Dissertations / Theses on the topic 'Supporti alla decisione'
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Iovane, Gerardo. "Metodi, modelli e tecnologie avanzate per l'innovazione di sistemi di supporto alle decisioni in scenari ad alta complessità." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/1291.
Full textOggi le metodologie matematiche innovative, proprie della teoria della complessità e le tecnologie informatiche, nel contesto del softcomputing, possono fornire un utile supporto per lo studio, la definizione e successiva realizzazione di strumenti di supporto alle decisioni. Tali sistemi di supporto alle decisioni possono essere in grado di fornire non soltanto, come accadeva nel passato, la migliore decisione relativa ad una data tematica, ma soprattutto una strategia decisionale in grado di permettere il raggiungimento di un prefissato obiettivo, utilizzando traiettorie decisionali ottime. Mentre nel passato, l’informatica era in grado di fornire un decisore elettronico, oggi grazie alla teoria della complessità opportunamente impiegata in infrastrutture tecnologiche di softcomputing è possibile ottenere strumenti innovativi utili alla pianificazione; fornendo, altresì, non solo una decisione, che normalmente è già nota all’esperto di un dato settore, ma anche e soprattutto una strategia decisionale frutto della competizione di un grande numero di soluzioni possibili simulate just in time. Inoltre, molto spesso, il decisore deve condividire le sue scelte con altri enti o entità deputate ad altre funzioni, quindi la soluzione innovativa qui proposta permette la costruzione di strategie decisionali ottime sia singolarmente che rispetto ad un decisore di governance, di management ed operational, che sia in un dato ente o che sia distribuito su più enti. Il risultato è uno studio che dopo aver inquadrato le tematiche generali sulla teoria dei giochi, i modelli di descrizione della complessità ed i processi stocastici self-similari, la teoria della decisione, i sistemi di supporto alle decisioni, le diverse metodologie e tecnologie del soft-computing, analizza gli aspetti salienti e di dettaglio per la realizzazione di un motore computazionale innovativo ed avanzato di supporto alle decisioni in ambito complesso per fornire specifica risposta all’obiettivo offrendo elementi di dettaglio e di esempio per una specifica realizzazione in diversi ambiti applicativi, grazie al suo potere di astrazione. [a cura dell'autore]
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Genghini, Luca. "Supporto alle decisioni multistadio: il caso del Fantacalcio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18516/.
Full textRossi, Francesca <1988>. "Sistemi di supporto alle decisioni: logistica distributiva in Pam Panorama s.p.a." Master's Degree Thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/1773.
Full textPiani, Jacopo <1988>. "Sviluppo di metodologie innovative di supporto decisionale alla progettazione basate su indicatori di prestazione." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7024/1/Piani_Jacopo_tesi.pdf.
Full textThe research project was finalized to develop an innovative decision support system based on key performance indicators for the choice among process alternatives. In particular, the project was focused on the definition of indicators able to support decisions in the debottlenecking of a process plant. Two indicators that allow evaluating the need and the potentialities for debottlenecking, identifying the causes of production losses and the utilisation of the equipment, were developed. The practical value and the potentialities of such indicators were evaluated analyzing the section of a production process of a high molecular weight organic substance. As a following step, the issue of deciding among process alternatives for debottlenecking was afforded. A methodology based on sustainability indicators was applied to select the best alternative. The methodology, that allows comparing the alternatives through the analysis of environmental, social and economic impacts, was further developed within the present study. Two area hazard indicators aiming at the assessment of the impacts of fugitive emissions were developed to integrate these aspects in the sustainability analysis of process alternatives. To increase the accuracy in the quantifications of these impacts, a new predictive model, based on available data in design phase, considering the different categories of emission sources, the mechanism of losses, and the maintenance, was developed to estimate the fugitive emissions in a process plant. The comparison between the experimental measurements of fugitive emissions rate in a process plant and the model results confirmed that this new predictive model was needed for an adequate comparison of the process alternatives, because the existing predictive models overestimate the real emission rate. Finally applying the indicators on a real process plant it was confirmed that these indicators are very important to simplify the decisional process, because they provide accurate indications based on a limited number of information.
Piani, Jacopo <1988>. "Sviluppo di metodologie innovative di supporto decisionale alla progettazione basate su indicatori di prestazione." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7024/.
Full textThe research project was finalized to develop an innovative decision support system based on key performance indicators for the choice among process alternatives. In particular, the project was focused on the definition of indicators able to support decisions in the debottlenecking of a process plant. Two indicators that allow evaluating the need and the potentialities for debottlenecking, identifying the causes of production losses and the utilisation of the equipment, were developed. The practical value and the potentialities of such indicators were evaluated analyzing the section of a production process of a high molecular weight organic substance. As a following step, the issue of deciding among process alternatives for debottlenecking was afforded. A methodology based on sustainability indicators was applied to select the best alternative. The methodology, that allows comparing the alternatives through the analysis of environmental, social and economic impacts, was further developed within the present study. Two area hazard indicators aiming at the assessment of the impacts of fugitive emissions were developed to integrate these aspects in the sustainability analysis of process alternatives. To increase the accuracy in the quantifications of these impacts, a new predictive model, based on available data in design phase, considering the different categories of emission sources, the mechanism of losses, and the maintenance, was developed to estimate the fugitive emissions in a process plant. The comparison between the experimental measurements of fugitive emissions rate in a process plant and the model results confirmed that this new predictive model was needed for an adequate comparison of the process alternatives, because the existing predictive models overestimate the real emission rate. Finally applying the indicators on a real process plant it was confirmed that these indicators are very important to simplify the decisional process, because they provide accurate indications based on a limited number of information.
Cecchinato, Giacomo <1993>. "Modelli e metodi per il supporto alle decisioni in una struttura alberghiera." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/16378.
Full textCARTA, MICHELE. "Implementazione di modelli di aiuto alle decisioni, basati su tecniche di analisi multi-criteria, come supporto alla programmazione delle strategie e delle azioni sulle reti di trasporto stradale." Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249551.
Full textLatora, Antonio Giuseppe. "Metodologie Analytic Hierarchy Process ibride per applicazioni di Multiple Criteria Decision Analysis ai processi di Procurement." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1040.
Full textVERCESI, DAVIDE CESARE. "Sviluppo soluzioni innovative per il miglioramento dell'assistenza tecnico - agronomica per un'agricoltura sostenibile." Doctoral thesis, Università Cattolica del Sacro Cuore, 2021. http://hdl.handle.net/10280/108767.
Full textDuring the three years of the PhD, carried out in conjunction with the usual work within my company (Consorzio Agrario Terrepadane, supplier of means and services for agriculture), the knowledge on decision support systems was deepened (DSS, Decision Support Systems) for the cultivation of vines according to the principles of sustainable viticulture, including integrated production. During this research, some representative farms that produce grape of the work area (Val Nure, Val Tidone and Oltrepò Pavese valleys) were identified during the season. Information relating to the risk of fungal infection or the presence of pests generated by the Vite.net® DSS for these farms, together with the data collected in the vineyards through sensors, visual monitoring, the integration of new georeferenced detection and mapping technologies, have made possible to have a greater knowledge of the evolution of the crop in the area and therefore. During this work all aspects related to the evaluation and diffusion of innovation in agriculture were studied in depth, as well as the impacts and sustainability of agricultural processes, with particular attention to the protection of plants from pathogens, to the improvement of effectiveness of defense lines through the study of new strategies and product positioning.
Laner, Alessandro. "Tecniche di ottimizzazione applicate alla progettazione di opere nel campo dell'ingegneria civile ed ambientale." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425467.
Full textDe, Castri Andrea. "Sistemi di supporto alle decisioni in ambito clinico: predizione del rischio "as a service"." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14733/.
Full textMATOS, MENDES NILSON FELIPE. "Sistema di supporto alle decisioni basato sulla Ricerca Operativa per problemi nella logistica farmaceutica." Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2021. http://hdl.handle.net/11380/1244339.
Full textHealthcare services are strongly dependent on the availability of equipment and medicines, as shortages can lead to treatments interruptions, reduced capacity, or undesirable delays. In the last decades, centralized group purchasing organizations, coupled with an outsourced pharmaceutical logistic, have replaced traditional approaches to avoid shortages and associated negative effects. In Italy, this process started in the 1990s with a regionalization conducted by the Italian National Health Service. To make centralization strategy works, however, a good integration between warehouses and delivery infrastructure is fundamental. This means taking many decisions at all managerial levels. As these decisions are hard to be evaluated by hand, a computational tool becomes essential. In this thesis, we present algorithms and development processes used to create a decision support system for a pharmaceutical logistic company specialized in storage and distribution of pharmaceutical products in Italy. In the first chapter, the software conception and implementation are presented, including details about technology integration. In the second chapter, the transportation part of the system is presented, with a focus on the computational approach to solve two closely related problems, a rich vehicle routing problem and a truck and driver scheduling problem. In the third chapter, we present a storage allocation problem that has special constraints associated with the pharmaceutical logistic, and an Iterated Local Search (ILS) based algorithm to solve it. In conclusion, some possible system improvements and future research directions are shown. Additionally, the appendix contains two chapters that describe the results obtained in parallel researches developed by the author. The first appendix presents an Adaptative Large Neighbourhood Search heuristic combined with a Set Partitioning model to solve a multiobjective dial-a-flight problem. In this problem, a heterogeneous fleet of airplanes must be routed to carry passengers to a required destination. The objective is to minimize user inconvenience (measured by delays and intermediary stops) and costs. Each airplane has different speed, fuel consumption, capacity, and costs. The problem contains some hard-operational constraints such as airplane maximum weight (including passengers), safety, unavailability of fuel in some airports and time windows. The second appendix proposes four mathematical models and an ILS based heuristic to optimize a scheduling problem with position-dependent deterioration and maintenance activities. In this problem, a set of jobs must be scheduled on a set of parallel unrelated machines in order to minimize the makespan. Each job has an individual runtime and causes a deterioration on the machine that makes the runtimes of the next jobs rise by a cumulative factor. Maintenances, which have significant runtimes, can be scheduled between two jobs, making the machine recover its full performance. Overall, the contributions of this thesis lie in the proposal of algorithms and software to solve very complex routing and scheduling problems deriving from real-world decision problems.
ANSELMI, ANDREA. "Un sistema di monitoraggio e di supporto alle decisioni per la gestione sostenibile dell'oliveto." Doctoral thesis, Università Cattolica del Sacro Cuore, 2023. http://hdl.handle.net/10280/135601.
Full textThe objective of my research was to develop forecasting models of the main olive tree pests. Also in the area of pest control for this crop, serious criticalities emerged in connection with the practical application of phytosanitary treatments, not only due to the large size of the trees and the difficulties of accessibility that characterize many olive groves but also due to the poor functional regulation of sprayers and their little widespread instrumental control. Therefore, a system to support the calibration of sprayers was also developed.
Benetollo, Niccolo' <1989>. "Data mining e clusterizzazione: l'efficacia di Weka e Qlikview come strumenti di supporto alle decisioni." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8224.
Full textBoz, Marco <1993>. "Le reti Bayesiane come strumento di supporto alle decisioni aziendali: il caso della soddisfazione clienti." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12763.
Full textFRIGERIO, IVAN. "SCENARI DI RISCHIO E SISTEMI DI SUPPORTO ALLE DECISIONI PER LA GESTIONE DELLE EMERGENZE IDROGEOLOGICHE." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/169988.
Full textFRIGERIO, IVAN. "Scenari di rischio e sistemi di supporto alle decisioni per la gestione delle emergenze idrogeologiche." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/10281/46346.
Full textSapienza, Paola. "Un sistema di supporto alle decisioni per la gestione della manutenzione dei ponti di una rete viaria." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1010.
Full textVitale, Giovanni. "big data e data warehouse per supporto alle decisioni in ambito aziendale: un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22948/.
Full textZUCCHI, GIORGIO. "Progettazione e sviluppo di metodi di ottimizzazione per il supporto alle decisioni in sistemi logistici distribuiti." Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2023. https://hdl.handle.net/11380/1298350.
Full textIn the last years, due to technological progress, optimization methods based on mathematical programming and heuristic algorithms have consistently improved their efficiency. It is now possible to obtain, in a large variety of problems, optimal or sub-optimal solutions in acceptable computational time. Emerging trends, driven by Industry 4.0 and Big Data revolutions, are pushing to combine optimization, at its purest mathematical level, with data science and decision support systems. The research conducted in this PhD thesis investigates the creation of decision support systems for the selection of optimal or sub-optimal solutions to optimize distributes services. The research presents the use of mathematical models and heuristic techniques to solve issues related to relevant problems, such as Personnel Scheduling and Vehicle Routing. The addressed case studies are derived from real business cases from Coopservice scpa, a large provider of services in relevant sectors, including healthcare and industry.
CAMARDO, LEGGIERI MARCO. "Micotossine nei cereali: sviluppo di sistemi di supporto alle decisioni per gestire il rischio di contaminazione." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1732.
Full textMycotoxin are toxic secondary metabolite produced by fungi able to colonize crops and thus posing a potential menace to human/animal health. Several strategies have been considered to mitigate the problem studying the variables related to mould growth and mycotoxin production. This thesis focuses on the development and validation of mechanistic models to predict mycotoxins (deoxinivalenol, fumonisins and aflatoxins) contamination in cereals (maize/ wheat) based on meteorological data. The first chapter introduce modelling theory, and patho-systems analysed. Chapter 2 focuses on trichothecenes and zearalenone occurrence in wheat produced in Italy. Predictive performance of empirical and mechanistic models for deoxnivalenol contamination in wheat were discussed in chapter 3. Chapter 4 described fumonisins and aflatoxins occurrence in maize grown in Italy. Chapters 5 and 6 analised the patho-system maize-Aspergillus flavus; the former focuses on the dynamics of A. flavus sporulation the lalatter on the development of a mechanistic model to predict aflatoxin produced by A. falvus. Another mechanistic model for Fusarium ear rot and fumosin production in maize (chapter 7). The last chapter summarised the activity done in the European project MYCORED in which several countries worldwide were involved and wheat and/or maize samples collected with data necessary for model validation.
CAMARDO, LEGGIERI MARCO. "Micotossine nei cereali: sviluppo di sistemi di supporto alle decisioni per gestire il rischio di contaminazione." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1732.
Full textMycotoxin are toxic secondary metabolite produced by fungi able to colonize crops and thus posing a potential menace to human/animal health. Several strategies have been considered to mitigate the problem studying the variables related to mould growth and mycotoxin production. This thesis focuses on the development and validation of mechanistic models to predict mycotoxins (deoxinivalenol, fumonisins and aflatoxins) contamination in cereals (maize/ wheat) based on meteorological data. The first chapter introduce modelling theory, and patho-systems analysed. Chapter 2 focuses on trichothecenes and zearalenone occurrence in wheat produced in Italy. Predictive performance of empirical and mechanistic models for deoxnivalenol contamination in wheat were discussed in chapter 3. Chapter 4 described fumonisins and aflatoxins occurrence in maize grown in Italy. Chapters 5 and 6 analised the patho-system maize-Aspergillus flavus; the former focuses on the dynamics of A. flavus sporulation the lalatter on the development of a mechanistic model to predict aflatoxin produced by A. falvus. Another mechanistic model for Fusarium ear rot and fumosin production in maize (chapter 7). The last chapter summarised the activity done in the European project MYCORED in which several countries worldwide were involved and wheat and/or maize samples collected with data necessary for model validation.
MACCONI, MARTINA. "INDICATORI DI SOSTENIBILITÀ AMBIENTALE IMPLEMENTATI IN UN SISTEMA DI SUPPORTO ALLE DECISIONI PER IL SETTORE VITICOLO." Doctoral thesis, Università Cattolica del Sacro Cuore, 2016. http://hdl.handle.net/10280/10798.
Full textThe thesis focuses on environmental sustainability principles applied to the viticultural sector. The main goals are: (i) analysis of the literature background on agri-environmental indicators, (ii) development of an innovative methodology to assess environmental impacts of viticulture, and (iii) testing of the methodology in practical cases. The introduction is dedicated to the analysis of the agri-environmental indicators and the related EU policies, sustainable wine issues, and decision support systems for a sustainable viticulture. In the second part, a rigorous and complete methodology is developed to assess the sustainability level of viticulture in all the phases of the grape growing using both agronomic indicators and the Life Cycle Assessment approach. Six impact categories were identified: human health, air, soil, biodiversity conservation, energetic consumptions, and water use. Each category is composed by sub-indicators, for a total of 21 sub-indicators, each of them having a score (between 0 and 5) and a defined weight on the overall sustainability score (between 0 and 5). In the third part, the methodology was tested in practical cases within the European project “InnoVine”. The study is carried out following the guidelines from international standards and from documented literature sources for the assessment of the environmental performance and elaborating original methodologies for the input data collection, the quantification of the impacts, and the interpretation of the results. Finally, the results obtained confirm: i) the methodology validity in quantifying the impacts of different grape production practices on the environment, and ii) the possibility to implement the methodology in a decision support system for a sustainable viticulture.
MACCONI, MARTINA. "INDICATORI DI SOSTENIBILITÀ AMBIENTALE IMPLEMENTATI IN UN SISTEMA DI SUPPORTO ALLE DECISIONI PER IL SETTORE VITICOLO." Doctoral thesis, Università Cattolica del Sacro Cuore, 2016. http://hdl.handle.net/10280/10798.
Full textThe thesis focuses on environmental sustainability principles applied to the viticultural sector. The main goals are: (i) analysis of the literature background on agri-environmental indicators, (ii) development of an innovative methodology to assess environmental impacts of viticulture, and (iii) testing of the methodology in practical cases. The introduction is dedicated to the analysis of the agri-environmental indicators and the related EU policies, sustainable wine issues, and decision support systems for a sustainable viticulture. In the second part, a rigorous and complete methodology is developed to assess the sustainability level of viticulture in all the phases of the grape growing using both agronomic indicators and the Life Cycle Assessment approach. Six impact categories were identified: human health, air, soil, biodiversity conservation, energetic consumptions, and water use. Each category is composed by sub-indicators, for a total of 21 sub-indicators, each of them having a score (between 0 and 5) and a defined weight on the overall sustainability score (between 0 and 5). In the third part, the methodology was tested in practical cases within the European project “InnoVine”. The study is carried out following the guidelines from international standards and from documented literature sources for the assessment of the environmental performance and elaborating original methodologies for the input data collection, the quantification of the impacts, and the interpretation of the results. Finally, the results obtained confirm: i) the methodology validity in quantifying the impacts of different grape production practices on the environment, and ii) the possibility to implement the methodology in a decision support system for a sustainable viticulture.
CECCHINI, CRISTINA. "MODELLI DIGITALI MULTISCALARI PER LA GESTIONE DELL’INFORMAZIONE TECNICA SUI PATRIMONI EDILIZI. CONOSCENZA E SUPPORTO ALLA DECISIONE PER IL MIGLIORAMENTO ENERGETICO DEL COSTRUITO." Doctoral thesis, Università degli studi di Pavia, 2021. http://hdl.handle.net/11571/1385734.
Full textThe digitalisation of information on the built environment is a complex theme, which requires a multi-disciplinary approach to suit the needs of different users while each class could make use of specific models to reach their targets. In this context, with the aim of providing coherent and non-redundant representations, we need to think to new solutions for storing and sharing technical information. These should be able to capitalize existing knowledge and to integrate new data during the whole lifecycle of buildings. In this direction, representation methods have progressively evolved toward digital technologies, among those the opportunity of making joint use of GIS (Geographic Information System) and BIM (Building Information Modeling) through multi-scalar spatial database is emerging. The adoption of those tools allows defining digital archives that organize knowledge by taking advantage of the potential of IT (Information Technology) for realizing applications aimed at visualizing, querying and analysing building information. The research proposes a workflow for the creation of an information system based on GIS and BIM, able to collect and harmonize heterogeneous data on the built environment within a single platform. The structure is founded on a central core consisting of a standard spatial database, which can be enriched by linking thematic modules and decision support tools, realizing a modular and extensible configuration. In the present case, the theme of energy behaviour and refurbishment of existing buildings is examined in detail. In the European context, the energy efficiency of the built environment is a field of investigation of great interest given the building typologies that are involved. In fact, they often include constructions that are obsolete from a technical perspective, but crucial in the definition of the identity of the communities. For those buildings, interests addressed to the conservation of value and the upgrading of performance could coexist, determining a complex framework. The methodology was applied to the historical centre of Pavia, with a focus on the property asset of its University, which is extremely interesting due to its exceptional value, other than its vastness and variety. Concerning the case study, some applications for displaying energy information and assessing refurbishment scenarios were developed. The experiments show the operability of the workflow and allow to highlight the advantages deriving from the organization of a platform for collecting and sharing data on the built environment, designed to support investigation at different scales and to be inclusive with regard to all users.
Colace, Alessandro. "Progettazione e Sviluppo di un Sistema di Proactive Alerting all'interno di una piattaforma di Big Data Analytics." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Find full textCavina, Luca. "Applicazione dello User-Centered Design nella progettazione di un sistema di supporto alle decisioni per viticultura di precisione." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6687/.
Full textCozzo, Paola Maria Elena. "Sviluppo di un sistema di supporto alle decisioni per la determinazione dei limiti di velocità sulle strade extraurbane." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1009.
Full textTroiano, Stefania. "L'adeguamento della Slovenia alle politiche agro-ambientali dell'Unione Europea: analisi statistiche e multicriteriali a supporto delle decisioni pubbliche." Doctoral thesis, Università Ca' Foscari Venezia, 2001. http://hdl.handle.net/10579/914.
Full textDe, Waal Almeida Santos Paula <1964>. "Approcci di learning analytics orientati al miglioramento continuo di processi di insegnamento e apprendimento attraverso sistemi dinamici di supporto alla decisione: concetti e dispositivi emergenti." Doctoral thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/15010.
Full textDONNINI, NELLO. "Il Ritorno dell’Investimento (ROI) dei Vaccini da una prospettiva Governativa - Applicazione di un modello economico finanziario sulla vaccinazione antipneumoccica dell’adulto come strumento di supporto alle decisioni nel processo decisionale politico." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365540.
Full textBackground: Streptococcus pneumoniae or pneumococcus, is responsible for severe invasive infections (IPD) in high risk groups and in the elderly. Moreover the pneumococcus is the most common cause of community acquired pneumonia (CAP) in adults. The aim of this study is the budget impact analysis of pneumococcal vaccination in elderly population in Italy from the perspectives of the National Health System (NHS) and Societal at 10 years of follow-up. Methods: A Markov model was developed based on the cohort of the Italian population to describe pneumococcal disease in elderly (=65 years). Three vaccination strategy scenarios were considered; No vaccination (Scenario 1), vaccination with 20% VCR (Scenario 2) and vaccination with 75% VCR (Scenario 3). The model considers costs of vaccination and other direct and indirect medical costs related to pneumococcal disease (non-bacteraemic pneumococcal pneumonia and pneumococcal meningitis). The NHS and Societal perspective and a simulated follow-up of 10 years were adopted. Results: In the base case, considering the cohort of population vaccinated followed for 10 years, the model estimated a total direct and indirect cost of €92.9, €88.8 and €77.5 million for the Scenario 1, 2 and 3. The ROI was -10% in the scenario without vaccination and 37% in the scenario with vaccination considering the impact of direct and indirect costs. Conclusions: In this study has been demonstrated that a pneumococcal vaccination in elderly populations is a strategy with a positive ROI if also indirect costs have been considered in the analysis. VCR do not affect the ROI but the budget impact.
SALA, SERENELLA. "Definizione e costruzione di un sistema integrato per la valutazione del rischio derivante dall'utilizzo di prodotti fitosanitari in agricoltura su base territoriale." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2004. http://hdl.handle.net/10281/7551.
Full textPiovesan, Ilaria <1994>. "Sistemi di Supporto alle Decisioni Aziendali: analisi degli Order Picking Systems, presentazione del progetto sviluppato in OSRAM S.p.A. e discussione finale dei risultati." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/14015.
Full textMorelli, Giorgia. "Data Mining in Ambito Sanitario: stato dell'arte e sviluppi futuri." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12328/.
Full textBARTOLINI, CLAUDIO. "Business-driven IT Management." Doctoral thesis, Università degli studi di Ferrara, 2009. http://hdl.handle.net/11392/2388665.
Full textDEGLI, ESPOSTI Luca. "LA SPESA FARMACEUTICA TERRITORIALE NELLE AZIENDE SANITARIE LOCALI: INDICATORI PER IL CONTROLLO E PER L'ALLOCAZIONE DELLE RISORSE." Doctoral thesis, Università degli studi di Ferrara, 2009. http://hdl.handle.net/11392/2389162.
Full textARAÚJO, Ricardo De Andrade. "Mercado de ações brasileiro em alta-frequência: Evidências de sua previsibilidade com modelagem morfológica-linear." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/17924.
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Este trabalho apresenta um estudo sobre séries temporais financeiras, em alta-frequência, na tentativa de identificar as características do seu fenômeno gerador e, baseado neste estudo, propor um modelo, composto por uma combinação balanceada entre operadores lineares e operadores não-lineares crescentes e decrescentes, capaz de prever este tipo particular de série temporal. Para o processo de aprendizagem, é proposto um método baseado em gradiente descendente, utilizando ideias do algoritmo de retropropagação do erro (back propagation, BP) e uma abordagem alternativa para superar o problema da não-diferenciabilidade dos operadores não-lineares. Uma análise experimental é conduzida com o modelo proposto, utilizando um conjunto de séries temporais financeiras, em alta-frequência, do mercado de ações Brasileiro: Banco do Brasil SA, Banco Bradesco SA, Brasil Foods SA, BR Malls Participações SA e Companhia Energética Minas Gerais. Nestes experimentos, um conjunto relevante de medidas é utilizado para avaliar o desempenho preditivo do modelo proposto, e os resultados alcançados superam aqueles obtidos utilizando técnicas estatísticas, neurais e híbridas apresentadas na literatura. Também, são realizadas simulações com um sistema de apoio à decisão, baseado em previsão, para compra e venda de ações, tendo em vista demonstrar o desempenho econômico expressivo do modelo proposto no mercado de ações, em alta-frequência.
This work presents a study about high-frequency financial time series to identify the characteristics of their generator phenomenon and, based on such study, to propose a model, composed of a balanced combination of linear operators and increasing and decreasing nonlinear operators, able to predict this kind of time series. For the learning process, it is proposed a descent gradient-based method, using ideas from the back propagation (BP) algorithm and a systematic approach to overcome the problem of nondifferentiability of nonlinear operators. An experimental analysis is conducted with the proposed model, using a set of highfrequency financial time series of the Brazilian stock market: Banco do Brasil SA, Banco Bradesco SA, Brasil Foods SA, BR Malls Participações SA and Companhia Energética Minas Gerais. In these experiments, a relevant set of measures are used to assess the prediction performance of the proposed model, and the achieved results overcome those obtained by statistical, neural and hybrid techniques presented in the literature. Also, it is performed simulations with a prediction-based decision support system, for buy and sale of stocks, to demonstrate the significant economic performance of the proposed model in real high-frequency stock market
MEKURIA, DAGMAWI NEWAY. "Smart Home Reasoning Systems: From a Systematic Analysis Towards a Hybrid Implementation for the Management of Uncertainty and Inconsistency." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274608.
Full textA smart home is a residence equipped with technologies that facilitate monitoring of residents, promote independence and increase the quality of life. In general, smart homes control the operations of the home environment and automatically adapt it to its inhabitants’ needs. The smart home reasoning system (SHRS) is in charge of determining the automatic control and adaptation operations of the home system. Recently, there has been extensive research concerning different aspects of the SHRS. However, there is a clear lack of systematic investigation targeted at these systems. To close the gap, in the first part of this thesis we explore the SHRS domain. For this reason, we applied the systematic literature review (SLR) method by conducting automatic and manual searches on six electronic databases, and in-depth analysis of 135 articles from the literature. From the SLR, this thesis identifies that about 43% of smart homes are designed to provide general home automation services. It also presents twelve major requirements and features of the SHRS. In addition, the SLR finds out that 55.5% of the research contributions in SHRS domain are theoretical, and 51.5% of them are based on symbolic artificial intelligence techniques. Further, it characterizes the usage and application trends of different reasoning techniques in smart home domain, and evaluates the major assumptions, strengths, and limitations of the proposed systems in the literature. Additionally, it discusses the challenges of reasoning in smart home environments. Finally, it underlines the importance of utilizing hybrid reasoning approaches and the need to handle uncertainty and inconsistency issues of the SHRS, as well as overlapping, simultaneous and conflicting multiple inhabitants’ activities and goals in the smart home environment. The SLR identifies reasoning under uncertainty as one of the major challenges of SHRSs. Uncertainty is inevitable in smart home environments as sensors may read inaccurate data or due to the existence of unobserved variables for privacy reasons. Furthermore, the dynamic nature of the home environment and vague human communications may result in ambiguous, incomplete and inconsistent contextual information, which ultimately lead the smart home system into uncertainty. With this in mind, the second part of this thesis tackle some of the challenges of uncertainty, in particular, uncertainty due to vague human communication and missing information in ambient intelligence environments. For this, we proposed probabilistic multi-agent system architecture for reasoning under uncertainty in smart home environments. The proposed smart architecture is based on the notion of multi-agent systems (MAS) technologies and probabilistic logic programming techniques. Afterwards, we show how the probabilistic reasoning technique enables the agents to reason under uncertainty. Furthermore, we discuss how intelligent agents enhance their decision-making process by exchanging information about missing data or unobservable variables using agent interaction protocols. Besides, when an agent lacks the necessary computational resources to accomplish its reasoning tasks, we illustrate how it can take advantage of the interaction protocols and delegate the tasks for other agents in the system. In general, we demonstrate that the combination of MAS technologies and probabilistic logic programming can help in building a reasoning system, which is capable of performing well under vague inhabitant commands and missing information in a partially observable environment. In the final part of the thesis, we tackled inconsistency issues in SHRSs, by identifying five major sources of inconsistencies in rule-based SHRSs. Specifically, we define, formalize and demonstrate how conflicting, duplicate, overlapping, self-looping and circular rules in SHRSs can be detected using satisfiability modulo theories. The proposed method was validated empirically using rules collected from a real-world SHRS as a model. The experimental results provide compelling evidence for the reliability and effectiveness of the proposed solution. The method presented in this part of the thesis can have multiple applications. First, it can be used to build a static (off-line) rule-based reasoning system verification tool. Second, it can be integrated as a rule validation component of the reasoning system. Besides, with some adaptation, the method can be directly used to verify the consistency properties of reasoning systems in other domains.
Lalli, Francesco. "Elaborazione di un indicatore multi criteria di virtuosita nella gestione dei rifiuti, destinato agli enti locali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6059/.
Full textGiannini, Valentina <1969>. "Knowledge sharing among and within stakeholder groups to cope with climate related risks." Doctoral thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/1170.
Full textSono sviluppati metodi per rendere operativo l’adattamento ai cambiamenti climatici a partire da processi partecipativi per l’armonizzazione del sapere. Il primo paradigma affrontato è la gestione integrata delle risorse idriche, caso studio è il progetto BRAHMATWINN; il secondo paradigma è la gestione del rischio, con un caso studio fondato su un progetto di armonizzazione delle conoscenze in corso in Guatemala. Tre sono i risultati: 1. la tabella integrata degli indicatori, mediante la quale si è stabilita una relazione biunivoca fra risultati della ricerca e necessità degli attori locali; 2. la matrice per l’analisi delle carenze di politiche per il rischio inondazione, in cui sono identificati ritardi nella legislazione e nella sua implementazione; 3. la mappa cognitiva totale, attraverso cui si possono raccogliere ed analizzare le visioni che gli attori locali hanno sul rischio e sulla sua gestione, per identificare e migliorare le sinergie possibili fra istituzioni che si occupano di gestione del rischio.
El, Jazzar Nivin, and Anna-Stina Eriksson. "“Alla säger alltid att jag verkar må så bra på jobbet och jag mår verkligen bra här.” : En kvalitativ studie om friskfaktorer på Borlänge kommun." Thesis, Högskolan Dalarna, Personal och arbetsliv, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34209.
Full textThe purpose of this study was to contribute to a deeper understanding of factors that are crucial for long-term well-being and health from an employee perspective. This by studying what employees in the social sector in Borlänge municipality experience contributes to well-being and health in the workplace. Furthermore, this study intended to give suggestions on how the work with health factors in Borlänge municipality can be developed. To best answer the purpose, a qualitative method was chosen in which the approach for collecting empirical data was semi-structured interviews with long-term healthy employees from the area of personal assistance. The results showed that factors such as supportive leadership, participation, autonomy, positive work climate and work-life balance were common in the respondents work situation, which are factors that has shown to have a positive effect on employees' health. Furthermore, the respondents' long-term well-being and health could also be explained by additional health factors that were identified in their work environment. The respondents described that security due to long work experience and work ethic linked to loyalty were factors that contributed to their well-being. The experience is described as a means of handling various situations that may arise in the work situation as well as stress reducing as it creates a clarity about what expectations are in the work and between colleagues. High work ethic due to loyalty seems to be rooted in a desire to contribute to the benefit of another human by being an important resource in his or her life. All in all, the results show that the foundation for successful environment work with health factors requires security and trust partly between the manager and employees and partly between the employees. Finally, the study's results show that, in certain circumstances, health factors may contribute to new opportunities for promoting work environment work.
Acciarini, Daniel. "Modello di machine learning integrato a tecniche di RTC per la gestione del sistema fognario di Rimini: il caso del bacino Colonnella I." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textESPOSITO, MARIA ANTONIETTA. "Contributo alla pianificazione dell'innovazione nell'impresa edilizia." Doctoral thesis, 1987. http://hdl.handle.net/2158/593343.
Full textFIDUCCIA, ANDREA. "I sistemi di supporto alle decisioni spaziali per la gestione integrata della fascia marino-costiera." Doctoral thesis, 2020. http://hdl.handle.net/11573/1353878.
Full textAcri, Francesca, Renato Sante Olivito, Vittorio Astarita, and Giuseppe Guido. "Sistemi informativi geografici per l’analisi multicriterio nell’ottimizzazione delle prestazioni di una linea di trasporto pubblico locale." Thesis, 2014. http://hdl.handle.net/10955/1203.
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