System for reducing transaction failure
US-12175472-B2 · Dec 24, 2024 · US
US11346751B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11346751-B1 |
| Application number | US-202117388519-A |
| Country | US |
| Kind code | B1 |
| Filing date | Jul 29, 2021 |
| Priority date | Dec 10, 2020 |
| Publication date | May 31, 2022 |
| Grant date | May 31, 2022 |
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A computing system receives a request for computer-generated likelihood(s) for candidate evaluations of an industrial product set according to a measurement system analysis (MSA). The MSA comprises tests for evaluating, according to a measurement standard, the industrial product set. The request indicates a metric set representing metric(s) each quantifying an estimate of contribution to variation in evaluating the industrial product set according to the MSA. The system generates a design comprising a respective input set for each test of the MSA. The respective input set comprises setting(s) for conducting a test of the MSA. The design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the MSA. The system (e.g., prior to the MSA) outputs, based on the metric set and the design, the computer-generated likelihood(s) for the candidate evaluations of the industrial product set according to the MSA.
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What is claimed is: 1. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause a computing system to: prior to a measurement system analysis, receive a request for one or more computer-generated likelihoods for respective candidate evaluations of an industrial product set according to the measurement system analysis, wherein the measurement system analysis comprises measurement tests for evaluating, according to a measurement standard, the industrial product set comprising one or more industrial products; wherein each measurement test of the measurement tests has a respective setting for each member of a factor set comprising one or more factors of the measurement system analysis; wherein the request indicates a metric set representing one or more metrics each quantifying, prior to the measurement system analysis, an estimate of contribution to variation in evaluating the industrial product set according to the measurement system analysis; and wherein the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set comprise one or more of: a likelihood of classification into one of multiple groups for the industrial product set according to the measurement standard; and a likelihood of going beyond a threshold related to the measurement standard; prior to the measurement system analysis, generate an input design comprising a respective input set for each respective measurement test of the measurement system analysis, wherein the respective input set comprises one or more settings for conducting the respective measurement test of the measurement system analysis; and wherein the input design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the measurement system analysis; and prior to the measurement system analysis, output, based on the metric set and the input design, the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set according to the measurement system analysis. 2. The computer-program product of claim 1 , wherein the instructions are operable to cause the computing system to output the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set by: determining an interclass correlation indicating a proportion of a total variation in operation of the industrial product set that is attributable to a member of the industrial product set; and generating, based on the interclass correlation, an Evaluating the Measurement Process (EMP) classification. 3. The computer-program product of claim 1 , wherein the instructions are operable to cause the computing system to further receive a user indication to include multiple factors in the measurement system analysis; wherein the metric set indicates an assumed variance for an interaction of one of more of the multiple factors in the measurement system analysis; and wherein the input design isolates the interaction of the one of more of the multiple factors in the measurement system analysis. 4. The computer-program product of claim 1 , wherein the instructions are operable to cause the computing system to: further receive a user indication of a restriction on generating the input design that restricts an ordering for the measurement tests in the measurement system analysis; generate the input design based on the restriction to accommodate the ordering; and output, based on the restriction, the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set according to the measurement system analysis. 5. The computer-program product of claim 4 , wherein the user indication of the restriction indicates to restrict the ordering to indicate an ordering for groups of the measurements tests for respective members of a component of a measurement system analyzed by the measurement system analysis; and wherein the instructions are operable to cause the computing system to generate the input design to indicate the groups of the measurement tests for the respective members of the component of the measurement system. 6. The computer-program product of claim 1 , wherein the measurement system analysis comprises multiple studies with replicated test conditions in each of the multiple studies; wherein the request further indicates an amount of the multiple studies of the industrial product set for the measurement system analysis; wherein the user indication of the restriction indicates a restriction to group measurement tests of a respective individual study of the multiple studies in the ordering; and wherein the instructions are operable to cause the computing system to generate the input design to indicate groups of the measurement tests grouped in the respective individual study of the multiple studies. 7. The computer-program product of claim 1 , wherein the instructions are operable to cause the computing system to: generate the input design for the measurement system analysis by including inputs for one or more blocking factors that are external to a measurement procedure according to the measurement system analysis; and output, accounting for an impact of the one or more blocking factors, the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set. 8. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause a computing system to: prior to a measurement system analysis, receive a request for one or more computer-generated likelihoods for respective candidate evaluations of an industrial product set according to the measurement system analysis, wherein the measurement system analysis comprises measurement tests for evaluating, according to a measurement standard, the industrial product set comprising one or more industrial products; wherein each measurement test of the measurement tests has a respective setting for each member of a factor set comprising one or more factors of the measurement system analysis; and wherein the request indicates a metric set representing one or more metrics each quantifying, prior to the measurement system analysis, an estimate of contribution to variation in evaluating the industrial product set according to the measurement system analysis; prior to the measurement system analysis, generate an input design comprising a respective input set for each respective measurement test of the measurement system analysis, wherein the respective input set comprises one or more settings for conducting the respective measurement test of the measurement system analysis; and wherein the input design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the measurement system analysis; receive an indication from a user to include or exclude one or more of: bias of a respective one of multiple factors in the measurement system analysis; and interaction of multiple factors in the measurement system analysis; and prior to the measurement system analysis, output, accounting for the metric set, the input design, and the indication, the one or more computer-generated likelihoods for the respective candidate evaluations of the industrial product set according to the measurement system analysis. 9. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the
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