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PREDICTING A SUPPLY CHAIN PERFORMANCE

机译:预测供应链绩效

摘要

Methods and systems to predict a supply chain performance are described. A system receives supply chain data for delivery of a product. The supply chain data includes input signals comprising operational plans and observed supply chain operational metrics. The input signals include a delivery date of the product. The system automatically generating predicted supply chain operational metrics across including a value at risk that is predicted for the product. The system automatically infers causal factors that impact the predicted supply chain operational metrics including impacting the value at risk that is predicted for the product. The system automatically generates action recommendations for the supply chain. An action recommendation includes a first predicted value impact and a sequence of actions impacting the product the delivery date of the product and the value at risk that is predicted for the product.
机译:描述了预测供应链绩效的方法和系统。系统接收用于产品交付的供应链数据。供应链数据包括输入信号,这些输入信号包括运营计划和观察到的供应链运营指标。输入信号包括产品的交货日期。系统会自动生成预测的供应链运营指标,包括针对产品的预测风险值。系统自动推断出影响预测供应链运营指标的因果因素,包括影响产品预测的风险价值。系统自动为供应链生成行动建议。行动建议包括第一个预测值影响和一系列影响产品的行为序列,包括产品的交付日期和为产品预测的风险值。

著录项

  • 公开/公告号US2020210922A1

    专利类型

  • 公开/公告日2020-07-02

    原文格式PDF

  • 申请/专利权人 NOODLE ANALYTICS INC.;

    申请/专利号US201916731813

  • 发明设计人 SIVANTHA DEVARAKONDA;JAMES SNYDER JR.;

    申请日2019-12-31

  • 分类号G06Q10/06;G06Q10/08;G06N20;H04W4/12;

  • 国家 US

  • 入库时间 2022-08-21 11:21:48

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