Conference Agenda

In recent years, our country has shown a remarkable growth at the industrial level, especially since the productive matrix began to be promoted, this has caused the need to improve knowledge in the field of labor administration and production processes in order to remain at the forefront of new technologies and to achieve the best level of competitiveness in a dynamic fertilizers market The present study carried out in the fertilizer processing company is intended to suggest a methodological alternative to improve the resources management by applying a forecasting model for a seasonal demand with a trend and, this is based on the business turn and the company shareholders vision and growth purposes. The analysis focuses on identifying the representative causes that affect the current efficiency of the production system, evaluating the historical production data, classifying products, and proposing a forecast model which would serves as the basis for structuring a production planning system, considering that no forecasting method is accurate and that the model must be adjusted according to the company reality until the proposed system is stabilized.

According to MIDAGRI, more than 880,000 producers in Peru are engaged in cattle raising, mainly in rural areas. In Ucayali, cattle raising represents 17.8% of the Gross Value of Livestock Production, with a lower yield than in coastal cities. Given its impact in Campo Verde - Ucayali,.

In this research, Lean manufacturing and sustainable value chain tools are used mainly in the design of a feedlot with flexible operations. The research begins with the development of the Sustainable Value Stream Mapping (Sus-VSM) for the diagnosis of the current situation, where the indicators of time, capacity and resource consumption are analyzed; this together with articulation strategies to strengthen the value chain and improve both the productive capacity and the quality of life of local cattle ranchers. The result of the research proposes promoting associativity among the producers to establish a slaughterhouse that will produce meat with excellent processing, with an initial investment of S/. 116,102, of which S/. 50,000 would come from Concytec or Procompite competitive funds. A Net Present Value (NPV) of S/. 172,036 and an Internal Rate of Return (IRR) of 37.4% over a 3-year return period is estimated. In addition, the carbon footprint is reduced by approximately 45%. It is expected that these actions will have a positive impact on the quality of life of cattle ranchers, for which the coordinated participation of the actors identified in the articulation of the value chain will be key: Academia, the State, companies and producers.

The work presents a proposal to implement the Business Process Management (BPM) methodology and an aggregate planning model to improve operational efficiency in a small and medium-sized enterprise (SME) in the telecommunications sector in Lima, Peru. The objective of the study is to increase productivity by reducing process times through the redesign of workflows and the integration of technological tools, resulting in the optimization of human resource allocation. The proposal is developed from a review of the business context, followed by a comprehensive review of the state of the art on BPM and aggregate planning. Subsequently, a detailed diagnosis of the company's critical processes to be studied is carried out. Based on these findings, the BPM methodology is implemented, starting with the current design of the processes modeled using BPMN (Business Process Management Notation). Next, the processes are redesigned, and an aggregate plan is proposed to optimize the workforce. Finally, the implementation of an application that facilitates automation is proposed, and control parameters are defined to evaluate performance and ensure continuous improvement. The expected results include a significant reduction in process duration, an improvement in information flow, and an optimization in the use of the workforce, thus contributing to increased productivity.

The increasing complexity of production processes in the food industry requires advanced planning strategies to enhance efficiency and ensure timely order fulfillment. Challenges such as idle times, capacity constraints, and material waste can significantly impact production performance, making optimization essential for maintaining competitiveness. To address these challenges, this study develops a mathematical model based on Mixed-Integer Linear Programming (MILP) to optimize production scheduling and ensure compliance with delivery deadlines in sausage manufacturing. Implemented through an interactive dashboard in Excel with VBA, the model enables users to input product demand and target production dates, generating optimal solutions for synchronizing production stages and maximizing resource utilization. The results include precise calculations for the quantities required at each production stage, optimized start and end times, and an efficient allocation of products to available machines. Additionally, line and bar charts illustrate process times per area and product distribution, enabling the identification of bottlenecks and supporting strategic decision-making. The integration of Solver and VBA in Excel proves to be a cost-effective and adaptable solution to enhance competitiveness in high-demand environments with limited resources

Cash management from accounts receivable is one of the procedures that entails the highest risk and materiality in a company's operations. In this context, this article examines the current management of the customer portfolio of a company engaged in the commercialization of refrigerants and chemical compounds in Guayaquil. According to an external audit report dated October 20, 2024, the company has allegedly experienced misappropriations of these assets.

Through a detailed analysis of the collection process and cash reception, the underlying causes of the problem will be identified and prioritized. The applied methodology follows a combined approach that integrates the phases of operational auditing with the Double Diamond framework of Design Thinking. The main objective is to improve the efficiency of the collection process by developing an applicable solution that mitigates the risks associated with cash management without affecting the company's operations.

This approach focuses on analyzing current procedures, conducting interviews with key personnel, observing the collection process, and formulating a continuous improvement proposal. As a result, this research led to the creation of “AppRecibos”, an application that verifies in real time the amount collected by the salesperson against the amount paid by the customer, providing reliable support for cash collection transactions.