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        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/48973" />
        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/48942" />
        <rdf:li rdf:resource="https://repositorio.ufu.br/handle/123456789/48515" />
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    <dc:date>2026-08-05T12:17:10Z</dc:date>
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  <item rdf:about="https://repositorio.ufu.br/handle/123456789/48973">
    <title>DMAIC aplicado ao aumento de eficiência energética em uma empresa alimentícia</title>
    <link>https://repositorio.ufu.br/handle/123456789/48973</link>
    <description>Title: DMAIC aplicado ao aumento de eficiência energética em uma empresa alimentícia</description>
    <dc:date>2026-03-23T00:00:00Z</dc:date>
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  <item rdf:about="https://repositorio.ufu.br/handle/123456789/48942">
    <title>Aplicação de ferramentas da engenharia de produção na otimização do processo de alta hospitalar: um estudo de caso em um hospital oncológico</title>
    <link>https://repositorio.ufu.br/handle/123456789/48942</link>
    <description>Title: Aplicação de ferramentas da engenharia de produção na otimização do processo de alta hospitalar: um estudo de caso em um hospital oncológico
Abstract: The increase in the length of stay in hospital beds compromises the operational efficiency of healthcare institutions, raises care-related costs, and limits service capacity, directly impacting the quality of care provided to patients. In this scenario, the application of quality management principles and Statistical Process Control (SPC) can contribute to the systematic analysis of hospital processes, enabling the identification of sources of variability and the proposal of improvements aimed at optimizing care and operational flows, ensuring more agile, safe, and efficient services centered on patients’ needs.&#xD;
Thus, this study has a propositional nature and aims to suggest improvements focused on reducing patients’ length of stay in hospital beds, grounded in quality management principles, with emphasis on the application of Statistical Process Control. It highlights the importance of identifying the causes responsible for bottlenecks in hospital flow through the use of statistical techniques to monitor, control, and stabilize processes, thereby supporting the proposal of continuous improvement actions, promoting greater efficiency in care delivery and the optimization of available resources.&#xD;
Furthermore, the importance of data-driven decision-making based on reliable and consistent information is emphasized, underscoring the role of Statistical Process Control (SPC) as an analytical support tool for hospital management. The proper application of SPC techniques enables continuous monitoring of variability in care processes, the identification of deviations, and intervention in special causes, supporting more accurate and timely decisions.&#xD;
As a result of these data-oriented interventions, a potential reduction of approximately 65.2% in patients’ length of stay in hospital beds is estimated, promoting higher bed turnover and reducing the average occupancy time per patient to approximately 34.8%. These gains contribute to mitigating financial losses, improving patient well-being, and strengthening excellence in hospital care and healthcare management.</description>
    <dc:date>2026-02-05T00:00:00Z</dc:date>
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    <title>Proposta de um quadro visual baseado no Kanban para gestão de projetos de móveis planejados</title>
    <link>https://repositorio.ufu.br/handle/123456789/48515</link>
    <description>Title: Proposta de um quadro visual baseado no Kanban para gestão de projetos de móveis planejados</description>
    <dc:date>2025-05-07T00:00:00Z</dc:date>
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  <item rdf:about="https://repositorio.ufu.br/handle/123456789/48514">
    <title>Proposta de um instrumento de pesquisa para avaliar a gestão do conhecimento intraprojetos no gerenciamento ágil de projetos</title>
    <link>https://repositorio.ufu.br/handle/123456789/48514</link>
    <description>Title: Proposta de um instrumento de pesquisa para avaliar a gestão do conhecimento intraprojetos no gerenciamento ágil de projetos
Abstract: This paper presents a proposal for an instrument to assess knowledge management in projects conducted under agile approaches, focusing on the intra-project dimension of the model developed by Almeida (2016). Considering that agile environments are characterised by iterative cycles, intense communication and a high level of collaboration, knowledge management becomes an essential element in supporting continuous adaptation, team learning and the construction of solutions aligned with customer needs. However, despite the relevance of this topic, there is a gap in the literature regarding the operationalisation of models that allow for a structured diagnosis of how knowledge is created, shared, and applied in this context. Based on a comprehensive theoretical review of Agile Project Management and Knowledge Management, this study discusses fundamental concepts such as agile practices and rituals, team autonomy, the role of the Product Owner, and processes for creating, acquiring, sharing, and applying knowledge. Methodologically, the study is characterised as applied research, with a quantitative approach and explanatory nature, conducted through a survey. The construction of the instrument was based on a comprehensive theoretical review of KM and GAP, complemented by two Systematic Literature Reviews, focusing on studies that used Structural Equation Modelling. Based on this framework, constructs were defined and indicators previously validated in the literature were selected, which were adapted and organised into a structured questionnaire with Likert-type scales. As its main result, the study presents a theoretical instrument capable of systematically representing the processes of creation, acquisition, sharing, and application of knowledge in the intra-project environment, as well as its relationships with project characteristics, agile practices, and perceived results. The proposed instrument contributes both to the future empirical validation of the Almeida (2016) model and to its practical use as a diagnostic tool, supporting teams and managers in identifying opportunities for improvement in knowledge management in agile projects.</description>
    <dc:date>2025-11-27T00:00:00Z</dc:date>
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