El Blog de Smart

Recomendaciones para la planificación de la demanda,

previsión y optimización de inventario

en un publicación reciente en SupplyChainBrain, Robert Bowman echa un vistazo a la excelencia en pedir planificación. Centrándose en cualidades y técnicas admirables, debería ser una lectura interesante para cualquier planificador de demanda que busque mejorar su oficio.

 

 

 

.

Deja un comentario

Artículos Relacionados

¿Sus pronósticos estadísticos sufren el efecto de oscilación?

¿Sus pronósticos estadísticos sufren el efecto de oscilación?

¿Qué es el efecto meneo? Es cuando su pronóstico estadístico predice incorrectamente los altibajos observados en su historial de demanda cuando realmente no hay un patrón. Es importante asegurarse de que sus pronósticos no cambien a menos que haya un patrón real. Aquí hay una transcripción de un cliente reciente donde se discutió este problema:

Cómo manejar pronósticos estadísticos de cero

Cómo manejar pronósticos estadísticos de cero

Un pronóstico estadístico de cero puede causar mucha confusión a los pronosticadores, especialmente cuando la demanda histórica no es cero. Claro, es obvio que la demanda tiene una tendencia a la baja, pero ¿debería tener una tendencia a cero?

Mensajes recientes

  • professional technician engineer planning spare parts in industrial manufacturing factory,Prepare your spare parts planning for unexpected shocks
    In today's unpredictable business climate, we do have to worry about supply chain disruptions, long lead times, rising interest rates, and volatile demand. With all these challenges, it's never been more vital for organizations to accurately forecast parts usage, stocking levels, and to optimize replenishment policies such as reorder points, safety stocks, and order quantities. In this blog, we'll explore how companies can leverage innovative solutions like inventory optimization and parts forecasting software that utilize machine learning algorithms, probabilistic forecasting, and analytics to stay ahead of the curve and protect their supply chains from unexpected shocks. […]
  • Uncover data facts and improve inventory performanceUncover data facts and improve inventory performance
    The best inventory planning processes rely on statistical analysis to uncover relevant facts about the data. When you have the facts and add your business knowledge, you can make more informed stocking decisions that will generate significant returns. You'll also set proper expectations with internal and external stakeholders, ensuring there are fewer unwelcome surprises. […]
  • Electricity problems. Repairman is working indoors with Software for spare partsElectric Utilities’ Problems with Spare Parts
    Every organization that runs equipment needs spare parts. All of them must cope with issues that are generic no matter what their business. Some of the problems, however, are industry specific. This post discusses one universal problem that manifested in a nuclear plant and one that is especially acute for any electric utility. […]
  • Correlation vs Causation Relevant to your demand planning businessCorrelation vs Causation: Is This Relevant to Your Job?
    Outside of work, you may have heard the famous dictum “Correlation is not causation.” It may sound like a piece of theoretical fluff that, though involved in a recent Noble Prize in economics, isn’t relevant to your work as a demand planner. Is so, you may be only partially correct. […]
  • Downtown Miami skyline panorama and with software guided lights on at duskSmart Software Customer, Arizona Public Service to Present at USMA 2023
    Smart Software CEO and APS Inventory & Logistics Manager to present USMA 2023 Session on APS supply chain transformation project and the role of inventory optimization technology in their new process. […]

    Optimización de inventario para fabricantes, distribuidores y MRO

    • professional technician engineer planning spare parts in industrial manufacturing factory,Prepare your spare parts planning for unexpected shocks
      In today's unpredictable business climate, we do have to worry about supply chain disruptions, long lead times, rising interest rates, and volatile demand. With all these challenges, it's never been more vital for organizations to accurately forecast parts usage, stocking levels, and to optimize replenishment policies such as reorder points, safety stocks, and order quantities. In this blog, we'll explore how companies can leverage innovative solutions like inventory optimization and parts forecasting software that utilize machine learning algorithms, probabilistic forecasting, and analytics to stay ahead of the curve and protect their supply chains from unexpected shocks. […]
    • Electricity problems. Repairman is working indoors with Software for spare partsElectric Utilities’ Problems with Spare Parts
      Every organization that runs equipment needs spare parts. All of them must cope with issues that are generic no matter what their business. Some of the problems, however, are industry specific. This post discusses one universal problem that manifested in a nuclear plant and one that is especially acute for any electric utility. […]
    • Mantenimiento de trabajadores máquina industrial robótica Pronóstico RepuestosCómo Pronosticar Repuestos con Bajo Uso
      ¿Qué hace cuando pronostica un artículo con demanda intermitente, como una pieza de repuesto, con una demanda promedio de menos de una unidad por mes? La mayor parte del tiempo, la demanda es cero, pero la parte es significativa en un sentido comercial; no se puede ignorar y se debe pronosticar para asegurarse de tener el stock adecuado. […]
    • Repuestos, repuestos OEM, rotables y repuestos inmediatosRepuestos, repuestos OEM, rotables y repuestos inmediatos
      Aquellos que son nuevos en el juego de planificación de piezas a menudo se confunden con las muchas variaciones en los nombres de las piezas. Este blog señala distinciones que tienen o no importancia operativa para alguien que administra una flota de piezas de repuesto y cómo esas diferencias afectan la planificación del inventario. […]