En un mundo caracterizado por la constante interrupción en la cadena de suministro, la capacidad de analizar rápidamente diferentes escenarios se ha vuelto esencial. Ante preguntas cruciales como la detención de una línea de producción o el cierre de un centro de distribución, empresas líderes como Intel y La-Z-Boy están adoptando gemelos digitales de sus cadenas de suministro para una toma de decisiones ágil.
Desafíos y respuestas en la-z-boy
El fabricante de muebles estadounidense La-Z-Boy se encontró con desafíos significativos cuando la demanda de sillones y sofás aumentó abruptamente al inicio de la pandemia de COVID-19. Ante esta incertidumbre, La-Z-Boy recurrió a la tecnología, utilizando el software de modelado de cadenas de suministro de AIMMS para construir un modelo de su cadena existente. Aanan Panday, consultor de cadena de suministro de AIMMS, destaca que este primer paso es crucial para validar el modelo utilizando datos históricos y ganar confianza en el diseño.
El siguiente paso para La-Z-Boy fue explorar diversos escenarios hipotéticos. ¿Qué sucedería si aumentaran la capacidad de las fábricas existentes? ¿Y si abrieran una nueva planta de producción? Este análisis de escenarios proporcionó una visión clara del diseño óptimo de la cadena de suministro. Panday subraya que este proceso, aunque llevó meses, permitió a La-Z-Boy identificar con precisión las ubicaciones que necesitaban o no capacidad adicional, ahorrando así decenas de millones de euros en costos.
Gemelos digitales: de la modelización a la acción
La pandemia de COVID-19 intensificó la necesidad de modelar cadenas de suministro, ya que las interrupciones se volvieron más frecuentes e impredecibles. AIMMS destaca que el análisis de escenarios se ha convertido en una prioridad a medida que las empresas buscan adaptarse rápidamente a las nuevas perturbaciones, como la guerra en Ucrania. Panday señala que, una vez que se tiene un modelo sólido basado en datos actuales, conocido como «gemelo digital», ajustar parámetros y evaluar el impacto en tiempo real se vuelve más accesible. Esto permite realizar compensaciones efectivas entre costos, riesgos, disponibilidad de productos y sostenibilidad.
Cambio en la naturaleza de las preguntas
El modelado de la cadena de suministro ha evolucionado significativamente. Antes era un ejercicio anual centrado en preguntas estratégicas sobre ubicaciones óptimas de producción y distribución. Hoy en día, se utiliza para abordar cuestiones tácticas y operativas, como la cantidad de capacidad de fabricación e inventario necesaria en cada ubicación y la priorización de productos en el almacén.
Con herramientas avanzadas como las proporcionadas por AIMMS, el modelado de la cadena de suministro se ha simplificado. Aunque sigue requiriendo conocimientos de análisis de datos y operativos, AIMMS ha demostrado que puede proporcionar resultados en cuestión de meses, permitiendo a las empresas adaptarse rápidamente a las cambiantes dinámicas de la cadena de suministro.
Intel: Un Caso de Uso Adicional
El fabricante de chips Intel también optó por construir su propio equipo de modelado de cadena de suministro en respuesta a la necesidad de adaptarse a cierres de centros de distribución durante la pandemia. El gemelo digital resultante se ha vuelto inmensamente valioso para Intel al abordar desafíos como la escasez global de chips. Paul van Nierop, propietario de producto de AIMMS, destaca que el gemelo digital ha permitido a Intel analizar rápidamente diversos escenarios, como el reciente cierre en Shanghai, facilitando la toma proactiva de decisiones para la planificación de contingencias.
En México, gracias a la apertura de empresas que han mostrado un gran compromiso con la tecnología, poco a poco han ido ganando terreno los rubros del marketing digital.
Un solo negocio puede tener diferentes buyer personas; esto quiere decir que el mensaje tendrá que irse adaptando al perfil y necesidades de cada comprador.
A medida que el panorama de la PI continúa evolucionando en el contexto de la IA y los macrodatos, es fundamental que las empresas estén preparadas para adaptarse y desarrollar estrategias ágiles y proactivas para proteger sus activos y mantener su ventaja competitiva en un mundo impulsado por la tecnología.
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