C3 IoT > 实例探究 > 库存管理动态优化

库存管理动态优化

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 Dynamic Optimization of Inventory Management in Aerospace Manufacturing - IoT ONE Case Study
技术
  • 应用基础设施与中间件 - 事件驱动型应用
  • 功能应用 - 库存管理系统
适用行业
  • 航天
适用功能
  • 物流运输
  • 仓库和库存管理
用例
  • 库存管理
  • 拣选/分拣/定位
客户
关于客户

飞机发动机、航空电子设备和其他航空产品的全球制造商

挑战

一家飞机发动机、航空电子设备和其他航空产品的全球制造商拥有 90 条主要产品线,这些产品线各不相同,需要来自全球数百家制造商的数万个零件。

供应链的复杂性以及维护库存的成本非常高。仅就其飞机发动机的两个组件而言,该公司拥有来自数百家供应商的 6 亿美元的零部件库存,其中包括 4 亿美元的快速流动库存。优化库存水平可以减少供应商延迟并提高毛利率和收入。

解决方案

作为推动优化运营和投资软件的一部分,该公司对 C3 AI 库存优化应用程序进行了试用。通过应用人工智能来构建库存水平和供应商风险的实时视图,该公司降低了库存水平,同时仍保持甚至提高了服务水平。

经过 10 周的试用后,该公司展示了库存持有成本的显着节省,并准确预测了供应商的延误。

运营影响
  • The trial of the C3 AI Inventory Optimization application resulted in significant operational improvements for the company. The application's ability to provide a real-time view of inventory levels and supplier risks allowed the company to reduce inventory levels while maintaining or improving service levels. This led to significant savings in inventory holding costs. The application also accurately predicted supplier delays, enabling the company to better manage its supply chain and mitigate the impact of these delays. The company was able to integrate data from six supply chain systems to create a unified federated data image, further streamlining its operations. The creation of a production-ready application to detect supplier de-commit risk and streamline workflow and analytics for supply chain managers also improved the efficiency of the company's operations.
数量效益
  • $180–240M of potential value identified for inventory reduction
  • 80% accuracy predicting supplier delays or de-commits
  • 30-40% reduction in inventory levels

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