SYMMETRIC RANDOM SCATTER PROCESS FOR PROBABILISTIC MODELING SYSTEM FOR PRODUCT DESIGN
First Claim
1. A method for designing a product performed by a processor associated with a computer and comprising the steps of:
- obtaining data records relating to one or more input variables and one or more output parameters of a configuration of the product;
selecting one or more input parameters from the one or more input variables;
generating a computational model for the product configuration, the computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records;
providing a set of constraints to the computational model representative of a compliance state for the product;
using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on a symmetric random scatter process and the one or more output parameters, the symmetric random scatter process including;
obtaining initial ranges of the input parameters;
creating a plurality of model data records including at least one symmetric model data record based on the initial ranges of the input parameters;
determining a candidate set of values of the input parameters based on the plurality of model data records; and
determining the statistical distributions of the one or more input parameters based on the candidate set; and
identifying a desired range of input parameters for the product configuration based on the generated statistical distributions for the one or more input parameters.
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Accused Products
Abstract
A method is provided for designing a product. The method may include obtaining data records relating to one or more input variables and one or more output parameters associated with the product and selecting one or more input parameters from the one or more input variables. The method may also include generating a computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records and providing a set of constraints to the computational model representative of a compliance state for the product. Further the method may include using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on a symmetric random scatter process and the one or more output parameters. The one or more input parameters and the one or more output parameters represent a design for the product.
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Citations
20 Claims
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1. A method for designing a product performed by a processor associated with a computer and comprising the steps of:
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obtaining data records relating to one or more input variables and one or more output parameters of a configuration of the product; selecting one or more input parameters from the one or more input variables; generating a computational model for the product configuration, the computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records; providing a set of constraints to the computational model representative of a compliance state for the product; using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on a symmetric random scatter process and the one or more output parameters, the symmetric random scatter process including; obtaining initial ranges of the input parameters; creating a plurality of model data records including at least one symmetric model data record based on the initial ranges of the input parameters; determining a candidate set of values of the input parameters based on the plurality of model data records; and determining the statistical distributions of the one or more input parameters based on the candidate set; and identifying a desired range of input parameters for the product configuration based on the generated statistical distributions for the one or more input parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer readable storage medium storing a set of instructions for enabling a processor associated with a computer to:
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obtain data records relating to one or more input variables and one or more output parameters associated with a configuration of a product to be designed; select one or more input parameters from the one or more input variables; generate a computational model for the product configuration, the computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records; provide a set of constraints to the computational model representative of a compliance state for the product; use the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on a symmetric random scatter process and the one or more output parameters, the symmetric random scatter process including; obtaining initial ranges of the input parameters; creating a plurality of model data records including at least one symmetric model data record based on the initial ranges of the input parameters; determining a candidate set of values of the input parameters based on the plurality of model data records; and determining the statistical distributions of the one or more input parameters based on the candidate set; and identifying a desired range of input parameters for the product configuration based on the generated statistical distributions for the one or more input parameters. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A computer-based product design system, comprising:
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a database containing data records relating one or more input variables and one or more output parameters associated with a product to be designed; and a processor configured to; obtain data records relating to one or more input variables and one or more output parameters associated with a configuration of the product; select one or more input parameters from the one or more input variables; generate a computational model for the product configuration, the computation model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records; provide a set of constraints to the computational model representative of a compliance state for the product; use the computational model and the provided set of constraints to generate statistical distribution for the one or more input parameters based on a symmetric random scatter process and the one or more input parameters, the symmetric random scatter process including; obtaining initial ranges of the input parameters; creating a plurality of model data records including at least one symmetric model data record based on the initial ranges of the input parameters; determining a candidate set of values of the input parameters based on the plurality of model data records; and determining the statistical distributions of the one or more input parameters based on the candidate set; and identify a desired range of input parameters for the product configuration based on the generated statistical distributions for the one or more input parameters. - View Dependent Claims (17, 18, 19, 20)
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Specification