Logística sintética en el new retail chino: optimización de inventarios bajo incertidumbre estocástica
Synthetic logistics in chinese new retail: inventory optimization under stochastic uncertainty
DOI:
https://doi.org/10.56712/latam.v7i2.5617Palabras clave:
new retail, simulación Monte Carlo, visibilidad de inventario, jit, optimización de cadena de suministro, logística de GuangzhouResumen
El modelo híbrido de gestión de inventarios desarrollado para centros logísticos de New Retail en Guangzhou demuestra una superioridad indiscutible al integrar estrategias diferenciadas según la rotación de productos: EOQ/ROP para artículos de alta demanda, umbrales logísticos dinámicos para categorías intermedias y JIT cooperativo para productos de baja rotación. Mediante simulación Monte Carlo con diez mil iteraciones cuyo error típico se reduce por debajo del 1% gracias al teorema del límite central se alcanza una reducción del 23.7% en costos totales y un incremento del 76.8% en rotación de inventario respecto a políticas tradicionales, manteniendo niveles de servicio superiores al 95%. Lo verdaderamente revelador es que la eficiencia del sistema depende críticamente del coeficiente de cooperación con proveedores (β) y del bloqueo estratégico de visibilidad, factores que mitigan el efecto látigo en entornos omnicanal. Esta configuración, donde los picos de demanda se diluyen en la campana de probabilidades, proporciona a plataformas como Temu y PDD Holdings un marco robusto para equilibrar servicio y eficiencia operativa en el dinámico contexto logístico chino.
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Derechos de autor 2026 Jose Alberto Aldave Valderrama, Jaime Tomas Calderon Chavez, Jorge Ernesto Cáceres Trigoso

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