928 resultados para universal portfolio
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Este trabalho teve o intuito de criar uma linha de montagem universal através da qual será dada formação aos atuais operadores e a novos que possam vir a pertencer ao departamento de montagem na empresa Grohe Portugal. Para tal era necessário saber realizar um estudo de métodos e um estudo de tempos sobre os vários processos existentes no departamento de montagem. Com esse intuito foi elaborada uma pesquisa sobre as referidas temáticas, onde ficou evidente a sua importância e a sua imprescindibilidade. Inicialmente houve também um acompanhamento das montagens dos produtos nas várias linhas, de forma a adquirir conhecimento sobre as características dos processos de montagem existentes no departamento. Os pontos mais importantes durante o estudo de métodos e tempos realizado foram a definição de toda a estrutura do processo, das ferramentas e materiais a utilizar, não esquecendo a relação entre o operador e as suas ferramentas e a medição de tempos de todas as tarefas necessárias para cada processo de montagem. A linha de montagem, cujo projeto se desenvolveu, é composta por três bancadas e consiste num conjunto de postos de trabalho onde são executadas as operações através de máquinas, do trabalho humano, ou da sua conjugação, dispostos numa determinada sequência, sendo alguns deles amovíveis. Para a realização e conclusão deste projeto foram superadas diversas etapas, sendo que as mais relevantes foram: a análise dos processos de montagem; estudo de tempos de todas as famílias de produtos a serem implementados na linha de formação; - Definição da estrutura da linha de montagem; - Definição das rampas e dos tubos de abastecimento da linha; - Desenho da linha de montagem em 3D no software SolidWorks. Paralelamente foram também desenvolvidos estudos de tempos sobre alguns produtos com o intuito de serem implementadas melhorias, ou apenas para o controlo de tempos necessários para a realização das operações Por último, foi também elaborada uma recolha de ferramentas existentes no departamento de montagem para serem elaborados manuais de instruções das ferramentas fabricadas internamente, com o objetivo de obter a certificação OSHAS 180001 e de criar documentos com a listagem de materiais necessários para cada produto.
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OBJECTIVE: To describe the patterns of deliveries in a birth cohort and to compare vaginal and cesarean section deliveries. METHODS: All children born to mothers from the urban area of Pelotas, Brazil, in 2004, were recruited for a birth cohort study. Mothers were contacted and interviewed during their hospital stay when extensive information on the gestation, the birth and the newborn, along with maternal health history and family characteristics was collected. Maternal characteristics and childbirth care financing - either private or public healthcare (SUS) patients - were the main factors investigated along with a description of C-sections distribution according to day of the week and delivery time. Standard descriptive techniques, Χ² tests for comparing proportions and Poisson regression to explore the independent effect of C-section predictors were the methods used. RESULTS: The overall C-section rate was 45%, 36% among SUS and 81% among private patients, where 35% of C-sections were reported elective. C-sections were more frequent on Tuesdays and Wednesdays, reducing by about a third on Sundays, while normal deliveries had a uniform distribution along the week. Delivery time for C-sections was markedly different among public and private patients. Maternal schooling was positively associated with C-section among SUS patients, but not among private patients. CONCLUSIONS: C-sections were almost universal among the wealthier mothers, and strongly related to maternal education among SUS patients. The patterns we describe are compatible with the idea that C-sections are largely done to suit the doctor's schedule. Drastic action is called for to change the current situation.
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The scope of this paper is to adapt the standard mean-variance model of Henry Markowitz theory, creating a simulation tool to find the optimal configuration of the portfolio aggregator, calculate its profitability and risk. Currently, there is a deep discussion going on among the power system society about the structure and architecture of the future electric system. In this environment, policy makers and electric utilities find new approaches to access the electricity market; this configures new challenging positions in order to find innovative strategies and methodologies. Decentralized power generation is gaining relevance in liberalized markets, and small and medium size electricity consumers are also become producers (“prosumers”). In this scenario an electric aggregator is an entity that joins a group of electric clients, customers, producers, “prosumers” together as a single purchasing unit to negotiate the purchase and sale of electricity. The aggregator conducts research on electricity prices, contract terms and conditions in order to promote better energy prices for their clients and allows small and medium customers to benefit improved market prices.
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Electricity markets are systems for effecting the purchase and sale of electricity using supply and demand to set energy prices. Two major market models are often distinguished: pools and bilateral contracts. Pool prices tend to change quickly and variations are usually highly unpredictable. In this way, market participants often enter into bilateral contracts to hedge against pool price volatility. This article addresses the challenge of optimizing the portfolio of clients managed by trader agents. Typically, traders buy energy in day-ahead markets and sell it to a set of target clients, by negotiating bilateral contracts involving three-rate tariffs. Traders sell energy by considering the prices of a reference week and five different types of clients. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.
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The economic crisis that has been affecting Europe in the 21st century has modified social protection systems in the countries that adopted, in the 20th century, universal health care system models, such as Spain. This communication presents some recent transformations, which were caused by changes in Spanish law. Those changes relate to the access to health care services, mainly in regards to the provision of care to foreigners, to financial contribution from users for health care services, and to pharmaceutical assistance. In crisis situations, reforms are observed to follow a trend which restricts rights and deepens social inequalities.
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Informal learning is becoming more and more important: Nowadays people learn more this way, through the Internet, than in schools or normal trainings. But they don’t get any certificateswhich attest this fact. So they can't show the employer or teacher etc. that they have learned something. TRAILER project aim is to solve this problem by developing a special tool for managing of all competences and skills acquired through informal learning experiences. Both from the perspective of the user and the perspective of an institution or a company. We’ll present the IT tool to show how people can make their informal learning outcomes visible. TRAILER helps users to gather all information about process and outcomes of their informal learning. Users can share this with friends, colleagues or their employees, teachers and so on. They can create an interactive e-portfolio which can be attached to their CV, cover letter or Knowledge Management system etc. After the presentation of the tool we will discuss possible areas and fields to use this tool. Also we would like to discuss all possible use of the tool by the participants and another needs in this area. Moreover we want to discuss other problems in informal learning process, ways to solve the problems and discuss other ideas of different IT tools which could help in informal learning process. During the discussion we’ll use an interactive respond system which can be used on mobile devices: it makes possible for participants to share their opinions individually before knowing another persons' opinion.
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As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.
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O presente artigo tem como objetivo apresentar uma grelha de planificação da intervenção facilitadora do desenvolvimento de práticas pedagógicas inclusivas. Para o efeito, procedeu-se a uma revisão da literatura centrada nos conceitos de Educação Inclusiva e de Desenho Universal para a Aprendizagem (Universal Design for Learning), a qual permitiu identificar e fundamentar a pertinência das dimensões a considerar na planificação da intervenção pedagógica, de modo a assegurar o acesso, a participação e o sucesso de todos os alunos. Com a apresentação da grelha de planificação da intervenção pedagógica pretende-se, em última análise, sublinhar a necessidade e a importância de desenvolver processos de planificação que disponibilizem formas diversificadas de motivação e envolvimento dos alunos, que equacionem múltiplos processos de apresentação dos conteúdos a aprender e, por último, que possibilitem a utilização de diversas formas de ação e expressão por parte dos alunos.
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FEMS Microbiology Ecology, Vol. 57, nº 1
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Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.
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Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player’s portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and offpeak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator – OMIE.
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8th International Workshop on Multiple Access Communications (MACOM2015), Helsinki, Finland.
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Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Didáctica do Inglês
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Filosofia