Conference Agenda

Inventory management is essential to maintain competitiveness and productivity in the metalworking sector. This study analyzes the problems associated with inefficient inventory management in the warehouse of a company located in Villa El Salvador, Peru, specialized in metal structures and construction. Deficiencies include duplicate inputs, frequent losses, and lack of organization, which generate additional costs and affect operational efficiency.To address these problems, it is proposed to implement the multi-criteria ABC method based on the Analytical Hierarchy Process (AHP), a multi-criteria decision-making technique that classifies and prioritizes critical materials according to criteria such as unit cost, quantity of units, inventory cost, and shortage. The analysis includes the use of Ishikawa diagrams and simulations that identify the root causes of the problems and key areas for improvement.The results show that multi-criteria ABC classification significantly improves warehouse organization, record accuracy, and operational efficiency. A manageable and acceptable implementation cost for the company is estimated, with stages of training, organization, and implementation. This solution allows for more efficient management aligned with market demands, contributing to the optimization of logistics processes and increasing business competitiveness

The purpose of this study is to analyze blockchain technology in the traceability of shipments in courier companies in the province of Piura. A qualitative approach was used, through semi-structured interviews with managers and employees of companies in the sector, complemented by a documentary analysis on the use of blockchain in shipping logistics. The results indicate that, although most of the interviewees recognize the potential of the technology to improve traceability through characteristics such as immutability, security and transparency, its adoption is limited due to the lack of training and technological resources. However, companies that have implemented blockchain report significant improvements in operational efficiency and customer satisfaction. This research concludes that the adoption of blockchain can transform logistics operations in the courier sector in Piura, offering important competitive advantages by optimizing delivery times and improving security in data management. Therefore, it is concluded that the effective implementation of blockchain would not only facilitate better traceability, but would also contribute to regional economic development by raising the standards of the messaging service.

This feasibility analysis aims to evaluate the implementation of an automatic loading and unloading system known as the Automatic Truck Loading System (ATLS) in the manufacturing industry of Cortés, Honduras. The proposal seeks to address the need to optimize operational times and improve logistics efficiency, a critical challenge for companies operating in a competitive global market. To conduct this analysis, methods such as structured interviews with key stakeholders in the logistics sector and direct observation of current loading and unloading operations were employed. These methods enabled the collection of accurate information on the limitations, needs, and capabilities of the logistics environment in the region, as well as the validation of the technical and economic applicability of the ATLS system. The analysis highlights the project's technical and financial feasibility, with tangible benefits such as reduced processing times, improved resource management, and lower operational costs. This comprehensive approach provides a solid foundation for strategic decision-making and promotes the modernization of the logistics infrastructure in the manufacturing industry of Cortés.

This article addresses the operational challenges of a timber company with 15 years of experience, focusing on delivery delays and transportation overcosts caused by inadequate scheduling in purchasing and transportation operations. To mitigate these issues, the implementation of a linear programming model is proposed, demonstrating significant improvements by optimizing operations and reducing costs. A comparative analysis between actual and optimal costs reveals a 17% decrease in the total productivity ratio during the model’s application month. Additionally, the model optimizes resource utilization in key areas such as production and storage, reaching 90% production capacity and 45% storage capacity. This optimization reduces overtime and the need for additional personnel while allowing time for preventive maintenance. Economic feasibility is supported by the reduction in total costs and the increase in profit margins. These results provide a valuable framework for improving operations in similar companies, demonstrating that linear programming is an effective and sustainable tool for long-term process optimization.

This This study addresses the problem of a transport company in Callao, Peru, which faces delays in deliveries and unscheduled mechanical failures. To mitigate these problems, two solutions were proposed: the implementation of a Route Programming Plan and an Autonomous Maintenance system. The research was carried out through an experimental design, where relevant information from the company was collected and analyzed, allowing the identification of critical areas that required attention. The simulation results showed a total benefit of $5,578.04, an Internal Rate of Return (IRR) of 22%, a Net Present Value (NVA) of $4.319.32 and a Benefit/Cost ratio (B/C) of 1.37. Route scheduling made it possible to establish standards that improved efficiency in deliveries, while autonomous maintenance encouraged the active participation of operators in the care of equipment, reducing downtime and preventing unscheduled mechanical failures.

It is concluded that the implementation of these strategies not only optimizes operational processes, but also improves the profitability and sustainability of the company. The findings suggest that the adoption of standardized methodologies and a systematic approach to implementation are replicable in other companies in the light cargo transport sector, contributing to continuous improvement and competitiveness in the market.

The present study analyzes the dynamic load capacity of an archaeological complex in Peru through the simulation of discrete events. Tourist flow throughout the day was modelled, considering the different routes and means of transport available, such as cable cars and central stations. The analysis identified critical congestion points in key areas of the route, mainly in the access and exit zones of the complex, which can affect visitor experience and operational efficiency. The results highlight the importance of optimal resource management, including infrastructure and timetables, to improve the distribution of tourist flow. It is recommended to evaluate strategies to optimise the capacity of the transport system and to carry out additional studies to ensure a balance between heritage conservation and tourism growth.