897 resultados para Second-order decision analysis


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Ocean Drilling Program Legs 127 and 128 in the Japan Sea have revealed the existence of numerous dark-light rhythms of remarkable consistency in sediments of late Miocene, latest Pliocene, and especially Pleistocene age. Light-colored units within these rhythms are massive or bioturbated, consist of diatomaceous clays, silty clays, or nannofossil-rich clays, and are generally poor in organic matter. Dark-colored units are homogeneous, laminated, or thinly bedded and include substantial amounts of biogenic material such as well-preserved diatoms, planktonic foraminifers, calcareous nannofossils, and organic matter (maximum 7.4 wt%). The dark-light rhythms show a similar geometrical pattern on three different scales: First-order rhythms consist of a cluster dominated by dark-colored units followed by a cluster dominated by light-colored units (3-5 m). Spectral analysis of a gray-value time series suggests that the frequencies of the first-order rhythms in sediments of latest Pliocene and Pleistocene age correlate to the obliquity and the eccentricity cycles. The second-order dark-light rhythms include a light and a dark-colored unit (10-160 cm). They were formed in time spans of several hundred to several ten thousand years, with variance centering around 10,500 yr. This frequency may correspond to half the precessional cycle. Third-order rhythms appear as laminated or thinly bedded dark-light couplets (2-15 mm) within the dark-colored units of the second-order rhythms and may represent annual frequencies. In interpreting the rhythms, we have to take into account that (1) the occurrence of the first- and second-order rhythms is not necessarily restricted to glacial or interglacial periods as is shown by preliminary stable-isotope analysis and comparison with the published d18O record; (2) they appear to be Milankovitch-controlled; and (3) a significant number of the rhythms are sharply bounded. The origin of the dark-light rhythms is probably related to variations in monsoonal activity in the Japan Sea, which show annual frequencies, but also operates in phase with the orbital cycles.

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The selection of metrics for ecosystem restoration programs is critical for improving the quality of monitoring programs and characterizing project success. Moreover it is oftentimes very difficult to balance the importance of multiple ecological, social, and economical metrics. Metric selection process is a complex and must simultaneously take into account monitoring data, environmental models, socio-economic considerations, and stakeholder interests. We propose multicriteria decision analysis (MCDA) methods, broadly defined, for the selection of optimal sets of metrics to enhance evaluation of ecosystem restoration alternatives. Two MCDA methods, a multiattribute utility analysis (MAUT), and a probabilistic multicriteria acceptability analysis (ProMAA), are applied and compared for a hypothetical case study of a river restoration involving multiple stakeholders. Overall, the MCDA results in a systematic, unbiased, and transparent solution, informing restoration alternatives evaluation. The two methods provide comparable results in terms of selected metrics. However, because ProMAA can consider probability distributions for weights and utility values of metrics for each criteria, it is suggested as the best option if data uncertainty is high. Despite the increase in complexity in the metric selection process, MCDA improves upon the current ad-hoc decision practice based on the consultations with stakeholders and experts, and encourages transparent and quantitative aggregation of data and judgement, increasing the transparency of decision making in restoration projects. We believe that MCDA can enhance the overall sustainability of ecosystem by enhancing both ecological and societal needs.

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The implementation of boundary conditions is one of the points where the SPH methodology still has some work to do. The aim of the present work is to provide an in-depth analysis of the most representative mirroring techniques used in SPH to enforce boundary conditions (BC) along solid profiles. We specifically refer to dummy particles, ghost particles, and Takeda et al. [1] boundary integrals. A Pouseuille flow has been used as a example to gradually evaluate the accuracy of the different implementations. Our goal is to test the behavior of the second-order differential operator with the proposed boundary extensions when the smoothing length h and other dicretization parameters as dx/h tend simultaneously to zero. First, using a smoothed continuous approximation of the unidirectional Pouseuille problem, the evolution of the velocity profile has been studied focusing on the values of the velocity and the viscous shear at the boundaries, where the exact solution should be approximated as h decreases. Second, to evaluate the impact of the discretization of the problem, an Eulerian SPH discrete version of the former problem has been implemented and similar results have been monitored. Finally, for the sake of completeness, a 2D Lagrangian SPH implementation of the problem has been also studied to compare the consequences of the particle movement

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Stereo video techniques are effective for estimating the space–time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is richer than that of time series data retrieved from point wave probes. We present an application of the Wave Acquisition Stereo System (WASS) for the analysis of offshore video measurements of gravity waves in the Northern Adriatic Sea and near the southern seashore of the Crimean peninsula, in the Black Sea. We use classical epipolar techniques to reconstruct the sea surface from the stereo pairs sequentially in time, viz. a sequence of spatial snapshots. We also present a variational approach that exploits the entire data image set providing a global space–time imaging of the sea surface, viz. simultaneous reconstruction of several spatial snapshots of the surface in order to guarantee continuity of the sea surface both in space and time. Analysis of the WASS measurements show that the sea surface can be accurately estimated in space and time together, yielding associated directional spectra and wave statistics at a point in time that agrees well with probabilistic models. In particular, WASS stereo imaging is able to capture typical features of the wave surface, especially the crest-to-trough asymmetry due to second order nonlinearities, and the observed shape of large waves are fairly described by theoretical models based on the theory of quasi-determinism (Boccotti, 2000). Further, we investigate space–time extremes of the observed stationary sea states, viz. the largest surface wave heights expected over a given area during the sea state duration. The WASS analysis provides the first experimental proof that a space–time extreme is generally larger than that observed in time via point measurements, in agreement with the predictions based on stochastic theories for global maxima of Gaussian fields.

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In the mid-long-term after a nuclear accident, the contamination of drinking water sources, fish and other aquatic foodstuffs, irrigation supplies and people?s exposure during recreational activities may create considerable public concern, even though dose assessment may in certain situations indicate lesser importance than for other sources, as clearly experienced in the aftermath of past accidents. In such circumstances there are a number of available countermeasure options, ranging from specific chemical treatment of lakes to bans on fish ingestion or on the use of water for crop irrigation. The potential actions can be broadly grouped into four main categories, chemical, biological, physical and social. In some cases a combination of actions may be the optimal strategy and a decision support system (DSS) like MOIRA-PLUS can be of great help to optimise a decision. A further option is of course not to take any remedial actions, although this may also have significant socio-economic repercussions which should be adequately evaluated. MOIRA-PLUS is designed to allow for a reliable assessment of the long-term evolution of the radiological situation and of feasible alternative rehabilitation strategies, including an objective evaluation of their social, economic and ecological impacts in a rational and comprehensive manner. MOIRA-PLUS also features a decision analysis methodology, making use of multi-attribute analysis, which can take into account the preferences and needs of different types of stakeholders. The main functions and elements of the system are described summarily. Also the conclusions from end-user?s experiences with the system are discussed, including exercises involving the organizations responsible for emergency management and the affected services, as well as different local and regional stakeholders. MOIRAPLUS has proven to be a mature system, user friendly and relatively easy to set up. It can help to better decisionmaking by enabling a realistic evaluation of the complete impacts of possible recovery strategies. Also, the interaction with stakeholders has allowed identifying improvements of the system that have been recently implemented.

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La inmensa mayoría de los flujos de relevancia ingenieril permanecen sin estudiar en el marco de la teoría de estabilidad global. Esto es debido a dos razones fundamentalmente, las dificultades asociadas con el análisis de los flujos turbulentos y los inmensos recursos computacionales requeridos para obtener la solución del problema de autovalores asociado al análisis de inestabilidad de flujos tridimensionales, también conocido como problema TriGlobal. En esta tesis se aborda el problema asociado con la tridimensionalidad. Se ha desarrollado una metodología general para obtener soluciones de problemas de análisis modal de las inestabilidades lineales globales mediante el acoplamiento de métodos de evolución temporal, desarrollados en este trabajo, con códigos de mecánica de fluidos computacional de segundo orden, utilizados de forma general en la industria. Esta metodología consiste en la resolución del problema de autovalores asociado al análisis de inestabilidad mediante métodos de proyección en subespacios de Krylov, con la particularidad de que dichos subespacios son generados por medio de la integración temporal de un vector inicial usando cualquier código de mecánica de fluidos computacional. Se han elegido tres problemas desafiantes en función de la exigencia de recursos computacionales necesarios y de la complejidad física para la demostración de la presente metodología: (i) el flujo en el interior de una cavidad tridimensional impulsada por una de sus tapas, (ii) el flujo alrededor de un cilindro equipado con aletas helicoidales a lo largo su envergadura y (iii) el flujo a través de una cavidad abierta tridimensinal en ausencia de homogeneidades espaciales. Para la validación de la tecnología se ha obtenido la solución del problema TriGlobal asociado al flujo en la cavidad tridimensional, utilizando el método de evolución temporal desarrollado acoplado con los operadores numéricos de flujo incompresible del código CFD OpenFOAM (código libre). Los resultados obtenidos coinciden plentamente con la literatura. La aplicación de esta metodología al estudio de inestabilidades globales de flujos abiertos tridimensionales ha proporcionado por primera vez, información sobre la transición tridimensional de estos flujos. Además, la metodología ha sido adaptada para resolver problemas adjuntos TriGlobales, permitiendo el control de flujo basado en modificaciones de las inestabilidades globales. Finalmente, se ha demostrado que la cantidad moderada de los recursos computacionales requeridos para la solución del problema de valor propio TriGlobal usando este método numérico, junto a su versatilidad al poder acoplarse a cualquier código aerodinámico, permite la realización de análisis de inestabilidad global y control de flujos complejos de relevancia industrial. Abstract Most flows of engineering relevance still remain unexplored in a global instability theory context for two reasons. First, because of the difficulties associated with the analysis of turbulent flows and, second, for the formidable computational resources required for the solution of the eigenvalue problem associated with the instability analysis of three-dimensional base flows, also known as TriGlobal problem. In this thesis, the problem associated with the three-dimensionality is addressed by means of the development of a general approach to the solution of large-scale global linear instability analysis by coupling a time-stepping approach with second order aerodynamic codes employed in industry. Three challenging flows in the terms of required computational resources and physical complexity have been chosen for demonstration of the present methodology; (i) the flow inside a wall-bounded three-dimensional lid-driven cavity, (ii) the flow past a cylinder fitted with helical strakes and (iii) the flow over a inhomogeneous three-dimensional open cavity. Results in excellent agreement with the literature have been obtained for the three-dimensional lid-driven cavity by using this methodology coupled with the incompressible solver of the open-source toolbox OpenFOAM®, which has served as validation. Moreover, significant physical insight of the instability of three-dimensional open flows has been gained through the application of the present time-stepping methodology to the other two cases. In addition, modifications to the present approach have been proposed in order to perform adjoint instability analysis of three-dimensional base flows and flow control; validation and TriGlobal examples are presented. Finally, it has been demonstrated that the moderate amount of computational resources required for the solution of the TriGlobal eigenvalue problem using this method enables the performance of instability analysis and control of flows of industrial relevance.

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En los últimos años la externalización de TI ha ganado mucha importancia en el mercado y, por ejemplo, el mercado externalización de servicios de TI sigue creciendo cada año. Ahora más que nunca, las organizaciones son cada vez más los compradores de las capacidades necesarias mediante la obtención de productos y servicios de los proveedores, desarrollando cada vez menos estas capacidades dentro de la empresa. La selección de proveedores de TI es un problema de decisión complejo. Los gerentes que enfrentan una decisión sobre la selección de proveedores de TI tienen dificultades en la elaboración de lo que hay que pensar, además en sus discursos. También de acuerdo con un estudio del SEI (Software Engineering Institute) [40], del 20 al 25 por ciento de los grandes proyectos de adquisición de TI fracasan en dos años y el 50 por ciento fracasan dentro de cinco años. La mala gestión, la mala definición de requisitos, la falta de evaluaciones exhaustivas, que pueden ser utilizadas para llegar a los mejores candidatos para la contratación externa, la selección de proveedores y los procesos de contratación inadecuados, la insuficiencia de procedimientos de selección tecnológicos, y los cambios de requisitos no controlados son factores que contribuyen al fracaso del proyecto. La mayoría de los fracasos podrían evitarse si el cliente aprendiese a comprender los problemas de decisión, hacer un mejor análisis de decisiones, y el buen juicio. El objetivo principal de este trabajo es el desarrollo de un modelo de decisión para la selección de proveedores de TI que tratará de reducir la cantidad de fracasos observados en las relaciones entre el cliente y el proveedor. La mayor parte de estos fracasos son causados por una mala selección, por parte del cliente, del proveedor. Además de estos problemas mostrados anteriormente, la motivación para crear este trabajo es la inexistencia de cualquier modelo de decisión basado en un multi modelo (mezcla de modelos adquisición y métodos de decisión) para el problema de la selección de proveedores de TI. En el caso de estudio, nueve empresas españolas fueron analizadas de acuerdo con el modelo de decisión para la selección de proveedores de TI desarrollado en este trabajo. Dos softwares se utilizaron en este estudio de caso: Expert Choice, y D-Sight. ABSTRACT In the past few years IT outsourcing has gained a lot of importance in the market and, for example, the IT services outsourcing market is still growing every year. Now more than ever, organizations are increasingly becoming acquirers of needed capabilities by obtaining products and services from suppliers and developing less and less of these capabilities in-house. IT supplier selection is a complex and opaque decision problem. Managers facing a decision about IT supplier selection have difficulty in framing what needs to be thought about further in their discourses. Also according to a study from SEI (Software Engineering Institute) [40], 20 to 25 percent of large information technology (IT) acquisition projects fail within two years and 50 percent fail within five years. Mismanagement, poor requirements definition, lack of comprehensive evaluations, which can be used to come up with the best candidates for outsourcing, inadequate supplier selection and contracting processes, insufficient technology selection procedures, and uncontrolled requirements changes are factors that contribute to project failure. The majority of project failures could be avoided if the acquirer learns how to understand the decision problems, make better decision analysis, and good judgment. The main objective of this work is the development of a decision model for IT supplier selection that will try to decrease the amount of failures seen in the relationships between the client-supplier. Most of these failures are caused by a not well selection of the supplier. Besides these problems showed above, the motivation to create this work is the inexistence of any decision model based on multi model (mixture of acquisition models and decision methods) for the problem of IT supplier selection. In the case study, nine different Spanish companies were analyzed based on the IT supplier selection decision model developed in this work. Two software products were used in this case study, Expert Choice and D-Sight.

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Fission product yields are fundamental parameters for several nuclear engineering calculations and in particular for burn-up/activation problems. The impact of their uncertainties was widely studied in the past and valuations were released, although still incomplete. Recently, the nuclear community expressed the need for full fission yield covariance matrices to produce inventory calculation results that take into account the complete uncertainty data. In this work, we studied and applied a Bayesian/generalised least-squares method for covariance generation, and compared the generated uncertainties to the original data stored in the JEFF-3.1.2 library. Then, we focused on the effect of fission yield covariance information on fission pulse decay heat results for thermal fission of 235U. Calculations were carried out using different codes (ACAB and ALEPH-2) after introducing the new covariance values. Results were compared with those obtained with the uncertainty data currently provided by the library. The uncertainty quantification was performed with the Monte Carlo sampling technique. Indeed, correlations between fission yields strongly affect the statistics of decay heat. Introduction Nowadays, any engineering calculation performed in the nuclear field should be accompanied by an uncertainty analysis. In such an analysis, different sources of uncertainties are taken into account. Works such as those performed under the UAM project (Ivanov, et al., 2013) treat nuclear data as a source of uncertainty, in particular cross-section data for which uncertainties given in the form of covariance matrices are already provided in the major nuclear data libraries. Meanwhile, fission yield uncertainties were often neglected or treated shallowly, because their effects were considered of second order compared to cross-sections (Garcia-Herranz, et al., 2010). However, the Working Party on International Nuclear Data Evaluation Co-operation (WPEC)

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Background Magnetoencephalography (MEG) provides a direct measure of brain activity with high combined spatiotemporal resolution. Preprocessing is necessary to reduce contributions from environmental interference and biological noise. New method The effect on the signal-to-noise ratio of different preprocessing techniques is evaluated. The signal-to-noise ratio (SNR) was defined as the ratio between the mean signal amplitude (evoked field) and the standard error of the mean over trials. Results Recordings from 26 subjects obtained during and event-related visual paradigm with an Elekta MEG scanner were employed. Two methods were considered as first-step noise reduction: Signal Space Separation and temporal Signal Space Separation, which decompose the signal into components with origin inside and outside the head. Both algorithm increased the SNR by approximately 100%. Epoch-based methods, aimed at identifying and rejecting epochs containing eye blinks, muscular artifacts and sensor jumps provided an SNR improvement of 5–10%. Decomposition methods evaluated were independent component analysis (ICA) and second-order blind identification (SOBI). The increase in SNR was of about 36% with ICA and 33% with SOBI. Comparison with existing methods No previous systematic evaluation of the effect of the typical preprocessing steps in the SNR of the MEG signal has been performed. Conclusions The application of either SSS or tSSS is mandatory in Elekta systems. No significant differences were found between the two. While epoch-based methods have been routinely applied the less often considered decomposition methods were clearly superior and therefore their use seems advisable.

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We present a quasi-monotone semi-Lagrangian particle level set (QMSL-PLS) method for moving interfaces. The QMSL method is a blend of first order monotone and second order semi-Lagrangian methods. The QMSL-PLS method is easy to implement, efficient, and well adapted for unstructured, either simplicial or hexahedral, meshes. We prove that it is unconditionally stable in the maximum discrete norm, � · �h,∞, and the error analysis shows that when the level set solution u(t) is in the Sobolev space Wr+1,∞(D), r ≥ 0, the convergence in the maximum norm is of the form (KT/Δt)min(1,Δt � v �h,∞ /h)((1 − α)hp + hq), p = min(2, r + 1), and q = min(3, r + 1),where v is a velocity. This means that at high CFL numbers, that is, when Δt > h, the error is O( (1−α)hp+hq) Δt ), whereas at CFL numbers less than 1, the error is O((1 − α)hp−1 + hq−1)). We have tested our method with satisfactory results in benchmark problems such as the Zalesak’s slotted disk, the single vortex flow, and the rising bubble.

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En esta tesis se aborda el problema de la modelización, análisis y optimización de pórticos metálicos planos de edificación frente a los estados límites último y de servicio. El objetivo general es presentar una técnica secuencial ordenada de optimización discreta para obtener el coste mínimo de pórticos metálicos planos de edificación, teniendo en cuenta las especificaciones del EC-3, incorporando las uniones semirrígidas y elementos no prismáticos en el proceso de diseño. Asimismo se persigue valorar su grado de influencia sobre el diseño final. El horizonte es extraer conclusiones prácticas que puedan ser de utilidad y aplicación simple para el proyecto de estructuras metálicas. La cantidad de publicaciones técnicas y científicas sobre la respuesta estructural de entramados metálicos es inmensa; por ello se ha hecho un esfuerzo intenso en recopilar el estado actual del conocimiento, sobre las líneas y necesidades actuales de investigación. Se ha recabado información sobre los métodos modernos de cálculo y diseño, sobre los factores que influyen sobre la respuesta estructural, sobre técnicas de modelización y de optimización, al amparo de las indicaciones que algunas normativas actuales ofrecen sobre el tema. En esta tesis se ha desarrollado un procedimiento de modelización apoyado en el método de los elementos finitos implementado en el entorno MatLab; se han incluido aspectos claves tales como el comportamiento de segundo orden, la comprobación ante inestabilidad y la búsqueda del óptimo del coste de la estructura frente a estados límites, teniendo en cuenta las especificaciones del EC-3. También se ha modelizado la flexibilidad de las uniones y se ha analizado su influencia en la respuesta de la estructura y en el peso y coste final de la misma. Se han ejecutado algunos ejemplos de aplicación y se ha contrastado la validez del modelo con resultados de algunas estructuras ya analizadas en referencias técnicas conocidas. Se han extraído conclusiones sobre el proceso de modelización y de análisis, sobre la repercusión de la flexibilidad de las uniones en la respuesta de la estructura. El propósito es extraer conclusiones útiles para la etapa de proyecto. Una de las principales aportaciones del trabajo en su enfoque de optimización es la incorporación de una formulación de elementos no prismáticos con uniones semirrígidas en sus extremos. Se ha deducido una matriz de rigidez elástica para dichos elementos. Se ha comprobado su validez para abordar el análisis no lineal; para ello se han comparado los resultados con otros obtenidos tras aplicar otra matriz deducida analíticamente existente en la literatura y también mediante el software comercial SAP2000. Otra de las aportaciones de esta tesis es el desarrollo de un método de optimización del coste de pórticos metálicos planos de edificación en el que se tienen en cuenta aspectos tales como las imperfecciones, la posibilidad de incorporar elementos no prismáticos y la caracterización de las uniones semirrígidas, valorando la influencia de su flexibilidad sobre la respuesta de la estructura. Así, se han realizado estudios paramétricos para valorar la sensibilidad y estabilidad de las soluciones obtenidas, así como rangos de validez de las conclusiones obtenidas. This thesis deals with the problems of modelling, analysis and optimization of plane steel frames with regard to ultimate and serviceability limit states. The objective of this work is to present an organized sequential technique of discrete optimization for achieving the minimum cost of plane steel frames, taking into consideration the EC-3 specifications as well as including effects of the semi-rigid joints and non-prismatic elements in the design process. Likewise, an estimate of their influence on the final design is an aim of this work. The final objective is to draw practical conclusions which can be handful and easily applicable for a steel-structure project. An enormous amount of technical and scientific publications regarding steel frames is currently available, thus making the achievement of a comprehensive and updated knowledge a considerably hard task. In this work, a large variety of information has been gathered and classified, especially that related to current research lines and needs. Thus, the literature collected encompasses references related to state-of-the-art design methods, factors influencing the structural response, modelling and optimization techniques, as well as calculation and updated guidelines of some steel Design Codes about the subject. In this work a modelling procedure based on the finite element implemented within the MatLab programming environment has been performed. Several keys aspects have been included, such as second order behaviour, the safety assessment against structural instability and the search for an optimal cost considering the limit states according to EC-3 specifications. The flexibility of joints has been taken into account in the procedure hereby presented; its effects on the structural response, on the optimum weight and on the final cost have also been analysed. In order to confirm the validity and adequacy of this procedure, some application examples have been carried out. The results obtained were compared with those available from other authors. Several conclusions about the procedure that comprises modelling, analysis and design stages, as well as the effect of the flexibility of connections on the structural response have been drawn. The purpose is to point out some guidelines for the early stages of a project. One of the contributions of this thesis is an attempt for optimizing plane steel frames in which both non-prismatic beam-column-type elements and semi-rigid connections have been considered. Thus, an elastic stiffness matrix has been derived. Its validity has been tested through comparing its accuracy with other analytically-obtained matrices available in the literature, and with results obtained by the commercial software SAP2000. Another achievement of this work is the development of a method for cost optimization of plane steel building frames in which some relevant aspects have been taken in consideration. These encompass geometric imperfections, non-prismatic beam elements and the numerical characterization of semi-rigid connections, evaluating the effect of its flexibility on the structural response. Hence, some parametric analyses have been performed in order to assess the sensitivity, the stability of the outcomes and their range of applicability as well.

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In this paper we consider a system of three parabolic equations modeling the behavior of two biological species moving attracted by a chemical factor. The chemical substance verifies a parabolic equation with slow diffusion. The system contains second order terms in the first two equations modeling the chemotactic effects. We apply an iterative method to obtain the global existence of solutions using that the total mass of the biological species is conserved. The stability of the homogeneous steady states is studied by using an energy method. A final example is presented to illustrate the theoretical results.

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A mathematical model for the group combustion of pulverized coal particles was developed in a previous work. It includes the Lagrangian description of the dehumidification, devolatilization and char gasification reactions of the coal particles in the homogenized gaseous environment resulting from the three fuels, CO, H2 and volatiles, supplied by the gasification of the particles and their simultaneous group combustion by the gas phase oxidation reactions, which are considered to be very fast. This model is complemented here with an analysis of the particle dynamics, determined principally by the effects of aerodynamic drag and gravity, and its dispersion based on a stochastic model. It is also extended to include two other simpler models for the gasification of the particles: the first one for particles small enough to extinguish the surrounding diffusion flames, and a second one for particles with small ash content when the porous shell of ashes remaining after gasification of the char, non structurally stable, is disrupted. As an example of the applicability of the models, they are used in the numerical simulation of an experiment of a non-swirling pulverized coal jet with a nearly stagnant air at ambient temperature, with an initial region of interaction with a small annular methane flame. Computational algorithms for solving the different stages undergone by a coal particle during its combustion are proposed. For the partial differential equations modeling the gas phase, a second order finite element method combined with a semi-Lagrangian characteristics method are used. The results obtained with the three versions of the model are compared among them and show how the first of the simpler models fits better the experimental results.

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La presente investigación tiene como objetivo el desarrollo de una metodología que favorezca la innovación en las empresas a través de la actividad directiva, analizando a su vez, su influencia a nivel macro, en los sistemas de innovación, en las políticas de innovación y en el capital intelectual y a nivel micro, en la innovación, en el desempeño y en el clima organizacional. Se estima importante realizar un estudio sobre este tema debido a que la innovación se considera un pilar crítico para el desarrollo social a través de la competitividad de las empresas, así como, una fuente importante de ventaja competitiva. Existe abundante literatura sobre la influencia de la innovación en la gestión empresarial y el papel que el liderazgo desempeña en términos generales. Sin embargo, la literatura presenta diversos estilos de liderazgo sin mostrar una línea consistente de interrelación entre ellos, por lo que finalmente no existe una relación sólida entre el liderazgo, la gestión empresarial y la innovación. Este hecho se debe, como se muestra en la tesis, a que la literatura analiza las organizaciones y el liderazgo desde una perspectiva sociológica u organizacional, y otra desde la perspectiva psicológica sin aportar una línea de articulación entre ambas. Es decir, la literatura analiza el comportamiento organizacional pero no su causa. A lo largo de la tesis se van desarrollando diferentes líneas de trabajo que se convierten en aportaciones empíricas y académicas. Así, una de las aportaciones de la tesis es la sustitución de la figura del líder como persona, por la de un directivo con una doble función; por un lado, la función de liderazgo cuyo objetivo es generar cambio y por el otro, la función de gestionar el día a día o desempeño. Sustituir la figura del líder por una doble funcionalidad directiva facilita la comprensión del concepto liderazgo, lo que permite a su vez, establecer estrategias para su desarrollo, haciendo una realidad el que el liderazgo puede ser aprendido. Este resultado constituye la primera aportación de la tesis. Así mismo, a través de un exhaustivo análisis de la literatura, se desarrolla una propuesta de liderazgo integrado de acuerdo con el modelo Stuart-Kotze, el cual se describe también ampliamente. Encontrar un modelo único de liderazgo supone la piedra angular para el desarrollo de la metodología. Esta propuesta de liderazgo integrado da lugar a la segunda aportación de la tesis. Del mismo modo, se realiza un estudio en profundidad de la perspectiva psicológica de las organizaciones desarrollando el constructo Miedo al Error (ME) que resulta ser un rasgo de la personalidad existente en todos los seres humanos y que presenta una influencia negativa tanto en el desempeño, como en la innovación empresarial. Este resultado permite identificar cuales son las verdaderas barreras para el ejercicio del liderazgo, señalando que la disminución del ME debe ser considerada como una competencia de la Inteligencia Emocional a ser desarrollada por los directivos. Este resultado constituye la tercera aportación de la tesis. Una vez desarrollado el modelo de gestión empresarial expuesto, se procede a su validación, analizando la relación entre los constructos que definen el modelo de gestión: el desempeño, la innovación y el ME. Para identificar las influencias o relaciones de causalidad que subyacen entre los constructos, se utilizó la técnica del modelo de ecuaciones estructurales (SEM). La población objeto de estudio estuvo constituida por 350 profesionales con responsabilidad directiva, procedentes de empresas del sector servicios repartidas por toda la geografía española. Como fuente primaria de recolección de información se utilizó el cuestionario desarrollado por Stuart-Kotze M-CPI (Momentum Continuous Performance Improvement). En primer lugar se procedió a evaluar las propiedades psicométricas del modelo de medida, llevándose a cabo un análisis factorial exploratorio (AFE) y un análisis factorial confirmatorio (AFC) de segundo orden. Los resultados obtenidos ponen de manifiesto que el constructo desempeño (D) viene determinado por dos dimensiones, (DOP), desempeño orientado hacia la planificación y (DORT), desempeño orientado hacia la realización de la tarea. Es decir, la muestra de directivos no percibe que la planificación en el día a día y la realización de la tarea estén articuladas. Posteriormente se procede a realizar el contraste del modelo a través del método de ecuaciones estructurales. Los resultados muestran que la relación de influencia de la dimensión DOP no es significativa, por lo que el constructo D queda representado únicamente por la dimensión DORT. Los resultados de la investigación proporcionan conclusiones e hipótesis para futuras investigaciones. Si bien la muestra de directivos realiza un plan estratégico, éste no se tiene en cuenta en el día a día. Este hecho podría explicar el alto grado de administración por crisis tan frecuente en la empresa española. A su vez, el ME presenta una influencia negativa en la innovación, lo que concuerda con la literatura. Al respecto, considerar el ME como un rasgo de la personalidad, presente tanto en directivos como en colaboradores, facilita la comprensión de las barreras de la organización hacia la comunicación abierta a la vez, que una dirección de trabajo para la mejora de la capacidad innovadora de la organización. Por último, los resultados establecen la existencia de una relación causal entre el desempeño diario y la innovación. Con respecto a este segundo resultado y analizando los comportamientos que identifican el constructo D surgen también varias conclusiones e hipótesis para futuras investigaciones. Los resultados ponen de manifiesto que la muestra de directivos genera iniciativas de cambio con la finalidad de que el trabajo diario salga adelante según los estándares de calidad definidos. Sin embargo, estas iniciativas sólo proceden de los directivos, sin participación alguna de los colaboradores, los cuales son sólo responsables de la implementación produciéndose la consiguiente desmotivación y pérdida de oportunidades. Esta conclusión pone de manifiesto que la innovación de las empresas de la muestra sucede para garantizar la eficiencia de los procesos existentes, pero en ningún caso surge de la iniciativa de buscar una mejor eficacia empresarial. Este hecho plantea un origen doble de la innovación en los procesos. La innovación proactiva que buscaría la mejora de la eficacia de la organización y una innovación de carácter reactiva que buscaría la salvaguarda de la eficiencia. Quizás sea esta la causa del gap existente entre la innovación en España y la innovación de los países que ocupan los primeros puestos en el ranking de producción de innovación lo que constituye un importante punto de partida para una investigación futura. ABSTRACT This research aims to develop a methodology that supports innovation in companies through the managers’ activity, analysing in turn its influence at the macro level: innovation systems, innovation policies and Intellectual capital and at the micro level: innovation itself, performance and organizational climate. It is considered important to conduct a study on this subject due to the fact that innovation is considered a critical pillar for the development and future of the enterprise and an important source of competitive advantage. There is abundant literature about the influence of innovation in business management and the role that leadership plays in general terms. However, the literature presents various styles of leadership without showing a consistent relationship among them, so finally there is not a strong relationship among leadership, business management and innovation. As shown in the thesis, this is due to the fact that the literature analyses organizations and leadership from a sociological or organizational perspective and from a psychological perspective, without providing a hinge line between the two. That is, the existing literature discusses organizational behaviour but not its cause. Throughout the thesis, different lines of work that become empirical and academic contributions have been developed. Thus, one of the contributions of the thesis is replacing the figure of the leader as a person, by a manager with a dual function. Firstly, we have the leadership role which aims to generate change and, on the other hand, the function to manage the day-to-day task or performance. Replacing the figure of the leader by a dual managerial functionality facilitates the understanding of the leadership concept, allowing in turn, to establish development strategies and making true that leadership can be learned. This outcome is the first contribution of the thesis. Likewise, through a comprehensive literature review, an integrated leadership proposal is developed, according to the Kotze model, which is also described widely. Finding a specific leadership model represents the cornerstone for the development of the methodology. This integrated leadership proposal leads to the second contribution of the thesis. Similarly, an in-depth study was conducted about the psychological perspective of the organizations disclosing the construct Fear of Failure. This construct is a personality trait that exists in all human beings and has a negative influence on both performance and business innovation. This outcome allows identifying which are the real barriers to the exercise of leadership, noting that the decrease in fear of failure must be considered as an Emotional Intelligence competence to be developed by managers. This outcome represents the third contribution of the thesis. Once a business management model has been developed, we proceed to its validation by analysing the relationship among the model constructs: management, innovation and fear of failure. To identify the influence or causal relationships underlying the constructs, a structural equation model (SEM) technique was used. The study population consisted of 350 professionals with managerial responsibility, from companies in the services sector scattered throughout the Spanish geography. As a primary source for gathering information a questionnaire developed by Kotze M-CPI (Continuous Performance Improvement Momentum) was used. First we proceeded to evaluate the psychometric properties of the measurement model, carrying out an exploratory factorial analysis (EFA) and a confirmatory factorial analysis (CFA) of second order. The results show that the performance construct D is determined by two-dimensions (DOP: performance oriented to planning) and (DORT: aiming at the realization of the task). That is, the sample of managers does not perceive that planning and the daily task are articulated. Then, we proceeded to make the contrast of the model through a structural equation model SEM. The results show that the influence of the DOP dimension is not significant, so that only the DORT dimension finally represents the construct D. The research outcomes provide conclusions and hypotheses for future research. Although the managers in the sample develop a strategic plan, it seems that managers do not take it into account in their daily tasks. This could explain the high degree of crisis management so prevalent in the Spanish companies. In turn, the fear of failure has a negative influence on innovation, consistent with the literature. In this regard, the fear of failure is considered as a personality trait, present in both managers and employees, which enables the understanding of organizational barriers to open communication and provides a direction to improve the organization’s innovative capacity as well. Finally, the results establish a causal relationship between daily performance and innovation. Regarding this second outcome and analysing the behaviours that identify the construct D, several conclusions and hypotheses for future research arise as well. The results show that the managers in the sample show initiatives of change in order to make everyday work go ahead, according to defined quality standards. However, these initiatives only come from managers without any participation of coworkers, which are only responsible for the implementation, and this produces discouragement and loss of opportunities. This finding shows that the innovation by the companies in the sample happens to guarantee the efficiency of existing processes, but do not arise from an initiative that seeks better business efficacy. This raises two sources of innovation in processes. The first source would be a proactive innovation that would seek improved organizational efficacy. The second one is a reactive innovation that would seek to safeguard efficiency. Perhaps this is the cause of the existing gap between the innovation activity in Spain and the innovation activity in those countries that occupy the top positions in the ranking of innovation outcomes. The Spanish companies seek process efficiency and the top innovators business efficacy. This is an important starting point for future research.

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En la mayoría de problemas de decisión a los que nos enfrentamos no hay evidencia sobre cuál es la mejor elección debido a la complejidad de los mismos. Esta complejidad está asociada a la existencia de múltiples objetivos conflictivos y a que en muchos casos solo se dispone de información incompleta o imprecisa sobre los distintos parámetros del modelo de decisión. Por otro lado, el proceso de toma de decisiones se puede realizar en grupo, debiendo incorporar al modelo las preferencias individuales de cada uno de los decisores y, posteriormente, agregarlas para alcanzar un consenso final, lo que dificulta más todavía el proceso de decisión. La metodología del Análisis de Decisiones (AD) es un procedimiento sistemático y lógico que permite estructurar y simplificar la tarea de tomar decisiones. Utiliza la información existente, datos recogidos, modelos y opiniones profesionales para cuantificar la probabilidad de los valores o impactos de las alternativas y la Teoría de la Utilidad para cuantificar las preferencias de los decisores sobre los posibles valores de las alternativas. Esta tesis doctoral se centra en el desarrollo de extensiones del modelo multicriterio en utilidad aditivo para toma de decisiones en grupo con veto en base al AD y al concepto de la intensidad de la dominancia, que permite explotar la información incompleta o imprecisa asociada a los parámetros del modelo. Se considera la posibilidad de que la importancia relativa que tienen los criterios del problema para los decisores se representa mediante intervalos de valores o información ordinal o mediante números borrosos trapezoidales. Adicionalmente, se considera que los decisores tienen derecho a veto sobre los valores de los criterios bajo consideración, pero solo un subconjunto de ellos es efectivo, teniéndose el resto solo en cuenta de manera parcial. ABSTRACT In most decision-making problems, the best choice is unclear because of their complexity. This complexity is mainly associated with the existence of multiple conflicting objectives. Besides, there is, in many cases, only incomplete or inaccurate information on the various decision model parameters. Alternatively, the decision-making process may be performed by a group. Consequently, the model must account for individual preferences for each decision-maker (DM), which have to be aggregated to reach a final consensus. This makes the decision process even more difficult. The decision analysis (DA) methodology is a systematic and logical procedure for structuring and simplifying the decision-making task. It takes advantage of existing information, collected data, models and professional opinions to quantify the probability of the alternative values or impacts and utility theory to quantify the DM’s preferences concerning the possible alternative values. This PhD. thesis focuses on developing extensions for a multicriteria additive utility model for group decision-making accounting for vetoes based on DA and on the concept of dominance intensity in order to exploit incomplete or imprecise information associated with the parameters of the decision-making model. We consider the possibility of the relative importance of criteria for DMs being represented by intervals or ordinal information, or by trapezoidal fuzzy numbers. Additionally, we consider that DMs are allowed to provide veto values for the criteria under consideration, of which only a subset are effective, whereas the remainder are only partially taken into account.