The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 31, 2005

Filed:

Jul. 09, 2002
Applicants:

Michael S. Hamada, Los Alamos, NM (US);

Harry F. Martz, Los Alamos, NM (US);

Jay K. Eleswarpu, West Chester, OH (US);

Michael J. Preissler, Maineville, OH (US);

Inventors:

Michael S. Hamada, Los Alamos, NM (US);

Harry F. Martz, Los Alamos, NM (US);

Jay K. Eleswarpu, West Chester, OH (US);

Michael J. Preissler, Maineville, OH (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F019/00 ;
U.S. Cl.
CPC ...
Abstract

A computer-implemented method is implemented for determining the variability of a manufacturing system having a plurality of subsystems. Each subsystem of the plurality of subsystems is characterized by signal factors, noise factors, control factors, and an output response, all having mean and variance values. Response models are then fitted to each subsystem to determine unknown coefficients for use in the response models that characterize the relationship between the signal factors, noise factors, control factors, and the corresponding output response having mean and variance values that are related to the signal factors, noise factors, and control factors. The response models for each subsystem are coupled to model the output of the manufacturing system as a whole. The coefficients of the fitted response models are randomly varied to propagate variances through the plurality of subsystems and values of signal factors and control factors are found to optimize the output of the manufacturing system to meet a specified criterion.


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