US 12,481,803 B2
Genetic optimization techniques for designing manufacturing facilities
Damon Lau, New York, NY (US); David Benjamin, Brooklyn, NY (US); James Stoddart, Atlanta, GA (US); Lorenzo Villaggi, Brooklyn, NY (US); and Dale Zhao, New York, NY (US)
Assigned to AUTODESK, INC., San Francisco, CA (US)
Filed by AUTODESK, INC., San Francisco, CA (US)
Filed on Apr. 1, 2021, as Appl. No. 17/220,803.
Prior Publication US 2022/0318445 A1, Oct. 6, 2022
Int. Cl. G06F 30/17 (2020.01); G06F 30/13 (2020.01); G06F 30/20 (2020.01); G06F 119/12 (2020.01)
CPC G06F 30/17 (2020.01) [G06F 30/13 (2020.01); G06F 30/20 (2020.01); G06F 2119/12 (2020.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for designing a manufacturing facility, the method comprising:
parsing a computer-aided design (CAD) model of the manufacturing facility to identify one or more geometric constraints associated with the manufacturing facility;
parsing metadata associated with the manufacturing facility to identify one or more manufacturing constraints associated with the manufacturing facility that are subsequently used to generate at least one design for the manufacturing facility;
generating a first design for the manufacturing facility based on the one or more geometric constraints and the one or more manufacturing constraints;
generating a second design for the manufacturing facility based on the one or more geometric constraints and the one or more manufacturing constraints;
performing one or more operations on the first design and the second design based on a crossover operator that operates on discrete parameters to generate a third design for the manufacturing facility; and
automatically evaluating the third design based on at least one of a travel distance, a congestion level, or a number of turns associated with one or more paths traversed by one or more manufacturing components during transit between one or more loading docks and one or more workstations in the manufacturing facility.