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:
Dec. 31, 2024

Filed:

Mar. 30, 2018
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Gail L. Bohnhoff-Hlavacek, Seattle, WA (US);

Brent Louis Hadley, Kent, WA (US);

Patrick Jan Eames, Newcastle, WA (US);

Robert James Martin, Seattle, WA (US);

Joseph Frank Floyd, University Place, WA (US);

Chul Young Park, Snohomish, WA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); B33Y 50/00 (2015.01); G06F 16/25 (2019.01); G06F 30/00 (2020.01); G06N 5/048 (2023.01);
U.S. Cl.
CPC ...
G06N 5/048 (2013.01); B33Y 50/00 (2014.12); G06F 16/2457 (2019.01); G06F 16/252 (2019.01); G06F 30/00 (2020.01);
Abstract

A system for evaluating a measure of appropriateness of additive manufacturing (AM) to manufacture a vehicle part of a vehicle is provided. The system includes a plurality of data source importers to import a plurality of datasets from a plurality of data sources to a data collection system with a composite dataset including data of the plurality of datasets. The system also includes a dataset manager system (DMS) to manage the data collection system. The system further includes a client application coupled to the DMS. The client application receives a user request for the measure of appropriateness of AM to manufacture the vehicle part of the vehicle during a lifecycle of the vehicle. In response to the user request, the client application produces the measure of appropriateness using an evaluation of a plurality of assessments on the data retrieved from the composite dataset.


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