Melhoria do processo produtivo numa metalomecânica

Este projeto foi realizado na Empresa Fernando Jesus Mourão & Cª Lda, durante o ano de 2012, e teve como objetivo a melhoria do processo produtivo. Esta melhoria assentou na identificação de possíveis pontos de desperdício, no estudo e avaliação de soluções e por fim na definição de propostas de melhoria globais que visem ajustar o fluxo do processo produtivo à procura e simultaneamente minimizar custos operacionais. De forma a atingir estas metas, foi feito um levantamento exaustivo do processo produtivo e das respetivas operações. Neste estudo, apesar do elevado numero de oportunidades de melhoria, foi possível identificar duas áreas que se revelaram criticas e fundamentais para a introdução da filosofia de melhoria continua na empresa. Estas áreas que são o objeto de estudo desta dissertação são: o corte laser e a organização do pavilhão 3. Uma vez identificados as áreas críticas, procedeu-se a uma análise e definição das ações de melhoria a empreender de modo a melhorar o fluxo produtivo e a sua organização, e simultaneamente reduzir custos. Na área de corte laser procurou-se implementar a filosofia de produção “Lean” nomeadamente através da ferramenta de análise PDCA (Plan-Do-Check-Act), como ferramenta auxiliar do estudo para elaborar um plano de ação, implementar as ações, analisar os resultados e procurar a manutenção dos mesmos. Na intervenção do pavilhão 3 foi usada a técnica dos 5S para organizar e agilizar o funcionamento do mesmo. Todo o trabalho assenta na filosofia Lean e nos seus princípios, tendo-se por isso utilizado as ferramentas especificas Lean na concretização das tarefas executadas no seu âmbito. Para medir os resultados, antes e depois das ações implementadas, foi utilizada o indicador de eficiência (Overall Equipment Effectiveness) para o caso do processo de corte laser. Após a implementação das medidas definidas no processo de corte laser foi possível observar uma melhoria do indicador OEE de cerca de 20 por cento. Por outro lado as melhorias implementadas através da ferramenta dos 5S no pavilhão 3, trouxe ganhos visíveis de aumento de produtividade que beneficiaram o tempo de resposta da empresa.

O modo de internacionalização e investimento direto português em economias em desenvolvimento : o caso "Grupo" Jerónimo Martins na Colômbia

Mestrado em Contabilidade e Gestão das Instituições Financeiras

Dynamics of transmission of Trypanosoma cruzi in a rural area of Argentina: III. Persistence of T. cruzi parasitemia among canine reservoirs in a two-year follow-up

A new cross-sectional survey of household- associated mongrel dogs as well as follow-up of previously parasitemic individuals was carried out in 1984 toy means of xenodiagnosis and serologic techniques to get a deeper insight into the relationship of T. cruzi parasitemia and age among canine hosts in a rural area of Argentina. Persistence of detectable parasitemia was age-independent, or at most, loosely related to age, confirming the pattern observed in 1982. Similarly no significant age-decreasing effect was recorded among seropositive dogs in: a) the probability of detecting parasites in a 2-year follow-up; b) their intensity of infectiousness (=infective force) for T. infestans 3rd-4th instar nymphs, as measured by the percentage of infected bugs observed in each dog xenodiagnosis. Moreover, not only was the infective force of seropositive dogs for bugs approximately constant through lifetime, but it was significantly higher than the one recorded for children in the present survey, and for human people by other researchers. Therefore, and since T. infestans field populations show high feeding frequencies on dogs, the latter are expected to make the greatest contribution to the pool of infected vectors in the rural household of Argentina. This characteristic should be sufficient to involve canine reservoirs definitely as a risk factor for human people residing in the same house. The increased severity of parasitemia observed among dogs in this survey may be related to the acute undernutrition characteristic of canine populations of poor rural areas in our country, which is expected to affect the ability of the host to manage the infection.

Predictive value of serologic tests in the diagnosis and follow-up of patients with paracoccidioidomycosis

A serologic study was undertaken in a group of 43 patients with active paracoccidioidomycosis who were treated in the same form (ketoconazole), for identical periods of time (6 months), and folio wed-up for various periods posttherapy. The tests employed were agar gel immunodiffusion (AGID) and complement fixation (FC). Also studied were 50 sera from patients with proven histoplasmosis and pulmonary aspergilloma, 30 patients with culturaly proven tuberculosis as well as 92 specimens from healthy individuals, residents in the endemic area for paracoccidioidomycosis. A single lot of yeast filtrate antigen was used throughout the study. The value of each test was measured according to GALEN and GAMBINO6. Both tests were highly sensitive, 89 and 93% respectively. Regarding their specificity, the AGID was totally specific while the CF exhibited 96.6% and 97% specificity in front of tuberculosis patients and healthy individuals respectively and 82% in comparison with patients with other mycoses. The concept of predictive value, that is, the certainty one has in accepting a positive test as diagnostic of paracoccidioidomycosis, favored the AGID procedure (100%) over the CF test. The latter could sort out with 93% certainty a patient with paracoccidioidomycosis among a group of healthy individuals and with 97.5% in the case of TB patients; when the group in question was composed by individuals with other deep mycoses, such certainty was lower (81%). The above results indicate that both the AGID and the CF tests furnish results of high confidence; one should not relay, however, in the CF alone as a means to establish the specific diagnosis of paracoccidioidomycosis.

Antibody response to heat-inactivated hepatitis B vaccine (CLB-3mg) in hemodialysis patients and occupational risk personnel: a one year follow-up

Immune response against hepatitis B vaccine (CLB 3mg) was evaluated in 59 hemodialysis patients and 20 occupational risk personnel. Seroconversion was induced in 52.5% and 70.0% respectively. Twelve months after the first dose, 37.5% of patients and 60.0% of occupational risk personnel had detectable anti-HBs level. Antibody level was expressed in sample ratio units (SRU). Considering only the responders, in the patients group 38.7% had a low anti-HBs response (2.1-9.9 SRU) 32.3% a medium response (10-99.9 SRU) and 29.0% a high response (>100 SRU) while in occupational risk personnel these values were 14.3%, 64.3% and 21.4% respectively. The authors suggest the use of HBV vaccines with more elevated HBsAg concentration or a reinforced immunization schedule to improve the anti-HBs response not only for patients but also for healthy persons.

Preventing human trafficking for the purpose of sexual exploitation: the need for a bottom-up approach : the case-study of Brazilians trafficked to Portugal

Masters Thesis – Academic Year 2007/2008 - European Master’s Degree in Human Rights and Democratization (E.MA) - European Inter-university Centre for Human Rights and Democratization (EIUC) -Faculdade de Direito, Universidade Nova de Lisboa (UNL)

Fisioterapia e reabilitação em Portugal : o financiamento como factor crítico do desempenho

RESUMO - Num contexto em que a prestação de cuidados de Fisioterapia e Reabilitação é identificada como apresentando uma desigualdade e desajustamento da oferta regional superior à dos restantes cuidados de saúde, assim como uma falta de adequação dos preços praticados, perante as condições de oferta e procura actualmente existentes, o presente trabalho tem por objectivo investigar, no domínio do Desempenho, a influência do Financiamento na definição da prestação destes cuidados, tendo como pressuposto genérico que as decisões estratégicas e a reestruturação produtiva das organizações de saúde são condicionadas pelo sistema de preços. Considera-se que o actual sistema de Financiamento/Pagamento provoca um constrangimento na qualidade da resposta destes cuidados a dois níveis: um primeiro nível, ao colocar o pagamento no âmbito dos Meios Complementares de Diagnóstico e Terapêutica (MCDTs) a contratar pelo Serviço Nacional de Saúde, com isso determinando a configuração organizativa do sistema; um segundo nível de constrangimento que incide sobre as estruturas das organizações prestadoras, pela modelação que induz, nomeadamente a nível da sua produção. Na impossibilidade de tratar as duas dimensões do problema, pela falta de indicadores de desempenho deste sector, analisou-se, relativamente ao segundo nível de constrangimento, a produção de fisioterapia de três organizações que, potencialmente, teriam o mesmo o mesmo perfil de oferta por se enquadrarem num mesmo perfil de procura. Os resultados reflectem o pressuposto genérico do trabalho e abrem espaço para colocar como futura hipótese de investigação a razão da(s) causa(s) que poderão estar subjacentes à discrepância encontrada na média de tratamentos por sessão (duas vezes e meia) na produção das duas organizações que foi possível comparar.------------------- ABSTRACT - In a context where the provision of Physical Therapy and Rehabilitation care is identified as having a regional mismatch of supply and inequality above all the others health cares, and a lack of adequacy of prices in the current conditions of supply and demand, the present work has, as main purpose, to investigate, in the field of Performance, the Payment’s influence in shaping the provision of such health care. The general assumption tracking this analysis is that the strategic decisions on productive structure of health care organizations are influenced by the price systems. It is considered that the current Finance / Payment system causes two levels of constraints on the quality of such health care: a first constraint, as it putts its payment under the Supplementary Means of Diagnosis and Therapy (MCDTs), witch ends up establishing the organizational setup of the system; a second level of constraint by modelling the internal structure of these organizations. The lack of indicators characterizing the performance of this sector, addressed the present study to the second dimension, in witch was analysed the physical therapy production in three organizations that, potentially, would have the same profile of supply responding to similar characteristics of demand. The results reflect the above mentioned general assumption that supported the work, and leave an open space for future research, about the reason (s) that lay behind the discrepancy found between the average of treatments per session (two and a half times) in

Day-ahead Resource Scheduling Including Demand Response for Electric Vehicles

The energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and massive gridable vehicle (V2G) use is envisaged. This paper presents a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and V2G. The main focus is the comparison of different EV management approaches in the day-ahead energy resources management, namely uncontrolled charging, smart charging, V2G and Demand Response (DR) programs i n the V2G approach. Three different DR programs are designed and tested (trip reduce, shifting reduce and reduce+shifting). Othe r important contribution of the paper is the comparison between deterministic and computational intelligence techniques to reduce the execution time. The proposed scheduling is solved with a modified particle swarm optimization. Mixed integer non-linear programming is also used for comparison purposes. Full ac power flow calculation is included to allow taking into account the network constraints. A case study with a 33-bus distribution network and 2000 V2G resources is used to illustrate the performance of the proposed method.

Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling

The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.

Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids

A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents. The proposed system can assess the impact of demand response programs.

Decision Support Concerning Demand Response Programs Design and Use – A Conceptual Framework and Simulation Tool

Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.

Distributed Generation and Demand Response Dispatch for a Virtual Power Player Energy and Reserve Provision

Recent changes in the operation and planning of power systems have been motivated by the introduction of Distributed Generation (DG) and Demand Response (DR) in the competitive electricity markets' environment, with deep concerns at the efficiency level. In this context, grid operators, market operators, utilities and consumers must adopt strategies and methods to take full advantage of demand response and distributed generation. This requires that all the involved players consider all the market opportunities, as the case of energy and reserve components of electricity markets. The present paper proposes a methodology which considers the joint dispatch of demand response and distributed generation in the context of a distribution network operated by a virtual power player. The resources' participation can be performed in both energy and reserve contexts. This methodology contemplates the probability of actually using the reserve and the distribution network constraints. Its application is illustrated in this paper using a 32-bus distribution network with 66 DG units and 218 consumers classified into 6 types of consumers.

Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment

Smart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management.

Dynamic load management in a smart home to participate in demand response events

In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heating systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources’ management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system.