Maestría en Ingeniería Industrial

URI permanente para esta colecciónhttp://hdl.handle.net/11349/19

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  • Ítem
    Movilidad urbana sostenible en bogotá: integración de its, políticas públicas y modelado predictivo basado en aprendizaje automático con enfoque en eficiencia y equidad
    (Universidad Distrital Francisco José de Caldas) Lugo Garzon, Ivonne Katherine; Ferro Escobar, Roberto; Ferro Escobar, Roberto [0000-0002-8978-538X]
    Bogotá, like many major cities worldwide, faces significant challenges in urban mobility, including traffic congestion, air pollution, and inefficiencies in public transportation systems. This research addresses these issues through the development of an artificial intelligence–based simulation model aimed at improving sustainability and efficiency. Using a high-demand vehicular zone as the analytical unit, the study integrates three core dimensions: the implementation of sustainable mobility policies, the optimization of route planning, and the promotion of alternative transportation modes. Furthermore, it evaluates the potential of emerging technologies such as Intelligent Transportation Systems (ITS) and Mobility as a Service (MaaS) to transform urban transport management. The findings offer technically feasible strategies tailored to the local context, contributing to the development of a more efficient, equitable, and sustainable urban mobility system in Bogotá.
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    Modelo de Inteligencia de Negocio para la gestión del presupuesto OPEX de mantenimiento preventivo en el sector de biocombustibles
    (Universidad Distrital Francisco José De Caldas) Gil Acevedo , Edward Sebastian; Rodriguez Rojas , Luz Andrea; Contreras Bravo , Leonardo Emiro; Rodriguez Rojas, Luz Andrea [0000-0003-0312-1177]; Contreras Bravo, Leonardo Emiro [0000-0003-4625-8835]
    This research project highlights the strategic importance of Business Intelligence (BI) in industrial environments, focusing on the management of the preventive maintenance budget as a key component to ensure operational continuity in organizations that rely on their assets to produce goods or services. The study develops a comprehensive model for building and monitoring the preventive maintenance OPEX budget, addressing the specific needs of large industries that manage a high number of assets and large volumes of data, in a context where the application of BI for budgeting purposes in preventive maintenance remains limited.
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    Método para identificar la cantidad necesaria de personal en oficinas de atención al cliente
    (Universidad Distrital Francisco José de Caldas) Cepeda Cepeda, Wilson Alfonso; Figueroa Garcia, Juan Carlos; Figueroa Garcia, Juan Carlos [0000-0001-5544-5937]; García Barreto, Germán Alberto (Catalogador)
    The study presents a method for identifying the required number of personnel in customer service offices, ensuring regulatory compliance with a service level equal to or greater than 80%. An ex post facto approach is employed, supported by non-parametric statistical analyses and classification models such as decision trees. The dynamic adjustment of personnel distribution promoting morning shift coverage to balance workload, ensuring appropriate service times, improving absence control, and enhancing human resource management enables organizations to make strategic decisions that improve the customer experience throughout the service process. Consequently, the proposed method makes a significant contribution to organizational management and is applicable to similar contexts.
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    Caracterización de la función de éxito en proyectos, estudio de referentes en definición de éxito en proyectos para aplicación en el sector de desarrollo de software en colombia – periodo 2000 a 2025
    (Universidad Distrital Francisco Jose de Caldas) Castañeda Forero, Daniel Antonio; Real florez, Guillermo Enrrique
    This research addresses the persistent challenge of defining and measuring project success, traditionally framed within the “iron triangle” of scope, time, and cost, but increasingly understood as a multidimensional and holistic construct. Through a bibliometric review of over 500 sources and the systematization of critical success factors (CSFs), the study proposes a methodological framework that integrates strategic, operational, organizational, and sustainability dimensions to characterize the success function in projects. The research focuses on the technology sector (2000–2025), a strategic domain for digital transformation and economic growth. Predictive and classification models (logistic regression and random forest) were developed to establish correlations between project life cycle stages, organizational enablers, and materiality parameters, thereby reducing subjectivity in success evaluation. Findings reveal that success should not be conceived as a single indicator but as a multivariable function that is context- and time-sensitive, with implications for both managerial practice and knowledge advancement in project management.
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    Modelo hibrido para la programación de proyectos de construcción implementado programación dinámica y metodologías agiles
    (Universidad Distrital Francisco José de Caldas) Hernández Corredor, Luisa Fernanda; Lopez Santana, Eduyn Ramiro; Lopez Santana Eduyn Ramiro [0000-0001-7670-7756]
    This study presents a hybrid model for construction project scheduling that integrates the mathematical rigor of dynamic programming with the flexibility of agile methodologies. The approach aims to optimize execution times and resource allocation while enabling continuous adaptation to changing project conditions. By combining both methods, the model provides a more robust tool to address the inherent uncertainty of construction projects, enhancing planning, operational efficiency, and decision-making processes.
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    Modelo para la caracterización de la capacidad de adaptabilidad del talento humano en relación con la supervivencia organizacional – MODELO SAT
    (Universidad Distrital Francisco José de Caldas) Forero Zea, Leidy Daniela; Rodríguez Molano, José Ignacio
    Organizational adaptability is a key factor for business survival, especially in contexts of constant change and high competition. This research aimed to design and validate the SAT model (Survival, Adaptability, and Human Talent), focused on characterizing the human talent variables that impact organizational adaptability and, consequently, the ability of companies to survive in the market. The model centered on five main variables: knowledge and experience, creativity, attitude toward change, ability to establish interpersonal relationships, and learning ability. The development of the model included an exhaustive review of academic literature and previous psychometric models, which allowed for the structuring of a measurement tool consisting of psychometric tests and questionnaires specifically designed for the study context. Surveys were applied to a sample of 50 individuals, and the results were analyzed using statistical techniques, identifying significant correlations between the variables and adaptability capacity. In addition, the model was exposed and validated by a panel of experts, who confirmed its relevance and reliability as an organizational diagnostic tool. The findings showed that one of the variables that could drastically change the results is Knowledge and Experience. Thus, the model suggests that if the evaluator chooses to use it, adaptability will be measured in terms of Creativity, Ability to establish interpersonal relationships, and, lastly, attitude toward change. If the evaluator does not consider Knowledge and Experience a fundamental element in the organizational structure, then adaptability will be determined by Attitude toward change, creativity, learning ability, and the ability to establish interpersonal relationships. The research concludes that the SAT model offers a robust methodology for assessing human talent adaptability, providing a solid foundation for designing strategies that strengthen companies' ability to face challenges in a changing environment. This study contributes to the field of organizational management and offers recommendations for future research focused on the relationship between adaptability and business performance.
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    Modelo de perfilación y selección de personal aplicado al sector BPO en Colombia basado en técnicas de Predictive Analytics
    (Universidad Distrital Francisco José de Caldas) Díaz Fonseca, Diego Alejandro; Romero Villalobos, Oswaldo Alberto
    This paper presents a personnel profiling and selection model using data analysis (DA) tools with a predictive analytics (PA) approach. This approach, based on historical data, sought to determine the appropriate profile for hiring personnel, as well as their optimal assignment to roles. This paper presents a study for the development of a personnel profiling and selection model using computational intelligence techniques to improve the personnel selection process in companies in the Business Process Outsourcing (BPO) sector in Colombia, using DA tools with a PA approach, addressing the critical problem of early turnover. Through a mixed methodology based on qualitative and quantitative methods, key attributes such as age, number of dependents, and work experience were identified, which significantly impact employee retention. Machine learning algorithms were used, highlighting the support vector classification (SVC) algorithm, and techniques such as synthetic minority oversampling (SMOTE) to balance unbalanced classes in the dataset. The developed predictive model reduced early churn from an initial 62.82% to 4.11% during training and to 15.95% in the following month of implementation, equivalent to a 93.60% decrease in this indicator. This result translated into savings of more than $1 billion COP in costs associated with selection, training, and learning curves in one quarter and $750 million COP in the second month. SVC proved to be the most effective algorithm, with a specificity of 94.44% and a minimal incidence of false positives, reinforcing its usefulness in predicting and selecting suitable candidates. The results obtained validate the impact of predictive models on cost reduction and process improvement, and establish a basis for adapting this methodology to other industrial sectors. The study concludes that the integration of predictive techniques can transform human resource (HR) management, offering scalable and adaptive solutions for dynamic work environments.
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    Modelo multiobjetivo para la optimización del proceso productivo de sistemas de iniciación
    (Universidad Distrital Francisco José de Caldas) Bocanegra Florián , Daniela; López Santana, Eduyn Ramiro; López Santana, Eduyn Ramiro [0000-0001-7670-7756]
    The company dedicated in Colombia to manufacturing and marketing weapons, ammunition, explosives, and blasting accessories by constitutional mandate, presents the need to establish a multi-objective model to maximize profits, minimize production costs, and optimize the production and storage capacity of initiation systems (electrical and electronic detonators), thus complying with the operational plan established by the presidency and the monthly production schedules, also to guarantee the supply of the country's infrastructure, quarries, roads, and mining exploitation clients. In this regard, a multi-objective model is proposed for production optimization, focused on planning, which includes the supply chain for the detonator-type products manufactured there, taking into account the criteria of production, storage, capacity, and delivery of products to customers, in order to facilitate senior management decision-making to meet the sector's product needs in the national market. The model will help control variables involved in the process, such as demand, logistics, security, costs, inventory, and quality, and will also help comply with regulations issued by the Colombian Department of Arms, Ammunition, and Explosives Control (DCCA). This multi-objective model, applied to the production process of initiation systems (detonators), will be developed based on a mathematical model that will ensure resource optimization and cost minimization, creating value for customers.
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    Sistema de planeación de mantenimiento de racks basado en Inteligencia Colectiva. Caso empresa embotelladora de bebidas azucaradas.
    (Universidad Distrital Francisco José de Caldas) Castiblanco Hernández , Diego Alfredo; Álvarez Pomar, Lindsay
    Companies that sell consumer products often handle large amounts of inventory. This type of business has favored the development of maintenance systems that allow the proper use of spaces to guarantee daily operation. This work analyzes the case of a company that is dedicated to the sale and marketing of sugary drinks, which maintains its inventory in warehouses with vertical metal structures located in different departments of the Republic of Colombia. The good condition of these structures determines the availability of the maximum storage capacity of the warehouses and therefore, that the operation will be carried out without restrictions; However, despite the efforts to keep them always available, there is an intrinsic deterioration in the operation caused by externalities such as blows and overloads on the structure that can affect it in a wide range of possibilities from a minimal affectation to its coating, to leaving it out of operation. To carry out the diagnosis and determine the state of the structures, direct observation and specific knowledge about them is required, which would require that each warehouse have expert maintenance personnel specifically dedicated to that, which would mean a large investment since for the model of the company has a maintenance company that is in charge of these tasks for all the wineries in the country. This is where the question arises: ¿How to take advantage of the collective intelligence of the warehouse staff of a sugary beverage company to contribute to the diagnosis of preventive and corrective maintenance needs of metal storage structures so that they are more agile and precise? This work proposes a solution to this problem through condition-based maintenance planning, using a tool that takes advantage of the collective intelligence of the sugary beverage company, so that more agile diagnoses can be made to avoid progressive deterioration of the structures, without requiring a team dedicated to each warehouse. With the information collected on the damages and a heuristic with project tools for planning activities, the evaluation of the impact on time and cost of the implementation is carried out.
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    Herramienta tecnológica basada en el modelo RCM para el mantenimiento de vehículos de transporte masivo Euro 6
    (Universidad Distrital Francisco José de Caldas) Peña Mora, Henry Eduardo; Rodríguez Rojas , Luz Andrea; Quintero Montaña, Henry; Rodríguez Rojas, Luz Andrea [0000-0003-0312-1177]; Quintero Montaña,Henry [0000-0003-0752-6315]]
    Implementing a technological tool based on the RCM model in Bogotá’s mass transit system will improve the reliability and availability of the Euro VI vehicle fleet. In addition to contributing to the reduction of pollutant emissions, this tool will facilitate decision-making through a predictive maintenance approach, positively impacting service levels and reducing costs associated with vehicle downtime. As a pilot test, this approach is expected to serve as a reference for large-scale implementation in Bogotá’s transport system, bringing an innovative approach to the corporate maintenance strategy.
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    Scrum-EVM : un método de control para proyectos con metodología scrum basado en la adaptación de las medidas de rendimiento de EVM a los principios ágiles
    (Universidad Distrital Francisco José de Caldas) Hinestroza Obregón, Edilberto; Rueda Velasco, Feizar Javier; Rueda Velasco, Feizar Javier [0000-0002-0109-9204]
    The present work, entitled "Scrum-EVM: A control method for projects with the Scrum methodology based on the adaptation of Earned Value Management (EVM) performance measures to agile principles," has the general objective of developing a control method that integrates agile principles with the EVM method in Scrum project management. The underlying problem in this context lies in the lack of identification of project control methods using the Scrum methodology that are aligned with the principles of agile. This lack often translates into deficiencies during the project control phase by not assigning the necessary value to the most relevant performance measures in an agile environment. The proposal is to address this problem through a mixed methodology for model development, thus allowing a rigorous and measurable analysis of the efficiency of the proposed method. The research seeks not only to establish a theoretical framework that merges EVM principles and agile practices, but also to identify and adapt performance measures that are critical to the success of agile projects. This comprehensive approach aims to improve the control phase in agile projects, contributing to the advancement and optimization of project management in dynamic and changing environments. During project development, Scrum performance measures were successfully identified and adapted to earned value management (EVM) metrics based on a comprehensive literature review and correlation analysis. This led to the creation of a specific control method for agile projects based on agile principles such as early and continuous delivery of valuable products, acceptance of changes in requirements, and frequent delivery of functional products. The adaptation of EVM metrics to agile principles, including their structure and graphical representations, established the basis for the development of the SCRUM-EVM method, consolidating it as an effective tool for agile project management by measuring both the functional value delivered to the customer and the actual team effort. The validation of the method through Monte Carlo simulation demonstrated its ability to measure and project performance in agile projects with high accuracy, underlining the importance of key metrics such as Agile Planned Value (APV), Earned Functional Value (EFV), and Agile Actual Effort (AAE), and confirming the statistical stability of the metrics, ensuring the reliability of the generated projections. It is concluded that the implementation of SCRUM-EVM in agile projects integrates the flexibility of Scrum with the precision of EVM, providing a structured framework to measure progress, team efficiency, and value delivery in a continuous manner. It is ideal for software development and digital environments, although its flexibility allows it to be adapted to other contexts. By incorporating projection metrics, it facilitates informed decision-making, ensuring alignment with strategic business objectives and customer expectations.
  • Ítem
    Diseño de un modelo digital integrado y eficiente para la gestión de servicios financieros en una Fintech en la ciudad de Bogotá
    (Universidad Distrital Francisco José de Caldas) Moreno Bernal, Christian Andrés; Medina García, Víctor Hugo; Ospina Usaquén, Miguel Ángel; Moreno Bernal, Christian Andrés [0009-0008-5616-326X]; Medina García, Víctor Hugo [0000-0002-0989-8676]; Ospina Usaquén, Miguel Ángel [0000-0001-5335-1910]
    The constant growth of organizations focused on a new digital ecosystem enables the digitalization of financial processes and services, which are fundamental in value creation. This implies a transformation in business relationships and the integration of digital business networks, becoming a key factor of competitiveness in the Fintech sector through the development of new digital models. This research explores, as a case study, a Fintech company in the city of Bogotá. It begins with the identification of its current business model for financial services management, followed by an analysis and evaluation. The final result is the design of a digital business model for financial services management that impacts value creation, capture, and delivery, with pillars of integration and efficiency. The design is supported by an enterprise architecture approach as a reference pillar for the digital model design, allowing for the alignment of strategic objectives with technological and operational capabilities. As a result, the design of a digital business model will be developed to optimize the financial services management of Souberbank, generating an impact on value creation, capture, and delivery, with pillars in technological integration, enterprise architecture, and efficiency.
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    Optimización del proceso de recolección de fruto de palma de aceite en cultivos de pequeños productores del departamento de Casanare
    Ruiz Nieto, María Paula; López Santana, Eduyn Ramiro; López Santana, Eduyn Ramiro [0000-0001-7670-7756]
    The research project presented below aims to design a routing model to optimize the oil palm fruit harvesting process for small producers in the department of Casanare by reducing execution times. It is based on the fact that established routes in small plantations are usually determined experimentally and that harvested oil palm fruit bunches must be collected as quickly as possible in order to improve properties such as weight and acidity, allowing farmers to achieve a higher income from the product sold to the processing plants responsible for the transformation of this raw material. The project is proposed to be addressed through the following three phases: Research design, Pilot case application at the Agroinversiones PAMARA plantation located in the municipality of Villanueva Casanare, and finally, decision-making based on the analysis of the results obtained.
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    Modelo multiobjetivo de ruteo e inventarios capacitado de plaguicidas en la Sabana de Bogotá
    (Universidad Distrital Francisco José de Caldas) Ruíz Bermúdez, Oscar Mauricio; López Santana , Eduyn Ramiro; López Santana, Eduyn Ramiro [0000-0001-7670-7756]
    This project addresses the problem of inventory management and routing from a multi-objective perspective, seeking to impact the associated logistics costs and profit margin in the supply chain of SMEs that manufacture phytosanitary products such as pesticides. IRP models seek to optimize the costs associated with storage and transportation according to the restrictions of the characterized supply chain (demand, plant capacity, vehicle capacity, available inventory, quantity of product to be delivered), seeking to meet the needs of customers for the defined horizon. Within the development of this project, different solution methods used in the consulted literature were evaluated and a heuristic was developed that allowed obtaining efficient results in terms of logistics costs and use of computational resources.
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    Propuesta de una arquitectura de datos abiertos referentes a inventarios turísticos y características de comunidades anfitrionas en Colombia
    (Universidad Distrital Francisco José de Caldas) Beltrán Martínez, Ronald Sneyder; Rodríguez Rojas, Luz Andrea; Lara Silva, Marcia Ivonne; Rodríguez Rojas, Luz Andrea [0000-0003-0312-1177]
    The development of a Smart Tourist Destination (STD) involves engaging in a management process supported by the use of technology to enhance the tourist experience, while also addressing the needs and requirements of host communities. In this sense, one of the main objectives of STDs is to ensure the sustainability of tourism in all its dimensions: economic, environmental, and sociocultural. Open tourism data is a fundamental component of an STD. Specifically, open data related to tourism inventories and the characteristics of host communities makes it possible to identify their needs and limitations, thus facilitating the formulation of policies that promote their protection, conservation, and the improvement of their current conditions. However, there is a widespread lack of this type of data at a global level, partly due to the predominant focus on enhancing the tourist experience, which centers on the traveler's perception and economic aspects. Additionally, it has been observed that open tourism data, as in other sectors, faces further challenges, such as the large number of data structures used by different publishers. This diversity hinders data reuse, particularly in the development of technological applications. This research proposes an architecture that addresses these issues by establishing standards and guidelines for the creation of open data sets on tourism inventories and host community characteristics. It applies quality and interoperability criteria and aligns with the features of Colombia’s Open Data Portal for publication purposes—all with the aim of maximizing their reuse in technological developments.
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    Diseño de un modelo estratégico para el seguimiento y control de proyectos en la oficina de TIC de las entidades de la rama judicial del poder público
    (Universidad Distrital Francisco José de Caldas) Vásquez Parra, Maira Alejandra; Palacios Osma, José Ignacio; Palacios Osma, José Ignacio [0000-0003-4701-4373]
    This thesis aims to design a strategic model for the monitoring and control of Information and Communication Technology (ICT) projects in the justice sector, using the Balanced Scorecard (BSC) approach. Within the context of the Attorney General’s Office of Colombia (fiscalía general de la Nación, FGN), the proposed model seeks to address critical challenges related to strategic alignment, transparency, and sustainability in ICT project management. The objective is to ensure that such projects align with institutional goals and contribute to the organization’s mission and vision. The methodology is based on the Design Science Research (DSR) framework to adapt the BSC to the specific needs of ICT projects in public sector environments. The model incorporates four perspectives: Financial, Customer, Internal Processes, and Learning and Growth. Each perspective is associated with key performance indicators (KPIs) that enable detailed project monitoring, facilitate informed decision-making, and support accountability to both internal and external stakeholders. As a result, the model is expected to foster more efficient project management aligned with the strategic priorities of the institution. Furthermore, this thesis provides a solid foundation for future research and practical applications in other public sector entities. The model's contribution lies in its potential to enhance sustainability and innovation capacity in ICT project management within the public sector, promoting more efficient use of resources and greater impact on end users.
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    Modelo de innovación para el servicio de apoyo a mipymes del laboratorio de manufactura y diseño avanzado (lamda) de la Universidad Distrital Francisco José de Caldas
    Rodriguez Feliciano , Cristian Camilo; Montaña Quintero, Henry; Montaña Quintero, Henry [0000-0003-0752-6315]
    Micro, Small, and Medium Enterprises (MSMEs) are a key sector for Colombia’s economic and sustainable development. However, these businesses exhibit a low level of innovation, limiting their growth potential and competitiveness. As part of national and district government strategies to support the achievement of the Sustainable Development Goals (SDGs) through academia, the Advanced Manufacturing and Design Laboratory (LAMDA) at Universidad Distrital Francisco Jose de Caldas plays a crucial role in Bogotá’s innovation ecosystem. LAMDA is equipped with cutting-edge technologies that can facilitate MSME innovation. However, to provide effective support, LAMDA requires a tailored innovation model specifically designed for MSMEs. The proposed research aims to design an innovation model for LAMDA to assist MSMEs in enhancing their innovation capacity. This study has the potential to contribute to the development of an effective innovation model for Colombian manufacturing MSMEs. Such a model can be leveraged by LAMDA and other actors within the innovation ecosystem to support MSMEs in their innovation efforts. This research is significant as it can help improve innovation among Colombian MSMEs by addressing barriers that hinder their ability to innovate, thereby enhancing their growth potential and competitiveness. The study will be conducted in three phases, employing a combination of qualitative and quantitative methods. The expected outcomes will contribute to the development of an effective innovation model for manufacturing MSMEs. The proposed research scope ensures feasibility and aims to generate relevant insights for Colombian manufacturing MSMEs.
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    Optimización con un modelo IRP multiobjetivo de la cadena de suministro de perecederos para los Fast Food Restaurant, caso RANSA en Bogotá D.C.
    (Universidad Distrital Francisco José de Caldas) Mantilla Rosas, Javier Enrique; Orjuela Castro, Javier Arturo; Orejuela Cabrera, Juan Pablo; Mantilla Rosas, Javier Enrique [0000-0001-5283-7230]; Orjuela Castro, Javier Arturo [0000-0001-7857-5064]; Orejuela Cabrera, Juan Pablo [0000-0003-2187-0630]
    The main challenge in the logistics of perishable products lies in the high transportation and inventory management costs for both suppliers and customers. In addition, they face operational constraints such as specific time windows for deliveries and limited storage capacities in different supplier and customer warehouses. The present project addresses the routing and inventory problem (IRP) as a multi-objective model designed to optimize and minimize costs in the perishable food supply chain. The objective function is cost minimization, comprising transportation costs, food losses, and inventory. The solution methods of the IRP model allow optimizing the costs associated with transportation and storage, taking into account demand constraints, vehicle capacity, available inventory, quantity to be delivered, losses contemplated in the inventory costs and the number of visits necessary to supply each customer in a given planning horizon. In this project, the mathematical model proposed by Archetti [61] is used to address an inventory routing problem, modified and adapted to the requirements of a Fast Food Restaurant client in the city of Bogota. The model was solved using AMPL - Gurobi Optimizer 11.0.3. According to the number of nodes explored, it is a problem of moderate complexity, has a small Gap and the result is reliable and with quality. The average time used for the solution was 1,290 Seconds (21.5 minutes).
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    Herramienta para gestionar insumos en proyectos de vivienda de interés social en Bogotá́ D.C., a partir de metodologías agiles.
    (Universidad Distrital Francisco José de Caldas) Ortiz Rodriguez, Edwin Giovanny; Manrique Lopez, Karina; Manrique Lopez, Karina [0000-0001-5573-9978]
    The research project focuses on the identification of a tool for supplies management in social housing projects in Bogotá D.C., with the objective of analyzing and mitigating the difficulties that affect efficiency in these processes, which often results in delays and cost overruns. Through the application of agile methodologies, the aim is to optimize input management, improving communication between teams and the response to changes in the environment of Social Interest Housing projects. The research is supported by surveys of professionals in the sector, revealing critical areas such as the selection of suppliers, the standardization of processes and the implementation of improvement actions. The results point to the adoption of an improvement guide based on the agile Scrum methodology, which can facilitate a more dynamic and collaborative approach in input management, contributing to the sustainability and success of social housing projects in the city of Bogotá D.C.
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    Optimización de hardware y software para la implementación del algoritmo de cifrado ligero CLEFIA sobre sistema embebido PSoC
    (Universidad Distrital Francisco José de Caldas) Quiroga Castañeda, Laura Mayerly; Martínez Sarmiento, Fredy Hernán; Montiel Ariza, Holman; Martínez Sarmiento, Fredy Hernán [0000-0002-7258-3909]; Montiel Ariza, Holman [0000-0002-6077-3510]
    This paper describes the development of hardware and software optimization for the implementation of the CLEFIA lightweight encryption algorithm on a PSOC embedded system, in order to reduce the response times of encryption and decryption of information, as well as the description of the literature found related to the research topic.