Revista Ingenium | Universidad Yacambú

Editorial

2025-07-01T10:54:39-04:00

University social responsibility according to ISO 26000:2010

2025-04-17T13:18:13-04:00

Yacambú University is at a pivotal moment to strengthen its commitment to University Social Responsibility (USR) through the development of research whose main objective is to propose strategies for improving USR based on Chapter 7.4 of the ISO 26000:2010 standard at Yacambú University. To diagnose the institution's current situation and propose possible solutions, various techniques and tools were used, including the AUTORSE method, which revealed a 42.06% compliance level, indicating that the institution is in the early stages of the implementation process. Through observations, interviews, and diagnostic audits, key weaknesses and opportunities were identified to move toward a more socially responsible management approach. Based on these findings, a SWOT matrix was developed as a starting point for designing strategies to drive continuous improvement. The proposal was structured around the PDCA cycle (Plan, Do, Check, Act), allowing the university’s actions to be guided toward more sustainable and inclusive goals. The presented proposal offers a clear and feasible roadmap to achieve this objective, helping to consolidate a more ethical and committed organizational culture aligned with the expectations of today’s society.

Comparison of filtering medium in the process of making sangria at the company Bodegas Pomar C.A.

2025-07-01T09:57:52-04:00

This research aims to comparatively evaluate the performance of three filter media used in the sangría production process at Bodegas Pomar C.A., located in Carora, Lara state, in order to ensure a quality product that meets the company’s standards. The study is developed under the positivist paradigm, with a quantitative approach, as a special project in a descriptive, field-based, cross-sectional, and experimental design. It is structured in three stages. The first stage involves diagnosing the current situation through direct observation, unstructured interviews, surveys, and data recording, using validated instruments evaluated by expert judgment and a KR-20 reliability coefficient of 0.7730. The second stage characterizes the system and the filter media, establishing values for the simulation process. The third stage presents a proposal in two phases: a technical study, consisting of laboratory simulations of the three filter media, and an economic study, estimating an annual cost saving of 10.32% with the selected supplier. The study concludes that it is necessary to consider replacing the current diatomaceous earth supplier, recommending a viable alternative that meets both technical and economic requirements for implementation.

Recovery of semiconductor materials for a sustainable economy

2025-05-31T19:29:13-04:00

This article investigates the application of the recovery of semiconductors and critical materials present in urban waste, integrating a technical and sustainable approach. Three fundamental stages are analyzed: in the recovery phase, extraction methods are evaluated, and case studies are presented that illustrate both the technical challenges and the opportunities to optimize the process; in the processing phase, purification techniques that transform waste into high-value materials are detailed; and in the reinsertion phase, the reintegration of these semiconductors into the production chain is proposed, promoting the circular economy. The research is based on an exploratory design with a qualitative approach complemented by secondary quantitative analysis. A methodology based on document review, case studies, and comparative tables was applied, integrating technical, environmental, and socioeconomic perspectives. In addition, key sustainable objectives are emphasized: reducing the carbon footprint through energy-efficient processes, minimizing waste by valuing by-products, and conserving natural resources by decreasing dependence on primary mining The findings offer a comprehensive model that strengthens environmental sustainability and promotes innovative policies and strategies for responsible development.

Urban mining: recovery of metals for a sustainable circular economy

2025-05-29T16:59:58-04:00

Urban mining is presented as a key piece for collecting metal waste and, consequently, converting it into new useful products for use. This conducted study shows the main sources of metals in urban environments, including automotive products, appliances, and electronic waste, as well as the types of metals that can be recycled, such as steel, aluminum, and copper. The available separation technologies were analyzed including: magnetic separation, eddy currents, and density classification; including waste recovery processes such as crushing, smelting, or electrolysis. The reintegration of these metals into the circular economy was studied, highlighting their uses in various industries and the potential to replace the use of primary metals. This work was carried out under a descriptive and analytical study with a mixed approach, combining specialized literature review with the analysis of practical cases in the metal recycling industry. The study concludes by highlighting the socioeconomic impacts of urban mining, emphasizing the need for a fair transformation of the workforce in the face of automation and the importance of equitable distribution of benefits.

Impact on flexible production due to the advancement of intelligent applications driven by big data in the current context

2025-07-01T10:24:32-04:00

This essay, based on a documentary review, addresses the impact that the ongoing advancement of Big Data and smart technologies has on flexible manufacturing, resulting in a more efficient, adaptable, and innovation-oriented production model in the current context, highlighting the fundamental role of Big Data as a driver of this synergy. The paper explores the main trends in Industry 4.0, where the integration of digital technologies allows companies to quickly adapt to market demands, optimize processes, and improve efficiency. Furthermore, the paper discusses the challenges associated with managing large volumes of data and implementing smart solutions, as well as the opportunities that arise for innovation and competitiveness, and the risks involved in implementing these technological solutions. The paper concludes that collaboration between flexible manufacturing and Big Data-based applications represents a key strategy for addressing the challenges of the modern economy and promoting sustainable development in various sectors.

Transformative impact of artificial intelligence on mathematical reasoning

2025-05-21T10:04:45-04:00

This article explores the growing impact of Artificial Intelligence (AI) on mathematical reasoning, with emphasis on its progress, limitations and epistemological projections. It examines how AI, through computational models and techniques such as machine learning, automatic theorem proving and optimization using evolutionary algorithms, has achieved significant levels of autonomy in solving complex mathematical problems. Historically, from the Turing Machine to today's neural networks, AI has contributed to remarkable advances, including solving problems in representation theory and diophantine equations. However, fundamental challenges remain: AI lacks deep conceptual understanding, has difficulties in generalization, and relies heavily on data, which compromises transparency and rigor in deductive processes. The article highlights the need to develop symbolic and intuitive capabilities in intelligent systems, and further reasoning. Finally, it proposes a collaborative vision between human intelligence and AI, where the latter acts as a catalyst for mathematical thinking, without replacing its creative dimension. The research emphasizes that the ethical and critical development of AI is essential, recognizing mathematics not only as a beneficiary, but also as the structural foundation of AI.