Impacto en la enseñanza en la educación superior. El machine learning y la dinámica de sistemas para evaluar el efecto dominó en la cadena de suministro.

  • Víctor Hugo de la Cruz Madrigal Universidad Autónoma de Ciudad Juárez
  • Liliana Avelar Sosa Universidad Autónoma de Ciudad Juárez
Palabras clave: educación superior, machine learning, cadena de suministro, sistemas dinámicos, efecto dominó

Resumen

El objetivo del estudio es analizar el impacto en la enseñanza a nivel superior al evaluar el efecto dominó en la cadena de suministro. A partir de las entrevistas realizadas a las empresas automotrices, se recolectó la demanda histórica de componentes automotrices donde se integró machine learning para pronosticar la demanda en la cadena de suministro en la industria automotriz y dinámica de sistemas para diseñar un modelo dinámico que ayude a evaluar el efecto dominó. Los resultados revelan que el efecto dominó incrementa los retrasos en las órdenes enviadas al cliente y reduce el nivel de inventario de productos terminados y donde aparece el efecto látigo, afectando al efecto dominó y que tiene un impacto negativo en el cliente.

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Publicado
2026-09-01