• Improving Earthwork Planning with the implementation of BIM and UAV: Case study applied in the surroundings of the Chancay mega-port - Peru - 2024

  Apaclla, Leonardo; Pardo, Nicolás; Alvarez, Goyo; Jaen, Alvaro; Rodríguez, Sandra (Avestia Publishing, 2025-01-01)

  The lack of necessary information and the lack of accuracy presented in this, causes direct damage to the planning process of a construction project, due to problems such as cost overruns or delays, caused by the incorrect distribution of resources allocated for the completion of activities. In earthmoving work, the deficient collection and processing of information is an index of the bad procedure that a company has and causes the activities to present additional costs due to rework, dissatisfaction on the part of the client or delays in the delivery within the predetermined deadlines. That is why this article proposes the implementation of unmanned aerial vehicles(UAV), in conjunction with BIM software, as tools for the collection, processing and sharing of information. This will be more complete and will allow a programming based on qualitative and quantitative data in a precise, fast and understandable way for those interested in the execution process of a construction project, which, being located in an area of high demand due to its proximity to the mega port of Chancay, will allow the earthwork execution procedure to be carried out in an efficient and fast way, avoiding harming the construction company.
• Procedure to Reduce Evaluation Time in the Selection of Professional Staff in Medium-Sized Multi-Family Construction Companies Using the AHP Method

  Huamani, Diana Conislla; Estrada, Jorge Francisco Murillo; Román, Karem Asthrid Ulloa (Avestia Publishing, 2025-01-01)

  In the construction sector, the selection of personnel for the technical office faces challenges such as the lack of structure and subjectivity in the evaluation criteria, which makes it difficult to quickly identify the most suitable candidates. This article proposes an optimized procedure to address this problem through the use of the AHP multicriteria method and Expert Choice software. The process involves applying AHP to establish priorities and evaluate candidates based on previously defined objective criteria. Through interviews and surveys, deficiencies in the traditional approach were identified, such as the lack of planning and the reliance on subjective judgments. The proposal demonstrates how the application of AHP reduces the evaluation time by 70%, improving transparency, traceability, and reliability of the process, contributing to the formation of technical teams more aligned with the specific requirements of the projects.

  Acceso abierto
• Analysis of the Interaction between Passengers and Buses at a Congested Bus Stop through Simulation to Reduce Congestion Rate

  Nieto, Ronaldo Cuchilla; Cansaya, Ana Cristina Llapa; Lizano, Aldo Rafael Bravo (Avestia Publishing, 2025-01-01)

  This article addresses the issue of user congestion at a high-demand public transportation stop in Lima, caused by prolonged waiting times and the perceived low quality of service. Micro simulation was conducted using VISSIM software to model ideal scenarios based on empirical data. The analysis considered key indicators such as service demand, congestion levels, and operational frequency of transportation lines. The study simulated the anticipated behavior of users who, upon having access to real-time bus arrival information, arrive at the stop just in time, thereby reducing waiting times. The results showed a 12.22% reduction in user congestion during peak hours and a more uniform redistribution of service demand during the same period. This optimization improved passenger flow and user experience without the need to alter the current bus frequencies, validating the economic and operational feasibility of the proposal. The research highlights the use of micro-simulation as an effective tool for designing sustainable solutions in urban environments, contributing to improved mobility and perceived reliability of public transportation.

  Acceso abierto
• Seismic Vulnerability Assessment in Non-Engineered Dwellings Using RVS Methods and Its Validation with a Quantitative Approach

  Adriano, Eloim; Albornoz, Elvis; Rivas, Gram (Avestia Publishing, 2025-01-01)

  This research presents an analysis of seismic vulnerability in dwellings built without engineering criteria, aiming to determine their levels of vulnerability. Rapid Visual Screening (RVS) methods, such as those proposed by FEMA P-154 and developed by INDECI, were employed to assess the vulnerability of 20 dwellings. Additionally, a quantitative validation was conducted on two of thesed wellings using parameters like lateral drift to complement the qualitative analysis. The results obtained through FEMA P-154 indicate that 50% of the dwellings exhibit a "Very High" level of vulnerability, 45% a "High" level, and 5% a "Low" level. Meanwhile, the INDECI method classifies 45% of the dwellings as having "Very High" vulnerability and 55% as "High." The quantitative evaluation of lateral drift showed that Dwelling 1 and Dwelling 2 experienced excessive drift values of 0.006979 and 0.004624, respectively, classifying both as "vulnerable" to seismic events. When comparing the qualitative methods (FEMA P-154 and INDECI) with the quantitative method (lateral drift), slight discrepancies were identified in the assigned vulnerability levels, although they maintained a close correlation. While the qualitative methods indicated high and very high vulnerability, the quantitative method classified them as "Vulnerable." Despite these differences, the results converge in highlighting the high susceptibility of the analyzed dwellings to seismic events. These findings emphasize the need to prioritize structural reinforcements to reduce seismic risk levels in the evaluated area.

  Acceso abierto
• Linguistic werk in streamed drag: A translational and translanguaging analysis

  Villanueva-Jordán, Iván (University of Western Sydneys, 2025-01-01)

  In this article, I analyze the inter- and intralingual relationships of two international editions of the Drag Race franchise, Drag Race España and Drag Race México. This study aims to discover how drag is indexicalized through translation and translanguaging strategies and how these strategies reconfigure the representation of local drag culture, subjectivities, and communities in relationship to globally owned formats distributed through streaming. The study follows a qualitative approach. Six episodes of each show were selected following non-probabilistic or purposive criteria. These criteria included (a) having episodes with different structures and (b) gathering dialogues from varied situations and most drag contestants. All the dialogues from the selected episodes were analyzed using a comparative approach. The rationale for this methodology is that contrasting mediatized transnational gendered representations can lead to a better understanding of how symbolic and cultural capital is inserted in television formats to favor their consumption through different distribution technologies, translation, and translanguaging strategies.
• An Approximation to the Function of Bilingual and Monolingual Editions of Quechua Literature in the Peruvian Publisher Pakarina Ediciones

  Arquíñigo, Diana Nicole Macuri; De La Torre, José Agustín Haya (National University of San Marcos. Faculty of Letters and Human Sciences, 2025-01-01)

  In the Peruvian Literature field, the Quechua literature publication is still a controversial topic because of the hegemonic and canonical Spanish publication predominance. Therefore, this study is focused on the analysis of Pakarina Ediciones’ function; this is a Peruvian publisher that works with indigenous and hegemonic languages. The first specific objective is analyzing the function of bilingual (Spanish-Quechua and Quechua-Spanish) editions, and the second specific objective is analyzing the function of monolingual (Quechua) editions of the referred publisher. Regarding this paradigm, this research discusses the position of a literature that comes from a non-hegemonic language which is also, as a consequence, a non-canonical language in the Peruvian literary system. For that, the publication process and the publisher’s motivations will be specially observed. In order to collect data, semi-structured interviews to the general publisher and authors-translators were made. They provided information about the perspectives and motivations of these participants. This data was analyzed through different theories that belong to the Literature and Translation fields. As findings suggest, it can be noted that both literary editions, bilingual (Spanish-Quechua and Quec-hua-Spanish) and monolingual (Quechua), of Pakarina Ediciones contribute to the development, diffusion, and revindication of Quechua literature; furthermore, they also amplify the hegemonic-canonical Peruvian literary circuit.
• Adopting Circularity, Sustainability in Warehousing 5.0: An Empirical Research in a Peruvian Mining Company

  Jara, Aldenir; Hinostroza, Luis; Tarazona, Inés; Coles, Phillip; Ramos, Edgar (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Warehousing 5.0, sustainability and circularity integration addresses critical environmental and operational challenges in resource-intensive sectors such as mining. This study focuses on a Peruvian mining company motivated by the need to optimize warehouse operations, minimize waste, and enhance resource efficiency. The objective is to identify and prioritize key criteria for sustainability and circularity using the Fuzzy Analytical Hierarchy Process (F-AHP) and expert input. The methodology involves a literature review to define dimensions—sustainability, circularity, and technology—followed by pairwise comparisons to determine their importance. Results show that sustainability is the most critical dimension, with workplace safety emerging as the top priority, complemented by circularity strategies like reverse logistics and material reuse. We highlight the importance of Warehousing 5.0 as a practical framework to align operational efficiency with environmental and social objectives, particularly in developing economies. The findings offer valuable insights for fostering resilience, competitiveness, and sustainable practices in mining supply chains and similar industries.
• Integrating Traceability, Resilience, Agility and Supply Chain 5.0: A Fuzzy AHP Approach

  Valer, Ariana; Yacila, Adrian; Velasquez, Jose; Pimentel, Victor; Ramos, Edgar (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  As a result of globalization, industries are more and more confronted with intricate supply chain challenges. Consequently, firms need to focus on obtaining trustworthy details about their products at every point in the supply chain and thus boosts their competitiveness. This article presents a supply chain model based on traceability, highlighting resilience, agility, integration, and incorporating these aspects into a cohesive Supply Chain 5.0 model. Using the fuzzy analytic hierarchy process (F-AHP), the research identifies the main factors that affect how well supply chain capabilities are developed and establishes the main criteria for the study. The unified traceability-based supply chain model offers a thorough method for enhancing information transparency, disruption responsiveness, and overall operational efficiency.
• How Do Resilient Supply Chain, Digital Supply Chain and Circular Supply Chain Impact Operational Performance?

  Coronado, Ivan; Jhusey, Gabriela; Coles, Phillip; Ramos, Edgar (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Supply chains are often disrupted by uncertain demand and unforeseen events, a challenge particularly acute in the food industry, which grapples with food waste and resource inefficiencies issues. This article examines resilient, digital, and circular supply chain strategies integration to bolster sustainability and boost operational performance within the food sector. Additionally, the article introduces a modeling approach that employs the Best-Worst Method (BWM) applied to multi-criteria decision-making. This study demonstrates how key performance criteria, such as minimizing food waste, optimizing resource utilization, and adapting to market changes, are systematically prioritized. This approach fosters sustainable practices and enhances operational performance within the agrifood supply chain context.
• Transforming Mining Machinery Distribution: Fuzzy AHP- Based Leagile and Resilience Strategies for Sustainable Supply Chains

  Pajuelo, Alejandra; Paz, Victor; Coles, Phillip; Ramos, Edgar (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Mining machine supply chain globalization has increased the need for enhanced supply chain resilience (SCR) strategies and supply chain sustainability (SCS) in the face of market volatility and environmental challenges. This study investigates how integrating Leagile (LA) approaches into a mining distribution company’s supply chain can address these demands. The primary methodology used is the Fuzzy Analytic Hierarchy Process (F-AHP), which applies expert judgment through pairwise comparisons to evaluate critical drivers across the dimensions of LA, SCR, and SCS. The results highlight the importance of the demand-side sensing approach of the LA strategy, SCS practices with waste management and SCR operations to achieve a balanced and efficient supply chain. Conclusively, this research provides practical insights into leveraging the LA framework to improve adaptability, operational efficiency with SCR, and long term SCS in distribution companies.
• Fuzzy System Theory to Enhance Agility and Resilience in Agri-Food Supply Chains: A Pathway from Supply Chain 4.0 to 5.0

  Perez, Xiomara; Sulca, Marisol; Ramos, Edgar; Tarazona, Inés; Pimentel, Victor (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  The agri-food supply chain faces continuous challenges due to global disruptions, such as natural disasters, market volatility, and rapid technological advancements. These disruptions highlight the vulnerabilities in food production and distribution, emphasizing the need for more resilient and agile supply chain models. The transition from Supply Chain 4.0, driven by automation and technological efficiency, to Supply Chain 5.0, which incorporates human-centric approaches, offers new opportunities to enhance agility and resilience in the agrifood sector. By employing a fuzzy AHP model, this study prioritizes key factors influencing agility and resilience in the agri-food supply chain, validating its consistency through expert surveys. The study evaluates resilience, agility, and the transition from SC4.0 to SC5.0, identifying Risk Management Culture, Demand Management and Enhanced Information Exchange as the most effective strategies, respectively. Finally, this document highlights that by prioritizing demand management and risk culture management, organizations can not only anticipate disruptions but also adapt swiftly, ensuring a transformative shift from technology-centered efficiency to a resilient, human-centric supply chain.
• Integrating Supply Chain 5.0 Tools to Establish a Leagile Supply Chain: An Empirical Research in Food Supply Chain

  Gutierrez, Miguel; Lopez, Zully; Coles, Phillip; Ramos, Edgar (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Companies integrate disruptive technological innovations to strengthen the adaptability of their supply chains in constantly transforming business ecosystems. However, the underlying principles through which these technologies influence supply chain agility remain underexplored. Through a literature review, this article identifies tools of Supply chain 5.0 and factors that drive the adoption of a modern Leagile system. The Fuzzy Hierarchical Analysis Process (FAHP) methodology was applied to select the Supply chain 5.0 criteria with the greatest potential for adaptability, resilience, and productivity, considering the specific characteristics and needs of the sector, and to define the most relevant criteria to ensure a Leagile supply chain. The findings confirm that Cyber Physical System Integration, Multi-scale simulation with digital twins, and hyperpersonalization with Artificial Intelligence are the tools that stand out in this context. Also, variability in the products, Volatile demand and Involvement Supplier the factors that most influence the adoption of the Leagile system. The results provide essential guidelines to facilitate the efficient adoption of Supply chain 5.0 tools, considering the critical factors for Leagile supply chain management.
• Towards Human-Centric Warehousing 5.0 to Improve Sustainable Operations: An AHP Approach to Evaluate Adoption Criteria

  Fernandez, Alinet; Cuadros, Amely; Coles, Phillip; Ramos, Edgar; Hurtado, Ángel (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  This article aims to identify the key criteria influencing the impact of Warehousing 5.0 on sustainability and operational efficiency, focusing on a human-centered approach within logistics through the application of the Analytical Hierarchy Process (AHP). Warehousing 5.0 represents a paradigm shift, integrating advanced automation with human collaboration to enhance ergonomics, efficiency, and environmental responsibility. Historically centered on storage and distribution, warehouses are increasingly integrating advanced technology that enhances operations while emphasizing employee welfare and safety. To accomplish this, we formulated and organized essential adoption criteria within a comprehensive framework. An examination of the literature underscores the enhancement of precision, variety, and adaptability through intelligent automation and collaborative robots while simultaneously alleviating physical and cognitive burdens on workers. We utilized the AHP methodology to rank the most impactful criteria, recognizing Intelligent Automation (37%) and Energy Efficiency (46%) as primary priorities. The results show how important it is to balance efficiency, sustainability, and employee well-being, connecting warehouse management with the ideas behind Industry 5.0 and new logistics technologies.
• The Role of Social Media in the Positioning Strategy of the Dark Kitchens Offer During the COVID-19 Crisis in Peru

  Chavez, Mary C.; Arbaiza, Francisco (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  In the context of COVID-19, social networks became particularly relevant because of the confinement. The gastronomic sector was also covered by them, flourishing many initiatives such as dark kitchens, a formula of food service brands only serving food in containers equipped as rental kitchens, favored by the restrictions imposed during the Pandemic. The objective of this paper is to explore the Social Media approach used by dark kitchen brands in the context of COVID-19 in Peru from the perspective of their consumers. In this research it was revealed that the role of social networks is diverse throughout the decision to purchase food from dark kitchens and that there are different factors that influence the decision, selection, and purchase. Among the most relevant findings it can be highlighted that issues such as price or features and benefits offers are relegated by qualitative values such as trust and endorsement from peers and influencers.
• The Attitude of Peruvian Millennials Towards the Political Stance of Fast-Food Brands Regarding the Political Crisis of November 2020

  Yábar, Katherine; Arbaiza, Francisco (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Faced with the presidential vacancy of Martin Vizcarra, a scenario of political instability was generated that prompted Peruvians to participate in digital platforms to show their political position. In this context, this study compares the attitudes of Peruvian millennials towards the political stance of ten fast food brands in the face of the political crisis of November 2020. Hence, brand stances were classified into four: indifferent, mute, neutral and activist. A qualitative methodology was adopted and semi-structured interviews were conducted with 20 Peruvians, which revealed that it was important for brands to assume a position in the face of a crisis like the one in 2020. In the analysis, it was observed that there is no difference between a neutral or activist brand, as long as they express an opinion. The postures of the silent or indifferent brands did not significantly influence the consumption pattern of the participants.
• Travel App Trends: What Drives Intention to Reuse Mobile Applications? A Perspective from Latin America

  Gonzales-Ceron, Shachy; Bermejo-Lara, Alexandra; Munayco-Abanto, Lucia (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  The rise of travel services available through mobile apps has greatly benefited many companies economically. However, even though many people download these apps, few use them after 30 days. This study aims to explain how time saving, convenience, and service quality impact the decision to keep using travel apps. It looks at attitudes and satisfaction as important factors. The study surveyed 451 people who used a travel app in the past year. The results indicate that convenience motivation is a key predictor of attitude. Also, attitude is a major factor in determining whether people will continue to use a travel app. This research adds to the existing knowledge about how technology is used in the tourism industry and helps us understand why people purchase through travel apps.
• Intelligent Traffic Lights System Against Vehicular Congestion in Lima Using Artificial Intelligence

  Cardenas, Juan Alonso; Cardenas, Juan Alonso; Mansilla-Lopez, Juan (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Vehicular congestion derives from the obstruction of the passage for cars circulating or moving on the roads. In the last five years, Lima has seen an increase in traffic and congestion. One of the solutions to this problem is the improvement of traffic light systems, but in Peru, there have been no studies that address these proposals. For this reason, this paper proposes the design of an intelligent traffic light system using computer vision and artificial intelligence concepts to reduce traffic congestion and its consequences at intersections in the streets of Lima. For the development of the article, an analysis of solutions, technologies and methods used to reduce congestion was carried out. In addition, the design of our proposed solution was carried out, presenting three architecture designs: architecture of components that would make up the system, architecture of integration with Cloud services for our system and an architecture of system layers. Also, the system of detection and time allocation for traffic lights is presented, validating its operation in a test environment, obtaining satisfactory results, such as 85.90% for accuracy, 59.40% for recall and 64.80% of mAP in the detection of the model and a time allocation related to the vehicular flow for the streets that were studied.
• Model to Predict the Probability of a Criminal Event in Peru Using Machine Learning Algorithms

  Chaucas, Manuel; Espinoza, Carlos; Castillo-Sequera, Jose Luis; Wong, Lenis (Institute of Electrical and Electronics Engineers Inc., 2025-01-01)

  Insecurity in the Callao (province of Peru) region has intensified in recent years, despite the presence of strategically distributed police stations. This issue is influenced by a lack of integration of advanced technologies in crime prevention, limiting the effectiveness of security strategies. To address this situation, the present study proposes a predictive model based on Machine Learning algorithms applied to the crime context of Callao-Peru. The methodology includes three main stages: Analysis of relevant features, model design, and results validation. In the analysis, eight variables (F1 to F8) associated with criminal patterns were evaluated, while the validation phase compared the performance of the algorithms in terms of accuracy (ACC), precision, F1-score, recall, and AUC. The results show that the Decision Tree algorithm had the highest overall accuracy, achieving an ACC of 0.97, followed by Gradient Boosting (ACC = 0.93) and Random Forest (ACC = 0.92), while K-Nearest Neighbors had the lowest performance (ACC = 0.72). These findings position the Decision Tree as the most effective tool for predicting high-risk crime areas in Callao-Peru.
• Hydrogeological Modeling in the Archaeological Site Muyu Muyu—Chincheros—Apurímac

  Mogrovejo Gutiérrez, Rubén Esaú; Sarango Julca, Douglas Donal; Contreras Gutiérrez, Efraín Jhiaromir; Gutiérrez, Daniel Minaya; Miranda Gutiérrez, Luis Fernando (Springer Science and Business Media Deutschland GmbH, 2025-01-01)

  Peru is known for its archaeological wealth, ranging from the worldfamous ruins of Machu Picchu to numerous lesser-known but equally significant sites. One such site is the Muyu Muyu archaeological center, located in the district of Uranmarca, Apurímac. Despite its historical and cultural value, Muyu Muyu has not received the attention and care it deserves, leading to conservation issues that threaten its integrity. Among the main challenges this archaeological site faces is the slope inclination caused by soil pressure due to the saturation of the surrounding terrain. The accumulation of water in the soil can lead to an increase in pore pressure, reducing slope stability and increasing the risk of landslides. Solving this problem requires a multidisciplinary approach combining civil engineering, soil mechanics, and hydrogeology. Therefore, the installation of subdrains has been proposed, where 56.7 L per second (l/s) were obtained at the Muyu Muyu site. For this reason, the installation of crown channels is recommended as a preventive and corrective measure to mitigate the negative effects of soil saturation. The subdrains allowed for proper groundwater drainage, thus reducing pore pressure, and improving slope stability. In turn, the crown channels will collect and divert surface water, preventing it from infiltrating the soil and contributing to its saturation.
• Forecasting and inventory model with Vertex (IA) to increase textile demand fulfillment

  Magallanes-Rodriguez, Alejandro Ruben; Arias-Verde, Piero Alexander; Maradiegue-Tuesta, Fernando; Pinzon-Hoyos, Fabiola (Association for Computing Machinery, Inc, 2025-04-28)

  Textile companies require engineering models that allow them to improve demand planning to reduce inventory breakage. The textile sector represents 8% of the participation of the manufacturing sector, which represents 12.5% of GDP, with the demand for textile garments standing out. Likewise, the article contributes to companies dedicated to the textile sector by implementing engineering and technology tools that improve logistics processes to avoid the risk of inventory breakage and non-compliance with textile demand. The research work was developed in a textile factory incorporating standardized work, forecast model, inventory model and Vertex Artificial Intelligence to achieve the reduction of root causes (non-compliance with the dispatch of raw materials, errors in the registration of inventory and its low levels of inputs). The results of the diagnosis were obtained by the implementation of qualitative (VSM) and quantitative tools (Control limit) of which 53%, 21% and 26% represented. This is expected to demonstrate the viability of engineering tools complemented by predictive technologies to improve the company’s logistics process. The proposed model will be validated by the systematic review of the literature of cases related to inventory and predictive tools supported by AI with the aim of being referenced in the expected goals such as the increase in stock.

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