Conference Agenda

Growing concern about the environmental impact of industrial activities has driven the search for sustainable solutions, including implementing green supply chains (GSCM). This systematic review analyzes the efficiency of GSCMs in adopting sustainable practices in their logistics operations, focusing on using renewable energy and machine learning technologies. 80 investigations published between 2019 and 2023 were analyzed in databases Scopus and Science Direct that met the established inclusion criteria were selected. Results show that Industry 4.0 technologies, such as the Internet of Things (IoT), Big Data analytics, and artificial intelligence, positively impact the efficiency and flexibility of GSCMs. These technologies make it possible to provide accurate data to predict and meet customer demands, leading to better economic performance. The study highlights the importance of considering three dimensions of sustainability (economic, environmental, and social) in the GSCM implementation process. Digitization and big data analytics enable accurate tracking of key performance indicators across each dimension, helping organizations proactively identify and address potential issues and improve overall performance across all business areas. However, implementing GSCM presents challenges, especially in the technological field. Analysis of the database revealed five key categories of challenges: economy, organization, environment, technology, and society. Technology accounted for 38% of the obstacles, underscoring the importance of technological innovation in achieving GSCM implementation. In conclusion, adopting Industry 4.0 technologies, such as IoT, is essential for developing efficient GSCM. Study highlights the importance of prioritizing technological innovation to overcome the challenges of implementing GSCM and achieving transition toward a more sustainable production system.

The present study evaluated the effectiveness of the natural flocculant based on tara (Caesalpinia spinosa) as a sustainable alternative for turbidity removal in contaminated water. Treatment conditions were analyzed in two sedimentation intervals, 15 and 30 minutes, using a 200-mesh sieve and three stages: rapid mixing at 200 rpm for 2 minutes, slow mixing at 40 rpm for 20 minutes, and floc sedimentation for the specified time. Different concentrations of tara (Caesalpinia spinosa) were tested. At the 15-minute interval, the samples showed an initial turbidity removal of 9.60%, reducing the average from 62.5 NTU to 56.5 NTU. A gradual increase in treatment efficiency was observed, achieving a significant removal of 58.56%, with residual turbidity values as low as 25.9 NTU. In cases of higher concentration, the maximum recorded removal was 61.60%, with a residual turbidity of 29 NTU, suggesting a saturation point where higher concentrations do not produce significant improvements. At the 30-minute interval, the results showed greater efficiency in turbidity removal. The samples reduced turbidity by up to 42.68%, reaching values of 37.2 NTU in the initial concentrations. The efficiency progressively increased, achieving a removal of 73.60%, with residual turbidity of 16.5 NTU. In the most effective treatments, the maximum removal reached 80.16%, with a residual turbidity of 12.5 NTU, highlighting that longer sedimentation times improve the results. These findings confirm that the tara flocculant is effective for turbidity removal, especially in extended sedimentation intervals, positioning it as a viable and cost-effective solution for contaminated water treatment.

This report highlights the global e-waste problem, projected to reach 74.7 million tons by 2030 due to mass consumption and technological obsolescence. E-waste poses environmental and social risks, releasing hazardous substances like lead and mercury while wasting valuable materials such as gold and copper. Europe leads with a 42.5% recycling rate due to its advanced infrastructure and strict regulations, while Africa lags with only 0.9%. The Americas and Asia show moderate progress at 9.4% and 11.7%, but still face significant structural and regulatory challenges. To address this, the report emphasizes the need for investments in infrastructure, uniform policies, and educational campaigns to promote sustainable e-waste management, recover valuable resources, and reduce environmental and health impacts.

This systematic review analyzes the impact of reverse osmosis (RO) technology on the quality of treated water and its applicability in providing safe and sustainable drinking water between 2019 and 2024. The main objectives were to evaluate the effectiveness of RO in removing water contaminants, as well as its environmental impact and energy consumption. A comprehensive search was conducted in databases such as Scopus, using specific keywords and strict inclusion and exclusion criteria. The results indicate that RO is highly effective in removing a wide range of contaminants, including emerging micropollutants, heavy metals, and persistent organic compounds, significantly improving the quality of treated water. However, challenges such as high energy consumption and waste generation were also identified, requiring mitigation strategies. This review's contribution to the existing literature is significant, highlighting both the advantages and limitations of RO. Future research is recommended to explore combinations of RO with other emerging technologies and their application in less developed contexts to improve the sustainability and effectiveness of water treatment systems.

Mining is a key economic activity in many countries. However, its high energy consumption and environmental impact raise significant concerns. This study evaluates the feasibility of adopting wind energy as an alternative to conventional energy sources in the Peruvian mining industry. A quantitative approach was employed using a descriptive, non-experimental design to analyze the costs and benefits of this transition and compare greenhouse gas (GHG) emissions from both energy sources. The findings indicate that implementing wind energy presents a significant opportunity for long-term reductions in investment, operational, and maintenance costs. Projections estimate that the San Juan de Marcona wind farm in Peru would require an investment of $342 million, while the Punta Lomitas wind farm would demand $570 million over the same period. Comparatively, electricity costs for mining companies are projected to range between $175.99 million and $2.87 billion over 30 years. Furthermore, the transition to wind energy could reduce between 662,515.2 and 5,999,443.2 tons of CO₂-equivalent emissions over three decades. These findings demonstrate that wind energy is not only an economically viable alternative for the mining sector but also a sustainable solution that contributes to environmental protection and the transition to a cleaner economy.

Supply chain management in restaurants is essential to their success. It involves several key areas, such as purchasing food and supplies, selecting reliable suppliers, and negotiating contracts to obtain quality products at competitive prices. In addition, it is essential to maintain good relationships with suppliers, manage deliveries to ensure freshness and punctuality, and control inventory levels to avoid financial losses. Cost monitoring and storage efficiency are also crucial to profitability. Finally, ensuring timely and quality delivery to the customer is essential for customer satisfaction. Effective supply chain management not only optimizes the restaurant operation, but also improves the customer experience and contributes to the overall success of the business.