Integrated clinical pathway management for medical quality improvement-based on a semiotically inspired systems architecture

Clinical pathway is an approach to standardise care processes to support the implementations of clinical guidelines and protocols. It is designed to support the management of treatment processes including clinical and non-clinical activities, resources and also financial aspects. It provides detailed guidance for each stage in the management of a patient with the aim of improving the continuity and coordination of care across different disciplines and sectors. However, in the practical treatment process, the lack of knowledge sharing and information accuracy of paper-based clinical pathways burden health-care staff with a large amount of paper work. This will often result in medical errors, inefficient treatment process and thus poor quality medical services. This paper first presents a theoretical underpinning and a co-design research methodology for integrated pathway management by drawing input from organisational semiotics. An approach to integrated clinical pathway management is then proposed, which aims to embed pathway knowledge into treatment processes and existing hospital information systems. The capability of this approach has been demonstrated through the case study in one of the largest hospitals in China. The outcome reveals that medical quality can be improved significantly by the classified clinical pathway knowledge and seamless integration with hospital information systems.

Accounting information systems as institutional carriers: a case study of regulatory compliance in UK asset management houses

Previously, governments have responded to the impacts of economic failures and consequently have developed more regulations to protect employees, customers, shareholders and the economic wellbeing of the state. Our research addresses how Accounting Information Systems (AIS) may act as carriers for institutionalised practices associated with maintaining regulatory compliance within the context of UK Asset Management Houses. The AIS was found to be a strong conduit for institutionalized compliance related practices, utilising symbolic systems, relational systems, routines and artefacts to carry approaches relating to regulative, normative and cultural-cognitive strands of institutionalism. Thus, AIS are integral to the development and dissipation of best practice for the management of regulatory compliance. As institutional elements are clearly present we argue that AIS and regulatory compliance provide a rich context to further institutionalism. Since AIS may act as conduits for regulatory approaches, both systems adopters and clients may benefit from actively seeking to codify and abstract best practices into AIS. However, the application of generic institutionalized approaches, which may be applied across similar organizations, must be tempered with each firm’s business environment and associated regulatory exposure. A balance should be sought between approaches specific enough to be useful but generic enough to be universally applied.

Optimal performance fee and flow of funds in asset management contracts

This paper investigates the importance of ow of funds as an implicit incentive in the asset management industry. We build a two-period bi- nomial moral hazard model to explain the trade-o¤s between ow, per- formance and fees where e¤ort depends on the combination of implicit ( ow of funds) and explicit (performance fee) incentives. Two cases are considered. With full commitment, the investor s relevant trade-o¤ is to give up expected return in the second period vis-à-vis to induce e¤ort in the rst period. The more concerned the investor is with today s pay- o¤, the more willing he will be to give up expected return in the second period by penalizing negative excess return in the rst period. Without full commitment, the investor learns some symmetric and imperfect infor- mation about the ability of the manager to obtain positive excess return. In this case, observed returns reveal ability as well as e¤ort choices. We show that powerful implicit incentives may explain the ow-performance relationship with a numerical solution. Besides, risk aversion explains the complementarity between performance fee and ow of funds.

Optimal provision of implicit and explicit incentives in asset management contracts

This paper investigates the importance of the fiow of funds as an implicit incetive provided by investors to portfolio managers in a two-period relationship. We show that the fiow of funds is a powerful incentive in an asset management contract. We build a binomial moral hazard model to explain the main trade-ofIs in the relationship between fiow, fees and performance. The main assumption is that efIort depend" on the combination of implicit and explicit incentives while the probability distrioutioll function of returns depends on efIort. In the case of full commitment, the investor's relevant trade-ofI is to give up expected return in the second period vis-à-vis to induce efIort in the first período The more concerned the investor is with today's payoff. the more willing he will be to give up expected return in the following periods. That is. in the second period, the investor penalizes observed low returns by withdrawing resources from non-performing portfolio managers. Besides, he pays performance fee when the observed excess return is positive. When commitment is not a plausible hypothesis, we consider that the investor also learns some symmetríc and imperfect information about the ability of the manager to generate positive excess returno In this case, observed returns reveal ability as well as efIort choices exerted by the portfolio manager. We show that implicit incentives can explain the fiow-performance relationship and, conversely, endogenous expected return determines incentives provision and define their optimal leveIs. We provide a numerical solution in Matlab that characterize these results.

Delineation of specific management areas for coffee cultivation based on the soil-relief relationship and numerical classification

Predicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31. 7 ha from which samples were collected at depths of 0. 00-0. 20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30. 4l ha-1) and best coffee beverage quality (61 sacks ha-1). Based on the results, we believe that multivariate analysis, geostatistics and the soil-relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production. © 2012 Springer Science+Business Media New York.

The role of evaluation in decision-making in the management of health services

The management of health services is a complex administrative practice due to the breadth of the field of health and the need to reconcile individual, corporate and collective interests that are not always convergent. In this context, the evaluation needs to have specific characteristics in order to fulfill its role. The scope of this study was to establish the characteristics that the evaluation for the management of health services should have to contribute to decision-making. Usefulness, opportunity, feasibility, reliability, objectivity and directionality represent the set of principles upon which the evaluation should be based. Evaluations should lead to decisions that guarantee not only their efficiency and effectiveness but also their implementation. The evaluation process should ensure that decisions involve all stakeholders in order to render the implementation of decisions feasible, and take into account the health needs of the population and the goals set for the services. The scope of this article is to elicit a debate among different stakeholders in the evaluation in the hope that it can contribute to the reflection on the real usefulness of evaluations in which the political component in management has been increasingly prevalent.

Engineering knowledge-based variance-reduction simulation and G-dominance for structural frame robust optimization

[EN] This paper proposes the incorporation of engineering knowledge through both (a) advanced state-of-the-art preference handling decision-making tools integrated in multiobjective evolutionary algorithms and (b) engineering knowledge-based variance reduction simulation as enhancing tools for the robust optimum design of structural frames taking uncertainties into consideration in the design variables.The simultaneous minimization of the constrained weight (adding structuralweight and average distribution of constraint violations) on the one hand and the standard deviation of the distribution of constraint violation on the other are handled with multiobjective optimization-based evolutionary computation in two different multiobjective algorithms. The optimum design values of the deterministic structural problem in question are proposed as a reference point (the aspiration level) in reference-point-based evolutionary multiobjective algorithms (here g-dominance is used). Results including

On the Efficiency of the Benchmarks Used in the Asset Management

In this work we studied the efficiency of the benchmarks used in the asset management industry. In chapter 2 we analyzed the efficiency of the benchmark used for the government bond markets. We found that for the Emerging Market Bonds an equally weighted index for the country weights is probably the more suited because guarantees maximum diversification of country risk but for the Eurozone government bond market we found a GDP weighted index is better because the most important matter is to avoid a higher weight for highly indebted countries. In chapter 3 we analyzed the efficiency of a Derivatives Index to invest in the European corporate bond market instead of a Cash Index. We can state that the two indexes are similar in terms of returns, but that the Derivatives Index is less risky because it has a lower volatility, has values of skewness and kurtosis closer to those of a normal distribution and is a more liquid instrument, as the autocorrelation is not significant. In chapter 4 it is analyzed the impact of fallen angels on the corporate bond portfolios. Our analysis investigated the impact of the month-end rebalancing of the ML Emu Non Financial Corporate Index for the exit of downgraded bond (the event). We can conclude a flexible approach to the month-end rebalancing is better in order to avoid a loss of valued due to the benchmark construction rules. In chapter 5 we did a comparison between the equally weighted and capitalization weighted method for the European equity market. The benefit which results from reweighting the portfolio into equal weights can be attributed to the fact that EW portfolios implicitly follow a contrarian investment strategy, because they mechanically rebalance away from stocks that increase in price.

Progetto di integrazione di strumenti per l'asset management in funzione di privacy e sicurezza

Progetto per l'integrazione degli strumenti attualmente utilizzati per l'amministrazione degli asset in funzione anche della normativa in vigore.

Assessing sustainable forest management under REDD+: a community-based labour perspective

Reducing emissions from deforestation and forest degradation plus (REDD+) encourages economic support for reducing deforestation and conserving or increasing existing forest carbon stocks. The way in which incentives are structured affects trade-offs between local livelihoods, carbon emission reduction, and the cost-effectiveness of a REDD + programme. Looking at first-hand empirical data from 208 farming households in the Bolivian Amazon froma household economy perspective, our study explores two policy options: 1) compensated reduction of emissions fromold-growth forest clearing for agriculture, and 2) direct payments for labour input into sustainable forest anagement combined with a commitment not to clear old-growth forest. Our results indicate that direct payments for sustainable forest management – an approach that focuses on valuing farmers' labour input – can be more cost-effective than compensated reduction and in some cases is themost appropriate choice for achieving improved household incomes, permanence of changes, avoidance of leakages, and community-based institutional enforcement for sustainable forest management.

Power management techniques in an FPGA-Based WSN node for high performance application

In this work, the power management techniques implemented in a high-performance node for Wireless Sensor Networks (WSN) based on a RAM-based FPGA are presented. This new node custom architecture is intended for high-end WSN applications that include complex sensor management like video cameras, high compute demanding tasks such as image encoding or robust encryption, and/or higher data bandwidth needs. In the case of these complex processing tasks, yet maintaining low power design requirements, it can be shown that the combination of different techniques such as extensive HW algorithm mapping, smart management of power islands to selectively switch on and off components, smart and low-energy partial reconfiguration, an adequate set of save energy modes and wake up options, all combined, may yield energy results that may compete and improve energy usage of typical low power microcontrollers used in many WSN node architectures. Actually, results show that higher complexity tasks are in favor of HW based platforms, while the flexibility achieved by dynamic and partial reconfiguration techniques could be comparable to SW based solutions.

Metodología de integración de actividades de adaptación al cambio climático en proyectos de desarrollo rural

Hoy en día, ya no se puede pasar por alto la necesidad de una agricultura climáticamente más inteligente para los 500 millones de pequeños agricultores del mundo (Wheeler, 2013). Estos representan aproximadamente el 60 % de la agricultura mundial y proporcionan hasta el 80 % de los alimentos en los países en vías de desarrollo, los pequeños agricultores gestionan vastas extensiones de tierra y lamentablemente incluyen los grupos con mayor proporción de personas en estado de inseguridad alimentaria. El cambio climático está transformando el contexto para la agricultura en pequeña escala. Durante siglos, los pequeños agricultores desarrollaron la capacidad de adaptarse a los cambios ambientales y la variabilidad del clima, pero la velocidad y la intensidad del cambio climático está superando su capacidad de respuesta. Si no se cambia la manera que tenemos de lidiar con el cambio climático, tanto en acciones locales como globales, es muy probable que las personas rurales de entornos vulnerables tengan que adaptarse a un calentamiento global promedio de 4 °C por encima de los niveles preindustriales para el año 2100. Esta alza de las temperaturas aumentará aún más la incertidumbre y provocará desastres naturales como las sequías, la erosión del suelo, la pérdida de biodiversidad y la escasez agua sean mucho más frecuentes. Uno de los factores más importantes para los pequeños agricultores es que ya no pueden depender de los promedios históricos, por lo que es más difícil para ellos para planificar y gestionar la producción debido a los cambios en los patrones climáticos. Algunos de los principales cultivos de cereales (trigo, arroz, maíz, etc.) han alcanzado su umbral de tolerancia al calor y un aumento de la temperatura en torno a 1,5-2 °C podría ser muy perjudicial. Estos efectos a corto plazo podrían ser agravados por otros a medio y largo plazo, los que se refieren al impacto socioeconómico en términos de oportunidades y estabilidad política. El cambio climático está haciendo que el desarrollo de la pequeña agricultura resulte mucho más caro. A nivel de proyectos, los programas resistentes al clima tienen, normalmente, unos costos iniciales más altos, tanto de diseño como de implementación. Por ejemplo, es necesario incluir gastos adicionales en infraestructura, operación y mantenimiento; desarrollo de nuevas capacidades y el intercambio de conocimientos en torno al cambio climático. También se necesita mayor inversión para fortalecer las instituciones frente a los nuevos retos que propone el cambio climático, o generar información que pueda ser de escala reducida y con enfoques que beneficien a la comunidad, el cambio climático es global pero los efectos son locales. Es, por tanto, el momento de redefinir la relación entre agricultura y medio ambiente, ya que se hace cada vez más necesario buscar mejores y más eficientes maneras para responder al cambio climático. Es importante señalar que la respuesta al cambio climático no significa reinventar todo lo que se ha aprendido sobre el desarrollo, significa aplicar un esfuerzo renovado para hacer frente a los cambios en el trabajo de cooperación al desarrollo de una manera más sistemática y más amplia. Una respuesta coherente al cambio climático requiere que la comunidad internacional reconozca la necesidad de aumentar el apoyo financiero para la adaptación así como un mayor énfasis en proporcionar soluciones diseñadas para aumentar la resiliencia1 de los pequeños agricultores a las crisis relacionadas con el clima. Con el fin de responder a algunos de los desafíos mencionados anteriormente, esta investigación pretende contribuir a fortalecer las capacidades de los pequeños productores, aquellos que actualmente están la primera línea frente a los desafíos del cambio climático, promoviendo un desarrollo que tenga un impacto positivo en sus medios de vida. La tesis se compone de cuatro capítulos. El primero define y analiza el marco teórico de las interacciones entre el cambio climático y el impacto en los proyectos de desarrollo rural, especialmente los que tienen por objetivo mejorar la seguridad alimentaria de los pequeños productores. En ese mismo capítulo, se presenta una revisión global de la financiación climática, incluyendo la necesidad de asignar suficientes recursos para la adaptación. Con el fin de lograr una mayor eficacia e impacto en los proyectos de desarrollo, la investigación desarrolla una metodología para integrar actividades de adaptación al cambio climático, presentada en el segundo capítulo. Esta metodología fue implementada y validada durante el periodo 2012-14, trabajando directamente con diferentes equipos gubernamentales en diez proyectos del Fondo Internacional de Desarrollo Agrícola ). El tercero presenta, de manera detallada, la aplicación de la metodología a los estudios de caso de Bolivia y Nicaragua, así como un resumen de las principales conclusiones en la aplicación de los ocho países restantes. Finalmente, en el último capítulo se presentan las conclusiones y un esbozo de futuras líneas de investigación. Actualmente, el tema de la sostenibilidad ambiental y el cambio climático está ganando terreno en la agenda de desarrollo. Es por ello que se alumbra esta investigación, para que a través de los resultados obtenidos y la implementación de la metodología propuesta, sirva como herramienta estratégica para la planificación y la gestión operativa a la hora de integrar iniciativas de adaptación en los proyectos de desarrollo rural. ABSTRACT The need for climate-smart agriculture for the world’s 500 million smallholder farms cannot be overlooked: they account for 60 per cent of global agriculture, provide up to 80 per cent of food in developing countries, manage vast areas of land and make up the largest share of the developing world’s undernourished. Climate change is transforming the context for smallholder agriculture. Over centuries smallholders have developed the capacity to adapt to environmental change and climate variability, but the speed and intensity of climate change is outpacing the speed of historically autonomous actions. In the absence of a profound step-change in local and global action on climate change, it is Increasingly likely that poor rural people would need to contend with an average global warming of 4 degrees above pre-industrial levels by 2100, if not sooner. Such substantial climatic change will further increase uncertainty and exacerbate weather –related disasters, droughts, biodiversity loss, and land and water scarcity. Perhaps most significantly for smallholder farmers, they can no longer rely on historical averages, making it harder for them to plan and manage production when planting seasons and weather patterns are shifting. The major cereal crops (wheat, rice, maize, etc.) are at their heat tolerance threshold and with a 1.5-2°C temperature increase could collapse. These “first-round” effects will be compounded by second-round socio-economic impacts in terms of economic opportunities and political stability. Climate change is making the development of smallholder agriculture more expensive. At project level, climate-resilient programmes typically have higher up-front design and implementation costs – e.g. infrastructure costs and initially increased asset management, operation and maintenance, more capacity-building and knowledge sharing, strengthening institutions, greater project development costs (downscaled data generation and community-based approaches), and greater costs from enhancing cross sectorial and stakeholders collaboration. Consequently it’s time to redefine the relationship between agriculture and environment as we need to look better and more efficient ways to respond to climate change. It is important to note that responding to climate change does not mean to throwing out or reinventing everything that has been learnt about development. It means a renewed effort to tackle wider and well-known development changes in a more systematic way. A coherent response to climate change requires acknowledge of the need to increase the financial support for adaptation and a continued emphasis on provided solutions designed to increase the resilience of smallholders and poor communities to shocks, which are weather related. In order to respond to some of the challenges mentioned before, this research aims to contribute to strengthen the capacities of the smallholders and to promote a development that will positively impact in the rural livelihoods of the most vulnerable smallholders farmers; those who currently are in the first line facing the challenges of climate change. The thesis has four chapters. Chapter one describes and analyses the theoretical framework of the interactions between climate change and the impact on rural development projects, especially those aimed at improving the food security of smallholders producers. In this chapter a comprehensive review of climate financing is presented, including the need to allocate sufficient resources for adaptation. In order to achieve greater effectiveness and impact on development projects, the research develops in the second chapter a methodology to integrate adaptation activities for climate change. This methodology was implemented and validated during the 2012-14 period, working directly with various government teams in ten projects of the International Fund for Agricultural Development (IFAD). The third chapter presents in detail the application of the methodology to the case studies of Bolivia and Nicaragua, as well as a summary of the main conclusions of its implementation in the remaining eight countries. The final chapter exposes the main conclusions and future research topics. At a time when environmental sustainability and climate change issues are gaining more attention, the research and obtained results through the implementation of the model methodology proposed, can be considered a strategic tool for planning and operational management to integrate adaptation initiatives in rural development projects. The use of the proposed methodology will boost incentives to scale up climate resilience programmes and integrate adaptation to climate change into wider smallholder development programmes.

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.

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%.