Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming

In contrast to traditional push-based protocols, adaptive streaming techniques like Dynamic Adaptive Streaming over HTTP (DASH) fix attention on the client, who dynamically requests different-quality portions of the content to cope with a limited and variable bandwidth but aiming at maximizing the quality perceived by the user. Since DASH adaptation logic at the client is not covered by the standard, we propose a solution based on Stochastic Dynamic Programming (SDP) techniques to find the optimal request policies that guarantee the users' Quality of Experience (QoE). Our algorithm is evaluated in a simulated streaming session and is compared with other adaptation approaches. The results show that our proposal outperforms them in terms of QoE, requesting higher qualities on average.

Participatory modelling to support decision making in water management under uncertainty: Two comparative case studies in the Guadiana river basin, Spain.

A participatory modelling process has been conducted in two areas of the Guadiana river (the upper and the middle sub-basins), in Spain, with the aim of providing support for decision making in the water management field. The area has a semi-arid climate where irrigated agriculture plays a key role in the economic development of the region and accounts for around 90% of water use. Following the guidelines of the European Water Framework Directive, we promote stakeholder involvement in water management with the aim to achieve an improved understanding of the water system and to encourage the exchange of knowledge and views between stakeholders in order to help building a shared vision of the system. At the same time, the resulting models, which integrate the different sectors and views, provide some insight of the impacts that different management options and possible future scenarios could have. The methodology is based on a Bayesian network combined with an economic model and, in the middle Guadiana sub-basin, with a crop model. The resulting integrated modelling framework is used to simulate possible water policy, market and climate scenarios to find out the impacts of those scenarios on farm income and on the environment. At the end of the modelling process, an evaluation questionnaire was filled by participants in both sub-basins. Results show that this type of processes are found very helpful by stakeholders to improve the system understanding, to understand each others views and to reduce conflict when it exists. In addition, they found the model an extremely useful tool to support management. The graphical interface, the quantitative output and the explicit representation of uncertainty helped stakeholders to better understand the implications of the scenario tested. Finally, the combination of different types of models was also found very useful, as it allowed exploring in detail specific aspects of the water management problems.

A Fuzzy approach based on dynamic programming and metaheuristics for selecting safeguards for risk management for information systems

In this paper we focus on the selection of safeguards in a fuzzy risk analysis and management methodology for information systems (IS). Assets are connected by dependency relationships, and a failure of one asset may affect other assets. After computing impact and risk indicators associated with previously identified threats, we identify and apply safeguards to reduce risks in the IS by minimizing the transmission probabilities of failures throughout the asset network. However, as safeguards have associated costs, the aim is to select the safeguards that minimize costs while keeping the risk within acceptable levels. To do this, we propose a dynamic programming-based method that incorporates simulated annealing to tackle optimizations problems.

Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach

The operating theatres are the engine of the hospitals; proper management of the operating rooms and its staff represents a great challenge for managers and its results impact directly in the budget of the hospital. This work presents a MILP model for the efficient schedule of multiple surgeries in Operating Rooms (ORs) during a working day. This model considers multiple surgeons and ORs and different types of surgeries. Stochastic strategies are also implemented for taking into account the uncertain in surgery durations (pre-incision, incision, post-incision times). In addition, a heuristic-based methods and a MILP decomposition approach is proposed for solving large-scale ORs scheduling problems in computational efficient way. All these computer-aided strategies has been implemented in AIMMS, as an advanced modeling and optimization software, developing a user friendly solution tool for the operating room management under uncertainty.

Hybrid wind-diesel power plant valuation and optimization using real option theory and dynamic programming

El sistema de energía eólica-diesel híbrido tiene un gran potencial en la prestación de suministro de energía a comunidades remotas. En comparación con los sistemas tradicionales de diesel, las plantas de energía híbridas ofrecen grandes ventajas tales como el suministro de capacidad de energía extra para "microgrids", reducción de los contaminantes y emisiones de gases de efecto invernadero, y la cobertura del riesgo de aumento inesperado del precio del combustible. El principal objetivo de la presente tesis es proporcionar nuevos conocimientos para la evaluación y optimización de los sistemas de energía híbrido eólico-diesel considerando las incertidumbres. Dado que la energía eólica es una variable estocástica, ésta no puede ser controlada ni predecirse con exactitud. La naturaleza incierta del viento como fuente de energía produce serios problemas tanto para la operación como para la evaluación del valor del sistema de energía eólica-diesel híbrido. Por un lado, la regulación de la potencia inyectada desde las turbinas de viento es una difícil tarea cuando opera el sistema híbrido. Por otro lado, el bene.cio económico de un sistema eólico-diesel híbrido se logra directamente a través de la energía entregada a la red de alimentación de la energía eólica. Consecuentemente, la incertidumbre de los recursos eólicos incrementa la dificultad de estimar los beneficios globales en la etapa de planificación. La principal preocupación del modelo tradicional determinista es no tener en cuenta la incertidumbre futura a la hora de tomar la decisión de operación. Con lo cual, no se prevé las acciones operativas flexibles en respuesta a los escenarios futuros. El análisis del rendimiento y simulación por ordenador en el Proyecto Eólico San Cristóbal demuestra que la incertidumbre sobre la energía eólica, las estrategias de control, almacenamiento de energía, y la curva de potencia de aerogeneradores tienen un impacto significativo sobre el rendimiento del sistema. En la presente tesis, se analiza la relación entre la teoría de valoración de opciones y el proceso de toma de decisiones. La opción real se desarrolla con un modelo y se presenta a través de ejemplos prácticos para evaluar el valor de los sistemas de energía eólica-diesel híbridos. Los resultados muestran que las opciones operacionales pueden aportar un valor adicional para el sistema de energía híbrida, cuando esta flexibilidad operativa se utiliza correctamente. Este marco se puede aplicar en la optimización de la operación a corto plazo teniendo en cuenta la naturaleza dependiente de la trayectoria de la política óptima de despacho, dadas las plausibles futuras realizaciones de la producción de energía eólica. En comparación con los métodos de valoración y optimización existentes, el resultado del caso de estudio numérico muestra que la política de operación resultante del modelo de optimización propuesto presenta una notable actuación en la reducción del con- sumo total de combustible del sistema eólico-diesel. Con el .n de tomar decisiones óptimas, los operadores de plantas de energía y los gestores de éstas no deben centrarse sólo en el resultado directo de cada acción operativa, tampoco deberían tomar decisiones deterministas. La forma correcta es gestionar dinámicamente el sistema de energía teniendo en cuenta el valor futuro condicionado en cada opción frente a la incertidumbre. ABSTRACT Hybrid wind-diesel power systems have a great potential in providing energy supply to remote communities. Compared with the traditional diesel systems, hybrid power plants are providing many advantages such as providing extra energy capacity to the micro-grid, reducing pollution and greenhouse-gas emissions, and hedging the risk of unexpected fuel price increases. This dissertation aims at providing novel insights for assessing and optimizing hybrid wind-diesel power systems considering the related uncertainties. Since wind power can neither be controlled nor accurately predicted, the energy harvested from a wind turbine may be considered a stochastic variable. This uncertain nature of wind energy source results in serious problems for both the operation and value assessment of the hybrid wind-diesel power system. On the one hand, regulating the uncertain power injected from wind turbines is a difficult task when operating the hybrid system. On the other hand, the economic profit of a hybrid wind-diesel system is achieved directly through the energy delivered to the power grid from the wind energy. Therefore, the uncertainty of wind resources has increased the difficulty in estimating the total benefits in the planning stage. The main concern of the traditional deterministic model is that it does not consider the future uncertainty when making the dispatch decision. Thus, it does not provide flexible operational actions in response to the uncertain future scenarios. Performance analysis and computer simulation on the San Cristobal Wind Project demonstrate that the wind power uncertainty, control strategies, energy storage, and the wind turbine power curve have a significant impact on the performance of the system. In this dissertation, the relationship between option pricing theory and decision making process is discussed. A real option model is developed and presented through practical examples for assessing the value of hybrid wind-diesel power systems. Results show that operational options can provide additional value to the hybrid power system when this operational flexibility is correctly utilized. This framework can be applied in optimizing short term dispatch decisions considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. Comparing with the existing valuation and optimization methods, result from numerical example shows that the dispatch policy resulting from the proposed optimization model exhibits a remarkable performance in minimizing the total fuel consumption of the wind-diesel system. In order to make optimal decisions, power plant operators and managers should not just focus on the direct outcome of each operational action; neither should they make deterministic decisions. The correct way is to dynamically manage the power system by taking into consideration the conditional future value in each option in response to the uncertainty.

Lock-free Parallel Dynamic Programming

We show a method for parallelizing top down dynamic programs in a straightforward way by a careful choice of a lock-free shared hash table implementation and randomization of the order in which the dynamic program computes its subproblems. This generic approach is applied to dynamic programs for knapsack, shortest paths, and RNA structure alignment, as well as to a state-of-the-art solution for minimizing the máximum number of open stacks. Experimental results are provided on three different modern multicore architectures which show that this parallelization is effective and reasonably scalable. In particular, we obtain over 10 times speedup for 32 threads on the open stacks problem.

Supporting decision making under uncertainty: Development of a participatory integrated model for water management in the middle Guadiana river basin.

Following the Integrated Water Resources Management approach, the European Water Framework Directive demands Member States to develop water management plans at the catchment level. Those plans have to integrate the different interests and must be developed with stakeholder participation. To face these requirements, managers need tools to assess the impacts of possible management alternatives on natural and socio-economic systems. These tools should ideally be able to address the complexity and uncertainties of the water system, while serving as a platform for stakeholder participation. The objective of our research was to develop a participatory integrated assessment model, based on the combination of a crop model, an economic model and a participatory Bayesian network, with an application in the middle Guadiana sub-basin, in Spain. The methodology is intended to capture the complexity of water management problems, incorporating the relevant sectors, as well as the relevant scales involved in water management decision making. The integrated model has allowed us testing different management, market and climate change scenarios and assessing the impacts of such scenarios on the natural system (crops), on the socio-economic system (farms) and on the environment (water resources). Finally, this integrated assessment modelling process has allowed stakeholder participation, complying with the main requirements of current European water laws.

A dynamic programming approach to the formulation and solution of finite element equations

A method for formulating and algorithmically solving the equations of finite element problems is presented. The method starts with a parametric partition of the domain in juxtaposed strips that permits sweeping the whole region by a sequential addition (or removal) of adjacent strips. The solution of the difference equations constructed over that grid proceeds along with the addition removal of strips in a manner resembling the transfer matrix approach, except that different rules of composition that lead to numerically stable algorithms are used for the stiffness matrices of the strips. Dynamic programming and invariant imbedding ideas underlie the construction of such rules of composition. Among other features of interest, the present methodology provides to some extent the analyst's control over the type and quantity of data to be computed. In particular, the one-sweep method presented in Section 9, with no apparent counterpart in standard methods, appears to be very efficient insofar as time and storage is concerned. The paper ends with the presentation of a numerical example

Influence of new integrated pest management strategies on aphidophagous predators in horticultural crops

El 1 de enero de 2014 entró en vigor la Directiva Europea 2009/128/CE sobre uso sostenible de plaguicidas y el Real Decreto 1311/2012 por el cual se traspone dicha normativa comunitaria al ámbito nacional. Estos reglamentos establecen el marco legal por el que las explotaciones agrícolas deben cumplir los principios generales de la Gestión Integrada de Plagas (GIP). Los principios de la GIP dan preferencia a aquellos métodos de control que sean sostenibles y respetuosos con el medio ambiente, dando prioridad al control biológico, al físico y a otros de carácter no químico. Sin embargo, el uso de insecticidas selectivos con los enemigos naturales es necesario en ocasiones para el adecuado manejo de las plagas en cultivos hortícolas. Por ello, el objetivo general de esta Tesis ha sido aportar conocimientos para la mejora del control de plagas en cultivos hortícolas, mediante la integración de estrategias de lucha biológica, física y química. La primera de las líneas de investigación de esta Tesis se centró en el estudio del efecto de la presencia dos depredadores, larvas Chrysoperla carnea y adultos de Adalia bipunctata, en la dispersión del virus de transmisión no persistente Cucumber mosaic virus (CMV) y del virus de transmisión persistente Cucurbit aphid-borne yellows virus (CABYV), transmitidos por el pulgón Aphis gosypii en cultivo de pepino. La tasa de transmisión de CMV fue baja para los dos tiempos de evaluación ensayados (1 y 5 días), debido al limitado movimiento de su vector A. gossypii. Las plantas que resultaron infectadas se localizaron próximas a la fuente de inóculo central y la presencia de ambos enemigos naturales no incrementó significativamente el porcentaje de plantas ocupadas por pulgones ni la tasa de transmisión de CMV. Los patrones de distribución de A. gossypii y de CMV tan solo fueron coincidentes en las proximidades de la planta central infectada en la que se liberaron los insectos. En los ensayos con CABYV, la presencia de C. carnea y de A. bipunctata respectivamente provocó un incremento significativo de la dispersión de A. gossypii tras 14 días, pero no tras 7 días desde la liberación de los insectos. La reducción en el número inicial de pulgones en la planta central infectada con CABYV fue siempre mayor tras la liberación de C. carnea en comparación con A. bipunctata. Sin embargo, la tasa de transmisión de CABYV y su distribución espacial no se vieron significativamente modificadas por la presencia de ninguno de los depredadores, ni tras 7 días ni tras 14 días desde el inicio de los ensayos. Al igual que se estudió el efecto de la presencia de enemigos naturales en el comportamiento de las plagas y en la epidemiología de las virosis que transmiten, en una segunda línea de investigación se evaluó el posible efecto del consumo de pulgones portadores de virus por parte de los enemigos naturales. Este trabajo se llevó a cabo en el Laboratorio de Ecotoxicología del Departamento de Entomología de la Universidade Federal de Lavras (UFLA) (Brasil). En él se evaluó la influencia en los parámetros biológicos del enemigo natural Chrysoperla externa al alimentarse de Myzus persicae contaminados con el virus de transmisión persistente Potato leafroll virus (PLRV). El consumo de M. persicae contaminados con PLRV incrementó significativamente la duración de la fase larvaria, reduciendo también la supervivencia en comparación a otras dos dietas a base de M. persicae no contaminados con el virus y huevos del lepidóptero Ephestia kuehniella. La duración de la fase de pupa de C. externa no difirió significativamente entre las dietas a base de pulgones contaminados con PLRV y pulgones no contaminados, pero ambas fueron menores que con la dieta con huevos de E. kuehniella. Sin embargo, ni la supervivencia en la fase de pupa ni los parámetros reproductivos de los adultos emergidos mostraron diferencias significativas entre las dietas evaluadas. Por el contrario, la supervivencia de los adultos durante los 30 primeros días desde su emergencia sí se vio significativamente afectada por la dieta, siendo al término de este periodo del 54% para aquellos adultos de C. externa que durante su fase larvaria consumieron pulgones con PLRV. Dentro de la GIP, una de las estrategias de carácter físico que se emplean para el control de plagas y enfermedades en cultivos hortícolas protegidos es el uso de plásticos con propiedades fotoselectivas de absorción de la radiación ultravioleta (UV). Por ello, la tercera línea de investigación de la Tesis se centró en el estudio de los efectos directos e indirectos (mediados por la planta) de condiciones especiales de baja radiación UV sobre el crecimiento poblacional del pulgón A. gossypii y los parámetros biológicos del enemigo natural C. carnea, así como sobre las plantas de pepino en las que se liberaron los insectos. Los ensayos se realizaron en jaulones dentro de invernadero, utilizándose en el primero de ellos plantas de pepino sanas, mientras que en el segundo las plantas de pepino fueron previamente infectadas con CABYV para estudiar de qué manera afectaba la incidencia del virus en las mismas condiciones. Las condiciones de baja radiación UV (bajo plástico Térmico Antivirus®) ejercieron un efecto directo en las fases iniciales del cultivo de pepino, promoviendo su crecimiento, mientras que en fases más avanzadas del cultivo indujeron un aumento en el contenido en nitrógeno de las plantas. Las plantas de pepino que fueron sometidas a mayor intensidad de radiación UV (bajo plástico Térmico Blanco®) al inicio del cultivo mostraron un engrosamiento significativo de las paredes de las células epidérmicas del haz de las hojas, así como de la cutícula. El uso del plástico Térmico Antivirus®, utilizado como barrera fotoselectiva para crear condiciones de baja radiación UV, no alteró con respecto al plástico Térmico Blanco® (utilizado como control) el desarrollo poblacional del pulgón A. gossypii ni los parámetros biológicos evaluados en el depredador C. carnea. En el segundo experimento, realizado con plantas infectadas con CABYV, la incidencia de la virosis enmascaró las diferencias encontradas en experimento con plantas sanas, reduciendo aparentemente la influencia de las distintas condiciones de radiación UV. Por último, para el desarrollo de las estrategias de GIP es importante estudiar los posibles efectos secundarios que los plaguicidas pueden tener en los enemigos naturales de las plagas. Es por ello que en la Tesis se evaluaron la toxicidad y los efectos subletales (fecundidad y fertilidad) de flonicamida, flubendiamida, metaflumizona, spirotetramat, sulfoxaflor y deltametrina en los enemigos naturales C. carnea y A. bipunctata. Los efectos secundarios fueron evaluados por contacto residual tanto para larvas como para adultos de ambos enemigos naturales en condiciones de laboratorio. Flonicamida, flubendiamida, metaflumizona y spirotetramat fueron inocuos para larvas de último estadio y adultos de C. carnea y A. bipunctata. Por este motivo, estos insecticidas se presentan como buenos candidatos para ser incorporados dentro de programas de GIP en combinación con estos enemigos naturales para el control de plagas de cultivos hortícolas. Sulfoxaflor fue ligeramente tóxico para adultos de C. carnea y altamente tóxico para larvas de último estadio de A. bipunctata. Para A. bipunctata, sulfoxaflor y deltametrina fueron los compuestos más dañinos. Deltametrina fue también el compuesto más tóxico para larvas y adultos de C. carnea. Por tanto, el uso de deltametrina y sulfoxaflor en programas de GIP debería tomarse en consideración cuando se liberasen cualquiera de estos dos enemigos naturales debido al comportamiento tóxico que mostraron en condiciones de laboratorio. ABSTRACT On 1 January 2014 came into effect the Directive 2009/128/EC of the European Parliament about sustainable use of pesticides and the Royal Decree 1311/2012 that transposes the regulation to the Spanish level. These regulations establish the legal framework that agricultural holdings must adhere to in order to accomplish the general principles of Integrated Pest Management (IPM). The guidelines of IPM give priority to sustainable and eco-friendly pest control techniques, such as biological and physical measures. Nevertheless, the use of pesticides that are selective to natural enemies is sometimes a necessary strategy to implement accurate pest management programs in horticultural protected crops. Therefore, the general objective of this Thesis was to contribute to the improvement of pest management strategies in horticultural crops, by means of the integration of biological, physical and chemical techniques. The first research line of this Thesis was focused on the evaluation of the effects of two aphidophagous predators, Chrysoperla carnea larvae and Adalia bipunctata adults, on the spread of the non-persistently transmitted Cucumber mosaic virus (CMV, Cucumovirus) and the persistently transmitted Cucurbit aphid-borne yellows virus (CABYV, Polerovirus), by the aphid vector Aphis gossypii in a cucumber crop under greenhouse conditions. The CMV transmission rate was generally low, both after 1 and 5 days, due to the limited movement of its aphid vector A. gossypii. Infected plants were mainly located around the central virusinfected source plant, and the percentage of aphid occupation and CMV-infected plants did not differ significantly in absence and presence of natural enemies. The distribution patterns of A. gossypii and CMV were only coincident close to the central plant where insects were released. In the CABYV experiments, the presence of C. carnea larvae and A. bipunctata adults induced significant A. gossypii dispersal after 14 days but not after 7 days. The reduction in the initial aphid population established in the central plant was always higher for C. carnea than for A. bipunctata. Nevertheless, CABYV spread was not significantly modified by the presence of each predator either in the short term (7 days) or in the long term (14 days). Furthermore, the percentage of CABYV-infected plants did not significantly differ when each natural enemy was present in any evaluation period. It is important to evaluate the influence that natural enemies have on pest dynamics and on the spread of viral diseases, but it should be also taken into account the possible effect on the performance of natural enemies when they feed on preys that act as vectors of viruses. Thus, in a second research line developed in the Laboratory of Ecotoxicology, Department of Entomology, of the Universidade Federal de Lavras (UFLA) (Brazil), it was evaluated the performance of Chrysoperla externa under the condition of consuming Myzus persicae acting as vector of Potato leafroll virus (PLRV). The diet composed of PLRV-infected M. persicae significantly increased the length and reduced the survival rate, of the larval period in regard to the other two diets, composed of non-infected M. persicae and Ephestia kuehniella eggs. The lengths of the pupal stage were not significantly different between the aphid diets, but both were significantly shorter than that of E. kuehniella eggs. Neither pupal survival nor reproductive parameters revealed significant differences among the diets. Nevertheless, the adult survival curves during the first 30 days after emergence showed significant differences, reaching at the end of this interval a value of 54% for those C. externa adults fed on PLRVinfected aphids during their larval period. According to the IPM guidelines, one of the physical strategies for the control of pests and diseases in horticultural protected crops is the use of plastic films with photoselective properties that act as ultraviolet (UV) radiation blocking barriers. In this sense, the third research line of the Thesis dealt with the study of the direct and plant-mediated influence of low UV radiation conditions on the performance of the aphid A. gossypii and on the biological parameters of the natural enemy C. carnea, as well as on the cucumber plants where insects were released. The experiments were conducted inside cages under greenhouse conditions, using for the first one healthy cucumber plants, while for the second experiment the cucumber plants were previously infected with CABYV in order to assess the influence of the virus in the same conditions. The low UV radiation conditions (under Térmico Antivirus® plastic film) seemed to exert a direct effect in the early stages of cucumber plants, enhancing their growth, and in an increasing nitrogen content at further developmental stages. The higher UV radiation exposure (under Térmico Blanco® plastic film) in the early stages of the cucumber crop induced the thickening of the adaxial epidermal cell walls and the cuticle of leaves. The use of Térmico Antivirus® plastic film as a photoselective barrier to induce low UV radiation conditions did not modify, in regard to Térmico Blanco® plastic film (used as control), neither the population development of A. gossypii nor the studied biological parameters of the predator C. carnea. In the second experiment, done with CABYV-infected cucumber plants, the incidence of the virus seemed to mask the direct and plant-mediated influence of the different UV radiation conditions. In last term, for the development of IPM strategies it is important to study the potential side effects that pesticides might have on natural enemies. For this reason, in the Thesis were tested the toxicity and sublethal effects (fecundity and fertility) of flonicamid, flubendiamide, metaflumizone, spirotetramat, sulfoxaflor and deltamethrin on the natural enemies C. carnea and A. bipunctata. The side effects of the active ingredients of the insecticides were evaluated with residual contact tests for the larvae and adults of these predators under laboratory conditions. Flonicamid, flubendiamide, metaflumizone and spirotetramat were innocuous to last instar larvae and adults of C. carnea and A. bipunctata. Therefore, these pesticides are promising candidates for being incorporated into IPM programs in combination with these natural enemies for the control of particular greenhouse pests. In contrast, sulfoxaflor was slightly toxic to adults of C. carnea and was highly toxic to last instar larvae of A. bipunctata. For A. bipunctata, sulfoxaflor and deltamethrin were the most damaging compounds. Deltamethrin was also the most toxic compound to larvae and adults of C. carnea. In accordance with this fact, the use of sulfoxaflor and deltamethrin in IPM strategies should be taken into consideration when releasing either of these biological control agents, due to the toxic behavior observed under laboratory conditions.

Participatory modelling to support decision making in water management. A case study in the middle Guadiana basin, Spain.

The objective of this research was the implementation of a participatory process for the development of a tool to support decision making in water management. The process carried out aims at attaining an improved understanding of the water system and an encouragement of the exchange of knowledge and views between stakeholders to build a shared vision of the system. In addition, the process intends to identify impacts of possible solutions to given problems, which will help to take decisions.

MOIRA-PLUS use in decision making on the long-term management of contaminated freshwater bodies and catchments

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.

Analysing the complexity of the model-based decision making processes within the industrial management context

PURPOSE The decision-making process plays a key role in organizations. Every decision-making process produces a final choice that may or may not prompt action. Recurrently, decision makers find themselves in the dichotomous question of following a traditional sequence decision-making process where the output of a decision is used as the input of the next stage of the decision, or following a joint decision-making approach where several decisions are taken simultaneously. The implication of the decision-making process will impact different players of the organization. The choice of the decision- making approach becomes difficult to find, even with the current literature and practitioners’ knowledge. The pursuit of better ways for making decisions has been a common goal for academics and practitioners. Management scientists use different techniques and approaches to improve different types of decisions. The purpose of this decision is to use the available resources as well as possible (data and techniques) to achieve the objectives of the organization. The developing and applying of models and concepts may be helpful to solve managerial problems faced every day in different companies. As a result of this research different decision models are presented to contribute to the body of knowledge of management science. The first models are focused on the manufacturing industry and the second part of the models on the health care industry. Despite these models being case specific, they serve the purpose of exemplifying that different approaches to the problems and could provide interesting results. Unfortunately, there is no universal recipe that could be applied to all the problems. Furthermore, the same model could deliver good results with certain data and bad results for other data. A framework to analyse the data before selecting the model to be used is presented and tested in the models developed to exemplify the ideas. METHODOLOGY As the first step of the research a systematic literature review on the joint decision is presented, as are the different opinions and suggestions of different scholars. For the next stage of the thesis, the decision-making process of more than 50 companies was analysed in companies from different sectors in the production planning area at the Job Shop level. The data was obtained using surveys and face-to-face interviews. The following part of the research into the decision-making process was held in two application fields that are highly relevant for our society; manufacturing and health care. The first step was to study the interactions and develop a mathematical model for the replenishment of the car assembly where the problem of “Vehicle routing problem and Inventory” were combined. The next step was to add the scheduling or car production (car sequencing) decision and use some metaheuristics such as ant colony and genetic algorithms to measure if the behaviour is kept up with different case size problems. A similar approach is presented in a production of semiconductors and aviation parts, where a hoist has to change from one station to another to deal with the work, and a jobs schedule has to be done. However, for this problem simulation was used for experimentation. In parallel, the scheduling of operating rooms was studied. Surgeries were allocated to surgeons and the scheduling of operating rooms was analysed. The first part of the research was done in a Teaching hospital, and for the second part the interaction of uncertainty was added. Once the previous problem had been analysed a general framework to characterize the instance was built. In the final chapter a general conclusion is presented. FINDINGS AND PRACTICAL IMPLICATIONS The first part of the contributions is an update of the decision-making literature review. Also an analysis of the possible savings resulting from a change in the decision process is made. Then, the results of the survey, which present a lack of consistency between what the managers believe and the reality of the integration of their decisions. In the next stage of the thesis, a contribution to the body of knowledge of the operation research, with the joint solution of the replenishment, sequencing and inventory problem in the assembly line is made, together with a parallel work with the operating rooms scheduling where different solutions approaches are presented. In addition to the contribution of the solving methods, with the use of different techniques, the main contribution is the framework that is proposed to pre-evaluate the problem before thinking of the techniques to solve it. However, there is no straightforward answer as to whether it is better to have joint or sequential solutions. Following the proposed framework with the evaluation of factors such as the flexibility of the answer, the number of actors, and the tightness of the data, give us important hints as to the most suitable direction to take to tackle the problem. RESEARCH LIMITATIONS AND AVENUES FOR FUTURE RESEARCH In the first part of the work it was really complicated to calculate the possible savings of different projects, since in many papers these quantities are not reported or the impact is based on non-quantifiable benefits. The other issue is the confidentiality of many projects where the data cannot be presented. For the car assembly line problem more computational power would allow us to solve bigger instances. For the operation research problem there was a lack of historical data to perform a parallel analysis in the teaching hospital. In order to keep testing the decision framework it is necessary to keep applying more case studies in order to generalize the results and make them more evident and less ambiguous. The health care field offers great opportunities since despite the recent awareness of the need to improve the decision-making process there are many opportunities to improve. Another big difference with the automotive industry is that the last improvements are not spread among all the actors. Therefore, in the future this research will focus more on the collaboration between academia and the health care sector.

An Integrated Approach to Strategic Asset Management

This paper focuses on identifying and analysing the elements of Strategic Management for infrastructure and engineering assets. These elements are contended to involve an understanding of governance, corporate policy, corporate objectives, corporate strategy and interagency collaboration and will in turn, allow the ability determine a broader and more comprehensive framework for engineering asset management, ie a ‘staged approach’ to understanding how assets are managed within organisations. While the assets themselves have often been the sole concern for good management practices, other social and contextual elements have come into the mix in order to promote strategic asset management. The development of an integrated approach to asset management is at the base of the research question. What are the considerations and implications for adopting and implementing an integrated strategic asset management (ISAM) framework? While operational matters have been given prominence, a subset of corporate governance, Asset Governance, details the policies and processes needed to acquire, utilise, maintain and account for an organisation’s assets. Asset governance stems from the organisation’s overarching corporate governance principles; as a result it defines the management context in which engineering asset management is implemented. This aspect will be examined to determine the appropriate relationship between organisational strategic management and strategic asset management to further the theoretical engagement with the maturity of strategy,policy and governance for infrastructure and engineered assets. Asset governance stems from the organisation’s overarching corporate governance principles; as a result it defines the management context in which engineering asset management is implemented. The research proceeds by a document analysis of corporate reports and policy recommendations in terms of infrastructure and engineered assets. The paper concludes that incorporating an integrated asset management framework can promote a more robust conceptualisation of public assets and how they combine to provide a comprehensive system of service outcomes.

Impact assessment of an integrated approach for thermal power generation plants asset management in the current energy market

El sector energético, en España en particular, y de forma similar en los principales países de Europa, cuenta con una significativa sobrecapacidad de generación, debido al rápido y significativo crecimiento de las energías renovables en los últimos diez años y la reducción de la demanda energética, como consecuencia de la crisis económica. Esta situación ha hecho que las centrales térmicas de generación de electricidad, y en concreto los ciclos combinados de gas, operen con un factor de utilización extremadamente bajo, del orden del 10%. Además de la reducción de ingresos, esto supone para las plantas trabajar continuamente fuera del punto de diseño, provocando una significativa pérdida de rendimiento y mayores costes de explotación. En este escenario, cualquier contribución que ayude a mejorar la eficiencia y la condición de los equipos, es positivamente considerada. La gestión de activos está ganando relevancia como un proceso multidisciplinar e integrado, tal y como refleja la reciente publicación de las normas ISO 55000:2014. Como proceso global e integrado, la gestión de activos requiere el manejo de diversos procesos y grandes volúmenes de información, incluso en tiempo real. Para ello es necesario utilizar tecnologías de la información y aplicaciones de software. Esta tesis desarrolla un concepto integrado de gestión de activos (Integrated Plant Management – IPM) aplicado a centrales de ciclo combinado y una metodología para estimar el beneficio aportado por el mismo. Debido a las incertidumbres asociadas a la estimación del beneficio, se ha optado por un análisis probabilístico coste-beneficio. Así mismo, el análisis cuantitativo se ha completado con una validación cualitativa del beneficio aportado por las tecnologías incorporadas al concepto de gestión integrada de activos, mediante una entrevista realizada a expertos del sector de generación de energía. Los resultados del análisis coste-beneficio son positivos, incluso en el desfavorable escenario con un factor de utilización de sólo el 10% y muy prometedores para factores de utilización por encima del 30%. ABSTRACT The energy sector particularly in Spain, and in a similar way in Europe, has a significant overcapacity due to the big growth of the renewable energies in the last ten years, and it is seriously affected by the demand decrease due to the economic crisis. That situation has forced the thermal plants and in particular, the combined cycles to operate with extremely low annual average capacity factors, very close to 10%. Apart from the incomes reduction, working in out-of-design conditions, means getting a worse performance and higher costs than expected. In this scenario, anything that can be done to improve the efficiency and the equipment condition is positively received. Asset Management, as a multidisciplinary and integrated process, is gaining prominence, reflected in the recent publication of the ISO 55000 series in 2014. Dealing Asset Management as a global, integrated process needs to manage several processes and significant volumes of information, also in real time, that requires information technologies and software applications to support it. This thesis proposes an integrated asset management concept (Integrated Plant Management-IPM) applied to combined cycle power plants and develops a methodology to assess the benefit that it can provide. Due to the difficulties in getting deterministic benefit estimation, a statistical approach has been adopted for the cot-benefit analysis. As well, the quantitative analysis has been completed with a qualitative validation of the technologies included in the IPM and their contribution to key power plant challenges by power generation sector experts. The cost- benefit analysis provides positive results even in the negative scenario of annual average capacity factor close to 10% and is promising for capacity factors over 30%.

Integrated economic-hydrologic analysis of policy responses

Water is a vital resource, but also a critical limiting factor for economic and social development in many parts of the world. The recent rapid growth in human population and water use for social and economic development is increasing the pressure on water resources and the environment, as well as leading to growing conflicts among competing water use sectors (agriculture, urban, tourism, industry) and regions (Gleick et al., 2009; World Bank, 2006). In Spain, as in many other arid and semi-arid regions affected by drought and wide climate variability, irrigated agriculture is responsible for most consumptive water use and plays an important role in sustaining rural livelihoods (Varela-Ortega, 2007). Historically, the evolution of irrigation has been based on publicly-funded irrigation development plans that promoted economic growth and improved the socio-economic conditions of rural farmers in agrarian Spain, but increased environmental damage and led to excessive and inefficient exploitation of water resources (Garrido and Llamas, 2010; Varela-Ortega et al., 2010). Currently, water policies in Spain focus on rehabilitating and improving the efficiency of irrigation systems, and are moving from technocratic towards integrated water management strategies driven by the European Union (EU) Water Framework Directive (WFD).