The Boeing Company

Kelsea Cox

Robert Michael Lawton

Lindsay L W Jones

Lindsay L Jones

David E Hall

Richard Joel Thompson

Dwaine K Coates

Sharon Filipowski Arroyo

James Michael Milstead

Laura Sumi Kang

Joseph P Simonis

Brittan A Farmer

Vincent O Dominguez

Lindsay Leigh Waite Jones

Roger Keith Bolton

Ivan V Kwok

Emily O'Connor

Caroline M Kerfonta

Marcus A Bakke

E-June Chen

Shelby E Basham

David L Carlson

Jordan S Falk

Curtis A Armstrong

A device includes one or more processors configured to generate simulation data by providing first sets of first values of first input parameters to a simulation of a physical system. The processors are configured to develop at least one surrogate model based on the simulation data, and to select second input parameters from the first input parameters based on the at least one surrogate model. A count of the second input parameters is less than a count of the first input parameters. The processors are configured to generate second simulation data by providing second sets of second values of the second input parameters to the simulation. The processors are configured to develop at least a second surrogate model based on the second simulation data.

Physical system simulation

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.

Qualification of second-source raw materials in the presence of multiple batch effects

A method, system, and apparatus for a rivet measurement system for non-destructive testing measurements comprising a first measurement apparatus, a second measurement apparatus and a rivet analyzer. The first measurement apparatus acquires non-destructive testing measurements for sample production grade rivets of a particular class installed in a production vehicle structure. The second measurement apparatus acquires destructive testing measurements for the sample production grade rivets of the particular class. The rivet analyzer creates a statistical model representing a relationship between the non-destructive testing measurements and destructive testing measurements of the production grade rivets and to acquire the non-destructive testing measurements for the button height and the button diameter for additional production grade rivets, predict rivet button concentricity from the non-destructive testing measurements for the button height and the button diameter using the statistical model and determine whether the additional production grade rivets installed in the production vehicle structure are acceptable.

Rivet measurement system

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.

Manufacturing statistical process control in the presence of multiple batch effects

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.

Computing system and method for dynamically managing monte carlo simulations

A system and method for determining an optimum geographic location using a system of systems. A Design of Experiments is conducted for a particular system of systems architecture using a simulation engine based upon a predefined set of inputs, and Response Surface Models (RSMs) are generated based on the results. The RSMs are evaluated to determine candidate points to minimize or maximize the desired response(s). A candidate geographic location point is set, and one or more truth runs are performed for values in a set of defined second level values. The RSMs are updated based on such truth runs. The process of optimizing, performing a truth run and updating is repeated until the optimal value of the selected variable converges toward a global minimum or maximum, or a predetermined threshold number of iterations is exhausted. The optimum geographic location is designated as the final candidate geographic location point.

System and method for location optimization for BDMS

Systems, computer readable media, and method concern determining operational parameters of an inventory of components to be included in a battery. The method further includes determining an initial working solution for a battery design layout for the battery. The method also includes determining, based on the initial working solution, one or more possible solutions for the battery design layout utilizing a local search algorithm. The local search algorithm iteratively generates the one or more possible solutions from the initial working solution by swapping components from one or more components assigned to locations in the battery design layout with at least one of other components assigned to locations in the battery design layout and other components remaining in the inventory. The swapping of components is limited by a tabu list.

Systems and methods for optimizing battery designs

Systems, computer readable media, and method concern determining operational parameters of an inventory of components to be included in a battery. The components can include storage components and electrical components. The method includes generating a system of equations that describe suitable combinations of components in locations in a battery design layout for the battery, the system of equations being generated based at least partially on rules and constraints, and includes analyzing the system of equations using integer optimization. The integer optimization can optimizes, based at least partially on the operational parameters, one or more objective functions in the system of equations to determine at least one solution for the battery design layout, and the at least one solution can include a set of the components for the locations in the battery design layout for the battery. The method includes providing, via an interface, the at least one solution.

Systems and methods for optimizing component placement in a battery design

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Harvest, AL, United States of America

Kelsea Cox