular concentration on the accelerating principles, concepts and applications."
Journal of Technology Innovations in Renewable Energy, 2014
The improvement of renewable energy sources exploitation is a central topic of the present studie... more The improvement of renewable energy sources exploitation is a central topic of the present studies in the energetic field. One of the main obstacles to the renewable energy increase in the global energetic mix is represented by the fluctuating nature of renewable power sources. The power fluctuations are cause of stress for the electric grid to which the individual nodes are connected. A wider exploitation of renewable power is possible through the implementation of a "smart grid", constituted by an interconnection of several smart nodes consisting in a user and a renewable source. To reduce the stochastic effects of the renewable energy source it is possible to introduce in the nodes composing the smart grid an energy storage, finalized to smooth the power peaks, rending the node itself less disturbing for the electric grid. This paper presents a simulation model of a smart node, consisting in a user power profile, a photovoltaic panel, an electric vehicle and a battery. Through the simulation model it is possible to evaluate the node effect on the electric grid, with a quantitative approach. Tests were worked out in different node configurations: basic (the only user power profile), basic with photovoltaic panel, basic with storage, basic with panel and storage and finally the complete configuration including also the electric vehicle. The tests were repeated for a domestic and an industrial user to evaluate the size influence over the parameters of interest.
Numerical Exergetic Analysis of Different Biomass and Fossil Fuels Gasification
International Journal of Renewable Energy and Biofuels, 2014
Innovative Healthcare Modeling Methodology based on System Dynamics and State Transition Diagrams
Improve supply chain management using neural networks and regresive KPI relationship metamodels
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Papers by Roberto Revetria