# US 2021/0279629 A1 · Machine learning and computer-based generation of standard work matrices for improving execution of a standard work > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0279629 A1 - Document ID: US20210279629A1 - Status: Published application - Kind: A1 - Application number: 17/194,168 - Filed: 2021-03-05 - Published: 2021-09-09 - Earliest claimed: 2020-03-05 - Assignees: oneFiveFIFTY LLC - Applicants: oneFiveFIFTY LLC - Inventors: Michael T. Nelson - Web page: https://patentgrep.com/patent/US20210279629A1 ## CPC - G06N 10/60: Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms - G06Q 10/103: {Workflow collaboration or project management} - G06F 9/547: {Remote procedure calls [RPC]; Web services} - G06F 11/3428: {Benchmarking} - G06N 3/02: Neural networks - G06N 3/0464: Convolutional networks [CNN, ConvNet] - G06N 3/08: Learning methods - G06N 3/09: Supervised learning - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract 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. ## Claims ### Claim 1 A system for computer-implemented improvement of execution of a standard work, the system comprising: a database for storing metric data associated with a plurality of projects implemented by an organization; a quantum computer in communication with the database; and a server in communication with the database and the quantum computer, the server comprising one or more processors for executing instructions stored in non-transitory computer readable storage medium, the instructions comprising: 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; receiving quality improvement analysis from the quantum computer for the plurality of projects; 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; defining a standard work matrix for improving each of the five or fewer projects; providing historical data to a neural network trained to identify at least one method for improving each of the five or fewer projects based on the historical data; determining whether execution of the at least one method for each of the five or fewer projects meets an improvement threshold based on updated metric data; and advancing the standard work matrix in response to the at least one method meeting the improvement threshold. ### Claim 2 (depends on 1) The system of claim 1, wherein the instructions further comprise communicating by way of an application program interface (API) with one or more of: a feedback component compiling and/or analyzing the updated metric data; a consulting component comprising consulting data pertaining to the standard work matrix; or an inventory management component comprising the metric data associated with the plurality of projects. ### Claim 3 (depends on 1) The system of claim 1, wherein the instructions further comprise defining the standard work matrix by: assessing historical success data comprising information on prior-executed standard works and/or standard work matrices that have been deemed successful; and identifying a historical standard work applicable to the metric data. ### Claim 4 (depends on 1) The system of claim 1, wherein the organization is a manufacturing facility, and wherein the metric data comprises one or more of: part defect codes or scrap, repair, and rework (SRR) hours. ### Claim 5 (depends on 1) The system of claim 1, wherein each of the plurality of projects is associated with a build area, and wherein identifying the five or fewer projects for the organization comprises selecting projects irrespective of build area. ### Claim 6 (depends on 1) The system of claim 1, wherein the metric data and the updated metric data comprise one or more of sensor data, survey data, consumer report data, manufacturing progress data, sales data, customer review data, consultant data, part defect-code data, fault data, or self-reported success data. ### Claim 7 (depends on 1) The system of claim 1, further comprising an image sensor in communication with the server, and wherein the instructions further comprise: receiving an image of a manufactured part from the image sensor; providing the image to a neural network trained to identify the manufactured part within the image; and receiving an indication from the neural network whether the manufactured part comprises a defect. ### Claim 8 (depends on 7) The system of claim 7, wherein the instructions further comprise: in response to receiving the indication from the neural network that the manufactured part comprises a defect, classifying the defect based on analysis from the neural network; identifying which project is associated with the manufactured part; and adding a defect classification code to the metric data for the project associated with the manufactured part. ### Claim 9 (depends on 1) The system of claim 1, wherein the instructions are such that advancing the standard work matrix comprises determining a new five methods for improving at least one of the five or fewer projects. ### Claim 10 (depends on 1) The system of claim 1, wherein the instructions are such that determining whether the execution of the at least one method for each of the five or fewer projects meets the improvement threshold comprises determining whether the execution of the at least one method is repeated consistently and precisely. ### Claim 11 A system for improvement of execution of a standard work, wherein the system comprises one or more processors configurable to execute instructions stored in non-transitory computer readable storage media, the instructions comprising: providing metric data associated with a plurality of projects to a quantum computer for the quantum computer to quantify metrics for each of the plurality of projects; receiving quality improvement analysis from the quantum computer for the plurality of projects; identifying a rolling top 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; defining a standard work matrix for improving each of the five or fewer projects; providing historical data to a neural network trained to identify at least one method for improving each of the five or fewer projects based on the historical data; determining whether execution of the at least one method for each of the rolling top five projects meets an improvement threshold based on updated metric data; and advancing the standard work matrix in response to the at least one method meeting the improvement threshold. ### Claim 12 (depends on 11) The system of claim 11, wherein the instructions further comprise communicating by way of an application program interface (API) with one or more of: a feedback component compiling and/or analyzing the updated metric data; a consulting component comprising consulting data pertaining to the standard work matrix; or an inventory management component comprising the metric data associated with the plurality of projects. ### Claim 13 (depends on 11) The system of claim 11, wherein the instructions further comprise defining the standard work matrix by: assessing historical success data comprising information on prior-executed standard works and/or standard work matrices that have been deemed successful; and identifying a historical standard work applicable to the metric data. ### Claim 14 (depends on 11) The system of claim 11, wherein the organization is a manufacturing facility, and wherein the metric data comprises one or more of: part defect codes or scrap, repair, and rework (SRR) hours. ### Claim 15 (depends on 11) The system of claim 11, wherein each of the plurality of projects is associated with a build area, and wherein identifying the five or fewer projects for the organization comprises selecting projects irrespective of build area. ### Claim 16 A system for improving execution of a standard work, the system comprising: means for providing metric data associated with a plurality of projects to a quantum computer for the quantum computer to quantify metrics for each of the plurality of projects; means for receiving quality improvement analysis from the quantum computer for the plurality of projects; means for 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; means for defining a standard work matrix for improving each of the five or fewer projects; means for providing historical data to a neural network trained to identify at least one method for improving each of the five or fewer projects based on the historical data; means for determining whether execution of the at least one method for each of the five or fewer projects meets an improvement threshold based on updated metric data; and means for advancing the standard work matrix in response to the at least one method meeting the improvement threshold. ### Claim 17 (depends on 16) The system of claim 16, further comprising means for communicating by way of an application program interface (API) with one or more of: a feedback component compiling and/or analyzing the updated metric data; a consulting component comprising consulting data pertaining to the standard work matrix; or an inventory management component comprising the metric data associated with the plurality of projects. ### Claim 18 (depends on 16) The system of claim 16, wherein the metric data and the updated metric data comprise one or more of sensor data, survey data, consumer report data, manufacturing progress data, sales data, customer review data, consultant data, part defect-code data, fault data, or self-reported success data. ### Claim 19 (depends on 16) The system of claim 16, further comprising an image sensor in communication with the system, and wherein the system further comprises: means for receiving an image of a manufactured part from the image sensor; means for providing the image to a neural network trained to identify the manufactured part within the image; and means for receiving an indication from the neural network whether the manufactured part comprises a defect. ### Claim 20 (depends on 16) The system of claim 16, further comprising: in response to receiving the indication from the neural network that the manufactured part comprises a defect, means for classifying the defect based on analysis from the neural network; means for identifying which project is associated with the manufactured part; and means for adding a defect classification code to the metric data for the project associated with the manufactured part.