Patents by Inventor Robert M. LAWTON

Robert M. LAWTON has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210133767
    Abstract: Techniques for qualifying a candidate supplier are presented. Such techniques may include obtaining a part produced by a candidate supplier and measuring a quantifiable property in each of a plurality of samples to obtain an empirical data set. Such techniques may also include selecting, based on the empirical data set, and fitting to the empirical data set, an appropriate linear mixed model for the quantifiable property. Such techniques may further include computing an acceptance parameter from a mean and standard deviation obtained from the appropriate linear mixed model. The acceptance parameter may include a process capability index or a tolerance interval bound. Such techniques may further include determining that the candidate supplier qualifies based on comparing the acceptance parameter to a threshold.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 6, 2021
    Applicant: The Boeing Company
    Inventors: Kelsea Cox, Lindsay L.W. Jones, Robert M. Lawton, Emily O'Connor
  • Patent number: 10928801
    Abstract: Techniques for qualifying for use in an overall manufacturing process items produced by a bulk manufacturing process that has a plurality of batch effects are presented. The techniques can include obtaining a collection of items produced by a bulk manufacturing process that has a plurality of batch effects; measuring a quantifiable property of a sample of items from the collection of items; developing a linear mixed model for the quantifiable property based on the measuring; determining a statistical process control standard deviation for the collection of items based on the linear mixed model; computing a statistical process control parameter from the statistical process control standard deviation; determining that at least a portion of the collection of items conform to the statistical process control parameter; accepting at least a portion of the collection of items; and using at least a portion of the collection of items in the overall manufacturing process.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: February 23, 2021
    Assignee: THE BOEING COMPANY
    Inventors: Lindsay L. W. Jones, Kelsea Cox, Robert M. Lawton
  • Publication number: 20200150619
    Abstract: Techniques for qualifying for use in an overall manufacturing process items produced by a bulk manufacturing process that has a plurality of batch effects are presented. The techniques can include obtaining a collection of items produced by a bulk manufacturing process that has a plurality of batch effects; measuring a quantifiable property of a sample of items from the collection of items; developing a linear mixed model for the quantifiable property based on the measuring; determining a statistical process control standard deviation for the collection of items based on the linear mixed model; computing a statistical process control parameter from the statistical process control standard deviation; determining that at least a portion of the collection of items conform to the statistical process control parameter; accepting at least a portion of the collection of items; and using at least a portion of the collection of items in the overall manufacturing process.
    Type: Application
    Filed: November 8, 2018
    Publication date: May 14, 2020
    Inventors: Lindsay L.W. Jones, Kelsea Cox, Robert M. Lawton
  • Patent number: 10628539
    Abstract: A computing system, method and computer program product dynamically manage Monte Carlo simulations. In a method, convergence criteria conditions are identified and a set of outcomes is generated following the repeated performance of one or more functions upon randomly sampled input parameter distributions. The method also determines whether the convergence criteria condition is satisfied based upon a plurality of samples. In an instance in which the convergence criteria condition is not satisfied, the method supplements the set of outcomes by repeatedly performing the one or more functions upon randomly sampled input parameter distributions. In an instance in which the convergence criteria condition is satisfied, the method determines whether the set of outcomes has been supplemented prior to satisfying the convergence criteria condition and, if the set of outcomes has not been supplemented, the size of the set of outcomes to be generated during a subsequent Monte Carlo simulation is reduced.
    Type: Grant
    Filed: October 19, 2017
    Date of Patent: April 21, 2020
    Assignee: The Boeing Company
    Inventors: Kelsea Cox, Lindsay L. Jones, Robert M. Lawton, Shelby E. Basham, Jordan S. Falk
  • Publication number: 20190121922
    Abstract: A computing system, method and computer program product dynamically manage Monte Carlo simulations. In a method, convergence criteria conditions are identified and a set of outcomes is generated following the repeated performance of one or more functions upon randomly sampled input parameter distributions. The method also determines whether the convergence criteria condition is satisfied based upon a plurality of samples. In an instance in which the convergence criteria condition is not satisfied, the method supplements the set of outcomes by repeatedly performing the one or more functions upon randomly sampled input parameter distributions. In an instance in which the convergence criteria condition is satisfied, the method determines whether the set of outcomes has been supplemented prior to satisfying the convergence criteria condition and, if the set of outcomes has not been supplemented, the size of the set of outcomes to be generated during a subsequent Monte Carlo simulation is reduced.
    Type: Application
    Filed: October 19, 2017
    Publication date: April 25, 2019
    Inventors: Kelsea COX, Lindsay L. JONES, Robert M. LAWTON, Shelby E. BASHAM, Jordan S. FALK