Ingeniería en Sistemas, Electrónica e Industrial

URI permanente para esta comunidadhttp://repositorio.uta.edu.ec/handle/123456789/1

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  • Item type:Ítem,
    Predicción de la producción y optimización de recursos en fideos victoria con Machine Learning y Algoritmos de optimización
    (2025-08)
    Tixilema Merchán Mateo Sebastián
    ;
    Nogales Portero Rubén Eduardo
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Software
    In the food sector, the need to modernize processes using digital technologies has become a priority in order to improve competitiveness. Faced with this challenge, this project proposes the development of an intelligent system, based on machine learning, to predict production at the company Fideos Victoria. This solution responds to the urgent need to move away from empirical practices, proposing an automated and adaptive approach. The system designed is capable of analyzing the company's historical data and sales patterns using machine learning, which allows it to anticipate future demand and plan daily and weekly production based on this. In addition, it integrates a distribution route optimization module with the ACO algorithm, which reduces product delivery times and adapts logistics to market realities. Through the implementation of this tool, the operational uncertainty of the production system was reduced by 84.06%, improving product availability. A significant improvement in predictive accuracy was also observed, with an average mean square error of 12.15% due to algorithm optimization for Random Forest. On the other hand, by applying the ACO algorithm, route variability was reduced by up to 1.57%, thereby improving the stability of the logistics system. This technological advance represents an important step in the company's digital transformation and establishes a solid foundation for future similar applications in the food sector.
  • Item type:Ítem,
    Análisis de riesgos laborales en la línea de producción de la empresa Calzado Yair
    (2025-07)
    Toasa Naranjo Santiago Alexander
    ;
    Mariño Rivera Christian José
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial
    The purpose of this study is to analyze the occupational risks in the production line of the company “Calzado Yair”, to safeguard the health and integrity of workers and improve operating conditions. To this end, three specific objectives were set: to identify the processes and activities of the production line, to identify hazards with their respective risk estimation and assessment, and to develop a safety plan aimed at their mitigation. The methodology used was based on technical visits to the plant, direct observation, interviews and the application of the GTC 45 methodology for the identification, estimation and evaluation of risks. It was possible to establish a detailed characterization of each job and the associated hazards, prioritizing those of greater frequency and severity. Among the relevant findings are ergonomic due to forced postures and by repetitive movements. Based on the evaluation carried out, a safety plan was designed with specific preventive measures, such as ergonomic adaptations, equipment maintenance, signage, correct use of personal protective equipment and periodic training. The study concludes that the progressive implementation of the proposed plan will significantly reduce risk levels, improve productivity and promote a safe and healthy work environment within the organization.
  • Item type:Ítem,
    Planificación de la producción y capacidad en la empresa de inyección de plástico Halley Corporación C.l.
    (2025-07)
    Medina Palacios Luis Joffre
    ;
    Rosero Mantilla César Aníbal
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial
    The research project was carried out at HALLEY CORPORACIÓN C.L., a company dedicated to plastic injection for the manufacturing of products across three production lines. Currently, production planning is carried out without technical knowledge, leading to delays in deliveries and a reliance on overtime to meet customer requirements. The objective of this study was to develop a production and capacity plan to improve demand fulfillment and optimize the use of available resources. The methodology included selecting four representative products based on sales analysis, conducting time studies to determine production capacity, and using Excel to perform the necessary calculations and analyses. Based on historical data, demand was forecasted over an eight-month horizon using Forecast Pro software. An aggregate production plan was then developed using the level workforce strategy with overtime, resulting in a total cost of $11,588.73. Subsequently, a Master Production Schedule and a rough-cut capacity plan were created, revealing underloads in production processes and demonstrating that customer requirements could be met without adjusting capacity. This study concludes with the design of a production and capacity plan as a flexible tool for monthly or weekly demand scheduling, efficient resource allocation, and support for operational decision-making.
  • Item type:Ítem,
    Gestión de residuos sólidos en el área de producción de la empresa de calzado Wonderland
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial, 2025-02)
    Muñoz Villacrés Álvaro Fernando
    ;
    Morales Perrazo Luis Alberto
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información
    The lack of an adequate solid waste management system in the footwear industry has a significant environmental impact. Currently, much of the waste generated in this industry is disposed of as common garbage, which causes problems of landfill saturation, contamination, and health risks. For this reason, the objective of the degree project “Solid waste management in the production area of the Wonderland footwear company” is to analyze solid waste management in this area. During a period of two months, the production of waste in Wonderland's facilities was analyzed through the collection of data provided by seven workers. The results reveal that approximately 86,179 kg were generated in eight weeks in the solid waste production area, among which leather scraps stand out as the main contaminant, representing 43.9% of the total. Other waste identified included cardboard (16.2%), fabric and polyethylene lining (10.8%), interlining (6.7%) and rubber sole particles (5.2%). This finding demonstrates the importance of focusing on waste reduction to achieve significant improvement in waste management. In conclusion, it is important to implement a comprehensive management program that includes a classification system, monitoring, personnel training, and verification of compliance with current national environmental regulations based on the Unified Environmental Information System (SUIA) and the Ministry of the Environment, which are referenced with standards such as INEN 2266, Ministerial Agreement 142 and Ministerial Agreement 061, among others, as well as international standards such as ISO 14001, to reduce environmental impact and optimize processes, avoiding future financial penalties or partial or total closure of the company
  • Item type:Ítem,
    Plan de mantenimiento aplicando la metodología (RCM) para el área de producción de Cepolfi Industrial C.A.
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial, 2025-02)
    Carrera Zurita Karen Mayté
    ;
    Urrutia Urrutia Fernando
    The main objective of this research was to propose a maintenance plan applying the RCM methodology for the production area of the company Cepolfi Industrial C.A. An analysis and coding of the equipment and machinery in the production area of the company was carried out, which was made up of 3 digits, the first corresponding to the production plant, the second digit to the area where the equipment is located, and the third digit belonged to the initials and numbering of each of the machines, following the guidelines of the ISO 14224 standard. Subsequently, failure modes and effects matrices (FMEA) were made, in which the components of each machinery and equipment are broken down, with the respective failures that occur, after which the IRP (Risk Priority Index) was calculated by multiplying the severity index (G), by the occurrence index (O) and the detectability (D), which according to NTP 679, if the value is greater than 100 the risk is considered high. Similarly, the decision matrices of each machinery of the Cepolfi company were created based on the weighted factor method, considering 5 factors, the priority for the operation of the machine (P), the implementation cost (C), the technical feasibility (F), the scope (A), and the available resources (R), each of these factors were scored as 1 = Low, 2 = Medium Low, 3 = Medium, 4 = Medium High and 5 = High, this helped in the selection of the most relevant maintenance tasks for each equipment and machinery. With the previously developed procedures, the predictive maintenance plan based on RCM was developed, focused on the identification of key components, fault prioritization, definition of specific protocols, selection of tasks based on decision matrices. Finally, the maintenance schedule was included with a one-year projection, using color scales with their respective frequency of performance, which becomes a tool to organize, plan and optimize the management of predictive maintenance, with the purpose of increasing production, preventing unforeseen stoppages.
  • Item type:Ítem,
    Modelo de planificación de la producción y capacidad para la fabricación de cuero en la empresa Promepell S.A.
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial, 2024-08)
    Lara Miranda, Lourdes Amanda
    ;
    Naranjo Chiriboga, Israel Ernesto
    Promepell S.A., is facing production delays due to inadequate planning in its operational activities, resulting in the postponement of deliveries. The project aims to develop a model for production and capacity planning for the leather manufacturing processes in the footwear and upholstery production lines, enabling the company to fulfill customer orders according to established delivery dates. The methodology applied involved using Excel software for various calculations. Additionally, a time study was conducted as a basis for subsequent calculations, considering the products that the company primarily manufactures based on leather type and demand. A capacity analysis was also performed, focusing on necessary resources and demand forecasts. This analysis identified the bottleneck process that restricts production. A master production schedule was developed, indicating the required weekly production, and an approximate capacity plan was created to identify potential underloads or overloads in the processes, considering the available resources to meet future orders. With the production and capacity planning model, the company can determine daily production quantities, the processes to be carried out at each work center, the production hours, and the number of workers required for each process. This ensures better productivity through effective management and scheduling.
  • Item type:Ítem,
    Modelo de gestión de procesos para el área de producción de Embutidos La Madrileña
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial en Procesos de Automatización, 2023-09)
    Bolaños Martínez, Hermes Wladimir
    ;
    Tigre Ortega, Franklin Geovanny
    Currently and worldwide, the way in which processes are managed is fundamental to improve the productivity and performance levels of industries, through a constant search for tools that allow companies to be more efficient. For this research development, a process management model was presented for production area at Embutidos La Madrileña; since the lack of documentation and the limitations in terms operators training, impair the correct development of the operations in the production process. The purpose of this study was to provide organization with a support of documented processes through concise and orderly information, so that operators can perform their activities in a systematic way. Thus, research started with an analysis based on collection of information in the processes based on the company's mo most demanded product, a time study and indicators development to control the processes. As a result. a production procedures manual was proposed to structure and organize the organization's information; in addition, this document will serve as an instrument for consultation, training and induction of workers.
  • Item type:Ítem,
    Estudio de tiempos y movimientos para la optimización del proceso de producción de yogur en la empresa pasteurizadora Nutrición y vida S.A”
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial en Procesos de Automatización, 2022)
    Orozco Vásquez, Cristian Javier
    ;
    Ortiz Sailema, Christian Ismael
    This research project arises with the need to improve the process of making yogurt, the general objective is based in realize a study of times and movements for the optimization of the production process of the product with the highest demand in the company "Pasteurizadora Nutrición y Vida S.A", the ABC methodology was used to determine the star product. The product with the highest demand in the production line is the yogurt in bottle of 4-liter Strawberry flavor, with the time study it was identified that the process that slows down the production line is lactic fermentation, which limits the company's production capacity to 99 units per day; for the movement study, the bimanual diagram was applied, which reduced a total of 11 non-efficient movements. In addition, an improvement proposal was made which deals with a plant redistribution applying the SLP method, also the number of machines needed for each area was calculated in order to increase production capacity, the FlexSim tool was used to simulate the current and proposed situation. Finally, the results of the plant redistribution show a reduction from 559.48 to 342.75 meters was obtained, decreasing 38.75% in distance traveled, also an improvement of 0.60% was obtained in process time from 1544.47 to 1535.87 minutes. 87 minutes, subsequently it was determined that one more machine is needed in the fermentation area, by simulating these results a production of 3500 units/month was obtained, comparing the current production vs. the improvement represents an increase of 1280 units which corresponds to an increase of 57.66% in production and a growth in monetary value equivalent to $3456.00.
  • Item type:Ítem,
    Planeación de producción a través de la aplicación de metodologías heurísticas para la optimización de costos en el área de producción de la empresa “Calzado Stalin”
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial en Procesos de Automatización, 2023-03)
    Eugenio Pullutasig, Sergio Stalin
    ;
    Ortíz Sailema, Christian Ismael
    The main objective of this research was: To develop a production planning through the application of heuristic methodologies for cost optimization in the production area of the company "Calzado Stalin", for which an aggregate planning model is proposed with methodologies that allow satisfying the requirements of the demand. In the current state of the company, the activities and production strategies were identified through observation sheets, when executing a production line, the resources presented in each process were reflected, mentioning that they do not have a production plan. The analysis to know the production process through files will survey processes and balance masses in each production area with the raw material. In the analysis of how long it takes to do each activity through the process diagram focused on the productive activities necessary for the manufacture of footwear. Finally, aggregate production plans are developed with heuristic methodologies in which you need relevant costs of resources in manufacturing, the results obtained from the installation costs of the plans are: Model 1 Exact Production with Variable Labor Force with a cost of $ 247,655.00, Model 2 Constant Labor Force with overtime and unproductive times with a cost of $ 212,636.71, Model 3 Constant Workforce with overtime -50% and 100% surcharge with a cost of $237,379.36 and Model 4 Constant Workforce, downtime and exhausted service a cost of $249,755.06. In addition to that, a model to be implemented was proposed, detailing the necessary requirements that the company must take to produce.
  • Item type:Ítem,
    Redistribución de instalaciones para la mejora de la productividad en la planta de producción de la empresa Calzado Gusmar
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial en Procesos de Automatización, 2023-03)
    Játiva Amores, José Paúl
    ;
    Naranjo Chiriboga, Israel Ernesto
    The purpose of this research is to present a proposal for the physical redistribution of the facilities within the footwear company GUSMAR, this proposal allows to improve the productivity of the plant, removing useless distances and optimizing the available space. For the development of the project, three fundamental stages were considered: in the first stage, information was gathered on the current conditions of the production process; in the second stage, tools and methodologies for the distribution of facilities were used; and finally, the model of the current distribution and the proposed distribution were simulated using FlexSim software, in order to compare and select the alternative that would increase productivity. To generate the redistribution alternatives, the systematic distribution planning (SLP) method was used, then two alternatives were proposed and evaluated by means of the load-distance analysis, where it was determined that alternative 2 is optimal, since it reduces the distance traveled by the material by 26.75%, equivalent to 91,014.80 meters. And with the objective of reducing the longest duration times in the processes of trimming and assembly (bottleneck) where a flexible distribution in those workstations was carried out The distribution proposal was validated by analyzing the indicators obtained in the FlexSim software simulation of the entire footwear manufacturing line, where it was shown that this proposal generates an increase in productivity of 0.06%, or the same from 0.63 to 0.67 pairs/hour of work, or the increase from 625 pairs of shoes to 667, without generating an additional cost by redistributing the facilities of the GUSMAR footwear production plant.