Orientador: Wagner Luiz Lourenzani / Resumo: Considerando a importância do repasse da quota-parte do ICMS para as receitas fiscais dos municípios, principalmente daqueles de menor porte, a acurácia e a fidedignidade das informações entre os contribuintes e a Secretaria Estadual da Fazenda são fundamentais para a qualidade do cálculo do Valor Adicionado Fiscal (VAF) e, consequentemente do Índice de Participação do Município (IPM). Nesse contexto, este trabalho de pesquisa tem por objetivo analisar o fluxo de informação entre a atividade agropecuária e a Secretaria Estadual da Fazenda. Para tanto realizou um estudo de caso no município de Tupã. Para compreender e analisar o referido fluxo de informação essa pesquisa se baseou na abordagem do Business Process Management (BPM). Trata-se de uma pesquisa exploratória de caráter quali-quantitativo. Na busca da melhoria do processo, foi realizado o mapeamento do processo atual (“como é” / “as-is”), a identificação dos pontos de descontinuidade e, posteriormente, um novo mapeamento do processo melhorado (“como deveria ser” / “to-be”). Os resultados apresentados nesta pesquisa contribuem para demonstrar a fragilidade dos dados que chegam para o município, produtores, prefeito e fiscais. O modelo proposto propõe alterações no fluxo de informações da comercialização agropecuária e pode ser aplicado em qualquer município do estado de São Paulo. Sob o aspecto acadêmico, esta pesquisa permitiu estruturar um protocolo de análise que estabelece a representatividade da atividade na compo... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Considering the importance of transferring the ICMS share to municipal tax revenues, especially those of smaller size, the accuracy and reliability of the information between the taxpayers and the State Treasury Secretariat are fundamental to the quality of the calculation of Tax Added Value (TAV) and, consequently, the Municipal Participation Index (MPI). In this context, this research aims to analyzing the information flow between the agricultural activity and the State Treasury Secretariat. To do so, a case study in the municipality of Tupã will carry out. To understand this information flow the research will be based on the Business Process Management (BPM) approach. This is an exploratory qualitative-quantitative research. In the search for process improvement the following steps were performed: mapping of the current process ("as is"), identification of the discontinuity points and, subsequently, new mapping of the improved process ("to be"). The results presented in this research contribute to demonstrate the fragility of the data that arrives for the municipality, producers, mayor and auditors. The proposed model proposes changes in the flow of agricultural marketing information and can be applied in any municipality in the state of São Paulo. Under the academic aspect, it was possible to structure a protocol of analysis that establishes the representativeness of the activity in the composition of the municipal transfer of the share of the State's ICMS. Such understan... (Complete abstract click electronic access below) / Mestre

Smart metering and precise measurement of energy consumption levels have brought more detailed information and interest on the actual load profile of a house which continues to improve consumer-retailer relationships. Participation in demand response (DR) programs is one of these relationships but studies have shown that there are considerable impacts resulting to some level of discomfort on consumers as they aim to follow a suggested load profile. This research therefore investigates the impact on consumers while participating in DR programs by evaluating various perspectives that includes:  Modelling the causes discomfort during participation in DR programs;  Evaluation of user participation capabilities in DR programs;  Identification of schedulable and non-schedulable loads and opportunities;  Application of load scheduling mechanism which caters for specific user concerns.  Investigation towards ensuring a secure and robust system design. The key source of information that enhances this work is obtained from data on historical user behavior which can be stored within a smart controller installed in the home and optimised using genetic algorithm implemented on MATLAB. Results show that user participation in DR programs can be improved and effectively managed if the challenges facing home owners are adequately understood. This is the key contribution of this work whereby load schedules created are specifically tailored to meet the need of the users hence minimizing the impact of discomfort experienced due to participation in DR programs. Finally as part of the test for robustness of the system design in order to prevent or minimize the impact of any event of a successful cyber-attack on the load or price profiles, this work includes means to managing any such attacks thereby mitigating the impact of such attacks on users who participate in demand response programs. Solutions to these attacks are also proffered with the aim of increasing robustness of the grid by being sufficiently proactive.