Process modeling and optimization method and system
First Claim
1. A computer-implemented method for model optimization, comprising:
- obtaining respective distribution descriptions of a plurality of input parameters to a model, the model indicating interrelationships between the input parameters and one or more output parameters of a system design;
specifying respective search ranges for the plurality of input parameters;
simulating the model to determine a desired set of input parameters within the search ranges based on a zeta statistic of the model;
determining respective desired distributions of the input parameters based on the desired set of input parameters;
determining significance levels of the input parameters in interacting with the output parameters based on the simulation and on the desired distributions of the input parameters, including;
obtaining data records of the input parameters and the output parameters based on the simulation of the model;
building a multiple layer tree diagram based on the data records, the tree diagram including a trunk node representing the data records, a plurality of split points, and a plurality of layer nodes, wherein each split point corresponds to one of the input parameters and the layer nodes are coupled to the trunk node via the split points; and
determining the significance levels of the input parameters based on the order of the split points in relation to the trunk node; and
identifying, based on the significance levels of the input parameters, a parameter of the system design that has a threshold design tolerance;
presenting the determined significance levels, including;
displaying a graphical representation of the tree diagram to a user via a display device; and
outputting, via the graphical representation, a representation of the identified parameter of the system design that has the threshold design tolerance.
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Abstract
A method is provided for model optimization. The method may include obtaining respective distribution descriptions of a plurality of input parameters to a model indicative of interrelationships between the input parameters and one or more output parameters. The method may also include specifying respective search ranges for the plurality of input parameters and simulating the model to determine a desired set of input parameters based on a zeta statistic of the model. Further, the method may include determining respective desired distributions of the input parameters based on the desired set of input parameters; determining significance levels of the input parameters in interacting with the output parameter based on the simulation and the desired distributions of the input parameters; and presenting the significance levels.
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Citations
17 Claims
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1. A computer-implemented method for model optimization, comprising:
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obtaining respective distribution descriptions of a plurality of input parameters to a model, the model indicating interrelationships between the input parameters and one or more output parameters of a system design; specifying respective search ranges for the plurality of input parameters; simulating the model to determine a desired set of input parameters within the search ranges based on a zeta statistic of the model; determining respective desired distributions of the input parameters based on the desired set of input parameters; determining significance levels of the input parameters in interacting with the output parameters based on the simulation and on the desired distributions of the input parameters, including; obtaining data records of the input parameters and the output parameters based on the simulation of the model; building a multiple layer tree diagram based on the data records, the tree diagram including a trunk node representing the data records, a plurality of split points, and a plurality of layer nodes, wherein each split point corresponds to one of the input parameters and the layer nodes are coupled to the trunk node via the split points; and determining the significance levels of the input parameters based on the order of the split points in relation to the trunk node; and identifying, based on the significance levels of the input parameters, a parameter of the system design that has a threshold design tolerance; presenting the determined significance levels, including; displaying a graphical representation of the tree diagram to a user via a display device; and outputting, via the graphical representation, a representation of the identified parameter of the system design that has the threshold design tolerance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer system, comprising:
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a display device; at least one input device; and a processor configured to; obtain respective distribution descriptions of a plurality of input parameters to a model, the model indicating interrelationships between the input parameters and one or more output parameters of a system design; specify respective search ranges for the plurality of input parameters; simulate the model to determine a desired set of input parameters within the search ranges based on a zeta statistic of the model; determine respective desired distributions of the input parameters based on the desired set of input parameters; determine significance levels of the input parameters in interacting with the output parameters based on the simulation and on the desired distribution of the input parameters, including; obtaining data records of the input parameters and the output parameters based on the simulation of the model; building a multiple layer tree diagram based on the data records, the tree diagram including a trunk node representing the data records, a plurality of split points, and a plurality of layer nodes, wherein each split point corresponds to one of the input parameters and the layer nodes are coupled to the trunk node via the split points; and determining the significance levels of the input parameters based on the order of the split points in relation to the trunk node; identify an input parameter having a significance level below a significance threshold corresponding to a threshold design tolerance; and present, via a graphical user interface on the display device, an indication of the identified input parameter with the significance level below the threshold significance corresponding to the threshold design tolerance. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer-implemented method for model optimization, comprising:
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obtaining respective distribution descriptions of a plurality of input parameters to a model, the model indicating interrelationships between the input parameters and one or more output parameters of a system design; specifying respective search ranges for the plurality of input parameters; simulating the model to determine a desired set of input parameters within the search ranges based on a zeta statistic of the model; determining respective desired distributions of the input parameters based on the desired set of input parameters; determining significance levels of the input parameters in interacting with the output parameters based on the simulation and on the desired distributions of the input parameters, the determining including; obtaining data records of the input parameters and the output parameters based on the simulation of the model; building a multiple layer tree diagram based on the data records, the tree diagram including a trunk node representing the data records, a plurality of split points, and a plurality of layer nodes, wherein each split point corresponds to one of the input parameters and the layer nodes are coupled to the trunk node via the split points; and determining the significance levels of the input parameters based on the order of the split points in relation to the trunk node; determining input parameters that have significance levels below a significance threshold; modifying the search ranges of the input parameters based on the determined significance levels; and optimizing the model based on the input parameters determined to have significance levels below the significance threshold and on the modified search ranges.
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Specification