首页> 外国专利> MACHINE LEARNING AND COMPUTER-BASED GENERATION OF STANDARD WORK MATRICES FOR IMPROVING EXECUTION OF A STANDARD WORK

MACHINE LEARNING AND COMPUTER-BASED GENERATION OF STANDARD WORK MATRICES FOR IMPROVING EXECUTION OF A STANDARD WORK

机译:基于机器学习和基于计算机的标准工作矩阵,用于改善标准工作的执行

摘要

Methods and computer program products for organization and improvement of systems, processes, and operations for performing work. A system includes a database for storing metric data, a quantum computer in communication with the database, and a server in communication with the database and the quantum computer. Instructions implemented by the server include providing the metric data associated with the plurality of projects to the quantum computer for the quantum computer to quantify metrics for each of the plurality of projects and receiving quality improvement analysis from the quantum computer for the plurality of projects. The instructions include identifying five or fewer projects of the plurality of projects based on which of the plurality of projects fails a quality threshold for the metric data by a greatest margin.
机译:用于组织的方法和计算机程序产品,用于执行工作的系统,流程和操作的改进。 系统包括用于存储公制数据的数据库,与数据库通信的量子计算机,以及与数据库和量子计算机通信的服务器。 由服务器实现的说明包括向量子计算机提供与多个项目相关联的度量数据,以对多个项目的量子计算机量化多个项目中的每一个的量化和接收质量改进分析的量化。 该指令包括基于多个项目中的哪个项目的识别多个项目的五个或更少项目,该项目通过最大的余量失败了度量数据的质量阈值。

著录项

  • 公开/公告号US2021279629A1

    专利类型

  • 公开/公告日2021-09-09

    原文格式PDF

  • 申请/专利权人 ONEFIVEFIFTY LLC;

    申请/专利号US202117194168

  • 发明设计人 MICHAEL T. NELSON;

    申请日2021-03-05

  • 分类号G06N10;G06F11/34;G06N3/02;G06F9/54;

  • 国家 US

  • 入库时间 2022-08-24 20:56:02

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