Lean and quality management integration: improvement program implementation in a service company

Lean Thinking is an important pillar in the success of any program of continuous improvement process. Its tools are useful means in the analysis, control and organization of important data for correct decision making in organizations. This project had as main objective the design of a program of quality improvement in Eurico Ferreira, S.A., based on the evaluation of customer satisfaction and the implementation of 5S. Subsequently, we have selected which business area of the company to address. After the selection, there was an initial diagnostic procedure, identifying the various points of improvement to which some tools of Lean Thinking have been applied, in particular Value Stream Mapping and 5S methodology. With the first, we were able to map the current state of the process in which all stakeholders were represented as well as the flow of materials and information throughout the process. The 5S methodology allowed to act on the wastage, identifying and implementing various process improvements.

Balanced Scorecard

Mestrado Em Engenharia Mecânica - Ramo Gestão Industrial

Identification of factors and groups at risk of infection with Schistosoma mansoni: a strategy for the implementation of control measures?

A fourteen year schistosomiasis control program in Peri-Peri (Capim Branco, MG) reduced prevalence from 43.5 to 4.4%; incidence from 19.0 to 2.9%, the geometric mean of the number of eggs from 281 to 87 and the level of the hepatoesplenic form cases from 5.9 to 0.0%. In 1991, three years after the interruption of the program, the prevalence had risen to 19.6%. The district consists of Barbosa (a rural area) and Peri-Peri itself (an urban area). In 1991, the prevalence in the two areas was 28.4% and 16.0% respectively. A multivariate analysis of risk factors for schistosomiasis indicated the domestic agricultural activity with population attributive risk (PAR) of 29.82%, the distance (< 10 m) from home to water source (PAR = 25.93%) and weekly fishing (PAR = 17.21%) as being responsible for infections in the rural area. The recommended control measures for this area are non-manual irrigation and removal of homes to more than ten meters from irrigation ditches. In the urban area, it was observed that swimming at weekly intervals (PAR = 20.71%), daily domestic agricultural activity (PAR = 4.07%) and the absence of drinking water in the home (PAR=4.29%) were responsible for infections. Thus, in the urban area the recommended control measures are the substitution of manual irrigation with an irrigation method that avoids contact with water, the creation of leisure options of the population and the provision of a domestic water supply. The authors call attention to the need for the efficacy of multivariate analysis of risk factors to be evaluated for schistosomiasis prior to its large scale use as a indicator of the control measures to be implemented.

The web feature service: transaction standard: an example of prototype implementation

Trabalho de Projecto apresentado como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica

Vertex component analysis GPU-based implementation for hyperspectral unmixing

Endmember extraction (EE) is a fundamental and crucial task in hyperspectral unmixing. Among other methods vertex component analysis ( VCA) has become a very popular and useful tool to unmix hyperspectral data. VCA is a geometrical based method that extracts endmember signatures from large hyperspectral datasets without the use of any a priori knowledge about the constituent spectra. Many Hyperspectral imagery applications require a response in real time or near-real time. Thus, to met this requirement this paper proposes a parallel implementation of VCA developed for graphics processing units. The impact on the complexity and on the accuracy of the proposed parallel implementation of VCA is examined using both simulated and real hyperspectral datasets.

Processo de transição do sistema de acreditação para o sistema de certificação de entidades formadoras, segundo o referencial normativo da DGERT: o caso da Iconefile, Formação & Consultoria Lda.

Trabalho de Projeto

A importância das consultoras no processo de internacionalização das micro, pequenas e médias empresas em Portugal

Relatório de Estágio Apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Mestre Inês Veiga Pereira

Gestão de risco: articulação com o planeamento estratégico e a contabilidade de gestão: estudo aplicado a empresas não financeiras do concelho de Vila do Conde

Este trabalho de investigação tem como objetivo analisar se as empresas do concelho de Vila do Conde, efetuam planeamento estratégico, contabilidade de gestão e/ou gestão de risco. Pretende-se ainda verificar se o facto de existir articulação entre estas três áreas da empresa influencia o resultado do seu EBIT (Earning Before Interest and Taxes). Através da literatura relevante, verificou-se que o planeamento estratégico, a contabilidade de gestão e a gestão de risco têm progredido de modo a responder às mudanças do meio envolvente onde as empresas estão a operar. Contudo, em termos práticos, este estudo permitiu verificar que a implementação da gestão de risco e da contabilidade de gestão no tecido empresarial de Vila do Conde tem sido muito lenta. Os dados foram recolhidos através dum inquérito eletrónico efetuado a 505 empresas do concelho de Vila do Conde de diversas atividades económicas pertencentes aos três grandes sectores (serviços, indústria e comércio). De acordo com os resultados obtidos, concluiu-se que apenas 17% das empresas do concelho de Vila do Conde efetuam simultâneamente planeamento estratégico, contabilidade de gestão e gestão de risco. Conclui-se ainda que as empresas do concelho de Vila do Conde que efetuam em simultâneo planeamento estratégico, contabilidade de gestão e gestão de risco apresentam em média um EBIT (2010) aparenta ser superior às que não fazem planeamento estratégico, contabilidade de gestão e gestão de risco.

China's space program : a new tool for PRC "soft power" in international relations?

When China launched an anti-satellite (ASAT) weapon in January 2007 to destroy one of its inactive weather satellites, most reactions from academics and U.S. space experts focused on a potential military “space race” between the United States and China. Overlooked, however, is China’s growing role as global competitor on the non-military side of space. China’s space program goes far beyond military counterspace applications and manifests manned space aspirations, including lunar exploration. Its pursuit of both commercial and scientific international space ventures constitutes a small, yet growing, percentage of the global space launch and related satellite service industry. It also highlights China’s willingness to cooperate with nations far away from Asia for political and strategic purposes. These partnerships may constitute a challenge to the United States and enhance China’s “soft power” among key American allies and even in some regions traditionally dominated by U.S. influence (e.g., Latin America and Africa). Thus, an appropriate U.S. response may not lie in a “hard power” counterspace effort but instead in a revival of U.S. space outreach of the past, as well as implementation of more business-friendly export control policies.

Strategic environmental assessment in Tróia (Portugal)

Proceedings of the First International Conference on Coastal Conservation and Management in the Atlantic and Mediterranean, p. 91-98

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines

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 environment. 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. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network, originating promising results. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.

Auditorias energéticas – definição de um plano de ação para edifícios de serviços

O setor dos edifícios representa perto de 40% do consumo de energia final na Europa e cerca de 30% no caso de Portugal [1]. Para fazer face a esta situação foi elaborada e aprovada uma Diretiva Europeia Relativa ao Desempenho Energético dos Edifícios, que foi transposta a nível nacional através de um pacote legislativo assente em três pilares, nomeadamente o Sistema Nacional de Certificação Energética e da Qualidade do Ar Interior (SCE), o Regulamento dos Sistemas Energéticos de Climatização em Edifícios (RSECE) e o Regulamento das Características de Comportamento Térmico dos Edifícios (RCCTE). Atuando ao nível da eficiência energética o consumo de energia nos edifícios pode diminuir para metade, para tal é necessário proceder-se à execução de auditorias energéticas para poder determinar as soluções mais adequadas de forma a reduzir os desperdícios e custos associados ao consumo de energia. Nesta dissertação desenvolveu-se uma metodologia para a realização de auditorias energéticas em edifícios que assenta essencialmente em cinco etapas, nomeadamente: o planeamento, a análise do estado atual, o planeamento estratégico, a elaboração de relatório e a implementação de medidas com acompanhamento de resultados. A aplicação desta metodologia constitui uma grande ajuda na realização de auditorias energéticas conferindo uma maior qualidade à sua execução. De forma a validar a metodologia efetuada foi realizado o estudo de três casos práticos relativos a três agências bancárias (denominadas de A, B e C), em que duas delas pertencem a um projeto de eficiência energética que engloba 50 agências e uma outra que pertence a um outro projeto de apenas 3 agências. A metodologia segue a mesma lógica para as três agências, no entanto, em termos de validação, a última instalação baseia-se nos consumos dos dados monitorizados em contínuo.