System level analysis and control of manufacturing process...

Data processing: generic control systems or specific application – Specific application – apparatus or process – Product assembly or manufacturing

Reexamination Certificate

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C700S029000, C700S031000

Reexamination Certificate

active

06901308

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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DiCiccio et al., “Computing Bayes Factors By Combining Simulation And Asymptotic Aproximations”, ) May 23, 1996,.*
Kass et al., “Markov Chain Monte Carlo in Practice: A Roundtable Discussion”, Feb. 1997.

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