US 12,333,583 B2
Business variable optimization for manufacture or supply of designed products
James L. Jacobs, II, Rye Beach, NH (US); John E. Cronin, Bonita Springs, FL (US); Kyle W. Kulp, Burlington, VT (US); and Steven M. Lynch, Hudson, NH (US)
Filed by Desprez, LLC, New London, NH (US)
Filed on Sep. 27, 2023, as Appl. No. 18/373,595.
Application 18/373,595 is a continuation of application No. 17/331,033, filed on May 26, 2021, granted, now 11,810,161.
Application 17/331,033 is a continuation of application No. 14/928,728, filed on Oct. 30, 2015, granted, now 11,023,934, issued on Jun. 1, 2021.
Claims priority of provisional application 62/072,694, filed on Oct. 30, 2014.
Prior Publication US 2024/0054537 A1, Feb. 15, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/02 (2023.01); G06F 30/00 (2020.01); G06Q 30/0283 (2023.01); G06Q 30/0601 (2023.01); G06Q 50/04 (2012.01)
CPC G06Q 30/0283 (2013.01) [G06F 30/00 (2020.01); G06Q 30/0621 (2013.01); G06Q 30/0643 (2013.01); G06Q 50/04 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system for providing pricing for one or more instantiations of a structure defined in a three-dimensional (3D) computer model, the system comprising an electronic pricing system comprising at least a processor configured to:
automatedly determine, using the at least a processor, and display a price for a product to be supplied and initial values for a plurality of business variables associated with the price as a function of the 3D computer model, wherein automatedly determining the price for a product to be supplied and initial values for the plurality for business variables comprises:
receiving an initiation for a price request;
identifying, via an interrogator and in response to the received initiation for the price request, a discrete shape of a 3D computer model representing the product to be supplied as a function of a computer assisted design (CAD) system command; and
analyzing, via the interrogator, the identified discrete shape, wherein the analyzing comprises comparing the identified discrete shape to a manufacturing requirement and determining if the discrete shape has a uniform thickness;
receive, using the at least a processor, a parameter interrelationship information, wherein the parameter interrelationship information is determined as a function of a nonlinear indicator based on a factory or manufacturing simulation;
receive, using the at least a processor, a value for a first one of the price or one of the plurality of business variables from a user;
automatedly determine, using the at least a processor, acceptable ranges for values of at least two of the plurality of business variables as a function of the parameter interrelationship information including the nonlinear indicator and the value for the first one of the price or one of the plurality of business variables and automatedly indicate the acceptable ranges to the user; and
automatedly determine and display, using the at least a processor, updated values and an updated acceptable range for one or more of the price and the plurality of business variables.