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1
artículo
Publicado 2025
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Esta investigación se centra en la implementación de la reingeniería del proceso de medición de los Stock Keeping Unit (SKU) importados por un centro de distribución de una empresa especializada en la venta de productos para la mejora del hogar y materiales de construcción. Para identificar los factores que influyen en el proceso y optimizarlo, se realizó un estudio de tiempos y movimientos del proceso utilizando la herramienta conocida como diagrama de espagueti. Como resultado, se incrementó la productividad y disminuyeron los tiempos muertos, lo que permitió medir en menos tiempo el universo de SKU. El estudio también condujo a la configuración del sistema utilizando datos correctos, lo que facilitó la operación dentro del almacén.
2
objeto de conferencia
Medical equipment plays a very important role in the care of people, for this they must be designed with the functionality to ensure the operation and performance, these teams are characterized by being integrated by hardware and software, through which govern all resources, one of the requirements that are asked to these teams, is the reliability, understanding as perform certain tasks when necessary, to ensure the continuity of the patient's life. In this paper we recommend how to use a real-time operating system, based on the FreeRTOS distribution in its version to be used in embedded devices, the results are related to how to be used with which we can describe the advantages we can achieve using these systems when we are in the design stage of medical equipment, the method presented can be scaled and applied depending on the requirements of medical equipment, which can be used in emb...
3
artículo
Publicado 2024
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This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.S Turbo. The system enhances operational efficiency through rigorous data preprocessing and specialized fine-tuning, validated on a simulated mining dataset. Results show significant improvements: data extraction time reduced by 94 % and visualization time by 97.6%. These improvements indicate a transformation in efficiency, usability, and user satisfaction. Despite limitations in data variability and complexity, this pioneering approach highlights the potential of NLP and machine learning in modernizing the mining industry and supporting data-driven decision-making.
4
artículo
Publicado 2024
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This study investigates the integration of Total Productive Maintenance (TPM) and Lean methodologies within the Peruvian agricultural sector, focusing on asparagus packing operations. A model was developed to address critical challenges of low productivity, employing autonomous and preventive maintenance strategies to reduce unplanned downtime and the implementation of Standardized Work to eliminate inefficiencies. A pilot project was implemented using a sample of 72.98 kg of processed asparagus, using processing times from each activity as input data for the model’s validation. The Kolmogorov-Smirnov and Chi-square statistical tests were applied to establish time distributions. The proposed model, validated through Arena software, demonstrated a 21% increase in packing productivity, a 36 kg/man-hour improvement in labor productivity, and a 26.35% enhancement in machinery availability....
5
tesis de grado
Publicado 2025
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This study evaluates the application of Total Productive Maintenance (TPM) and Lean methodologies in the Peruvian agricultural sector, focusing on asparagus packing operations. To this end, it develops an innovative model with the objective of increasing the productivity of asparagus packing, one of the main problems of the Peruvian agricultural industry. Through the application of an autonomous and preventive maintenance strategy, it seeks to eliminate untimely stops in the asparagus processing line. Meanwhile, with the implementation of standardized work, the aim is to eliminate activities that do not add value and downtime. A pilot project was implemented with a sample of 72.98 kg of processed asparagus, using the processing times of each activity as input data for the validation model, using Kolmogorov- Smirnov and Chi-square statistical tests to define the distributions of the times...
6
artículo
Publicado 2022
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The objective of this research was to determine the influence of the automated configuration system on the change management process of the IP area of a mobile operator during the COVID-19 pandemic. A quantitative, experimental, applied, explanatory approach was used on a population and sample consisting of change management efforts between the years 2019 and 2020. The failure rate of change requests decreased from 74.95% in 2019 to 59.86% in 2020 and the success rate of change requests increased from 25.05% to 40.14% also, the system is resilient due to the fact that the success rate increased by 16.30%. It is therefore concluded that the automated system of configurations has a positive influence on the management process with a success rate increase of 60.28% and a failure rate decrease of 20.14%.
7
artículo
Publicado 2020
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In this study, an analysis of pre-trial proceedings is made, given the new scenario of programming virtual hearings and the subsequent procedural burden that will arise once the state of emergency is lifted. Moreover, operational aspects are raised for the correct application of this procedural institution and statistical data on its use in specialized courts in different parts of the country are evaluated, in order to reevaluate the advantages of pre-trial proceedings as a tool for procedural simplification that leads to an expeditious, effective and timely resolution.
8
artículo
Publicado 2008
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The aim of this thesis is hydro-geological characterized a Santa Rosa Mining District (SMD). Digital Elevation Model (DEM), geological cartography, hydrogeological, mine data and different thematic maps, generated with Geographical Information Systems (GIS) and numerical models were used to characterize the hydrology of SMD. In several field campaigns were cartographies and inventoried 270 water point, four open pit and two types of metallurgical waste in an area of 878 Ha according to the results two aquifers wear delimited: Formation Chimú fractured aquifer and formation Inca Chulec karstic aquifer. Geological cartography and lineament maps show that the study area is cut by several faults and fractures in four main directions Open pit and fracture area controlled the aquifers recharge. Acid mine drainage (AMD) were observe in two open pit (Sacalla with pH=3.0 and Seductora with pH=3....
9
objeto de conferencia
The growth of cloud application services delivered through data centers with varying traffic demands unveils limitations of traditional load balancing methods. Aiming to attend evolving scenarios and improve the overall network performance, this paper proposes a load balancing method based on an Artificial Neural Network (ANN) in the context of Knowledge-Defined Networking (KDN). KDN seeks to leverage Artificial Intelligence (AI) techniques for the control and operation of computer networks. KDN extends Software-Defined Networking (SDN) with advanced telemetry and network analytics introducing a so-called Knowledge Plane. The ANN is capable of predicting the network performance according to traffic parameters paths. The method includes training the ANN model to choose the path with least load. The experimental results show that the performance of the KDN-based data center has been greatl...
10
artículo
Publicado 2022
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This study shows the development of operational reliability engineering for the economic and sustainable growth of companies that wish to maintain, grow, improve and develop their own dynamic environment. In order to propose a strategy to achieve business objectives, different competencies will be explained, including business development, economic growth as an integrating concept, business culture, and knowledge and innovation management. Thus, it is intended that entrepreneurs identify the need to train and be more competitive in terms of (1) efficiency and effectiveness of processes and (2) departments and activities of the company, so that it is aligned in terms of objectives and goals.
11
artículo
Publicado 2025
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This study addresses rising sustainability demands in the agro-industry by examining how data-driven approaches can reduce inefficiencies, waste, and poor resource use in spinach production. It investigates the impact of Total Productive Maintenance (TPM), First-In–First-Out (FIFO), process standardization, and circular economy practices—enhanced through digital transformation—on operational efficiency in a Peruvian agro-industrial firm. An exploratory case study was conducted using pilot implementations, direct observation, and quantitative analysis. Statistical tools, including Holt–Winters forecasting, were applied to assess the effectiveness of the interventions. Digital technologies supported data collection, traceability, and decision-making. An exploratory case study was conducted using pilot implementations, direct observation, and quantitative analysis. The integration o...
12
artículo
In this article, we will discuss the process that led to the ending of MINUSMA, the stabilisation peace operation carried out by the UN in Mali between 2013 and 2023, and we will make a brief conjunctural analysis of this moment of withdrawal, considering its consequences both in terms of the political situation in the country and the abuses and human rights violations suffered by the civilian population, bearing in mind that stability and the protection of civilians were among the mission’s main objectives when it was deployed. Methodologically, the work is based on a qualitative analysis of data on MINUSMA’s performance in Mali throughout its mandate, and on the political situation in the country today, with a focus on the occurrence of violent episodes and fatalities, possible advances related to the political process of conflict resolution and the protection of civilians. The mai...
13
artículo
Publicado 2025
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This study evaluates the implementation of the digital platform Safety Culture (iAuditor) to optimize quality assurance and control (QA/QC) processes in multifamily construction projects, reducing time requirements and errors associated with traditional methods. Using a quasi-experimental approach, manual processes (pen-and-paper) were compared with real-time digital workflows, demonstrating that the tool eliminates redundant steps such as transcriptions and scanning, saving up to 60 minutes per inspection. Results showed significant improvements in efficiency, accuracy, and data accessibility, though challenges remain in externally coordinated activities. The proposed solution included staff training and customized digital form templates, highlighting its potential as a replicable model for the construction industry.
14
artículo
Publicado 2025
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This research evaluated the impact of Operations Research in the optimization of logistics processes in companies in Benguela (Angola). Using a quantitative approach, representative companies from the logistics sector were selected and surveys and record analysis were applied to characterize their processes and detect areas for improvement. Mathematical models of linear programming, simulation and queuing theory were developed to optimize aspects such as route planning, inventory management and resource allocation, calibrated with real data. The results showed that the implementation of these solutions led to significant improvements in logistics efficiency, including reductions in transportation and storage costs, decreased delivery times, and increased product availability. In addition, opportunities were identified to minimize environmental impact through route optimization and cargo ...
15
artículo
Publicado 2025
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This research evaluated the impact of Operations Research in the optimization of logistics processes in companies in Benguela (Angola). Using a quantitative approach, representative companies from the logistics sector were selected and surveys and record analysis were applied to characterize their processes and detect areas for improvement. Mathematical models of linear programming, simulation and queuing theory were developed to optimize aspects such as route planning, inventory management and resource allocation, calibrated with real data. The results showed that the implementation of these solutions led to significant improvements in logistics efficiency, including reductions in transportation and storage costs, decreased delivery times, and increased product availability. In addition, opportunities were identified to minimize environmental impact through route optimization and cargo ...
16
artículo
Publicado 2010
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Determining the processes capabilities in companies that develop software is an issue that has gained interest because through them they can be classifi ed at a certain level of capability or maturity, depending on the model used. In addition, some companies have a set of established practices and working methods, in the case of Peru is often based on Rational Unifi ed Process (RUP). This paper presents the theoretical evaluation of the processes capabilities in the operation category of software processes model Moprosoft under the assumption that an organization has properly implemented a set of minimal elements of RUP.
17
artículo
Publicado 2010
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Determining the processes capabilities in companies that develop software is an issue that has gained interest because through them they can be classifi ed at a certain level of capability or maturity, depending on the model used. In addition, some companies have a set of established practices and working methods, in the case of Peru is often based on Rational Unifi ed Process (RUP). This paper presents the theoretical evaluation of the processes capabilities in the operation category of software processes model Moprosoft under the assumption that an organization has properly implemented a set of minimal elements of RUP.
18
artículo
GAMMA SCANNING TECHNIQUE FOR DIAGNOSIS IN OPERATION, OF PETROLEUM AND NATURAL GAS REFINING EQUIPMENT
Publicado 2020
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Radioisotope techniques are highly useful tools to investigate variety of problems in oil & gas refining and petrochemical industry. Major techniques and applications are in routine service to industry of many countries. Gamma-ray scanning, often referred to as “column scanning”, is a convenient, cost effective, fast, efficient and non-intrusive technique to examine inner details of a process column or a reaction vessel, while it is in operation. Column scanning allows an engineer in petroleum refineries, gas processing installations and chemical plants, to study tray or packing hydraulics inside a distillation column at any set of on-line condition. It provides essential data to optimize the performance of columns, extend column run times, trackthe performance-deteriorating effects of fouling and solids deposition, and identify maintenance requirements well in advance of schedul...
19
artículo
GAMMA SCANNING TECHNIQUE FOR DIAGNOSIS IN OPERATION, OF PETROLEUM AND NATURAL GAS REFINING EQUIPMENT
Publicado 2020
Enlace
Enlace
Radioisotope techniques are highly useful tools to investigate variety of problems in oil & gas refining and petrochemical industry. Major techniques and applications are in routine service to industry of many countries. Gamma-ray scanning, often referred to as “column scanning”, is a convenient, cost effective, fast, efficient and non-intrusive technique to examine inner details of a process column or a reaction vessel, while it is in operation. Column scanning allows an engineer in petroleum refineries, gas processing installations and chemical plants, to study tray or packing hydraulics inside a distillation column at any set of on-line condition. It provides essential data to optimize the performance of columns, extend column run times, trackthe performance-deteriorating effects of fouling and solids deposition, and identify maintenance requirements well in advance of schedul...
20
objeto de conferencia
Publicado 2012
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Conferencia realizado del 12 al 14 de setiembre en Lima, Peru del 2012 en el marco del 15º Simposio Internacional de Tesis y Disertaciones Electrónicas (ETD 2012). Evento aupiciado por la Universidad Nacional Mayor de San Marcos (UNMSM) y la Universidad Peruana de Ciencias Aplicadas (UPC).
