Brazilian Journal of Production Engineering
Journal created at the end of 2015 with the UFES Publishing and Publications System. Its creation was due to a demand from the Research Center in Production Systems Management (NPGSP), with the aim of providing scientific and fast access to the academic community in the area of ​​Production Engineering in a transversal and interdisciplinary way. ISSN: 2447-5580 Year of Fundation: 2015 Frequency: Quarterly Responsible Editor: Rodrigo Randow de Freitas Institutional E-mail: revista.bjpe@ufes.br / revistabjpe@gmail.com Indexing: Sumários / Livre / Index Copernicus / ResearchBIB / EZ3 / Road / Base / WorldCat / Internet Archive / Redib / Oasisbr / Rootindexing / Scilit / Diadorim / Latindex / Dialnet / Dimensions License: CC BY 4.0 DEED Atribuição 4.0 Internacional
Universidade Federal do Espírito Santo - UFES
All works published in the Brazilian Journal of Production Engineering (BJPE) are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). This means that: Anyone can copy, distribute, display, adapt, remix, and even commercially use the content published in the journal; Provided that due credit is given to the authors and to BJPE as the original source; No additional permission is required for reuse, as long as the license terms are respected. This policy complies with the principles of open access, promoting the broad dissemination of scientific knowledge. 🔗 Click here to access the full license
Use of quality tools in reducing rework: an exploratory study in the metal-mechanical industry
Quality is currently a fundamental factor in organizations, as increasingly fierce competition and a highly competitive environment have made it essential for business survival. In production processes, quality is crucial to reducing problems, scrap, and losses. To achieve these objectives, several useful tools and methods are available. This study proposes the application of the PDCA Cycle, which aims to identify problems and generate actions to mitigate them. The purpose of the research was to apply PDCA to reduce rework in a company in the metal-mechanical sector, using quality tools to ensure the effective execution of all stages of the cycle, since this integration makes the process more reliable. This is an exploratory study whose methodology follows the logic of the cycle itself: planning, implementation of the proposed improvements, verification of the results, correction of failures, and standardization. After applying the method, it was possible to identify a reduction in rework in the company, in which the rate of rejected parts decreased from 1.63% to 0.8%, proving the effectiveness of the PDCA Cycle for addressing the case and highlighting its relevance as a continuous improvement tool in industrial processes.
Innovation, Sustainability, and Entrepreneurship: Paths to Transforming Production Engineering
Copyright (c) 2026 Lima, G. de S. de, Cordeiro, N. H. M., Garcia, M. V., & Gomes, H. C. https://creativecommons.org/licenses/by/4.0
Logistics Maturity Models: impacts on operational performance and trends for the digital supply chain
Logistics maturity refers to the level of evolution of an organization’s logistics processes, assessed through models that classify this progression from initial practices to digital and sustainable operations. This study aims to identify and analyze the main logistics maturity models described in recent literature and their impact on organizational performance. A rapid literature review methodology was adopted, suitable for mapping emerging topics efficiently and rigorously. The search, conducted in the Scopus database, prioritized publications from 2022 to 2025 and included relevant Brazilian studies. Sixty-seven articles were initially found, of which thirteen met the inclusion criteria. The results highlight the use of models such as the Capability Maturity Model (CMM), Business Process Orientation (BPO), Digital Maturity Model (DMM), and customized frameworks applied across dimensions like digitalization, sustainability, integration, and operational performance. It is concluded that these models serve as strategic tools for continuous improvement and decision-making support, especially in contexts with different levels of technological development, and that there are opportunities to adapt them to the reality of small and medium-sized Brazilian enterprises.
Copyright (c) 2026 Zanco, F. C., Garcia, M. V., Gomes, H. C., & Rodrigues, C. M. T. https://creativecommons.org/licenses/by/4.0
Editorial - Organizing & Evaluation Committee
The VI Symposium on Production Engineering, promoted by the Postgraduate Program in Production Engineering (PPGEP) and the undergraduate program in Production Engineering at UFCAT, is a national event encompassing teaching, research, outreach, and culture. Its target audience includes postgraduate and undergraduate students, professors, researchers, engineers, and other professionals working in Production Engineering and related fields. The event took place on September 25th, 26th, and 27th, 2024, at the Federal University of Catalão, with the theme "Technologies and Integrated Systems in Production Planning and Control". Thus, the main objective was to explore the integration of technologies and systems into Production Planning and Control (PPC), fostering interaction between academia, industry, and society. This interaction occurred through the event's activities, such as lectures, short courses, roundtables, technical visits, a space for opportunities with companies, challenges, a solidarity action, and a cultural event. All these activities, taken together, promoted research, teaching, innovation, outreach, and culture.
Technologies and Integrated Systems in Production Planning and Control
Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0
The V Production Engineering Symposium of the Federal University of Catalão (UFCAT) is characterized as a teaching, research and extension event, with a national scope, whose target audience is made up of undergraduate and postgraduate students, professors, researchers, engineers and other professionals working in Production Engineering and related areas. V SIENPRO addresses the theme "Lean beyond manufacturing” and aims to identify experiences, promote discussions, generate scientific knowledge and produce ideas that contribute to the development of competitiveness strategies that allow increasing the efficiency of operations, through the application of innovations and intelligent production systems.
The VII Production Engineering Symposium (SIENPRO), promoted by the Postgraduate Program in Production Engineering (PPGEP) and the undergraduate program in Production Engineering at the Federal University of Catalão (UFCAT), is a national scientific, technological, and innovation event aimed at strengthening teaching, research, extension, and cultural activities. The target audience includes undergraduate and postgraduate students, professors, researchers, engineers, entrepreneurs, and other professionals in Production Engineering and related fields. Held from October 29th to 31st, 2025, its theme was "Innovation, Sustainability, and Entrepreneurship: Paths to the Transformation of Production Engineering." The event aimed to promote integration between academia, the productive sector, and society, fostering the exchange of knowledge, experiences, and innovative solutions, as well as the development of technical and analytical skills aligned with contemporary challenges in the field. The activities developed, such as lectures, short courses, roundtables, and other training actions, provided a collaborative and interdisciplinary environment, stimulating scientific debate, innovation, and the practical application of technologies, methods, and tools of Production Engineering. Finally, the articles selected for this special edition of the Brazilian Journal of Production Engineering (BJPE) reflect the thematic diversity and scientific quality of the works presented at the VII SIENPRO, contributing to the advancement of knowledge, the strengthening of applied research, and the scientific dissemination in Production Engineering and related areas.
Integration between sales and marketing CRM for data-driven decision making: an analysis from the perspective of specialists and users
Over time, CRM has evolved significantly from its origins as a simple contact repository to becoming a data platform used in business intelligence. This study explores, from the perspective of experts and users, how the integration between Sales and Marketing CRM systems can benefit data-driven decision making. A qualitative methodological approach was used, with a literature review and semi-structured interviews with professionals from different areas of expertise. Data analysis was performed using the Iramuteq software, employing the similarity analysis method. The results show that the interconnection between CRMs provides a consolidated view of the customer, enables more accurate identification of opportunities, and improves the efficiency of marketing campaigns and sales actions. Based on these findings, twelve practical indicators are proposed to help companies measure the benefits of integration. The conclusion reached is that this research can strengthen the domain of information systems, which reaffirms the relevance of the association between the areas of marketing and sales as a strategic factor in data-driven contexts.
Copyright (c) 2026 Santana, B. G. R., Luche, J. R. D, & Freitas, C. R. de. https://creativecommons.org/licenses/by/4.0
Influence of Impurities on the hygroscopicity of phosphate Fertilizers
The growing demand for phosphate fertilizers highlights the need to assess physicochemical parameters that determine product quality, particularly hygroscopicity, which directly affects storage, transport, and agricultural application. This study evaluated the influence of iron, aluminum, and magnesium impurities on the hygroscopicity of granular triple superphosphate (GTSP). Bench-scale experiments were performed using TSP with different impurity levels, following an orthogonal central composite design (α = 1.41). Samples were granulated in a disc pelletizer under controlled conditions and subjected to hygroscopicity tests at 80% relative humidity for 24, 48, and 144 hours. Moisture uptake ranged from 4% to 7%, values sufficient to induce caking. Among the impurities, iron exhibited the greatest effect, followed by aluminum and magnesium. However, results showed that the key factor influencing hygroscopicity was the increase in residual phosphoric acidity, resulting from lower conversion rates during solubilization reactions. The study concludes that GTSP hygroscopicity is strongly linked to residual acidity control, emphasizing the relevance of industrial practices such as neutralization processes, improved mineral beneficiation, and the use of anti-caking additives.
Copyright (c) 2026 Fernandes, N. J., Silva, A. C., Silva, E. M. S., Xavier, D. L., & Souza, K. B. F. de. https://creativecommons.org/licenses/by/4.0
From static to dynamic: modular architecture for oculo-palpebral prostheses with natural movement
The absence of dynamic movement, especially the lack of synchronized eyelid blinking, represents a fundamental limitation in conventional ocular prostheses, contributing to The Uncanny Valley phenomenon and hindering social acceptance. Therefore, this study evaluated the feasibility of developing an accessible bio-inspired system capable of translating blink signals into a mechatronic device, while providing sufficient synchrony to enhance the perception of naturalness. This gap was addressed through the development of a real-time detection and actuation system. The architecture integrates non-invasive sensors attached to eyeglasses to capture the signal from the functional eye; a processing algorithm for event detection; and an actuator module to reproduce the movement on an animatronic platform. The tests validated the initial hypothesis, demonstrating a considerable degree of synchrony between the biological stimulus and the prosthetic response. The analysis of the resulting movement indicated natural kinematics, which proved effective in improving the perception of artificiality. This establishes a promising paradigm that transcends the purely aesthetic function of prostheses. By validating the integration of sensors, detection algorithms, and actuators, this research offers a significant contribution to the field of intelligent prosthetics, demonstrating a technically feasible solution for making them more expressive and socially integrated.
Copyright (c) 2026 Cardoso, H. L., Ferreira, J. M. N., Foggiatto, J. A., & Stoppa, M. H. https://creativecommons.org/licenses/by/4.0
Applications of simulation in micromachining: a literature review
Micromachining has gained increasing importance due to the growing demand for micrometric-scale components. In this context, simulation emerges as an important tool, enabling detailed modeling and analysis of micrometric processes without the need for physical experimentation. This article aims to conduct a literature review on the application of simulation in micromachining, identifying the main variables analyzed and the software used. To achieve this objective, the topic was first delineated to identify gaps in the research field, and the search terms “micromachining” and “simulation” were defined. The data sources consulted were those indexed in SCOPUS. In the second phase, the method for selecting the articles was established, starting with a screening of abstracts and subsequently a full reading of the articles for final selection. A bibliometric analysis of the publications addressing the use of simulation in micromachining was also conducted. The information extracted from the studies included the materials investigated, the parameters used, and the variables controlled. In the final phase, the review was written and the conclusions were formulated. The results show that simulation is an important tool in micromachining, offering an in-depth understanding of the processes and enabling the optimization of various parameters.
Copyright (c) 2026 Maia, T. D. P., Reis, L. T. M., Santos, A. G. dos, Resende, A. A. de, & Bachega, S. J. https://creativecommons.org/licenses/by/4.0
Application of the Fitradeoff Method to the problem of classification for customers in the polyurethane sector: a case study
In a context of globalization of raw materials (polyol and isocyanate) in the polyurethane sector, within the Business-to-Business model, Customer Relationship Management is essential in decision-making to determine buyer segmentation based on three levels of prioritization. This research uses the compensatory Multi-Criteria Decision Analysis method, FITradeoff, to classify the ten raw material buyers of a chemical company using four qualitative and quantitative criteria. The robustness of the model was ensured by the sensitivity analysis performed by the software on the variations in the performance of the criteria. The data were subtracted from the company's database for the period 2024. In the results obtained, three buyers were classified as high impact, three as medium impact, and four as low impact, providing the company with strategic decisions on product planning and marketing and sales actions in a more efficient manner.
Copyright (c) 2026 Mata, H. R. L., & Vieira, J. G. V. https://creativecommons.org/licenses/by/4.0
Application of Dmaic and Business Intelligence for analysis and standardization of the Andon System in a vehicle manufacturer
In a manufacturing environment, the Andon system plays a crucial role in the immediate signaling of problems that occur on the production line and is fundamental for driving corrective and preventive actions for the identified issues. In this context, the present article aims to apply the DMAIC methodology to improve the management of occurrences recorded by the Andon System in an automotive assembly plant. To achieve this, analyses of system data were conducted, along with a brainstorming session involving multifunctional teams from different areas to understand the main reasons for system activation, the measurement of these data, and the proposal of a new management system. As a result, it was possible to identify that the main problems were caused by the lack of standardization of occurrences, insufficient data in the records for analysis and decision-making, lack of periodic evaluations, and lack of training. Consequently, the occurrence-handling actions were standardized, eliminating obsolete and inaccurate data to generate precise and real-time information through the application of Business Intelligence. The activation occurrences are now stored in a unified environment with clearer visualization of records, facilitating and enabling more assertive decision-making in action plans with preventive and corrective measures.
Copyright (c) 2026 Oliveira, E. de F., Fonseca Júnior, L. A. da, Santos, A. G. dos, & Nunes, D. M. https://creativecommons.org/licenses/by/4.0
Analysis of the productive dynamics of corn (Zea mays L.) in the municipality of Cabaceiras, Paraíba, from 2004 to 2023
This study analyzed the productive dynamics of maize (Zea mays L.) in the municipality of Cabaceiras, Paraíba, from 2004 to 2023, using data from the Municipal Agricultural Production of the Brazilian Institute of Geography and Statistics. Five variables were evaluated: planted area, harvested area, quantity produced, average yield, and value of production. The data were graphically organized and analyzed using Principal Component Analysis with the R software. The results showed high interannual variability in all variables, reflecting the instability characteristic of rainfall-dependent agricultural systems in the Semi-arid region. An alternation was observed between years of expansion of cultivated area and production and periods of strong contraction or absence of cultivation, indicating high sensitivity of the crop to climatic conditions and local technological limitations. In years with better rainfall conditions, peaks in planted area, production, and economic value occurred, while several years registered low production levels or absence of harvest. Multivariate analysis indicated a strong association between quantity produced, average yield, and production value, highlighting the importance of productivity for the economic performance of the crop. The results reinforce the need for adaptive strategies that promote greater productive stability and sustainability of agriculture in the Semi-arid region.
Copyright (c) 2026 Muniz, J. I. de A. S., Albuquerque Jr., A. M. de, Andrade, W. L. de, Sousa, H. H. T. G. de, … Rodrigues, O. G. https://creativecommons.org/licenses/by/4.0
Effects of sulfentrazone in weed control and phytotoxicity in eucalyptus plants
Chemical weed control is considered one of the costliest practices in eucalyptus silviculture, causing numerous direct and indirect impacts on crop development. Furthermore, overestimated herbicide doses and application rates can reduce application efficiency and compromise product effectiveness on the intended target. This study aimed to evaluate the efficacy of sulfentrazone applied at different doses and spray volumes in pre-emergence weed control, as well as to investigate the phytotoxicity caused to Eucalyptus grandis × Eucalyptus urophylla clones during the initial growth stage. The experimental area was established with the E. grandis × E. urophylla clone. The experiment was conducted in a randomized complete block design using a 2 × 5 + 2 factorial arrangement, consisting of two application rates (150 and 200 L ha⁻¹) and five sulfentrazone doses (400, 500, 600, 700, and 800 g ha⁻¹), plus an additional treatment with flumioxazin (standard treatment) and another treatment without herbicide application (control), with four replications. The results showed that the highest sulfentrazone dose (800 g ha⁻¹) caused the greatest phytotoxicity in eucalyptus plants. Application rates did not significantly affect weed control. Sulfentrazone doses ranging from 400 to 600 g ha⁻¹ can be used as a pre-emergence herbicide during the initial establishment phase of eucalyptus plantations
Copyright (c) 2026 Ribeiro, L. F. O., Ribeiro, J. R. D., Almeida, A. M. H. de, Ribeiro, J. V. O., Freitas, I. L. de J. ., & Vitória, E. L. da. https://creativecommons.org/licenses/by/4.0
Life cycle assessment of cement-based products: critical review and future perspectives
The construction industry has a significant environmental impact, accounting for a considerable portion of global raw material consumption and greenhouse gas emissions, a situation exacerbated by the intensive use of cement and the energy required for its production. These factors have driven studies aimed at quantifying such impacts, establishing Life Cycle Assessment (LCA) as a fundamental technical tool for this measurement. In this regard, this study presents a systematic review of the literature on LCA applied to cementitious products, conducted in accordance with the PRISMA protocol. The research covered the Scopus and Web of Science databases (2014–2025). After applying eligibility criteria based on the guidelines of ISO 14040 and 14044, and discarding superficies approaches, the final portfolio consisted of 69 articles (3 reviews and 66 original studies). The results of this study indicate a predominance of research on concrete (84%), and the main category studied was “global warming potential” (83%). However, critical gaps were identified: 44% of the studies omitted impact methods, and 9% did not define the system boundaries. Finally, it is evident that although LCA is a well-established tool, the field requires greater methodological standardization, the inclusion of socioeconomic indicators, and more in-depth sensitivity analyses.
Civil Engineering, Design and Architecture
Copyright (c) 2026 Pinho, G. C. de S., Lucena, G., Mattos, F., & Nascimento, M. L. A. do. https://creativecommons.org/licenses/by/4.0
Um estudo dos modelos HydroPol2D e SWAT+GWFlow para melhorar a previsão de cheias: um estudo de caso no Brasil
Estudos limitados avaliaram os efeitos das práticas de gestão do solo nos processos hidrológicos e nas respostas agronômicas em sistemas integrados de rios e aquíferos, considerando o panorama completo: hidrologia, sistemas agroflorestais, seres humanos e biodiversidade. Com a intensificação das mudanças climáticas e a crescente alteração da vegetação urbana, as bacias hidrográficas urbanas estão sofrendo eventos de inundação mais frequentes e severos. Os modelos hidrodinâmicos são vitais para a compreensão e gestão desses eventos, mas muitas vezes dependem de dados de estações hidrométricas que podem ser escassos e imprecisos, especialmente durante eventos climáticos extremos. Esta pesquisa concentra-se em como a combinação de estratégias estruturais com abordagens não estruturais pode melhorar a resiliência a inundações e o planejamento de resposta a emergências. A questão central da pesquisa é: como a cultura influencia os sistemas de gestão de inundações (incluindo a modelagem hidrodinâmica) e os desafios relacionados à drenagem, como o alagamento? Um resultado fundamental do estudo é a identificação de uma estrutura de Gestão do Conhecimento e Participação Social como uma ferramenta útil para a criação de um plano eficaz de gestão de inundações utilizando o modelo HydroPol2D. No entanto, as limitações do HydroPol2D, particularmente a falta de consideração dos impactos da agricultura na hidrologia, levam à recomendação de usar o modelo SWAT+ juntamente com o módulo de águas subterrâneas GWFlow para fornecer uma avaliação hidrológica mais integrada e robusta.
ENVIRONMENTAL ENGINEERING AND SUSTAINABILITY
Copyright (c) 2026 De Angelis. C. T. https://creativecommons.org/licenses/by/4.0
Bibliometric analysis on the integration of Last-Mile Logistics with Industry 4.0
Last Mile Logistics (LML) represents the final stage of a Business to Consumer (B2C) service, delivering goods to the intended customers. Some challenges of the logistics process can be overcome using Industry 4.0 tools and technologies. This article aims to identify, through bibliometric analysis, the scientific production that links LML and Industry 4.0 from 2021 to 2025, examining the authors, collaboration networks, and trends of emerging research themes. To this end, the hypothetico-deductive scientific method was applied, along with a mixed qualitative and quantitative research approach and the bibliometric analysis procedure using the VOSviewer software. The investigation used the ScienceDirect database. The publication pattern within the analyzed time horizon was examined using term co-occurrence techniques and cluster analysis. The results indicate that most research associated with IoT, big data, and autonomous vehicles is dedicated to LML. This suggests the importance of these technologies for optimizing deliveries. This study presents the scientific landscape and provides support for proposing theoretical–conceptual models and practical solutions in the logistics field.
Copyright (c) 2026 Oliveira, K. C. S. de, Tavares, D. M, & Bachega, S. J. https://creativecommons.org/licenses/by/4.0
Uma revisão abrangente sobre o desenvolvimento do sistema de gestão de ativos no Brasil, alinhado à ISO 55001
Este artigo apresenta uma perspectiva evolutiva da gestão de ativos, examinando seu desenvolvimento desde os fundamentos da Terotecnologia no Reino Unido até a consolidação da norma ISO 55001 e sua adoção no Brasil. São analisados os fatores históricos, institucionais e regulatórios que moldaram a disciplina, bem como as tendências contemporâneas e os desafios que influenciam a maturidade dos sistemas de gestão de ativos em distintos contextos. O estudo adota um enfoque histórico-comparativo, revisitando iniciativas britânicas pioneiras, incluindo os estudos conduzidos pelo Ministério da Tecnologia nas décadas de 1960 e 1970 e, posteriormente, analisando as contribuições australianas, especialmente a elaboração de manuais e a incorporação da gestão de ativos em marcos regulatórios. Aborda-se também a trajetória brasileira, marcada pela transição de práticas corretivas e preventivas para modelos estratégicos, com destaque para o papel da ABRAMAN e a implementação da ISO 55001. Dados provenientes do ISO Survey 2023 e da pesquisa nacional da ABRAMAN de 2022 permitem avaliar a maturidade global e nacional. Os resultados evidenciam uma evolução de abordagens técnicas para uma orientação centrada em governança e criação de valor.
Copyright (c) 2026 Oliveira, H. L. S. https://creativecommons.org/licenses/by/4.0
Impact of ambient temperature on the cooling of power transformers: a CFD investigation for regions of the state of Espírito Santo
Electrical transformers are being studied to increase energy efficiency and reduce environmental impact. In this context, the objective of the present work is to evaluate, using computational fluid dynamics (CFD), the impact of ambient temperature on the cooling of electrical transformers for different temperature values, covering the climatic conditions of regions in the state of Espírito Santo, Brazil. A 250 kVA electrical transformer was studied using CFD, with the air temperatures of the municipalities of interest applied as boundary conditions in the modeling. The results show that february is historically the hottest month, with the highest average maximum temperature in Alegre at 34.2 °C, and peak temperatures were recorded in Marilândia (42.1 °C) and Ecoporanga (40.0 °C). From the computational simulation, it was observed that temperature is distributed from its maximum values near the surfaces of the coils and the core to its minimum values at the external surfaces of the transformer. The average and maximum oil temperatures increase as the ambient temperature rises, due to the decrease in heat dissipation to the outside. This result suggests that greater attention should be given to devices installed in the municipalities of Alegre, Marilândia, and Ecoporanga.
Copyright (c) 2026 Feroni, R. de C., Viana, J. T. de S., Maionchi, D. de O., Monteiro, R. V. A., Fonseca, A. L. A. da, Feroni, W. J., & Silva, J. G. da. https://creativecommons.org/licenses/by/4.0
Multi-criteria method for reducing risks in strategic decisions for new businesses in the wood industry
The timber sector is growing in Brazil and worldwide, driven by demand from the construction, furniture, and packaging industries. In the state of Espírito Santo (ES), this sector accounts for 25% of the agribusiness GDP and faces production bottlenecks due to limited planted area. Given the sector’s economic relevance and the uncertainties involved in the development of new ventures, it becomes essential to adopt strategic decision support approaches. This study aims to investigate how Multicriteria Decision Aid (MCDA) methods can be applied to the management of strategic risks related to the implementation of new sawmills. To this end, a case study was conducted in the municipality of Venda Nova do Imigrante (ES), using the FITradeoff method to support two decisions: selecting the location for the facility and choosing the most appropriate production line. The results indicated that Site A and Line 2 were the most advantageous alternatives, with the criteria “land price” and “number of jobs generated” standing out in the decision hierarchy. Sensitivity analysis indicated robustness in the recommendations. It is concluded that the proposed approach contributes to reducing strategic uncertainties by supporting structured decision-making in new ventures within the timber sector.
Copyright (c) 2026 Saick, E. K., Deud, R. B. A., Rodrigues, T. de A., & Torres, H. B. https://creativecommons.org/licenses/by/4.0
Challenges of food safety in a mobile food and nutrition service unit: hygienic-sanitary analysis, menu execution, and cold chain control during a military mission in the Amazon
Food safety in embarked military operations represents a major sanitary and logistical challenge, particularly during long-term humanitarian missions carried out in remote regions such as the Amazon. This study aimed to evaluate hygienic–sanitary conditions, execution of the planned menu, and temperature control of food storage in a mobile Food and Nutrition Unit (FNU) installed on a military barge during a humanitarian mission in the state of Pará, Brazil. This qualitative, descriptive, field-based study was conducted over 34 consecutive days. Hygienic–sanitary conditions were assessed using a checklist adapted from Brazilian Health Regulatory Agency (ANVISA) Resolutions RDC No. 275/2002 and RDC No. 216/2004, comprising 114 items distributed across 11 thematic axes. Menu execution was evaluated by comparing planned menus with meals served, while temperature control was analyzed through daily records from refrigeration and freezing units. The FNU achieved an overall compliance rate of 74%, classified as Group 2 (Regular). Higher compliance was observed for breakfast (82%), whereas lunch, dinner, and supper showed compliance below 55%, mainly due to logistical constraints, food perishability, and the prolonged duration of the mission. Refrigeration units exhibited thermal instability, including inadequate temperature records and periods of inoperability. Although overall performance was considered satisfactory given the operational limitations, critical weaknesses were identified in documentation, food preparation practices, menu execution, and maintenance of the cold chain.
Copyright (c) 2026 Pereira, D. G. B., & Lima, C. L. S. de. https://creativecommons.org/licenses/by/4.0
Modelagem híbrida de interfaces discretas-contínuas em sistemas de mineração
As cadeias de suprimentos da mineração frequentemente envolvem interfaces entre processos discretos e contínuos, como a interação entre o fluxo de caminhões da mina e sistemas de britagem, onde a variabilidade operacional pode se propagar pelas etapas de produção e afetar o desempenho do sistema. No entanto, a maioria dos estudos analisa estes subsistemas separadamente, com pouca atenção à dinâmica integrada entre processos discretos e contínuos, presente em diversos pontos ao longo da cadeia produtiva. Este estudo investiga a propagação da variabilidade na interface mina-usina de uma planta de extração e beneficiamento de minério de ferro, utilizando uma estrutura de modelagem híbrida que combina simulação de eventos discretos (DES) e modelos analíticos de filas. O componente DES representa a dinâmica estocástica das operações de mina, enquanto um modelo analítico G/G/1/b avalia o comportamento do sistema de britagem a jusante. Os modelos são calibrados utilizando 13 meses de dados operacionais e aplicados para avaliar cenários operacionais alternativos, incluindo expansão da frota, implementação de estoque de segurança e redução de microparadas. O estudo demonstra que a modelagem híbrida fornece uma abordagem eficaz e escalável para analisar a propagação da variabilidade em sistemas de mineração complexos com interfaces discreto-contínuo.
Copyright (c) 2026 Almeida, J. F. de F., Passos, L. F. D., Conceição, S. V., Mota, T. V. F., & Torres Jr., N. https://creativecommons.org/licenses/by/4.0
SADEBE 2.0: programming structure for decision support systems in health
SADEBE 2.0 features an enhanced programming framework designed for the development of Health Decision Support Systems, with an emphasis on standardization, integration, and efficiency in clinical data processing. Compared to the original version, it has incorporated new modules, expanded interoperability, and introduced advanced analysis mechanisms, strengthening support for evidence-based decision-making by professionals and managers. In addition, the system now employs two decision support methods Random Forest and Hidden Naive Bayes enhancing the robustness and accuracy of clinical recommendations. Based on validated clinical rules, SADEBE 2.0 enables the construction of a clear, objective, and reliable decision-making flow, guiding nursing practices in a systematic and safe manner. The implementation in PHP contributed to an intuitive interface, ensuring efficient processing of clinical rules and integration with a database for storing evidence and care records. In this way, the system strengthens professional nursing practice, promoting greater precision, agility, and safety in patient care.
Sarah Loyse Silva Cavalcanti de Albuquerque
Copyright (c) 2026 Fernandes, M. de L., Chaves, E. V. de S., Sales, A. B., Bezerra, R. D., & Albuquerque, S. L. S. C. de. https://creativecommons.org/licenses/by/4.0
Productive performance of bean cultivation in the municipality of Olivedos in Paraíba: trends and indicators (2004-2023)
Cowpeas [Vigna unguiculata (L.) Walp], also known as green beans or macassa beans, are legumes of high socioeconomic importance for northeastern Brazil, where they are widely cultivated in semi-arid areas. The crop is strategically important because it supplies the domestic market, enables exports, and is an essential source of income for family farmers. However, as with other agricultural crops, cowpea production is strongly influenced by adverse factors, notably climate variability and the occurrence of phytopathogenic diseases, which can compromise seed yield and quality. In this context, the present study aims to analyze the productive dynamics of beans in the municipality of Olivedos, Paraíba, from 2004 to 2023, seeking to identify trends, productive indicators, and factors responsible for the observed variations. The results indicate high interannual variability, reflecting both the effects of irregular climatic conditions and the positive impacts of adaptation strategies adopted by local farmers. Considering the importance of beans for the subsistence and income of small producers, it is essential to invest in actions that strengthen this production chain. Among these, the adoption of varieties aimed at reducing production instability and increasing the food and economic security of rural families stands out.
Copyright (c) 2026 Abreu, K. G., Andrade, W. L. de, Alves, L. F., Araujo Neto, A. P. de, Barbosa, M. D. G., Silva, L. K. P. da, Arruda, M. E. de, Muniz, J. I. de A. S., Sales, L. P. da S., Isidro, R. ., Barbosa Júnior, A., Souza, M. M. A. de, Morais, R. R. de, Franco, T. B. M., Ferreira, A. P. de S., Souza, C. A. de, Maddalena, A., Sousa, F. de A. R. da M., Silva , C. G. da, … Rodrigues, O. G. https://creativecommons.org/licenses/by/4.0
Use of the active flipped classroom methodology in teaching transition metal complexes and their use in the production system
We present a methodological proposal for teaching chemistry based on the flipped classroom, aiming to overcome the traditional teaching model, which often demotivates students. We explore how this approach can be applied to promote greater student autonomy and active participation, using digital resources and collaborative activities. Aspects related to transition metal complexes and their applicability in the manufacturing sector were studied. Experience reports indicate that the methodology has the potential to optimize classroom time, deepen learning, and develop essential 21st-century skills, such as critical thinking and problem-solving.
Copyright (c) 2026 Mininel, F. J., & Silvana, S. M. X. M. https://creativecommons.org/licenses/by/4.0
Implementing BIM (Building Information Modeling) in public projects: a case study of the Muniz Sodré Penitentiary.
The purpose of this study is to analyze the implementation of the BIM methodology for asset management in the Brazilian public sector, using as a case study the renovation of the electrical system of a correctional facility located in the state of Rio de Janeiro. To this end, the proposed methodology includes the survey of the existing structure and the diagnosis of obsolescence problems, the development of the new electrical project in a BIM platform, and a questionnaire to assess the results and challenges of the implementation. As results, quantitative and qualitative improvements were observed in the management of the built asset, such as increased productivity and greater accuracy in cost and schedule planning, as indicated in the research with the project team. The challenges identified are related to the need for co,ntinuous training, the shortage of technological resources, and the difficulty in organizing data among teams. In conclusion, the study found that the BIM methodology provides greater efficiency, transparency, and cost savings in the maintenance of public buildings; however, it faces barriers that require a gradual process of institutional maturity to effectively integrate the methodology into asset management.
Copyright (c) 2026 Carvalho, R. R., Melo, Érica T. de, & Carmo, C. S. T. do. https://creativecommons.org/licenses/by/4.0
Methodology for extending service life: application to large-scale excavation assets
This paper presents the application of Life Data Analysis (LDA) as a tool for reliability assessment and optimization of replacement cycles of mechanical components in large‑scale electric excavators used in mining operations. The proposed methodology is based on the collection and treatment of historical operational data, statistical modeling using probabilistic distributions, and the analysis of the impact of extending asset service life on reliability and operational costs. The study was applied to the main mechanical systems (hoisting, digging, swing, and propulsion) of Caterpillar 7495HD and 7495HR large‑scale excavator models, using data from the period between 2020 and 2025. The results indicate that, for most of the components analyzed, it is possible to extend replacement cycles while maintaining reliability levels within previously established limits. The application of the methodology to a hoist gearbox demonstrated a 20% increase in service life, with a significant reduction in the number of preventive replacements. Financial projections indicate substantial potential gains resulting from reduced costs related to components, installation kits, and losses associated with equipment downtime, thereby demonstrating the technical and economic feasibility of the proposed approach.
Copyright (c) 2026 Ferreira, M. C. F., Magno, E. de M., & Silva, B. C. da. https://creativecommons.org/licenses/by/4.0
Transforming public health with artificial intelligence: an applied case study
Digital transformation in healthcare has driven process automation, resource optimization, and personalized patient care. This study aimed to implement and evaluate the use of free Artificial Intelligence (AI) tools applied to the pharmacy, outpatient clinic, continuing education, and Patient Safety Center (PSC) sectors in a public hospital. The methodology consisted of an exploratory and descriptive study, based on an initial evaluation of 30 AI tools using a Likert scale decision matrix to select the five most suitable solutions. After technical training, the implementation revealed a significant increase in the familiarity and engagement of professionals with 4.0 technologies. Tools such as You.com in the pharmacy and Synthesia in continuing education showed high acceptance, optimizing the speed of regulatory searches and the effectiveness of internal training. The study concludes by demonstrating that digital innovation is viable and accessible even in resource-limited scenarios.
Copyright (c) 2026 Pimentel, C., Guimarães, C., & Araújo, A. C. https://creativecommons.org/licenses/by/4.0
Environmental comfort, functionality, and resident satisfaction: a post-occupancy evaluation in a multi-family residential building
Brazilian residential buildings, especially those of low and medium standard, often have unsatisfactory performance, even with the possibility of improvements through simple design strategies. In this scenario, Post-Occupancy Evaluation (POE) becomes a fundamental instrument for understanding the real performance of buildings in use, combining technical criteria with user perception, according to ABNT NBR 15575:2024. This study evaluated a medium-standard multi-family residential building in relation to environmental comfort, functionality, safety, and resident satisfaction. The results showed a high level of thermal satisfaction, especially in the kitchen, with 100% acceptance on the "pleasant" scale; the other environments showed small variations between the scales. Regarding natural lighting, there was a predominantly positive performance in the service areas, bedrooms, and bathrooms; evaluations classified as "well lit" or "well lit" obtained 100% of the responses. The evaluation also showed an adequate relationship between spaces and daily activities, with emphasis on the living room as a multi-functional environment.
Copyright (c) 2026 Sidnei, J. R., Hilário, M. L. V. X., Jesus, S. L. A. de, & Paula, H. M. de. https://creativecommons.org/licenses/by/4.0
Development of a chatbot with artificial intelligence support for application in a supply chain operational sector
Digital transformation has driven efficiency across the supply chain; however, operational sectors still face challenges related to rapid access to information, reliance on tacit knowledge, and difficulty in standardizing internal guidelines. This study analyzed the implementation of an Artificial Intelligence (AI)-based chatbot as an internal support tool in a multinational company, focusing on optimizing the workflow of an area within Supply Chain. This applied case study was structured through document analysis, development of the chatbot on a corporate platform with an LLM, supervised curation and training, and finally, evaluation of user perception. The results indicated a significant improvement in chatbot accuracy, increasing from 65% to 92% between January and September 2025, in addition to 100% approval among direct users. Employees reported greater autonomy, reduced need to interrupt colleagues for clarifications, and improved operational flow. It is concluded that AI, when properly trained and supported by rigorous human curation, is a viable and effective solution to strengthen internal processes, centralize information, and enhance the efficiency of reverse logistics operations.
Copyright (c) 2026 Oliveira, J. E. de, & Souza, N. B. P. de. https://creativecommons.org/licenses/by/4.0
Foam-mat layer drying of cashew pulp (Anacardium occidentale L.): analysis and evaluation of kinetics
Cashew fruit holds great economic and social importance in the development of the Northeast region of Brazil. Despite this, its potential is underutilized due to its high perishability. In this context, foam-layer drying presents itself as an alternative, reducing the amount of water present in the food and preventing the development of microorganisms. Therefore, the objective of this work was to study the kinetics of foam-layer drying of cashew pulp. The experimental conditions of 3, 6, and 8% emulsifier, beating times for foam formation of 5, 10, and 20 minutes, addition of 40% milk, and ultrasonic pretreatment for 2 minutes were evaluated. The fit of kinetic drying models was also assessed, and the Midilli and Weibull models showed an excellent fit. Analyses of the moisture content and water activity of the obtained powders indicated that they are in good condition for storage and subsequent application. Finally, analyses of total phenolic compounds and antioxidant capacity by DPPH and ABTS yielded results of up to 12.55 mg GAE/mg of sample, 44.38 μmol TE/g of sample, and 325.46 μmol Trolox/g of sample.
Copyright (c) 2026 Moura, L. E. F. de, Paiva, E. M. de O., Freitas, R. G. L., Souza, G. F. de V., & Pereira, A. A. C. https://creativecommons.org/licenses/by/4.0