Quality of process modeling using BPMN: a model-driven approach

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

Património industrial e turismo cultural: contributo para a criação de um itinerário turístico no Centro Histórico de Lisboa

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Práticas Culturais para os Municípios

Dinâmicas de revitalização de frentes Ribeirinhas no período Pós-Industrial: o Arco Ribeirinho Sul do Estuário do Tejo

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Geografia e Planeamento Regional

Predictive analytical and numerical modeling for orthogonal cutting

In this thesis, a predictive analytical and numerical modeling approach for the orthogonal cutting process is proposed to calculate temperature distributions and subsequently, forces and stress distributions. The models proposed include a constitutive model for the material being cut based on the work of Weber, a model for the shear plane based on Merchants model, a model describing the contribution of friction based on Zorev’s approach, a model for the effect of wear on the tool based on the work of Waldorf, and a thermal model based on the works of Komanduri and Hou, with a fraction heat partition for a non-uniform distribution of the heat in the interfaces, but extended to encompass a set of contributions to the global temperature rise of chip, tool and work piece. The models proposed in this work, try to avoid from experimental based values or expressions, and simplifying assumptions or suppositions, as much as possible. On a thermo-physical point of view, the results were affected not only by the mechanical or cutting parameters chosen, but also by their coupling effects, instead of the simplifying way of modeling which is to contemplate only the direct effect of the variation of a parameter. The implementation of these models was performed using the MATLAB environment. Since it was possible to find in the literature all the parameters for AISI 1045 and AISI O2, these materials were used to run the simulations in order to avoid arbitrary assumption.

Aplicação da metodologia TRIZ e da manutenção autónoma em atividades de manutenção industrial

A manutenção tem ganho cada vez maior importância entre as atividades das empresas industriais. O aumento constante das exigências do mercado motiva os responsáveis pela manutenção a procurarem novas metodologias e técnicas, que permitam melhorar a gestão da manutenção em todas as suas vertentes. A metodologia TRIZ (Teoria de Resolução Inventiva de Problemas) promove a inovação sistemática e a procura de novas soluções para os problemas existentes. Sendo a inovação um conceito da atualidade e bem presente nas empresas que queiram marcar as suas posições no mercado, o uso da metodologia TRIZ é uma boa forma de as empresas se diferenciarem, encontrando novas soluções inovadoras e mais criativas. Este aumento da criatividade poderá proporcionar vantagens em relação à concorrência. Uma das principais caraterísticas da manutenção autónoma é a inclusão de diferentes áreas funcionais das empresas nas atividades da manutenção. Uma das grandes vantagens da manutenção autónoma é a partilha das responsabilidades e conhecimentos entre os técnicos de manutenção e os operadores dos equipamentos. Os operados dos equipamentos ganham com isso a capacidade de realizar algumas operações elementares de manutenção, ajudando na deteção precoce de anomalias, podendo com isto reduzir as paragens e falhas de equipamentos, prolongar a vida útil dos mesmos, tendo por vezes influência direta na qualidade do produto final produzido e na imagem da empresa. O estudo desenvolvido no âmbito da presente dissertação centrou-se nas possibilidades e oportunidades da utilização conjunta da metodologia TRIZ e da manutenção autónoma, em busca de novas formas de solucionar problemas da manutenção. Sendo a combinação destas técnicas ainda pouco explorada, o presente estudo visa abrir novos caminhos em relação à utilização da metodologia TRIZ nos problemas da manutenção. No âmbito desta dissertação foram explorados vários conceitos e ferramentas da metodologia TRIZ para resolver três casos práticos de manutenção industrial.

Context-based identification of energy consumption in industrial plants

Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.

Levantamento, identificação e classificação de dados para a gestão da manutenção numa empresa industrial

O presente trabalho refere-se à análise de conceitos gerais de manutenção e sua gestão, aplicados a uma indústria de produção de fibra têxtil sintética. Contempla uma primeira fase de organização e segmentação de um registo histórico de dados, para a identificação de equipamentos críticos e o seu impacto a nível capital na instalação industrial, e uma outra fase de caracterização de tipos de avaria comuns para a definição de um plano de acções. Neste contexto o trabalho visa o estudo de um equipamento essencial ao processo produtivo, pois a ocorrência de uma avaria/falha traduz-se na paragem da máquina e consequentemente perda na produção. Partindo dos dados organizados sobre avarias comuns identificam-se as causas raiz, com recurso a diagramas de causa e efeito. Acrescenta-se uma análise dos investimentos necessários para cumprir algumas das acções do plano. A estrutura de dados realizada permite à empresa dispor de uma nova ferramenta de apoio à gestão da manutenção, com vista a uma melhor preparação de trabalhos futuros e consequente aumento da produtividade.

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Flexible multivariate GARCH modeling with an application to international stock markets

This paper offers a new approach to estimating time-varying covariance matrices in the framework of the diagonal-vech version of the multivariate GARCH(1,1) model. Our method is numerically feasible for large-scale problems, produces positive semidefinite conditional covariance matrices, and does not impose unrealistic a priori restrictions. We provide an empirical application in the context of international stock markets, comparing the nev^ estimator with a number of existing ones.

O papel de Nikita Khrushchev no Complexo Militar e Industrial, no quadro da Guerra Fria

A presente dissertação visa aferir a dimensão e a relevância das alterações operadas por Nikita Khrushchev, enquanto líder da União Soviética, no Complexo Militar e Industrial deste país, no período da Guerra Fria. Neste contexto, as mesmas serão analisadas e proceder-se-á, paralelamente, ao estudo do impacto das mesmas a nível interno, bem como a nível externo, na interacção da União Soviética com os restantes actores da comunidade internacional, nomeadamente os Estados Unidos. Mormente, como forma de contextualizar as referidas alterações, proceder-se-á também ao apuramento dos motivos que estiveram subjacentes à transmutação de uma componente relevante nas Relações Internacionais, o Complexo Militar e Industrial Soviético.

Um olhar sobre a Descrição a partir das Séries " Licenciamento Industrial" e "Registo do Trabalho Nacional" da Direcção Regional de Economia do Centro

O presente trabalho resulta do estágio realizada na Secretaria Geral do Ministério da Economia e do Emprego. O estágio consistiu na descrição de duas Séries documentais. Com o presente trabalho pretende-se demonstrar a importância do uso das normas de descrição arquivística, mostrando a importância da descrição dos produtores, das funções e das entidades responsáveis pela sua custódia, conjugada com a descrição dos documentos.

Product relatedness role on driving industrial policy success

This thesis aims to study how product relatedness to the current pattern of specialization influences the success of industrial policies in underdeveloped sectors. Drawing from Hausmann and Klinger (2006), this work extends the existing literature on the importance of proximity spillovers to explain economic development by focusing on underdeveloped sectors. We find that investment's success in an underdeveloped sector is more likely if it is highly related to the current pattern of specialization. However, heterogeneity amongst sectors is remarkable. Moreover, industrial policy cases are sometimes successful despite the bad odds provided by this criterion, suggesting further factors should be considered.

Optimal choice between even- and uneven-aged forestry: the case of non-industrial private forest owners

An infinite-horizon discrete time model with multiple size-class structures using a transition matrix is built to assess optimal harvesting schedules in the context of Non-Industrial Private Forest (NIPF) owners. Three model specifications accounting for forest income, financial return on an asset and amenity valuations are considered. Numerical simulations suggest uneven-aged forest management where a rational forest owner adapts her or his forest policy by influencing the regeneration of trees or adjusting consumption dynamics depending on subjective time preference and market return rate dynamics on the financial asset. Moreover she or he does not value significantly non-market benefits captured by amenity valuations relatively to forest income.

A Cidade do Trabalho: usos do património industrial (S. João da Madeira)

S. João da Madeira é uma localidade que desde cedo construiu os seus discursos em torno da identidade local sob o epíteto de Cidade do Trabalho. Mais recentemente, desde a última década do século XX, a cidade começou a olhar para a sua dimensão industrial do ponto de vista do seu cunho patrimonial, dentro do quadro emergente das políticas culturais e de identidade, no qual as identidades particulares – como à escala local – se querem afirmar no plano global. Partindo de uma primeira análise dos processos contemporâneos de patrimonialização do industrial no contexto de S. João da Madeira, concretizados pela via dos museus e do turismo, num trabalho de projeto que se apresenta como fase de investigação preliminar de um futuro trabalho de doutoramento, questiona-se como a antropologia poderá pensar o conceito de cultura popular fora dos contextos normalmente a estes atribuídos e como, consequentemente, poderá problematizar as fronteiras daquilo que poderá ser considerado ou não Património Cultural Imaterial (PCI), categoria com a qual a disciplina está historicamente comprometida.

Experimental and modeling studies on reverse electrodialysis for sustainable power generation

A potentially renewable and sustainable source of energy is the chemical energy associated with solvation of salts. Mixing of two aqueous streams with different saline concentrations is spontaneous and releases energy. The global theoretically obtainable power from salinity gradient energy due to World’s rivers discharge into the oceans has been estimated to be within the range of 1.4-2.6 TW. Reverse electrodialysis (RED) is one of the emerging, membrane-based, technologies for harvesting the salinity gradient energy. A common RED stack is composed by alternately-arranged cation- and anion-exchange membranes, stacked between two electrodes. The compartments between the membranes are alternately fed with concentrated (e.g., sea water) and dilute (e.g., river water) saline solutions. Migration of the respective counter-ions through the membranes leads to ionic current between the electrodes, where an appropriate redox pair converts the chemical salinity gradient energy into electrical energy. Given the importance of the need for new sources of energy for power generation, the present study aims at better understanding and solving current challenges, associated with the RED stack design, fluid dynamics, ionic mass transfer and long-term RED stack performance with natural saline solutions as feedwaters. Chronopotentiometry was used to determinate diffusion boundary layer (DBL) thickness from diffusion relaxation data and the flow entrance effects on mass transfer were found to avail a power generation increase in RED stacks. Increasing the linear flow velocity also leads to a decrease of DBL thickness but on the cost of a higher pressure drop. Pressure drop inside RED stacks was successfully simulated by the developed mathematical model, in which contribution of several pressure drops, that until now have not been considered, was included. The effect of each pressure drop on the RED stack performance was identified and rationalized and guidelines for planning and/or optimization of RED stacks were derived. The design of new profiled membranes, with a chevron corrugation structure, was proposed using computational fluid dynamics (CFD) modeling. The performance of the suggested corrugation geometry was compared with the already existing ones, as well as with the use of conductive and non-conductive spacers. According to the estimations, use of chevron structures grants the highest net power density values, at the best compromise between the mass transfer coefficient and the pressure drop values. Finally, long-term experiments with natural waters were performed, during which fouling was experienced. For the first time, 2D fluorescence spectroscopy was used to monitor RED stack performance, with a dedicated focus on following fouling on ion-exchange membrane surfaces. To extract relevant information from fluorescence spectra, parallel factor analysis (PARAFAC) was performed. Moreover, the information obtained was then used to predict net power density, stack electric resistance and pressure drop by multivariate statistical models based on projection to latent structures (PLS) modeling. The use in such models of 2D fluorescence data, containing hidden, but extractable by PARAFAC, information about fouling on membrane surfaces, considerably improved the models fitting to the experimental data.