Today electronics becomes more and more complex and to keep low costs and power consumption, both digital and analog parts are implemented on the same chip. The degree of automization for the digital parts have increased fast and is high, but for the analog parts this has not come through. This have created a big gap between the degrees of automization for the two parts and makes the analog parts the bottleneck in electronics develop. Research is ongoing at Electronics systems group at Linköping University target the increase of design automization for analog circuits. An optimizationbased approach for device sizing is developed and for this a good optimization method is needed which can find good solutions and meet the specification parameters.

A multivariate cross-sectional model is used in this thesis to proxy for expected earnings and to estimate return on equity for 214 companies over the period 2009-2013, using Swedish data. The model, which has never been tested on Swedish data before, is first confirmed to function as a forecasting model for expected return. Furthermore, the model is evaluated through a comparison with two univariate models based on the assumption that return on equity follows a mean reversion process. Forecast accuracy is calculated as the difference of estimated returns and actual returns. The results show that the univariate models' forecasts are superior to the multivariate model's..

This paper describes the development of a simulation model for the ambulance flow in the Västra Götalands-region of Sweden, and an analysis tool for the output of the simulation model. The aim of the simulation model was to be able to evaluate the outcome from changes in the ambulance operations, such as a reorganization of ambulances or an increase in intensity of the ambulance calls. This evaluation is meant to serve as decision support for the strategic planning of the ambulance operations. The analysis tool was developed to visualize the abundant geographical data produced by the simulation model in a meaningful way. The simulation model was validated against historical data which showed that the dispatch time for the highest prioritized ambulance calls corresponds well with historical data.

The reindeer planning system (Renbruksplanen, RBP) is a communication and planning tool designed for Sami groups. A key purpose of this is that it will act as a tool in consultation with other market players, including forestry. Sami groups have asked for a model of how this can be used in a flexible manner. With the Swedish Forest Agency as a project manager, a communication model for how to use the RBP has been designed. It consists of a number of points divided into ?before?, ?during? and ?after? the consultation.

This paper describes the development of a simulation model for the ambulance flow in the Västra Götalands-region of Sweden, and an analysis tool for the output of the simulation model. The aim of the simulation model was to be able to evaluate the outcome from changes in the ambulance operations, such as a reorganization of ambulances or an increase in intensity of the ambulance calls. This evaluation is meant to serve as decision support for the strategic planning of the ambulance operations. The analysis tool was developed to visualize the abundant geographical data produced by the simulation model in a meaningful way. The simulation model was validated against historical data which showed that the dispatch time for the highest prioritized ambulance calls corresponds well with historical data.

The Smart Grid technology has during the last decade been established as a way to create a greater flexibility on the electricity grid that will be needed as the development moves towards an increased share of renewable primary energy sources in the electricity production. One part of the Smart Grid technology is the ability to shift loads in time, to adapt to either price or emissions, known as Demand Response. This project, which was conducted at KTH in collaboration with the consulting corporation Capgemini, examines the economic, environmental and social aspects of the Demand Response technology. In the project, three household products are used in a model that derives the potential savings in costs and emissions of CO2e. The results show that the actual savings measured in SEK are small, but that the savings measured in percent can be as high as 20 percent. Reduction of CO2e emissions is slightly lower.

District heating covers around 80 % of the heating demand in apartment buildings and 10 % in single-family homes in Sweden. In the year 2010 the total input of energy to the Swedish district heating grids was about 70 TWh, which corresponds to 11 % of the total energy input to the whole energy system in the country. Through the combined production of heat and power the CHP-plants often reaches an efficiency of 90 % from energy in the fuel to produced heat and power. In order to keep the efficiency high it is important for the owners of the plant to have good knowledge about the plants performance at different operation points. Strängnäs Energi AB initiated this diploma work together with FVB Sverige ab in order to come up with a program for short term planning of the production of heat and power at the company´s CHP-plant.The work consists of three main parts.

The Smart Grid technology has during the last decade been established as a way to create a greater flexibility on the electricity grid that will be needed as the development moves towards an increased share of renewable primary energy sources in the electricity production. One part of the Smart Grid technology is the ability to shift loads in time, to adapt to either price or emissions, known as Demand Response. This project, which was conducted at KTH in collaboration with the consulting corporation Capgemini, examines the economic, environmental and social aspects of the Demand Response technology. In the project, three household products are used in a model that derives the potential savings in costs and emissions of CO2e. The results show that the actual savings measured in SEK are small, but that the savings measured in percent can be as high as 20 percent. Reduction of CO2e emissions is slightly lower.

Many researchers emphasize the increasing strategic importance of supply chain management, but there is still a lack of concrete guidance for managers faced with strategic decisions in supply chain. Within decision-making theories, the rational decision-making model is the most commonly used. This because of its suitable foundation, enabling a structure to the complex decision process. The rational decision-making model is today not developed to include the aspects of strategic decision-making made in supply chain. The purpose of this research is to adjust a structured rational decision-making model, making it applicable for strategic decision-making in supply chain.

The Smart Grid technology has during the last decade been established as a way to create a greater flexibility on the electricity grid that will be needed as the development moves towards an increased share of renewable primary energy sources in the electricity production. One part of the Smart Grid technology is the ability to shift loads in time, to adapt to either price or emissions, known as Demand Response. This project, which was conducted at KTH in collaboration with the consulting corporation Capgemini, examines the economic, environmental and social aspects of the Demand Response technology. In the project, three household products are used in a model that derives the potential savings in costs and emissions of CO2e. The results show that the actual savings measured in SEK are small, but that the savings measured in percent can be as high as 20 percent. Reduction of CO2e emissions is slightly lower.

The Swedish processor Findus contracts approximately 500 pea producers annually to secure the company?s supply of green peas for human consumption. A production contract, which has had roughly the same design for decades, regulates the relation between Findus and the pea producers. Agriculture is typically a risky business. The main sources of risk in agricultural production are production risk and price risk.

The county hospital of Dalarna has for the last couple of years carried through a process of digitalization. The result is that within the county it exists image plate systems from two different manufacturers. In an attempt to create a tool for dose optimization and dose surveillance the county of Dalarna would like to investigate if the exposure index from Agfa and Fuji is suitable as a dose indicator. An investigation of the exposure index, S, from Fuji has already been done. This thesis has been continuing the investigation by evaluating the stability of the exposure index, lgM, from Agfa.

The Smart Grid technology has during the last decade been established as a way to create a greater flexibility on the electricity grid that will be needed as the development moves towards an increased share of renewable primary energy sources in the electricity production. One part of the Smart Grid technology is the ability to shift loads in time, to adapt to either price or emissions, known as Demand Response. This project, which was conducted at KTH in collaboration with the consulting corporation Capgemini, examines the economic, environmental and social aspects of the Demand Response technology. In the project, three household products are used in a model that derives the potential savings in costs and emissions of CO2e. The results show that the actual savings measured in SEK are small, but that the savings measured in percent can be as high as 20 percent. Reduction of CO2e emissions is slightly lower.

This thesis treats the subject of a complete steady state and dynamic model of the VSC-HVDC covering both the AC and DC system-side of the converter. The topology of the model is recreated after the scheduled transmission line in the south of Sweden, called SydVa?stla?nken. The topology covers both a simple two terminal connection as well as a multi-terminal one. This model is to be implemented in the power system simulation program ARISTO.

The purpose of this development project is to create a model for working with a high school project in Electrical and Energy Program. It should be conducted in a form like companies do according to the goals from The Swedish National Agency for Education. In order to fully perform this we use the concept of Young Entrepreneurship. The model is created according to the new conditions from The National Electrical Safety Board. There is now an exception saying that a student during education is released from the demand of employment that is the normal procedure where you are under supervision from a certified electrician. During the project there has been theoretical and practical examinations in order to clear out the advantages and disadvantages using this model, but also to examine whether it is useful in the future and to what extent it can be used. The result indicates that the model is useful and fulfills the goals from The Swedish National Agency for Education but that the model has its limitations and difficulties.