首页> 外国专利> METHOD AND SYSTEM FOR COLLECTING SUPPLIER PERFORMANCE DATA AND IDENTIFYING STATISTICALLY-SIGNIFICANT PERFORMANCE EVENTS ACROSS A PLURALITY OF CUSTOMER BUSINESSES

METHOD AND SYSTEM FOR COLLECTING SUPPLIER PERFORMANCE DATA AND IDENTIFYING STATISTICALLY-SIGNIFICANT PERFORMANCE EVENTS ACROSS A PLURALITY OF CUSTOMER BUSINESSES

机译:收集供应商绩效数据并识别多个客户业务中统计上显着的绩效事件的方法和系统

摘要

A method and system for the collection of supplier performance data and the identification of out-of-control conditions, shifts, and trends. Supplier performance data is collected by a plurality of businesses (customer businesses) on an electronic business network using a centralized web application and server. Once the web application saves the supplier performance data, computer code on the server statistically analyzes the data to identify statistically significant out-of-control conditions, shifts, and trends. If the computer code identifies an out-of-control condition, shift, or trend in a supplier's performance, the computer code notifies all of said supplier's customers within the electronic business network. The present invention increases supply chain visibility beyond a single customer business thereby improving supply chain performance and reducing supply chain risk.
机译:一种用于收集供应商绩效数据以及识别失控状态,班次和趋势的方法和系统。供应商绩效数据是由多个企业(客户企业)使用集中式Web应用程序和服务器在电子商务网络上收集的。一旦Web应用程序保存了供应商的绩效数据,服务器上的计算机代码就会对数据进行统计分析,以识别统计上明显失控的状况,变化和趋势。如果计算机代码识别出供应商绩效的失控状态,变化或趋势,则计算机代码会通知电子商务网络中所有所述供应商的客户。本发明增加了供应链可视性,超越了单个客户业务,从而改善了供应链性能并降低了供应链风险。

著录项

  • 公开/公告号US2018025459A1

    专利类型

  • 公开/公告日2018-01-25

    原文格式PDF

  • 申请/专利权人 HENRY MATTHEW SHAPIRO;

    申请/专利号US201615218033

  • 发明设计人 HENRY MATTHEW SHAPIRO;

    申请日2016-07-24

  • 分类号G06Q50/28;G06Q30/02;

  • 国家 US

  • 入库时间 2022-08-21 13:01:26

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