Abstract:The manufacturing industry is fairly representative in the Brazilian economy. The research activities in technology, development and innovation promoted by technology centers are of great importance to boost the competitiveness of this segment. In this context, this work aims presenting the development of the strategic planning for a Center of R&D&I (Research & Development & Innovation), looking 20 years ahead, on a macro level, creating a master plan which summarizes the future focus areas of competence for technology research, development and innovation, coping with manufacturing trends, using a participative workshop approach. Thus, it is expected that this center offer integrated technological solutions with high added value that promote the development and competitiveness of the manufacturing industry, in the prospects for medium and long term. In order to achieve the project objectives taking the principle of strategic planning was followed. On the one hand, focus was placed on the internal perspective analyzing the current status of the Center. On the other hand, the environment of the Center (external perspective) was analyzed. Matching the analysis results regarding both perspectives future competence areas were derived, according to global technological trends as well as national and local industrial demand. Thus, the competencies required to be developed by a technology center to meet the manufacturing industry over the next twenty years would be derived.
A melhoria do nível de serviços ao cliente é um desafio para o varejo. Entre os principais problemas enfrentados, destacam-se as longas filas de espera. Sobre isso, a simulação pode oferecer importantes informações aos gestores para definir o melhor sistema de atendimento para diminuir as filas. Esta pesquisa teve como objetivo usar a simulação para apoiar a tomada de decisão na configuração do atendimento de um pequeno varejo para reduzir as filas em uma empresa do setor de varejo de alimentos. Para isso, foram coletados os tempos de chegada e atendimento, tornando possível simular um sistema com precisão e conformidade com a realidade. Os resultados indicaram que, com a introdução de mais um operador de atendimento, seria possível reduzir significativamente o número médio de pedidos em fila no processamento do produto, melhorando, assim, o atendimento aos clientes. Portanto, o uso da modelagem computacional se revelou como uma ferramenta relevante para a tomada de decisão no pequeno varejo no que tange à simulação para diminuir as filas.
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