Data processing: generic control systems or specific application – Generic control system – apparatus or process – Optimization or adaptive control
Reexamination Certificate
2006-03-07
2009-12-08
Bahta, Kidest (Department: 2123)
Data processing: generic control systems or specific application
Generic control system, apparatus or process
Optimization or adaptive control
C700S049000
Reexamination Certificate
active
07630778
ABSTRACT:
The present invention comprises a method for determining a set of fill conditions for packaged goods. More particularly the present invention comprises a method for modeling a preferred set of fill conditions for packaged goods considering relevant regulatory and cost constraints, including the steps of: obtaining a historical data set; determining a sampling manufacturing period; obtaining a variance model; selecting a variance estimation technique; and then determining a variance component set using the variance model, the estimation technique, and the historical data set. A first target can then be calculated by obtaining: a first constraint set; a first probability; a product data set; and optionally a first confidence level. The first target is then calculated utilizing the variance component set such that the likelihood under the first constraint set is at least as great as the first probability with the first confidence level, if employed. Subsequently a report related to the first target may be generated and/or displayed.
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patent: 4792913 (1988-12-01), Buckland et al.
patent: 6432361 (2002-08-01), Rothberg et al.
Valavants et al., On the Hierarchical Modeling analysis and Simulation of Flexible Manufacturing system with Extended Petri Nets, IEEE, p. 94-110.
Elder, Robert S. And H. David Muse, “An Approximate Method for Evaluating Mixed Sampling Plans”,Technometrics, Aug. 1982, pp. 207-211, vol. 24, No. 3.
Brenneman William Anthony
Bumgarner Brent Jay
Bahta Kidest
Krebs Jay A
Lewis Leonard W
The Procter & Gamble & Company
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