Programa del congreso

This systematic review of the literature arises from the need to promote industrial practices that integrate innovation and sustainability into production processes, key elements for addressing environmental challenges and improving operational efficiency. The objective of this review is to identify and analyze the most commonly used strategies for incorporating sustainable innovation into industrial processes, evaluating their impact on environmental performance, production efficiency, and business competitiveness. A qualitative and descriptive methodology was applied following the PRISMA model, based on 1,234 records obtained from the SCOPUS database up to July 2025, of which 26 studies met the inclusion criteria. During the analysis, key strategies were identified, such as the circular economy, intelligent automation, process redesign, implementation of clean technologies, advanced manufacturing, and industrial digitization. These strategies were applied in various productive sectors such as the food, automotive, textile, energy, and construction industries. It was evident that their application improved process performance, reduced resource consumption, and minimized environmental impact, in addition to promoting compliance with international standards and the Sustainable Development Goals (SDGs). Finally, the results confirm that the correct implementation of sustainable innovation strategies not only optimizes industrial processes but also strengthens organizational competitiveness, provided that favorable conditions exist, such as institutional leadership, investment in technology, an innovative organizational culture, and adequate regulatory frameworks.

Postprandial oral hygiene presents a clinical paradox: the need to remove dental biofilm is countered by the risk of erosive abrasion if brushing occurs immediately. Simultaneously, industry generates massive pollution through non-biodegradable synthetic gum bases. This study aimed to design and characterize "AuraGum," a 100% edible and biodegradable chewing gum, functionalized for controlling Streptococcus mutans. The methodology was based on a thermal emulsification protocol, replacing the plastic base with a natural matrix of Gum Arabic (20%), Chia Mucilage, and Beeswax (5%). The formula was enriched with Xylitol (40%) as a bacteriostatic agent, Coconut Oil (20%), and Sodium Bicarbonate (3%). A cohesive and elastic matrix was obtained, mimicking the commercial texture without syneresis. Its functionality is threefold: mechanical cleaning, bacterial inhibition, and immediate acidity neutralization (buffer), with additional potential observed for the removal of superficial stains. The product dissolves in the mouth within 5 to 10 minutes. It is concluded that AuraGum represents a technically and ecologically viable alternative, acting as a safe therapeutic bridge before brushing and eliminating the generation of plastic waste.

The textile industry is one of the main industrial sectors contributing to the generation of wastewater with a high pollutant load. This activity has therefore driven the development of new technologies that are more efficient in treating this type of wastewater. This systematic review aims to compare the effectiveness of membrane bioreactors (MBR) and nanofiltration (NF), focusing on the efficiency of removing various pollutants and the warmth of the treated water. To this end, a search strategy based on the PICO approach was applied, using the Scopus, SciELO and PubMed databases, from which 358 articles were selected up to March 2025, of which 53 articles were selected after applying the inclusion and exclusion criteria. The results obtained show that MBR is more efficient in removing organic matter and synthetic dyes, while NF performs better against heavy metals and salts. Both methods have demonstrated that the quality of the treated water meets environmental standards, but their application will depend on the type of predominant contaminant and the operating conditions. This research provides a comprehensive and comparative overview of the two technologies used in textile effluent treatment and suggests that integrating the two could be an effective alternative in various industrial settings.

Keywords-- Wastewater treatment, textile industry, membrane bioreactor, nanofiltration, contaminant removal

This study comes up with a new hybrid life cycle assessment (LCA) approach that combines process-based analysis with real-time operating data to solve the carbon riddle of generative AI, which is the tension between the technology's high emissions and its potential to help the climate. Based on an actual review of 12,540 GPU-hours across 36 sector-specific implementations, the study shows that while training models releases 15.2 to 480 tCO₂e, smart application can lead to a net-positive carbon balance over the course of its life. Different types of designs are better at reducing carbon emissions by 2.3 times (p < 0.01) compared to general-purpose models. Task ordering that takes carbon into account and optimizing space also cut working emissions by 28% (±3.2%). To find the best mix between speed, cost, and carbon output, the method uses physics-based neural networks and a multi-objective optimization function. It cuts the average error down to 6.7%, which is 58% better than the old LCA methods. Some important but little-known factors that were looked at in the study are the embodied carbon that comes from making hardware (18.7–38.2% of lifetime emissions) and behavioral return effects, which in industrial settings take away 12.1% (±2.3%) of theoretical gains. As a result, there is good evidence that policy tools such as carbon-aware computer standards and geospatially-tailored green energy incentives can make AI 2.1 to 3.3 times better for the environment.

This study aimed to analyze how Corporate Social Responsibility (CSR) can serve as an effective driver of sustainable development within the operational context of the customs agency MACROMAR, located in Callao, Peru, during 2024. A quantitative research approach was adopted, with a non-experimental, cross-sectional, and correlational design. Data were collected through a Likert-scale survey administered to a census sample of 50 employees. Results revealed a very strong positive correlation between CSR practices and sustainable development (r = 0.884; p < 0.001), as well as significant associations between the dimensions employees–continuous improvement (ρ = 0.882) and society–environmental management (r = 0.808). However, a 100% negative perception was identified regarding the organization’s environmental practices, highlighting a critical weakness. It is concluded that, although CSR actions positively influence organizational sustainability, their true transformative effect can only be achieved through the implementation of clear, participatory, and sustainable environmental policies—shifting from responsibility to tangible action.

This study aims to design purchasing combinations that optimize inventory efficiency while improving sustainability perception in terms of authenticity, accessibility. A mixed-method approach was employed. Quantitative data correspond to one year of import operations of nostalgic products by a Miami-based company sourcing from two suppliers in Honduras and were analyzed using ABC classification and correlation analysis. The qualitative phase consisted of a content analysis of migration dynamics, nostalgic consumption patterns, and logistical practices, which supported the development of a SWOT analysis and the formulation of a strategic logistics framework. The results of the ABC analysis identified three key type A products (X1, X2, X9), two type B products (X19, X24), and three type C products with a substitute function (X20, X23, X11), as well as two hook products (X21, X22) that reinforce mixed sales strategies. These interactions enabled the identification of sustainable logistics strategies focused on inventory diversification, reverse logistics, lateral transshipments, and pallet recycling. The findings provide practical implications for suppliers and distributors, who can leverage substitute and hook products to improve portfolio management and implement smarter inventory rotation strategies. The originality of this work lies in demonstrating how the strategic combination of substitute and hook products can generate flexible and effective logistics solutions aligned with real end-consumer perceptions.