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Video Experimental Relacionado

Updated: Jan 13, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Un algoritmo híbrido de evolución diferencial para la programación de trabajos flexibles de ensamblaje distribuido

ShengWen Zhou1,2, Shuai Han3, Ming Yang4

  • 1School of Mechanical and Electrical Engineering, Hubei Polytechnic University, Huangshi, 435003, Hubei, People's Republic of China.

Scientific reports
|January 6, 2026
PubMed
Resumen

Este estudio presenta una estrategia de entrega por lotes para la demanda regional de materiales de construcción, optimizando la programación del taller y los costos de inventario. Un novedoso algoritmo híbrido resuelve eficazmente este complejo problema de programación de la producción.

Palabras clave:
Entrega por lotesAlgoritmo de evolución diferencialProgramación de operaciones de talleres flexibles de ensamblaje distribuidoBúsqueda local de vecindad variable

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Área de la Ciencia:

  • Investigación de Operaciones
  • Ingeniería Industrial
  • Gestión de la Cadena de Suministro

Sus antecedentes:

  • Las variaciones regionales en la demanda de los clientes de materiales de construcción presentan desafíos para la producción de grupos de equipos.
  • La programación eficiente y la gestión de inventario son fundamentales para los talleres flexibles de ensamblaje distribuido.
  • Equilibrar los costos de entrega por lotes e inventario es un problema de optimización complejo.

Objetivo del estudio:

  • Desarrollar un modelo matemático para la programación de talleres flexibles de ensamblaje distribuido que considere los costos de entrega por lotes e inventario.
  • Proponer un algoritmo eficiente para resolver el complejo problema de programación de la producción.
  • Diseñar una estrategia de lotes máximos adaptada a las características de la entrega por lotes.

Principales métodos:

  • Establecimiento de un modelo matemático para la programación de talleres, la entrega por lotes y los costos de inventario.
  • Desarrollo de un algoritmo híbrido de evolución diferencial integrado con Búsqueda de Vecindad Variable (VNS).
  • Diseño de una estrategia de lotes máximos basada en las diferencias de tiempo de finalización.

Principales resultados:

  • El algoritmo híbrido de evolución diferencial-VNS propuesto demuestra un rendimiento superior en la resolución del problema de programación.
  • La estrategia de lotes máximos aborda eficazmente las características de la entrega por lotes.
  • Los experimentos comparativos validan la efectividad y eficiencia del algoritmo.

Conclusiones:

  • El algoritmo híbrido ofrece una solución robusta para problemas complejos de programación de la producción en la fabricación de equipos.
  • La estrategia de entrega por lotes y el modelo de optimización asociado mejoran la gestión de los costos de inventario.
  • Esta investigación proporciona información valiosa para optimizar los sistemas de fabricación distribuidos con patrones de demanda regionales.