US 12,007,750 B2
Method and system for predicting process sequence for a vehicle manufacturing process
Lijun Wang, Canton, MI (US); Seema Jain, Novi, MI (US); Shanshan Qiu, Troy, MI (US); and Saumuy Puchala, Ypsilanti, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by Ford Global Technologies, LLC, Dearborn, MI (US)
Filed on Mar. 30, 2023, as Appl. No. 18/193,227.
Application 18/193,227 is a continuation of application No. 17/675,253, filed on Feb. 18, 2022, granted, now 11,644,818.
Prior Publication US 2023/0305529 A1, Sep. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 19/4155 (2006.01)
CPC G05B 19/4155 (2013.01) [G05B 2219/35135 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of predicting sequence for a manufacturing process to assemble a product, the method comprising:
obtaining a target plan for the manufacturing process, wherein the target plan defines a process segment to be performed during the manufacturing process, wherein the process segment is defined by a plurality of a process steps provided in a sequential order for performing the process segment;
retrieving a plurality of surrogate process segments based on the target plan, wherein the plurality of surrogate process segments are selected from among a plurality of historical process segments;
determining, for each surrogate process segment from the plurality of surrogate process segments, a segment similarity value based on at least one of a textual similarity and a sequence similarity between the surrogate process segment and the process segment of the target plan; and
generating a target process defining a process sequence for performing the manufacturing process based on the segment similarity values of the plurality of surrogate process segments and a sequence inference model.