Standardization of project management processes

Software development is a discipline that is almost as old as the history of computers. With the advent of the Internet and all of its related technologies, software development has been on high demand. But, and especially in SME (small and medium enterprise), this was not accompanied with a comparable effort to develop a set of sustainable and standardized activities of project management, which lead to increasing inefficiencies and costs. Given the actual economic situation, it makes sense to engage in an effort to reduce said inefficiencies and rising costs. For that end, this work will analyze the current state of software development’s project management processes on a Portuguese SME, along with its problems and inefficiencies in an effort to create a standardized model to manage software development, with special attention given to critical success factors in an agile software development environment, while using the best practices in process modeling. This work also aims to create guidelines to correctly integrate these changes in the existing IS structure of a company.

Modelação do processo de reconhecimento de estudos em Angola

Apesar de as tecnologias e os Sistemas de Informação (SI) serem hoje fatores essenciais para uma gestão eficiente, estes não têm, por si só, sido suficientes para garantir os resultados desejados na medida em que fragmentam os processos de negócio em torno de suas aplicações funcionais. Clareza na perceção dos requisitos dos processos de negócio a serem implementados em SI torna-se um fator determinante para que os resultados provenientes da sua implementação revertam em benefícios para as organizações. Esta dissertação tem por base a utilização do recurso da modelação, inserida nas melhores práticas de Business Process Management (BPM), como ferramenta de eliciação dos requisitos dos processos de negócio, com a intenção de mitigar ou eliminar dificuldades no seu entendimento e garantir o alinhamento destes com os objetivos estratégicos da organização. Para o desenvolvimento prático, foi realizado um Caso de Estudo, onde se procedeu à Modelação do Processo de Negócio de Reconhecimento de Estudos em Angola, utilizando a Business Process Modeling Notation (BPMN). O contributo deste trabalho consiste na apresentação dos benefícios da prática de modelação de processos de negócio, suportada pela aplicação da abordagem BPM. Ambiciona-se que o resultado obtido possa contribuir na explicitação e visibilidade dos processos, favorecendo o entendimento dos seus requisitos, e garantir o alcance dos resultados esperados aquando da sua implementação em SI.

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.