https://repositorio.ufu.br/handle/123456789/21764 Mon, 05 Oct 2026 02:59:33 GMT 2026-10-05T02:59:33Z https://repositorio.ufu.br/handle/123456789/50385 Title: Proposta de implementação da ferramenta A3 para identificação de desperdícios e proposta de melhorias em uma panificadora Abstract: This study addresses the application of the A3 tool in a small company in the food sector, with a focus on the bakery sector. The objective was to propose the implementation of the A3 tool to identify waste and propose improvements to the production process. The research was conducted through observation of the production line, reports from employees and the owner, and analysis of internal records. To diagnose the causes, the Ishikawa Diagram and the “5 Whys” were used as part of the A3 report structure. The analysis highlighted the need for greater standardization of the bakery’s activities, as well as production planning more closely aligned with demand. As a result, actions were proposed to standardize products and the production line, as well as to implement a Production Planning and Control (PPC) system based on sales and production data. Control and monitoring tools were also defined to support the future implementation of the proposed actions. The study thus demonstrates the potential of using the A3 methodology to organize problem analysis and guide improvements in production processes in small companies in the food sector. Fri, 18 Sep 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50385 2026-09-18T00:00:00Z https://repositorio.ufu.br/handle/123456789/50134 Title: Sistema de apoio à decisão para gestão de custos e horas de manutenção via dashboards: um estudo de caso em indústria de laticínios Abstract: Industrial maintenance management is a critical function for business competitiveness, especially in sectors with low operating margins such as the dairy industry. In the context studied, maintenance cost management presented fragmented information across multiple spreadsheets and a lack of standardized monitoring of team hour allocation, compromising budgetary predictability and managerial decision-making. The objective of this work is to propose the implementation of a Management Information System with a Decision Support function (DSS) for the management of Maintenance Planning and Control (MPC) indicators by production cell, based on the SAP PM system, for controlling maintenance costs and hour allocation for maintenance personnel in a dairy industry. This is applied research with a predominantly qualitative approach to the problem, using quantitative data and analyses. Considering the objectives, the research is descriptive in nature, and, regarding methodological procedures, it is characterized as a case study, as it focuses on a single organization. The methodology was based on the four phases of SAD development proposed by Laudon and Laudon (2014) (Intelligence, Discovery, Selection, and Implementation), integrated with Lean Manufacturing principles for waste elimination. The results demonstrated significant gains: a 91.7% reduction in cost data fragmentation, an increase from 43% to 71% of production cells within the budget target, and a 73.7% growth in the hours allocation indicator (38% to 66%), in addition to an annual gain of R$ 100,399.82 from previously unrecorded hours. The comparative analysis of November 2025 versus January 2026 showed a rebalancing in the budget allocation among cells, with particular emphasis on the reduction of cost concentration in Milk Powder from 47% to 37%. The Decision Support System (DSS) has become institutionalized in management routines, validating the effectiveness of accessible technological solutions when based on a structured methodology and aligned with the real needs of users. Thu, 19 Mar 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50134 2026-03-19T00:00:00Z https://repositorio.ufu.br/handle/123456789/49997 Title: Análise de viabilidade econômica na compra de caminhão para uma empresa do ramo madeireiro Abstract: This study focuses on a small-sized company in the timber industry headquartered in Barretos, São Paulo, Brazil, which operates in the purchase and sale of eucalyptus firewood used by industries as an energy source in boilers, as well as in the trade of logs supplied to regional sawmills. For several years, the company has faced a significant logistical challenge: the difficulty of finding and retaining outsourced truck drivers in the region, which limits delivery volumes and, consequently, reduces revenue. Currently, the company sells approximately 2,500 st (steres) of firewood per month but could expand this volume if it had its own fleet, reducing dependence on outsourced freight. To address this bottleneck, the acquisition of a company-owned truck is being evaluated. In this sense, the objective of this study is to evaluate the economic and financial feasibility of acquiring a truck for timber transport, based on real data from a company in the interior of São Paulo, using the Net Present Value (NPV), Profitability Index (PI), and Payback Period tools. Methodologically, this is an applied, quantitative study in which the fixed and variable costs of the operation were surveyed and the aforementioned investment analysis tools were applied in two scenarios, one optimistic and one pessimistic. The results showed that the monthly operating cost of the unit would be R$ 42,314.36 in the optimistic scenario and R$ 53,164.93 in the pessimistic one, both lower than the average monthly expense of approximately R$ 65,000.00 currently spent on freight per truck. The NPV was R$ 1,409,697.37 in the optimistic scenario and R$ 887,191.75 in the pessimistic one, indicating the feasibility of the investment. The Payback occurred in approximately 9 months in the optimistic scenario and 17 months in the pessimistic one, short periods compared to the 84-month horizon analyzed, while the PI was 2.37 and 1.86, respectively, demonstrating that each R$ 1.00 invested returns more than the amount applied. It is concluded that the acquisition of the truck is economically viable and that the use of managerial investment analysis tools is essential to transform an intuitive decision into a data-driven choice, contributing to the financial health, competitiveness, and sustainability of the business. Wed, 08 Jul 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/49997 2026-07-08T00:00:00Z https://repositorio.ufu.br/handle/123456789/49947 Title: Redução de defeitos de amassamento em embalagens metálicas na cadeia de distribuição: aplicação da metodologia Lean Six Sigma Fri, 31 Jul 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/49947 2026-07-31T00:00:00Z