Conference Agenda

The application of lean manufacturing aims to increase productivity and reduce waste in companies in the food sector in Peru, a common challenge due to the lack of knowledge of its implementation. This research, conducted in a food SME, identified through a Value Stream Mapping (VFM) diagnostic a low productivity (72%) in the ice cream manufacturing process. Key findings included low machine availability in the molding, palletizing and packaging processes (70.60%, 70.32% and 86.46% respectively), bottlenecks in the only two processes with direct operator intervention (13.46 and 11.16 times slower) and excessive changeover times between batches (2.5 hours). To address these problems, tools such as Total Productive Maintenance (TPM), One Minute Exchange of Die (SMED) and Standardization of Work were applied, achieving significant results: an 8.11% increase in productivity, a 9.7% reduction in cycle time, a 42.13% reduction in batch changeover time, a 15.69% increase in machine availability and a 42.44% reduction in the time of the boxing and taping processes.

This research project focuses on optimizing a company's logistics processes with the aim of improving efficiency and effectiveness. Through a detailed analysis of the company's current situation, the main areas of opportunity in inventory management, storage, and purchasing planning were identified. To address these challenges, the implementation of Lean Manufacturing tools such as 5S, Kanban, and Visual Management was proposed. These tools have improved warehouse organization, reduced waste, and increased process visibility. Additionally, a cost-benefit analysis demonstrated the economic feasibility of the proposal, with an internal rate of return significantly higher than the cost of capital. The study concluded that the application of these Lean tools in the company's logistics processes can generate significant improvements in terms of efficiency, cost reduction, and customer satisfaction. The results obtained offer a practical guide for other companies seeking to optimize their logistics operations and increase their competitiveness in the market.

This research project develops a geomechanical model focused on optimizing the design of ramps in underground gold mines, specifically in the Yanaquihua mining operation, Peru. The importance of understanding the geological and geomechanical properties of the rock mass is highlighted to ensure stability and safety in mining operations. The research responds to the need to improve support and haulage systems, which are key components to maintain operability, safety and efficiency in underground mines. Through an exhaustive geomechanical analysis, which includes the evaluation of critical parameters such as Rock Mass Index (RMR) and Rock Quality Designation (RQD), which allowed the development of an adequate support system and improve operational efficiency. This model seeks to reinforce the stability of the excavations, minimize operational risks and allow greater load capacity and safe movement of equipment. One of the key findings was the competitiveness of the rock mass, which led to the consideration of increasing the dimensions of the ramp, an option that had not been previously considered, improving the transport of the extracted material, contributing to a safer and more productive mining operation. It is concluded that the implementation of an optimized geomechanical model not only improves structural stability, but also provides a safer working environment, reducing risks for personnel. Furthermore, it is suggested that this model can be replicated in other small-scale mining operations, contributing to the sustainability and efficiency of underground activities.

The study focuses on addressing absenteeism in real environments, proposing the implementation of electronic methods to monitor and reduce this problem. Through a systematic review of the literature using the PRISMA method, 47 relevant articles met specific inclusion and exclusion criteria. The results indicated that the application of technologies such as software and smart devices have been effective in reducing absenteeism by identifying causes such as stress and inadequate working conditions, which has led to an increase in productivity and well-being of workers. The discussion highlights the importance of using technology as a tool to improve work attendance, address work stress, and promote healthy working conditions, which contributes to a more productive and positive work environment.

In this research, the workstations in the production area of a food company were improved to reduce ergonomic risks. The methodology began with a Rapid Ergonomic Risk Assessment to classify risk levels as acceptable (green) or high (red). Based on these results, ergonomic evaluation methods REBA and NIOSH were applied. REBA identified six workstations with medium risk, requiring intervention, while NIOSH revealed that the maximum allowable weight to be lifted by operators was 10,138 kg. The implemented improvements included the installation of five conveyor belts to eliminate the position of sack loaders, optimization of lighting using the quadrant method, and ergonomic training for workers. After these modifications, risks were reassessed, and a cost-benefit analysis of the redesign was conducted. As a result, a 100% reduction in risks related to static postures and manual load handling was achieved, avoiding SUNAFIL fines of S/ 27 140 and other costs amounting to S/ 87 420. The investment, recovered within 1 year and 9 months, generated a net profit of S/ 83 603, a Net Present Value (NPV) of S/ 191 537, an Internal Rate of Return (IRR) of 27%, and a Benefit/Cost (B/C) ratio of 1,71, demonstrating that the investment was highly profitable and viable, with a rapid recovery of the capital invested.

This research focused on proposing a maintenance management based on RCM to reduce economic losses in the milling area of a sugar company. Likewise, the maintenance process was diagnosed through interviews, documentary analysis and audits, identifying problems such as increased corrective maintenance and poor maintenance management. Considering this, a management proposal based on RCM was developed, using tools such as FMEA and criticality analysis, which resulted in significant improvements in maintenance indicators. Reliability increased from 5,54 hours to 3,22 hours, reflecting an increase of 84,01%, while maintainability decreased by 95,38%, from 2,18 hours to 0,1 hours. In addition, equipment availability increased by 20,75%. These improvements contributed to a 33,61% reduction in economic losses, from S/ 19 768 419,07 to S/ 13 715 776,62. In addition, the economic and financial evaluation demonstrated the viability of the project, with an NPV of S/ 1 726 129,54 and an IRR of 24,71%. Finally, the cost benefit of 1,75 was determined, which is greater than one, that is, the benefit is greater than the investment cost, having a payback period of 5 months, which means that the project is viable for the company.