Journal of Scientific and Technological Research Industrial
Machine Learning to improve decision-making in a hospital pharmacy in Lima, 2025
The main objective of this research was to determine how the use of machine learning contributes to improving decision-making processes in a hospital pharmacy in Lima during the year 2025. The study was classified as applied, with a quantitative and descriptive approach, employing a pre-experimental single-group design with pretest–posttest measurements, which allowed the evaluation of the impact of the analytical proposal. The population consisted of historical medication sales data, considering a representative sample for analysis through time series techniques. Regarding the procedure, ARIMA models were applied after evaluating stationarity, autocorrelation, and seasonality criteria, and their validation was carried out using error metrics such as RMSE and MAE. The results showed a significant improvement in the accuracy of medication demand forecasting, as well as in inventory control, reducing stockouts and overstock levels. Likewise, hypothesis testing showed significance values of p < 0.05, with a 95% confidence level, confirming statistically significant differences between the pretest and posttest. It is concluded that the implementation of machine learning models based on time series is effective in optimizing hospital pharmaceutical management, improving operational efficiency and the quality of decision-making, provided that adequate data management and institutional support are ensured.
Copyright (c) 2026 Ronald Raúl Fuentes Acuña https://creativecommons.org/licenses/by/4.0
AI Predictive Models and Their Relationship with Protection Against Advanced Persistent Threats in the Banking System
The objective was to determine the relationship between artificial intelligence predictive models and protection against advanced persistent threats (APTs) in the Lima banking system in 2024. A secondary source analysis was conducted on AI predictive models that detect persistent cybersecurity threats such as malware. A survey was administered to a sample of 79 employees from banking institutions in Lima. The research is non experimental, quantitative, and cross-sectional. The results showed improved security system performance in the banking sector following the implementation of predictive models in areas such as APT detection, mitigation, and prevention, strengthening cybersecurity in a critical environment. These findings highlight the models' usefulness in more accurately predicting the impact of attacks on financial institutions. The survey revealed that the majority of participants believe AI predictive models contribute to protection against APTs and optimize problem-solving, indicating a favorable trend toward the implementation of AI-based tools in the banking system. The application of predictive AI models improves the resilience of the banking system against APT attacks, as their ability to optimize processes enhances resistance and has an effect on the evolution of protection against APT attacks, giving them adaptability to new threats as they improve and become more sophisticated.
Copyright (c) 2026 Héctor Martín Espinoza Villavicencio https://creativecommons.org/licenses/by/4.0
A Business Intelligence Model for Assessing Competitiveness in University Academic Management: A Case Study at UNFV
This study aims to evaluate the competitiveness of academic management through the implementation of a business intelligence (BI) model. A quantitative, descriptive, and non-experimental research design was applied, using the National University Federico Villarreal as a case study for the period 2019–2023. The model was operationalized through dashboards developed in Microsoft Power BI, focusing on admission and graduation processes. The results reveal significant variations in key indicators such as vacancies, applicants, admitted students, graduates, and degree holders, mainly influenced by external factors such as the COVID-19 pandemic. It is concluded that the use of business intelligence tools enhances institutional performance evaluation and supports decision-making in academic management.
Copyright (c) 2026 Juan Alfaro Bernedo, María Alfaro Bardales, Isaac Sánchez Cáceres, Cristhian Lureña Silva https://creativecommons.org/licenses/by/4.0
Seismic resistance in structural elements of rigid cores versus structural walls in a multi-family building in the city of Huancayo
The general objective of this research was to evaluate the technical feasibility of applying a rigid core system by comparing it to a structural wall system in a multi-family building located in the city of Huancayo. The methodology employed was a non-experimental, descriptive-comparative design. Numerical modeling was performed using ETABS software on two structural configurations for the same ten-story building on S2 soil in Seismic Zone 3: Model A (Distributed Stiffness Structural Walls) and Model B (Centralized Stiffness Rigid Core), both designed according to the guidelines of Technical Standards E.030 and E.060. The results of the static and dynamic analyses showed significant differences in mechanical behavior. The rigid core system generated a 14.34% increase in total seismic mass, resulting in a base shear force of 257.14 Tonf, exceeding the demand of the conventional system by 32.25 Tonf. In terms of lateral stiffness, the rigid core exhibited greater flexibility, registering higher interstory drifts (angles of drift) than the wall system. Specifically, in the transverse direction, the core reached an inelastic drift of 0.0070, placing it at the maximum limit permitted by Peruvian regulations. It is concluded that the application of the rigid core is technically feasible, strictly adhering to safety controls, although structurally it is less efficient and more demanding than the wall system. Its use is justified primarily by advantages in architectural functionality and space optimization.
Copyright (c) 2026 Jose Antonio Condor Socualaya, Christian Edinson Murga Tirado, Miguel Angel Condor Vasquez https://creativecommons.org/licenses/by/4.0
Machine learning model in the patient care process in hospital emergencies
This study focused on the development and implementation of a machine learning algorithm aimed at optimizing the flow of care in emergency units, specifically prioritizing the classification or triage stage. To validate the tool's performance, statistical analyses such as Student's t-test and ANOVA were applied, yielding significant values (t = 7.823; p < 0.001). These findings confirm that the model is capable of reducing care delays and refining patient categorization. With an accuracy of 0.98 and an F1-score of 0.94 in detecting complex clinical cases, the proposal exceeds the standards of previous studies, establishing itself as a viable solution for hospitals with high patient saturation.
Copyright (c) 2026 Violeta Morán Huamani https://creativecommons.org/licenses/by/4.0
The Journal of Scientific and Technological Research Industrial - Professionals On Line, allows the publication of articles in all areas of Industrial Engineering and its applications; Summaries of master's and doctoral theses, technical opinions, book reviews and conference articles are also published after acceptance by the Editorial Committee. The magazine is published biannually in Spanish, Portuguese and English in digital format, the latter presentation being free. The articles that are submitted to the arbitration of the INDUSTRIAL ENGINEERING journal must be original and unpublished, and cannot be submitted for simultaneous consideration of evaluation in another academic or professional journal, nor may they have been partially or totally published in another journal. The received articles are subjected to a review of similarities, with the Turnitin software: up to two continuous lines of similarity with another document are accepted.
Copyright (c) 2026 Mildred Jénica Ledesma Cuadros https://creativecommons.org/licenses/by/4.0
Composite Index for Peruvian Business Reclassification Aligned with Industry 5.0
The objective of this research was to design and propose a business reclassification model for the Peruvian context, based on a composite index that includes economic, digital, technological, and organizational dimensions, as well as positioning, considering current Industry 5.0 trends. This is a propositional study with a non-experimental design, which employed a methodology of document review, literature review, and normative analysis. In addition, mixed techniques were used to construct the indicators. The proposed Composite Business Reclassification Index (CBRI) allows for the identification of the level of digital maturity, organizational efficiency, and business competitive positioning, overcoming the shortcomings of the current approach focused exclusively on sales and labor income. The main limitation of the study is its lack of empirical validation or the lack of validation by business and economic experts. However, the proposed model represents an original contribution by offering a business classification more consistent with current trends, with a potential impact on public policymaking. Therefore, its use is recommended to validate its usefulness for both business management and economic development.
Copyright (c) 2025 Ricardo Manuel Rossi Valverde, Ricardo Gabriel Rossi Ortiz, Miguel Angel Ortiz Chávez https://creativecommons.org/licenses/by/4.0
Implementation of a web-based system based on the ICONIX methodology, aimed at optimizing the management and administration of IT services in the Public Ministry
The main objective of the research was to optimize the management and administration of IT services in the Public Prosecutor's Office by implementing a web-based system based on the ICONIX methodology. The study was classified as applied, with a predominantly quantitative approach complemented by qualitative techniques. A single-group pre-experimental design with pretest–posttest measurements was used, allowing for the evaluation of the impact of the technological proposal. The population considered in the methodology presents inconsistencies, as it was defined in the manuscript as the IT requirements of the Public Prosecutor's Office with a sample of 80 records. Regarding the quantitative results, hypothesis tests showed a significance value of p = 0.000 (< 0.05) with a 95% confidence level, demonstrating statistically significant differences and confirming the positive effects of the predictive model in reducing attrition. It is concluded that the use of machine learning is relevant and effective, provided there is adequate data management and a solid institutional implementation.
Copyright (c) 2025 Mónica M. Navarro Pajuelo https://creativecommons.org/licenses/by/4.0
Predictive model for preventing academic dropout among students at a technological institute in Puno, 2025
The objective of this study was to develop a predictive model to prevent academic dropout among students at a technological institute in Puno during the year 2025. The problem addressed lies in the high school dropout rates in rural regions of Peru, influenced by socioeconomic, academic, and personal factors. The research was basic-applied, with a quantitative approach, descriptive and explanatory design, and cross-sectional scope. The population consisted of all students enrolled in the institute in 2025, while the sample consisted of 300 students selected through stratified sampling. The quantitative results show that variables such as poor performance in the first semester, precarious socioeconomic conditions, advanced age at entry, and gender significantly influence the risk of dropping out. The predictive model, based on machine learning techniques such as logistic regression and decision trees, achieved high levels of precision and recall. It is concluded that early identification of at-risk students through predictive models allows for the design of effective intervention strategies. Its institutional implementation is recommended, along with personalized academic, financial, and emotional support measures, which could significantly improve student retention in similar contexts.
Copyright (c) 2025 Hernán H. Huamán Arratia https://creativecommons.org/licenses/by/4.0
Optimization of biodegradable trays with residual potato starch (Solanum tuberosum) and passion fruit waste flour (Passiflora edulis) by thermoforming
The objective of this research was to optimize the formulation of biodegradable trays made from residual potato starch (Solanum tuberosum) and passion fruit residue flour (Passiflora edulis) using thermoforming. The study, with a hypothetical-deductive approach, basic design, cross-sectional scope, and explanatory level, applied a mixture design methodology with 15 experimental runs. The sample consisted of 5 kg of potato starch and 5 kg of passion fruit flour. Statistical analysis was performed with Design Expert 13 using ANOVA and numerical optimization, while graphical representation was carried out with Statistica 10. The results indicated an optimal formulation composed of 45.1% starch, 5.3% passion fruit flour, and 49.7% water, achieving high hardness, low fracturability, and adequate physical properties. Quadratic and linear models showed high reliability (R² > 0.90). It is concluded that the combination of residual potato starch and passion fruit flour allows the production of biodegradable trays with satisfactory mechanical and functional properties, representing a viable and sustainable alternative to conventional plastic packaging.
Copyright (c) 2025 Any Córdova-Chang, Elza Berta Aguirre Vargas https://creativecommons.org/licenses/by/4.0
Mobile Application to Educate on the Technified Rearing of Guinea Pigs, for the Promotion and Development of the High Andean Regions of Peru
This research proposal aims to create a mobile app for educating in the technified rearing of guinea pigs to promote and develop the high Andean regions of Peru. While it is true that guinea pig rearing is a common practice in the regions of Peru, in most cases, it is the economic livelihood for communities. However, despite its importance, guinea pig rearing faces challenges related to the lack of access to updated information and modern techniques that could enhance production and the quality of life of breeders. Therefore, the creation of a mobile application is proposed to provide information and guidance to promote and develop the high Andean regions of Peru. The objective of this research is the development of a mobile app aimed at teaching and technified guinea pig rearing in the high Andean regions of Peru to empower breeders with the necessary tools and knowledge to improve their production. Providing up-to-date information on best practices in guinea pig rearing, YACHAY CUY aims to bring users from different regions together on a single platform, allowing them to stay connected and communicate through a forum or chat, where they can share experiences, address questions, and provide mutual support.
Copyright (c) 2025 Williams Fernando Rivera Torcillas, Yasmi Fiorella Ccahuana Ninavilca, Oshin Silva Sánchez https://creativecommons.org/licenses/by/4.0
Application of Lean Office and Artificial Intelligence to optimize hospital management for improving Efficiency and Quality of services in Peru
The present study proposes the combination of lean office and artificial intelligence to improve the quality and efficiency in the management of public hospitals in Peru. By combining Lean Office and Artificial Intelligence in hospital management, the aim is to improve both the efficiency and quality of the services provided. This involves identifying and eliminating inefficiencies in administrative and clinical processes, automating routine tasks, optimizing resources, and making better informed decisions through data analysis. The objective of this research is to optimize administrative and operational management by providing a better quality of service to the user. Through the elimination of waste, the automation of processes and data analysis, with the implementation of Lean Office and Artificial Intelligence (AI) in the management of public hospitals in Peru. This research will be carried out, with the aim of not only summarizing the existing research on the topic, but also to include an element of critical analysis, which is based on the PRISMA methodology, for the article was used, data collection and the analysis of case studies such as GOOGLE ACADEMIC, SCIELO, SPRINGER LINK, REDALYC and PROQUEST. Using rigorous and delimiting guidelines where journals from the year 2017-2023 were used, the searches were carried out in Spanish as well as in English. This research shows that the combination of Lean Office and Artificial Intelligence can reduce costs and optimize processes, making it an effective strategy to address the existing challenges in Peru's public hospitals, potentially resulting in more efficient and higher-quality healthcare for patients.
Copyright (c) 2025 Yasmi Fiorella Ccahuana Ninavilca, Williams Fernando Rivera Torcillas, Oshin Silva Sánchez https://creativecommons.org/licenses/by/4.0
Application of vertical axis wind turbines as a sustainable solution for electricity supply in vulnerable urban markets
This work presents the design and implementation of a vertical axis wind turbine as a sustainable energy alternative for urban areas that experience frequent electricity outages. The project was carried out at the San Valentín Market, located in San Martín de Porres, Lima, where instability in electrical supply affects commercial development. An integrated methodology was employed, using both qualitative and quantitative tools, such as surveys, interviews, experimental testing of the prototype, and social validation. The results revealed that 70% of the merchants expressed interest in implementing this system, highlighting its efficiency, low maintenance, quiet operation, and minimal environmental impact. It is concluded that the adoption of vertical axis wind turbines in urban environments represents a technically viable and socially accepted solution, with potential for replication in other similar contexts.
Copyright (c) 2025 José Luis Yovera Sosa, Kevin Anthony Cristobal Bustillos, Danessy Sharon Ramírez Rojas, Oshin Silva Sánchez https://creativecommons.org/licenses/by/4.0
Application of Quantum Computing in modern environments: Systematic review of the literature
Quantum computing is a concept that has innovated traditional computing, its multidisciplinary nature combines computing, physics and mathematics together with quantum mechanics in search of solving complex problems. After the systematic review of the literature in various databases covering the period of the last 10 years under selection criteria, a total of 11 studies were obtained with the theme of the "application" of "quantum computing". It is concluded that the research published until 2020 presents various applications of quantum computing; However, it is evident that multiple disciplines that could benefit from this concept have not yet presented practical studies. This review intends to promote research to innovate in the application of quantum computing in other disciplines in favor of scientific development.
Copyright (c) 2025 Gianmarco Garcia Curo, Erika Mirella Gutierrez Sullca, Fernando Viterbo Sinche Crispin https://creativecommons.org/licenses/by/4.0
La Revista de Investigación Científica y Tecnológica Industrial - Profesionales On Line, permite la publicación de artículos en todas las áreas de la Ingeniería Industrial y sus aplicaciones; también se publican resúmenes de tesis de maestría y doctorado, dictámenes técnicos, reseñas de libros y artículos de congresos previa aceptación por parte del Comité Editorial. La revista se publica semestralmente en español, portugués e inglés en formato digital, siendo esta última presentación gratuita. Los artículos que se sometan al arbitraje de la revista INGENIERÍA INDUSTRIAL deben ser originales e inéditos, y no pueden ser sometidos a consideración simultánea de evaluación en otra revista académica o profesional, ni pueden haber sido publicados parcial o totalmente en otra revista. Los artículos recibidos son sometidos a una revisión de similitudes, con el software Turnitin: se aceptan hasta dos líneas continuas de similitud con otro documento.
Copyright (c) 2025 Mildred Jénica Ledesma Cuadros https://creativecommons.org/licenses/by/4.0
Analysis of the Energy Matrix and its Transition toward Sustainable Development in Latin America
Energy is essential for human well-being, economic development, and environmental sustainability. In this context, the transformation of the energy matrix stands out as a key component of global efforts toward sustainable development. Latin America, with its high potential in renewable energy, plays a strategic role in this transition. However, the region’s strong dependence on fossil fuels continues to generate environmental impacts and hinders progress toward a cleaner energy matrix. This study analyzes the progress and challenges Latin America faces in its path toward a more sustainable energy transition. To this end, a detailed review of academic research, official documents, and updated statistical data was conducted. The findings reveal that approximately 57% of the region’s energy matrix comes from renewable sources—a figure that significantly exceeds the global average, estimated at 30%. Notably, countries such as Brazil, Uruguay, and Chile stand out for their growing use of wind and solar energy. Despite these achievements, structural and regulatory barriers persist, limiting the sector’s comprehensive development. Consequently, the study highlights the need for a more active role from the state through coherent public policies, effective regulatory frameworks, and sustainable incentives. This paper not only provides an updated characterization of the regional energy landscape but also proposes lines of action and research to strengthen the energy transition process in Latin America.
Copyright (c) 2025 Susan Karina Montes Bujaico, Elyane Estefany Belito Huamani, Misael Montes Bujaico, Deyvid Cruz Ventura, Wilson Manuel Montañez Artica, Jonatan Quispe Taipe https://creativecommons.org/licenses/by/4.0
Influence of an interactive system with auditory feedback on the learning of the English language in people with visual impairment
This study investigated the influence of an interactive system with auditory feedback on English language learning in visually impaired people. It was hypothesized that such a system significantly improves English listening and speaking skills in this population. The research adopted a pre-experimental design (G: O1-X-O2) with a sample of 24 participants with various degrees of visual impairment, selected from the Pampas Hospital, Peru. Pre- and post-intervention tests were carried out to evaluate listening and speaking skills, using a system developed under the DESED methodology and evaluated with the ISO/IEC 25010 standard. The results showed an improvement of 31.94% in listening ability (pre-test: 24.54%; post-test: 56.48%) and 38.64% in speaking ability (pre-test: 15.15%; post-test: 53.79%), confirming the general hypothesis (p < 0.05). The system obtained a quality rating of 9.36/10. These findings highlight the potential of inclusive technologies to overcome learning barriers in people with visual impairments, opening new educational and social opportunities.
Copyright (c) 2025 Gianmarco Garcia Curo, Erika Mirella Gutierrez Sullca https://creativecommons.org/licenses/by/4.0
Didactic Implementation of Programmable Automata for the Optimization of Industrial Processes
This article argues for the development of a training module for the practice of automation in the laboratory of the Industrial Electrotechnology classroom of the Pampas Tayacaja Institute; whose purpose is that the same module conceived for learning with these devices is developed in a single place, merging both electrical and electronic devices, to practice with automation, in each required case, allowing them to be carried out in a more efficient and safe way; where a methodological procedure focused on programming programmable logic controllers (PLC) was used and the test of the effectiveness of the module consisted of comparing the technical and economic part with the automation system used in a conventional way, and the automation system with the PLC. The results reflect that the practice module oriented in the development of this article facilitates the assembly time (installation time) and start-up, increasing the useful life of the component and in itself a significant learning of the students.
Copyright (c) 2025 Luis Martínez Balbín , Gianmarco Garcia Curo https://creativecommons.org/licenses/by/4.0
Determination of the enzymatic activity and the percentage of PPO inhibition in the carom sheets post-treated by blanching and osmodehydration
This study evaluates the enzymatic activity and the percentage of PPO Inhibition in starfruit slices treated with blanching and osmodehydration to improve their stability and quality. The research was carried out, applying a 2k factorial experimental design with two main factors: blanching time (10 and 30 seconds) and sucrose concentration (50 and 60 °Brix). The results showed that blanching time has a significant impact on the reduction of PPO enzymatic activity, with the 30-second treatment being more effective. On the other hand, sucrose concentration showed a minor influence, although it contributed to the variability of the data. The optimal treatment for PPO inhibition reached 82.76% with prolonged blanching and an intermediate concentration of sucrose. This shows that blanching is crucial to control enzymatic browning, while osmodehydration complements the process by limiting the availability of water for enzymatic action. It is concluded that the combination of thermal and osmotic treatments allows improving the physicochemical quality and enzymatic stability of the processed star fruit, suggesting the optimization of these variables for their application in derived products.
Copyright (c) 2025 Gina De La Cruz Calderón , Elza Berta Aguirre Vargas https://creativecommons.org/licenses/by/4.0
Leadership Style and Pedagogical Management in Education for the Work of Public Institutions
The research in question is basic and correlational, focusing on the relationship between leadership styles and pedagogical management in the educational field. A descriptive method with a correlational design was used to carry out the study. The sample was composed of 29 teachers from two secondary level educational institutions with a technical variant, belonging to the UGEL Junín. The main objective of this research is to determine the relationship between leadership styles and pedagogical management specifically in the context of education for work in these educational institutions. The data were obtained through the use of the Leadership Styles Questionnaire (CELID-A), as well as through a pedagogical management questionnaire. These instruments allowed to collect the necessary information to analyze the relationship between leadership styles and pedagogical management in the context of the research. In conclusion, it was found that the transformational leadership style is directly related to pedagogical management, evidenced by a value of r = 0.750, which indicates a high and direct positive correlation. On the other hand, the laissez-faire leadership style presents an inverse relationship with pedagogical management, with a value of r = -0.787, which indicates a high negative correlation and direct inverse. In contrast, the transactional leadership style does not show a significant relationship with pedagogical management, suggesting a low negative correlation. The transformational leadership style is the one that predominates in the Pedagogical Management in education for work of the educational institutions of the UGEL Junín. This approach is characterized by its ability to inspire and motivate teachers, promoting an environment of collaboration and continuous improvement in educational processes.
Copyright (c) 2025 Luis Martinez Balbin https://creativecommons.org/licenses/by/4.0
Copyright (c) 2025 Jorge Rafael Diaz Dumont https://creativecommons.org/licenses/by/4.0
5’S methodology in the manufacturing sector
This study aims to present the results of a systematic review of scientific literature by collecting information from international and national articles to recognize how the 5S methodology improves the manufacturing sector. To achieve this study a systematic and organized search was applied with studies that are related to our research topic with which it can be observed that currently how the manufacturing sector has been improving by making processes more efficient with the 5S tool. With which the following question has been raised: How does the 5S methodology improve the manufacturing sector? For this reason, we proceeded to search and separate articles that are not relevant to the study, selecting reliable and authorized pages, defining the search process, the evaluation and selection of the most relevant articles. The contribution of this study focuses on identifying the activities and strategies to be carried out to improve the implementation of the 5S methodology in the manufacturing sector.
Copyright (c) 2025 Maricarmen Noemí Flores Coveñas , William Enrique Zavala Galán https://creativecommons.org/licenses/by/4.0
Application of the 5s tool in companies in the industrial sector: Literature review 2023
The objective of this article was to analyze the results of the scientific literature of various investigations to find evidence of the effects of the application of the 5s tool in companies in the industrial sector. To achieve this purpose, a systematic and organized search of studies related to the object of the investigation was carried out, in which it was possible to observe the access barriers that are currently manifested in the entities of the health sector to achieve levels of efficiency with the application of 5s tools, the most common practices associated with the methodology and the results of its implementation. To this end, we consider the following: What are the effects of the application of the 5s tool in companies in the industrial sector? For this, we proceeded to search for articles, identification of studies, for their respective analysis. Our research guides to identify the actions methods to follow to optimize and improve the performance in the management of the entities of the industrial sector.
Copyright (c) 2025 Andry Hands Torres Saldaña , Emerson David Pérez Castillo https://creativecommons.org/licenses/by/4.0
Occupational health and safety plan for the construction sector in Latin America and Asia, 2023
The main objective of this article was to discern the importance of the Occupational Health and Safety Plan - PSST. Likewise, it had a single variable, which is aimed at the construction sector exactly for the Ibero-American region and Asia, 2023, which includes Spanish and Portuguese-speaking countries, in addition to the countries of the Asian continent, in order to find research that reveals the effect of the Occupational Health and Safety Plan in the construction sector. On the other hand, the methodology that has been used allows obtaining qualitative data, which could be helpful in various investigations after this. Likewise, the population that was evaluated was the scientific research articles related to the construction sector and that are related to an Occupational Health and Safety Plan. In the same way, the sample that has been selected would include the articles of the sector in Latin America and Asia, 2023. Among the main results, the vast information of articles belonging to the countries of Malaysia and Indonesia was located, however, among the universe of countries, factors such as management, costs, training and execution were found that must be considered in an Occupational Health and Safety Plan - PSST.
Copyright (c) 2025 Andry Hands Torres Saldaña https://creativecommons.org/licenses/by/4.0
Production, marketing and consumption of cheeses in the northern area of ​​the Lima-Peru region (2015-2024)
The northern zone of the region of Lima, which includes the provinces of Huaral, Huaura Barranca, Cajatmbo and Oyón with a production of milk estimated at 50,000 kilograms per day, provides this input of about 80% in volume for the production of fresh and ripened cheeses; with a daily production of approximately 10,000 kilos of fresh cheese and 2000 kilos for matured cheeses, with a minimum variability in flavours and textures. The objectives of this work were to determine the production volumes under the various technologies used, identify the marketing chains and their forms of consumption. The research was exploratory and descriptive, with the source being statistical reports from national and international institutions. It was found that 60% of local cheese production is artisanal and is carried out by SMEs engaged in milk processing, with 70% in fresh cheese and 30% in matured cheese, resulting in little added value and differentiation, The European Commission has published a report on the European Union’s research and development policy in the field of education. As a conclusion, it is estimated that at the end of 2024 the production was approximately 130,000 tons of cheese nationally and at the regional level of the area under study, around 5,000 tons. The forms of production are low, intermediate and high technologies. The marketing chains are indirect and with few intermediaries. The consumption of cheeses is fresh, matured, pre-cooked and cooked, being the factors incident, consumption habits, technology, price, quality, variety, marketing channels and marketing strategies. Finally, proposals for agribusiness in the northern region of Lima are planned so that cheese in the next 10 years will be affordable, accessible and profitable.
Copyright (c) 2025 Jorge Hilario Guzman Bautista, Avila Karin Segura Huamán, Jorge Bautista Núñez https://creativecommons.org/licenses/by/4.0
Application of Occupational Health and Safety in production and service companies: Literature review
The objective of this article was to present the results of a systematic review of the scientific literature to find information in both international and national scientific articles to discover the effects of the application of Occupational Safety and Health in production and production companies. To achieve this objective, a systematic and organized investigation of studies related to the purpose of the article was carried out, in which the benefit of implementing OSH in companies is evidenced, knowing the difficulties or challenges to carry out its execution, its relation to job performance and the problems it presents with SMEs. For which the following question was raised: What are the effects of the application of OSH in production and service companies? For this, a search and selection of studies with their respective legibility was initiated; in other words, an analysis with systematic procedures for the recognition, selection and evaluation of all important research. The contribution of the research is aimed at highlighting the benefits of being able to implement OSH and its direct relationship with the increase in productivity in companies.
Copyright (c) 2025 Ronaldo Jair Vasquez Poma https://creativecommons.org/licenses/by/4.0
Lean Manufacturing Success Stories in SMEs: A Literature Review
The present literature review article (ARL) had the title "Successful cases of Lean Manufacturing in SMEs: A review of the literature" where objectives were raised such as: to identify the successful cases of Lean Manufacturing in SMEs during the 2018 period – 2023, followed by the specific objectives: identify the main limitations in the application of Lean Manufacturing in SMEs during the period 2018 – 2023 and identify the most common tools in the application of Lean Manufacturing in SMEs during the period 2018 – 2023. Given this, the main results indicate that companies in the SME sector have multiple success stories where they show significant increases in productivity, improvements in their time and management of their resources, despite presenting application limitations such as lack of access to financing, lack of commitment from management and employees and the lack of adaptability of all involved. Finally, the research concludes that SMEs benefit greatly from the application of lean manufacturing tools and it can be seen in the thousands of success stories around the world.
Copyright (c) 2024 Rosa Josselyn Torres Morales https://creativecommons.org/licenses/by/4.0
5s methodology and its importance in the textile sector
The objective of this article was to analyze the results of the scientific literature provided by various studies to provide findings on the effects of applying the 5s methodology in the textile industries. In order to achieve this objective, a systematic and structured search of the documents related to the problem of this study was carried out, where the obstacles that currently influence the textile sector to optimize the level of efficiency and effectiveness with the application of the 5s method, in addition to demonstrating the most common situations related to this tool and the results of its application. With this purpose we formulate the following: What are the effects of applying the 5s methodology in companies in the textile sector? In order to respond, a search for articles was carried out, selection according to the established criteria, for analysis. Finally, this study focuses on identifying strategic actions as a process to promote productivity improvement in the management of the textile industry
Copyright (c) 2024 Bryan José Francisco Quilcate Martínez https://creativecommons.org/licenses/by/4.0
Implementation of a mobile application with Machine Learning applying the new CSKT methodology for the recruitment process of personnel in the private sector
This paper evaluates a Machine Learning model developed using the CSKT methodology to improve pension allocation in engineering projects. It addresses the challenges in adopting such models by following a structured approach from understanding the business model to presenting it. The initial decision tree model training phase yields an F1-Score of 0.699825, indicating balanced precision and recall. Individual precision is 0.650974, and recall is 0.756603, demonstrating accurate prediction of positive outcomes. The ROC curve has a value of 0.739770, assessing the discriminatory ability of the model. The results include defining the model parameters, creating a decision tree, and performing initial simulations. The conclusion highlights CSKT's effectiveness in pension allocation and the stresses of ongoing client collaboration in engineering projects. The numerical results highlight the model's contribution to improving pension allocation processes in engineering projects.
Copyright (c) 2024 José A. Ogosi Auqui https://creativecommons.org/licenses/by/4.0