Browsing Ingeniería Industrial by autor Ulima "García López, Yván Jesús"

Mostrando ítems 1-8 de 8

    • Application of the Use of Time Series Models: Tropospheric Nitrogen Dioxide (NO2) in Different Meteorological Systems in Two Districts of the City of Lima 

      Molina Cueva, Airton Fabrizio; Cueva Roldan, Renzo Aaron; García López, Yván Jesús; Quiroz Flores, Juan Carlos (Seventh Sense Research Group, 2023)
      Acceso abierto
      This research will address air pollution, a severe problem in all world cities, because it negatively affects people's health and deteriorates the ecosystem. NO2 is a gas linked to acid rain formation and various reactions ...

    • Big data classification using fuzzy logical concepts for paddy yield prediction 

      Roca Cedeño, Jacinto Alex; García López, Yván Jesús; Neira-Molina, Harold; Morales-Ortega, Roberto; Combita-Niño, H.; Choque Flores, Leopoldo (Eskisehir Osmangazi University, 2021)
      Acceso abierto
      Time association data has been critical to the exploration field of paddy yield forecast. At durations the path of recent many years, countless flossy legitimate time arrangement. For this reason, this paper canters round ...

    • Comparison of the machine learning and AquaCrop models for quinoa crops 

      Chumbe Llimpe, Rossy Jackeline; Silva Paucar, Stefany Dennis; García López, Yván Jesús (Czech Academy of Agricultural Sciences, 2023)
      Acceso abierto
      One of the main causes of having low crop efficiency in Peru is the poor management of water resources; which is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops ...

    • Improving Demand Analysis and Supply Chain Management for Hair Products During the COVID-19 Pandemic: A Machine Learning Approach 

      Kato Yoshida, Valeria Midori; Mosquera Mendoza, Ivone Brigiethe; García López, Yván Jesús; Quiroz Flores, Juan Carlos (Seventh Sense Research Group, 2023)
      Acceso abierto
      This research analyzes the demand for hair care products during the COVID-19 pandemic. Two forecasting models, Arima and Sarima, based on Machine Learning technology, were proposed to improve data analysis and supply chain ...

    • Improving Demand Forecasting by Implementing Machine Learning in Poultry Production Company 

      Garcia Arismendiz, Joaquin Antonio; Huertas Zúñiga, Sandra Larissa; Lizárraga Portugal, Carlos Augusto; Quiroz Flores, Juan Carlos; García López, Yván Jesús (Seventh Sense Research Group, 2023)
      Acceso abierto
      The use of manual methods to forecast demand in perishable food companies is generally subject to the variability of internal and external factors in the company, causing excess inventories and significant monetary losses, ...

    • Minimization of Smashed Products in Sustenance Industries by Lean and Machine Learning Tools 

      Carbajal Vásquez, Keysi Alejandra; Piscoya Alvites, Renato Alejandro; Quiroz Flores, Juan Carlos; García López, Yván Jesús; Nallusamy, S. (Seventh Sense Research Group, 2023)
      Acceso abierto
      This study focuses on developing a solution to one of the main problems in the food sector, product deterioration, often due to poor inventory management, low turnover, and lack of shelf-life control, among other causes. ...

    • Retail Distribution using Georeferenced Systems and Genetic Algorithms for Product Delivery. Case study. 

      Taquía Gutiérrez, José Antonio; García López, Yván Jesús (International Hellenic University, School of Science, 2023)
      Acceso abierto
      This paper presents the difference in the performance of the genetic algorithm and the nearest neighbor algorithm applied in a case study of a food distribution company in the city of Lima. A descriptive methodology was ...

    • Traditional Machine Learning based on Atmospheric Conditions for Prediction of Dengue Presence 

      Sánchez López, Brenda Sofía Zoila; Candioti Nolberto, Daniela; Taquía Gutiérrez, José Antonio; García López, Yván Jesús (Centro de Investigación en Computación del Instituto Politécnico Nacional, 2023)
      Acceso abierto
      The dengue virus has become an increasingly critical problem for humanity due to its extensive spread. This is transmitted through a vector that sprouts in certain climatic conditions (tropical and subtropical climates). ...