DSpace Collection:https://repositorio.ufu.br/handle/123456789/201592026-04-03T23:35:19Z2026-04-03T23:35:19ZA OEE como bússola de melhoria em uma linha de blocos de concreto: estudo de caso com SMED e A3https://repositorio.ufu.br/handle/123456789/484302026-03-03T06:19:23Z2026-02-20T00:00:00ZTitle: A OEE como bússola de melhoria em uma linha de blocos de concreto: estudo de caso com SMED e A3
Abstract: This study describes the application of the OEE indicator in a semi-automated concrete block production line located in Uberlândia, Minas Gerais, Brazil. After mapping the process into seven stages—from dosing to palletizing—daily data on production, quality, maintenance, and external testing were collected and consolidated into monthly spreadsheets. OEE was calculated based on its three pillars (availability, performance, and quality), using an internal target of 83.7%. Pareto, Ishikawa, and 5 Whys analyses showed that dimensional variation, deformation, and burrs accounted for 80% of scrap. Root causes were documented in A3 reports and addressed through countermeasures such as SMED, start-up checklists, weekly sensor calibration, and the installation of a top scraper. Between 2021 and 2025, unplanned downtime decreased by 35%, mold changeover time was reduced from 45 to 28 minutes, and the out-of-specification rate dropped to 0.4%. OEE improved from 62% in the first measurements of 2020 to 90% in December 2023 and remained at a level close to the internal target through May 2025, indicating that simple and disciplined adjustments increase operational efficiency and contribution margin.2026-02-20T00:00:00ZDiagnóstico oftalmológico inteligente: aplicação de machine learning na detecção precoce do glaucomahttps://repositorio.ufu.br/handle/123456789/471572025-10-01T06:20:29Z2025-09-23T00:00:00ZTitle: Diagnóstico oftalmológico inteligente: aplicação de machine learning na detecção precoce do glaucoma2025-09-23T00:00:00ZInteligência comercial no agronegócio: desenvolvimento e automação de base de dados para prospecção de clienteshttps://repositorio.ufu.br/handle/123456789/470982025-09-30T06:21:04Z2025-09-23T00:00:00ZTitle: Inteligência comercial no agronegócio: desenvolvimento e automação de base de dados para prospecção de clientes
Abstract: The objective of this technical report was to present the process of creating a database of potential clients for the agribusiness industry, detailing how the CNPJ database was built and maintained, and how this data is used to support strategic decision-making in the agricultural sector. The identified problem was the lack of an organized data structure on sales channels, which limited the consultancy’s analytical capacity and required the use of manual spreadsheets and outdated information. As a solution, the construction of a segmented and updatable database was implemented, using programming languages, API integration, automations via Power Query, and visualizations in Power BI. Among the main results achieved are data standardization, the creation of strategic dashboards, the geographic mapping of 11,500 branches belonging to 5,931 companies, the improvement of internal decision-making capacity, and the development of a marketable product for the consultancy’s clients. With the automation of the process, the database update time — which previously could take weeks due to manual processing and segmentation — was reduced to just two hours, demonstrating a significant gain in operational efficiency.2025-09-23T00:00:00ZInovação e liderança em diferentes áreas: um estudo comparativo entre Nelson Mandela, Steve Jobs e Pep Guardiolahttps://repositorio.ufu.br/handle/123456789/469432025-09-24T06:17:56Z2025-09-15T00:00:00ZTitle: Inovação e liderança em diferentes áreas: um estudo comparativo entre Nelson Mandela, Steve Jobs e Pep Guardiola2025-09-15T00:00:00Z