Machine learning and computer-based generation of standard work matrices for improving execution of a standard work

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.

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.