https://repositorio.ufms.br/handle/123456789/3684 2026-03-27T21:04:57Z https://repositorio.ufms.br/handle/123456789/14300 Título: INOVAÇÃO SOCIAL NO TERCEIRO SETOR: UMA ANÁLISE DAS OSCS SUL-MATO-GROSSENSES Abstract: ABSTRACT The Third Sector plays a strategic role in the implementation of public policies and in responding to social and territorial demands, especially in contexts marked by socio-environmental inequalities. In this scenario, Civil Society Organizations (CSOs) in Mato Grosso do Sul face challenges related to financial sustainability, management capacity, institutional communication, and social innovation. This study sought to characterize management capacities and weaknesses, communication practices, resource mobilization, and partnerships among CSOs in the municipalities of Campo Grande and Corumbá. A mixed-methods approach was adopted, combining descriptive statistics and categorical content analysis, based on a digital questionnaire with 57 open and closed questions applied to organizations identified in the MapaOSC/IPEA database. The results indicate a regional Third Sector in a process of institutional strengthening, evidenced by the use of strategic planning in 63.16% of the organizations, as well as advances in people management, communication, and resource mobilization. However, weaknesses persist in four key areas: financial sustainability; management capacity and professionalization; communication and visibility; and partnerships and social innovation. The study highlights the need for public policies that expand training in management, social innovation, and financial sustainability, accompanied by more accessible and less bureaucratic funding mechanisms. It also emphasizes the importance of coordination among government, universities, the private sector, and civil society to increase social impact. These measures can strengthen long-term sustainability in Mato Grosso do Sul by supporting actions aligned with the SDGs, contributing to more inclusive, resilient cities prepared for the 2030 Agenda. Tipo: Trabalho de Conclusão de Curso 2026-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/13786 Título: MELHORIA DE PROCESSOS LOGÍSTICOS EM UMA COOPERATIVA DE CRÉDITO: UMA ABORDAGEM BASEADA NO CICLO PDCA Abstract: This study analyzes and proposes improvements to an internal process of a credit cooperative by applying the PDCA cycle. Field research was carried out in five branches of the institution, where bottlenecks related to the delivery time of equipment to members were identified. The mapping of the current process (AS-IS) revealed a high dependence on a third-party carrier, with delivery times ranging from 3 to 7 days, as well as a lack of operational control mechanisms within the branches. Based on this diagnosis, a new operational flow (TO-BE) was developed, grounded in maintaining minimum inventory levels in the branches and partially internalizing the logistics stage. The implementation of the solution reduced the total process time to 0–1 day (an improvement of approximately 85%), increased operational control (from 27% to 91%), and reduced rework (from 22% to 6%), directly improving the member experience. The results show that the structured application of the PDCA cycle, combined with process mapping and the 5W1H tool, consistently contributes to operational efficiency, standardization, and continuous improvement within the cooperative environment. Beyond the operational results, the study contributes to the advancement of knowledge about process management in credit cooperatives, demonstrating the practical applicability of quality methodologies in service environments and reinforcing their role as an instrument of social and organizational impact. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/13770 Título: GESTÃO DA QUALIDADE APLICADA AO REPASSE FINANCEIRO: UMA ABORDAGEM DMAIC NO SETOR EDUCACIONAL Abstract: This study proposes an improvement plan for the supplier remittance process in an educational company using the DMAIC methodology from Lean Six Sigma. The research applied a quali-quantitative approach, combining historical data analysis, process mapping, supplier surveys, and interviews with financial teams. Tools such as SIPOC, Project Charter, Flowchart, Pareto Chart, Ishikawa Diagram, and 5W2H revealed that inefficiencies stem mainly from lack of standardization, data inconsistencies, and communication failures. An improvement plan was developed including document standardization, automated scripts, KPIs, training, and updated contractual guidelines. As the project is still in progress, final results depend on the implementation phase, but improvements are expected to reduce cycle time, decrease errors, and increase the reliability of financial information. The study reinforces the applicability of DMAIC to administrative and financial processes in the education sector. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/13769 Título: Análise comparativa de métodos de previsão de demanda: estudo aplicado em uma empresa varejista de Mato Grosso do Sul Abstract: This study investigates the stock management issue at a retail company specializing in commercial refrigeration and food service equipment located in Mato Grosso do Sul, which bases its purchasing decisions predominantly on managerial intuition, resulting in an unbalanced inventory and financial loss. The general objective was to perform a comparative analysis of simple demand forecasting methods to identify the most suitable models for the company’s product demand behavior. The research is characterized as applied, with a quantitative approach and exploratory objective. The product portfolio was categorized into three distinct profiles based on added value and sales volume. Using the ABC Curve method with sales quantity and revenue parameters, one representative product was selected from each category. Monthly demand historical data were collected from July 2022 to September 2025, totalling 39 records per product. Three forecasting methods were applied: Simple Moving Average, Weighted Moving Average and Simple Exponential Smoothing. Model performance was evaluated using Tracking Signal, MAPE and MAD metrics. Results demonstrated that no universally superior method exists for all products. For product P1, the Weighted Moving Average with a 3-month interval showed the best performance. Product P2, despite achieving the best result with 3-month Simple Moving Average, presented a MAPE of 290.76%, indicating high volatility and inadequacy of simple methods for its forecasting. For product P3, the Simple Moving Average with a 3-month interval was most suitable. The study concludes that the choice of ideal method depends directly on each item’s historical demand profile, and that products with high variability require more sophisticated techniques than traditional time series methods. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z