Essa tese tem como objetivo o desenvolvimento de métricas para a mensuração dos fatores determinantes da competitividade da economia de países. Parte-se de uma noção estrutural e sistêmica da competitividade, baseada nos estudos de autores relacionados à teoria evolucionária do desenvolvimento econômico, para conceituar competitividade nacional como uma capacidade de os países gerarem competências que darão suporte a seu processo competitivo dinâmico. O debate sobre a criação de métricas de competitividade nacional vem sendo travado nas ciências econômicas e de gestão, e indicam a necessidade de incorporar a mensuração de fatores relacionados à dinâmica da competição no mercado internacional e, principalmente, seus determinantes. Dessa forma, esse trabalho se insere no debate sobre a dinâmica da competitividade nacional baseada em competências para a emergência de vantagens competitivas nas economias nacionais e setores industriais. A proposta aqui desenvolvida consiste na construção de um painel de métricas de indicadores organizado em dimensões de fatores que afetam o desenvolvimento de competências nos países. Metodologias de análise estatística multivariada de dados serão utilizadas para a análise dos dados e, por fim, análises comparativas baseadas em correlações canônicas serão feitas para testar sua validade. / This thesis aims to develop metrics to measure the determinants of competitiveness of national economies. It is based on a structural and systemic notion of competitiveness, based on the studies of authors related to the evolutionary theory of economic development, to conceptualize national competitiveness as the capacity of countries to generate capabilities that will support its dynamic competitive process. The debate on the creation of national competitiveness metrics has been caught in fields of economics and management, and indicates the need to incorporate the measurement of factors related to the dynamics of competition in the international market and especially its determinants. Thus, this work is part of the debate on the dynamics of national competitiveness based on capabilities for the emergence of competitive advantages in the domestic and industrial sectors of economies. The proposal developed here involves the construction of a spreadsheet of indicators organized into dimensions of factors that affect the development of capabilities for competitiveness in countries. Multivariate statistical methods are used to analyze the data and finally comparative analysis based on canonical correlations are made to test their validity. s, multivariate statistical analysis.

Este trabalho é um estudo arqueométrico interdisciplinar envolvendo material cerâmico arqueológico da Amazônia Central, proveniente de dois sítios de grandes dimensões, Lago Grande e Osvaldo, na região de confluência dos rios Negro e Solimões. Procurou-se testar a hipótese de uma rede de trocas entre os antigos habitantes desses sítios, focando em trocas materiais e/ou tecnológicas. Essa hipótese tem implicações para teorias de ocupação da Amazônia Central pré-colonial que procuram relativizar o papel das dificuldades ambientais da floresta tropical como fator limitante para a emergência da complexidade social na região. A caracterização físico-química de fragmentos cerâmicos e argilas próximas aos sítios foi realizada por meio de: análise por ativação com nêutrons instrumental (INAA) para determinação da composição química elementar; espectroscopia de ressonância paramagnética eletrônica (EPR) para determinação da temperatura de queima; difração de raios X (XRD) para determinação da composição mineralógica; e datação de cerâmicas por luminescência opticamente estimulada (OSL). Estudos mostraram que a área dos sítios foi ocupada por culturas produtoras das fases cerâmicas Manacapuru e Paredão, da Tradição Borda Incisa, em torno dos séculos V-X d.C. e VII-XII d.C., respectivamente. Os resultados de INAA foram analisados por métodos estatísticos multivariados, que possibilitaram definir dois grupos químicos de cerâmicas para cada sítio, para os quais não se observaram variações significativas na temperatura de queima e composição mineralógica. A partir do cruzamento com dados arqueológicos, a superposição entre pares de grupos foi interpretada como correlata da existência de uma rede de trocas pretérita, embora não tenha sido possível definir se ela teria ocorrido apenas entre Lago Grande e Osvaldo. Pelo contrário, sugeriu-se, pela comparação de dois grupos químicos de cerâmicas, que Lago Grande participava de uma rede mais extensa de trocas. / This thesis is an interdisciplinary archaeometric study involving archaeological ceramic material from two large archaeological sites in Central Amazon, namely Lago Grande and Osvaldo, on the confluence region of Negro and Solimões rivers. It was tested a hypothesis about the existence of an exchange network between the former inhabitants of those sites, focusing on material and/or technological exchange. That hypothesis has implications for archaeological theories of human occupation of the pre-colonial Central Amazon, which try to relativise the role of ecological difficulties of the tropical forest as a limiting factor for the emergence of social complexity in the region. The physical-chemical characterization of potsherds and clay samples near the sites was carried out by: instrumental neutron activation analysis (INAA) to determine the elemental chemical composition; electron paramagnetic resonance (EPR) to determine the firing temperature; X-ray diffraction (XRD) to determine the mineralogical composition; and dating by optically stimulated luminescence (OSL). Previous studies showed that Osvaldo and Lago Grande were occupied by people which produced pottery classified in the Manacapuru and Paredão phases, subclasses of the Incised Rim Tradition, around the 5-10th and 7-12th centuries BC, respectively. INAA results were analyzed by multivariate statistical methods, whereby two chemical groups of pottery were defined for each archaeological site. Significant variation in firing temperatures and mineralogical composition were not identified for such groups. By integration of the results with archaeological data, the superposition between pairs of chemical groups was interpreted as a correlate of an ancient exchange network, although it was not possible to define if it existed exclusively between Lago Grande and Osvaldo. On the contrary, it was suggested that Lago Grande participated in a more extensive exchange network by comparison of two chemical groups.

Este trabalho é um estudo arqueométrico interdisciplinar envolvendo material cerâmico arqueológico da Amazônia Central, proveniente de dois sítios de grandes dimensões, Lago Grande e Osvaldo, na região de confluência dos rios Negro e Solimões. Procurou-se testar a hipótese de uma rede de trocas entre os antigos habitantes desses sítios, focando em trocas materiais e/ou tecnológicas. Essa hipótese tem implicações para teorias de ocupação da Amazônia Central pré-colonial que procuram relativizar o papel das dificuldades ambientais da floresta tropical como fator limitante para a emergência da complexidade social na região. A caracterização físico-química de fragmentos cerâmicos e argilas próximas aos sítios foi realizada por meio de: análise por ativação com nêutrons instrumental (INAA) para determinação da composição química elementar; espectroscopia de ressonância paramagnética eletrônica (EPR) para determinação da temperatura de queima; difração de raios X (XRD) para determinação da composição mineralógica; e datação de cerâmicas por luminescência opticamente estimulada (OSL). Estudos mostraram que a área dos sítios foi ocupada por culturas produtoras das fases cerâmicas Manacapuru e Paredão, da Tradição Borda Incisa, em torno dos séculos V-X d.C. e VII-XII d.C., respectivamente. Os resultados de INAA foram analisados por métodos estatísticos multivariados, que possibilitaram definir dois grupos químicos de cerâmicas para cada sítio, para os quais não se observaram variações significativas na temperatura de queima e composição mineralógica. A partir do cruzamento com dados arqueológicos, a superposição entre pares de grupos foi interpretada como correlata da existência de uma rede de trocas pretérita, embora não tenha sido possível definir se ela teria ocorrido apenas entre Lago Grande e Osvaldo. Pelo contrário, sugeriu-se, pela comparação de dois grupos químicos de cerâmicas, que Lago Grande participava de uma rede mais extensa de trocas. / This thesis is an interdisciplinary archaeometric study involving archaeological ceramic material from two large archaeological sites in Central Amazon, namely Lago Grande and Osvaldo, on the confluence region of Negro and Solimões rivers. It was tested a hypothesis about the existence of an exchange network between the former inhabitants of those sites, focusing on material and/or technological exchange. That hypothesis has implications for archaeological theories of human occupation of the pre-colonial Central Amazon, which try to relativise the role of ecological difficulties of the tropical forest as a limiting factor for the emergence of social complexity in the region. The physical-chemical characterization of potsherds and clay samples near the sites was carried out by: instrumental neutron activation analysis (INAA) to determine the elemental chemical composition; electron paramagnetic resonance (EPR) to determine the firing temperature; X-ray diffraction (XRD) to determine the mineralogical composition; and dating by optically stimulated luminescence (OSL). Previous studies showed that Osvaldo and Lago Grande were occupied by people which produced pottery classified in the Manacapuru and Paredão phases, subclasses of the Incised Rim Tradition, around the 5-10th and 7-12th centuries BC, respectively. INAA results were analyzed by multivariate statistical methods, whereby two chemical groups of pottery were defined for each archaeological site. Significant variation in firing temperatures and mineralogical composition were not identified for such groups. By integration of the results with archaeological data, the superposition between pairs of chemical groups was interpreted as a correlate of an ancient exchange network, although it was not possible to define if it existed exclusively between Lago Grande and Osvaldo. On the contrary, it was suggested that Lago Grande participated in a more extensive exchange network by comparison of two chemical groups.

QBEST, a novel statistical method, can be applied to the problem of estimating the No Observed Adverse Effect Level (NOAEL or QNOAEL) of a New Molecular Entity (NME) in order to anticipate a safe starting dose for beginning clinical trials. The NOAEL from QBEST (called the QNOAEL) can be calculated using multiple disparate studies in the literature and/or from the lab. The QNOAEL is similar in some ways to the Benchmark Dose Method (BMD) used widely in toxicological research, but is superior to the BMD in some ways. The QNOAEL simulation generates an intuitive curve that is comparable to the dose-response curve. The NOAEL of ellagic acid (EA) is calculated for clinical trials as a component therapeutic agent (in BSN476) for treating Chikungunya infections. Results are used in a simulation based on nonparametric cluster analysis methods to calculate confidence levels on the difference between the Effect and the No Effect studies. In order to evaluate the statistical power of the algorithm, simulated data clusters with known parameters are fed into the algorithm in a separate study, testing the algorithm’s accuracy and precision “Around the Compass Rose” at known coordinates along the circumference of a multidimensional data cluster. The specific aims of the proposed study are to evaluate the accuracy and precision of the QBEST Simulation and QNOAEL compared to the Benchmark Dose Method, and to calculate the QNOAEL of EA for BSN476 Drug Development.

Made available in DSpace on 2016-12-23T13:51:54Z (GMT). No. of bitstreams: 1 Daniela Vantil Agrizzi.pdf: 2677028 bytes, checksum: 1e5aaf2da2a89c65f2268ae294932188 (MD5) Previous issue date: 2012-08-17 / Este trabalho teve como objetivo avaliar a qualidade da água de nascentes no assentamento Paraíso, localizado no município de Alegre, ES. A pecuária leiteira é a principal atividade econômica desenvolvida na região e, em 2006, o INCRA, junto aos assentados, iniciou um trabalho de recomposição das APP s das nascentes que resultou atualmente em diferentes tratamentos ao redor dos olhos d água, de acordo com os cuidados e expectativas de cada produtor. Das 25 nascentes existentes, oito foram selecionadas: N1, em meio à floresta remanescente de Mata Atlântica; N2, N3, N4, N5, N6 e N7 estão em recuperação, sendo que as nascentes estão cercadas, porém, variando no tamanho da área cercada, na topografia, no estágio de recuperação alcançado e no tipo de vegetação existente; e a N8, sem cerca e com acesso livre dos animais de criação. Três amostras de água foram coletadas em cada nascente entre novembro/2011 e março/2012 e analisados 17 parâmetros: coliformes totais e termotolerantes, pH, alcalinidade, oxigênio dissolvido (OD), demanda bioquímica de oxigênio (DBO), nitrogênio total, fósforo total, ferro, cálcio, magnésio, temperatura, turbidez, condutividade elétrica (CE) e sólidos suspensos, dissolvidos e totais. Os resultados foram comparados com os padrões normativos da legislação para potabilidade e para qualidade ambiental da água, tendo-se calculado o Índice de Qualidade de Água seguindo metodologia adaptada da Companhia Ambiental do Estado de São Paulo (CETESB), na qual foram retirados os parâmetros pH e OD, por terem sidos considerados não importantes para o cálculo de qualidade para essas nascentes. Técnicas de análise estatística multivariada foram utilizadas para facilitar a interpretação do grande número de parâmetros, por meio da análise de componentes principais (ACP) e análise de agrupamento (AA). A partir da ACP, selecionaram-se dois componentes que explicaram 67,60% da variância total dos dados, e os parâmetros que mais explicam as variações entre as nascentes são: coliformes termotolerantes e totais, DBO, CE, alcalinidade, turbidez, sólidos suspensos totais e temperatura. Na AA três grupos foram formados, distinguindo-se o grupo I, formado pelas nascentes cercadas, o grupo II, composto pela N1, e o grupo III, composto pela N8. O grupo I apresentou a melhor qualidade de água e o grupo III a pior, revelando a importância da proteção de nascentes. A qualidade da água em meio à floresta foi pouco inferior às do grupo I por ter tido mais contato com contaminantes microbiológicos (excrementos de animais silvestres) e por ter recebido maior aporte de matéria orgânica e sedimentos que aquelas protegidas pelo adensamento de gramíneas forrageiras / The objective of this study was to evaluate the water quality of springs in the Paraíso settlement, located in city of Alegre,ES. The dairy production is the main economic activity developed in the region and in 2006, the National Institute of Colonization and Land Reform (INCRA), joined the settlers, started a project of reconstruction of Mandatory Preservation Areas (APP S) of the springs which resulted in different treatments around the springs, according to the treatment and expectations of each producer. Out of 25 existing springs, eight were selected: N1, in an Atlantic Forest remnant; N2,N3,N4,N5,N6,N7 are in recovery, being that the springs are fenced, however, ranging in size of the fenced area, in topography, recovery stages reached and type of existing vegetation; and the N8 wasn t fenced and access the farm animals had free access. Three samples of water were collected in each spring between November/2011 and March/2012 and 17 parameters were analyzed: total and thermotolerant coliforms, pH, alkalinity, dissolved oxygen (DO), biochemical oxygen demand (BOD), total nitrogen, total phosphorus, iron, calcium, magnesium, temperature, turbidity, electrical conductivity (EC) and dissolved suspended total solid. The results were compared to the normative standards of legislation for environmental quality and portability of water and was calculated the Water Quality Index following the method adapted from a Environmental Company of São Paulo (CETESB), in which the parameters pH and DO were taken out because they werent consider important for the quality calculation of these springs. Multivariate statistical analysis technique was utilized to facilitate the interpretation of the large number of parameters thru the Principal Component Analysis (PCA) and Cluster Analysis (CA). Based on the ACP, two components were selected which explained 67.60% of total variance of the data and the parameters best explains the variation between the springs are: total and thermotolerant coliforms, BOD, EC, alkalinity, the turbidity, suspended total solids and temperature. In the CA, three groups were formed, distinguishing group I, formed by the fenced springs, group II, consisting N1 and group III consisting N8. Group I presented the best water quality and group III the worst, revealing the importance of the protection of springs. The water quality in the forest was slightly lower than group I to have had more contact with microbiological contaminants (excrement of wild animals) and to have received greater input of organic matter and sediments than those protected by the density of forage grasses

Essa tese tem como objetivo o desenvolvimento de métricas para a mensuração dos fatores determinantes da competitividade da economia de países. Parte-se de uma noção estrutural e sistêmica da competitividade, baseada nos estudos de autores relacionados à teoria evolucionária do desenvolvimento econômico, para conceituar competitividade nacional como uma capacidade de os países gerarem competências que darão suporte a seu processo competitivo dinâmico. O debate sobre a criação de métricas de competitividade nacional vem sendo travado nas ciências econômicas e de gestão, e indicam a necessidade de incorporar a mensuração de fatores relacionados à dinâmica da competição no mercado internacional e, principalmente, seus determinantes. Dessa forma, esse trabalho se insere no debate sobre a dinâmica da competitividade nacional baseada em competências para a emergência de vantagens competitivas nas economias nacionais e setores industriais. A proposta aqui desenvolvida consiste na construção de um painel de métricas de indicadores organizado em dimensões de fatores que afetam o desenvolvimento de competências nos países. Metodologias de análise estatística multivariada de dados serão utilizadas para a análise dos dados e, por fim, análises comparativas baseadas em correlações canônicas serão feitas para testar sua validade. / This thesis aims to develop metrics to measure the determinants of competitiveness of national economies. It is based on a structural and systemic notion of competitiveness, based on the studies of authors related to the evolutionary theory of economic development, to conceptualize national competitiveness as the capacity of countries to generate capabilities that will support its dynamic competitive process. The debate on the creation of national competitiveness metrics has been caught in fields of economics and management, and indicates the need to incorporate the measurement of factors related to the dynamics of competition in the international market and especially its determinants. Thus, this work is part of the debate on the dynamics of national competitiveness based on capabilities for the emergence of competitive advantages in the domestic and industrial sectors of economies. The proposal developed here involves the construction of a spreadsheet of indicators organized into dimensions of factors that affect the development of capabilities for competitiveness in countries. Multivariate statistical methods are used to analyze the data and finally comparative analysis based on canonical correlations are made to test their validity. s, multivariate statistical analysis.

Water quality monitoring (WQM) is crucial for managing and protecting riverine ecosystems. There has been a plethora of methods to select the monitoring sites, water quality parameters (WQPs), and monitoring frequencies; however, no standard method or strategy has been accepted for the river systems. Water managers have faced difficulties in adopting appropriate WQM network design methods to their local boundary conditions, monitoring objectives, monitoring costs, and legal regulations. With the elevated cost and time consumption of monitoring, approaches to evaluate and redesign the monitoring networks based on monitoring goal achievements are crucial for water managers. Hence, the overall aim of this thesis is to develop and employ a reliable yet straightforward approach to optimise and quantify the effectiveness of the WQM network in rivers. The objectives are to (i) identify the commonly used methods and the boundary conditions to apply these methods in assessing and designing of WQM networks in rivers; (ii) optimise river WQM network design based on compliance criteria; (iii) optimise river WQM network design based on the trade-offs between information provided by the monitoring network versus the monitoring expenses. A systematic review of the commonly used design methods and their resulting monitoring setups in Chapter 2 shows that multivariate statistical analysis (MVA) is a promising tool to contract the number of monitoring sites and water quality parameters. Most of the reported studies often overlook small streams and trace pollutants such as heavy metals and organic microcontaminants in the analysis. Data availability and expertise’s judgments seem to affect the selection of design methods rather than river size and the extent of the monitoring networks. The commonly found statistical methods are applied to the case study of the Freiberger Mulde (FM) river basin in eastern Germany to optimise its current monitoring network. Chapter 3 dedicates to redesign the monitoring network for compliance monitoring purposes. In Chapter 3, 82 non-biological parameters are initially screened and analysed for their violations to the environmental quality standards. The subsequent result suggests that polycyclic aromatic hydrocarbons, heavy metals, and phosphorus have been the abundant stressors that caused more than 50% of the streams in the FM river basin failing to achieve good status. The proposed approach using hierarchical cluster analysis and weighted violation factor from 22 relevant WQPs allows a reduction of 42 monitoring sites from the current 158 sites. The Mann-Kendall trend test recommends an increase in monitoring frequency of the priority substances by 12 times per annual, and a decrease in the number of sampling events for metals and general physicochemical parameters by quarterly. Overall, the results suggest that the authorities of the Saxony region should develop proper management measures targeting heavy metals and organic micropollutants to be able to achieve good WQ status by 2027 at the latest. In Chapter 4, regularly monitoring parameters with less than 15% of censored data are analysed. A combination of principal component analysis and Pearson’s correlation analysis allows the identification of 14 critical parameters that are responsible for explaining 75.1% of data variability in the FM river basin. Weathering processes, historical mining, wastewater discharges, and seasonality have been the leading causes of water quality variability. Both sampling locations and periods are observed, with the resulting mineral contents vary between locations, and the organic and oxygen content differs depending on the time period that was monitored. The monitoring costs are estimated for one monitoring event and based on laboratory, transportation, and sampling costs. The results show that under the current monitoring-intense conditions, preserving monitoring variables rather than sites seems to be more economical than the opposite practice. The current study provides and employs two statistical approaches to optimise the WQM network for the FM river basin in eastern Germany. The proposed methods can be of interests to other river basins where the historical data are available, and the monitoring costs become a constraint. The presented research also raises some concerns for future research regarding the applications of statistical methods to optimise WQM networks, which are presented in Chapter 5.

No description available.

Despite some great success, many human diseases cannot be effectively treated, prevented or cured, yet. Moreover, prescribed drugs are often not very efficient and cause undesired side effects. Hence, there is a need to investigate the molecular basis of diseases and adverse drug reactions in more detail. For this purpose, relevant biomedical data needs to be gathered, integrated and analysed in a meaningful way. In this regard, we have developed novel integrative analysis approaches based on both perspectives, classical multivariate statistics and systems biology. A novel multilevel statistical method has been developed for exploiting molecular and pharmacological information for a set of drugs in order to investigate undesired side effects. Systems biology approaches have been used to study the genetic basis of human diseases at a global scale. For this purpose, we have developed an integrated gene-disease association database and tools for user-friendly access and analysis. We showed that modularity applies for mendelian, complex and environmental diseases and identified disease-related core biological processes. We have constructed a workflow to investigate adverse drug reactions using our gene-disease association database. A detailed study of currently available pathway data has been performed to evaluate its applicability to build network models. Finally, a strategy to integrate information about sequence variations with biological pathways has been implemented to study the effect of the sequence variations onto biological processes. In summary, the developed methods are of immense practical value for other biomedical researchers and can aid to improve the understanding of the molecular basis of diseases and adverse drug reactions.A pesar de que existen tratamientos eficaces para las enfermedades, no hay todavía una cura o un tratamiento efectivo para muchas de ellas. Asimismo los medicamentos pueden ser ineficaces o causar efectos secundarios indeseables. Por lo tanto, es necesario investigar en profundidad las bases moleculares de las enfermedades y de los efectos secundarios de los medicamentos. Para ello, es necesario identificar y analizar de forma integrada los datos biomédicos relevantes. En este sentido, hemos desarrollado nuevos métodos de análisis e integración de datos biomédicos que van desde el análisis estadístico multivariante a la biología de sistemas. En primer lugar, hemos desarrollado un nuevo método estadístico multinivel para la explotación de la información molecular y farmacológica de un conjunto de drogas a fin de investigar efectos secundarios no deseados. Luego, hemos usado métodos de biología de sistemas para estudiar las bases genéticas de enfermedades humanas a escala global. Para ello, hemos integrado en una base de datos asociaciones entre genes y enfermedades y hemos desarrollado herramientas para el fácil acceso y análisis de los datos. Mostramos que las enfermedades mendelianas, complejas y ambientales presentan modularidad e identificamos los procesos biológicos relacionados con dichas enfermedades. Hemos construido una herramienta para investigar las reacciones adversas a los medicamentos basada en nuestra base de datos de asociaciones entre genes y enfermedades. Realizamos un estudio detallado de los datos disponibles sobre los procesos biológicos para evaluar su aplicabilidad en la construcción de modelos dinámicos. Por último, desarrollamos una estrategia para integrar la información sobre las variaciones de secuencia de genes con los procesos biológicos para estudiar el efecto de dichas variaciones en los procesos biológicos. En resumen, los métodos presentados en esta tesis constituyen una herramienta valiosa para otros investigadores y pueden ayudar a mejorar la comprensión de las bases moleculares de las enfermedades y de las reacciones adversas a los medicamentos.

L’industrie microélectronique est un domaine compétitif, confronté de manière permanente à plusieurs défis. Pour évaluer les étapes de fabrication, des tests de qualité sont appliqués. Ces tests étant discontinus, une défaillance des équipements peut causer une dégradation de la qualité du produit. Des alarmes peuvent être déclenchées pour indiquer des problèmes. D’autre part, on dispose d’une grande quantité de données des équipements obtenues à partir de capteurs. Une gestion des alarmes, une interpolation de mesures de qualité et une réduction de données équipements sont nécessaires. Il s’agit dans notre travail à développer des méthodes génériques d’analyse multi-variée permettant d’agréger toutes les informations disponibles sur les équipements pour prédire la qualité de produit en prenant en compte la qualité des différentes étapes de fabrication. En se basant sur le principe de reconnaissance de formes, nous avons proposé une approche pour prédire le nombre de produits restant à produire avant les pertes de performance liée aux spécifications clients en fonction des indices de santé des équipement. Notre approche permet aussi d'isoler les équipements responsables de dégradation. En plus, une méthodologie à base de régression régularisée est développée pour prédire la qualité du produit tout en prenant en compte les relations de corrélations et de dépendance existantes dans le processus. Un modèle pour la gestion des alarmes est construit où des indices de criticité et de similarité sont proposés. Les données alarmes sont ensuite utilisées pour prédire le rejet de produits. Une application sur des données industrielles provenant de STMicroelectronics est fournie. / The microelectronics industry is a highly competitive field, constantly confronted with several challenges. To evaluate the manufacturing steps, quality tests are applied during and at the end of production. As these tests are discontinuous, a defect or failure of the equipment can cause a deterioration in the product quality and a loss in the manufacturing Yield. Alarms are setting off to indicate problems, but periodic alarms can be triggered resulting in alarm flows. On the other hand, a large quantity of data of the equipment obtained from sensors is available. Alarm management, interpolation of quality measurements and reduction of correlated equipment data are required. We aim in our work to develop generic methods of multi-variate analysis allowing to aggregate all the available information (equipment health indicators, alarms) to predict the product quality taking into account the quality of the various manufacturing steps. Based on the pattern recognition principle, data of the degradation trajectory are compared with health indices for failing equipment. The objective is to predict the remaining number of products before loss of the performance related to customer specifications, and the isolation of equipment responsible for degradation. In addition, regression- ased methods are used to predict the product quality while taking into account the existing correlation and the dependency relationships in the process. A model for the alarm management is constructed where criticality and similarity indices are proposed. Then, alarm data are used to predict the product scrap. An application to industrial data from STMicroelectronics is provided.