# US 6,725,112 B1 · Method, system and storage medium for optimizing a product design > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 6,725,112 B1 - Document ID: US6725112B1 - Status: Granted - Kind: B1 - Application number: 09/594,975 - Filed: 2000-06-15 - Granted: 2004-04-20 - Earliest claimed: 1999-10-29 - Assignees: General Electric Company - Inventors: John Kaminsky; Mandar K. Chati; Matthew F. Niemeyer; Mohamed Ahmed Ali; Rick N. Williams - Web page: https://patentgrep.com/patent/US6725112B1 ## CPC - G06Q 10/04: Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract An exemplary embodiment of the invention is a method for optimizing a product design. The method includes specifying a plurality of application parameters for the product. A plurality of predetermined factors and responses are obtained in response to the plurality of application parameters. A transfer function is obtained which relates at least one factor to at least one response. The transfer function is optimized in response to user-defined optimization criteria to generate an optimized factor and an optimized response. The optimized factor and the optimized response are then displayed. ## Claims ### Claim 1 A method for optimizing a product design, the method comprising: specifying a plurality of application parameters for the product design; obtaining a plurality of predetermined factors and a user-defined factor in response to said plurality of application parameters; obtaining a plurality of predetermined responses and a user-defined response in response to said plurality or application parameters; obtaining a transfer function relating at least one factor to at least one response; optimizing said transfer function in response to predetermined optimization criteria and user-defined optimization criteria to generate an optimized factor and an optimized response; and displaying said optimized factor and said optimized response. ### Claim 2 (depends on 1) The method of claim 1 wherein: said specifying a plurality of application parameters includes specifying a material to be used in forming the product. ### Claim 3 (depends on 1) The method of claim 1 wherein: said specifying a plurality of application parameters includes specifying a format for the product. ### Claim 4 (depends on 1) The method of claim 1 wherein: said specifying a plurality of application parameters includes specifying a machine to be used in forming the product. ### Claim 5 (depends on 1) The method of claim 1 wherein: said specifying a plurality of application parameters includes specifying a mold to be used in forming the product. ### Claim 6 (depends on 1) The method of claim 1 wherein: said obtaining a transfer function includes retrieving an archived transfer function. ### Claim 7 (depends on 1) The method of claim 1 wherein said obtaining a transfer function includes: performing a design of experiments routine to generate design of experiments data relating at least one factor to at least one response; and performing regression to generate a transfer function in response to said design of experiments data. ### Claim 8 (depends on 1) The method of claim 1 wherein: said product is optical media. ### Claim 9 (depends on 1) The method of claim 1 wherein: said optimizing said transfer function includes assigning a weight to at least one of said predetermined responses and user-defined responses. ### Claim 10 A system for optimizing a product design, the system comprising: a user interface for specifying a plurality of application parameters for the product design; an application module for obtaining a plurality of predetermined factors and a user-defined factor in response to said plurality of application parameters; said application module obtaining a plurality of predetermined responses and a user-defined response in response to said plurality of application parameters; a transfer function database containing a transfer function relating at least one factor to at least one response; an optimization modules for optimizing said transfer function in response to predetermined optimization criteria and user-defined optimization criteria to generate an optimized factor and an optimized response; and a visualization module for displaying said optimized factor and said optimized response. ### Claim 11 (depends on 10) The system of claim 10 wherein: said application parameters include a material to be used in forming the product. ### Claim 12 (depends on 10) The system of claim 10 wherein: said application parameters include a format for the product. ### Claim 13 (depends on 10) The system of claim 10 wherein: said application parameters include a machine to be used in forming the product. ### Claim 14 (depends on 10) The system of claim 10 wherein: said application parameters include a mold to be used in forming the product. ### Claim 15 (depends on 10) The system of claim 10 wherein: said product is optical media. ### Claim 16 (depends on 10) The system of claim 10 wherein: said optimizing said transfer function includes assigning a weight to at least one of said predetermined responses and user-defined responses. ### Claim 17 A storage medium encoded with machine-readable computer program code for optimizing a product design, the storage medium including instructions for causing a computer to implement a method comprising: receiving a plurality of application parameters for the product design; obtaining a plurality of predetermined factors and a user-defined factor in response to said plurality of application parameters; obtaining a plurality of predetermined responses and a user-defined response in response to said plurality of application parameters; obtaining a transfer function relating at least one factor to at least one response; optimizing said transfer function in response to predetermined optimization criteria and user-defined optimization criteria to generate an optimized factor and an optimized response; and displaying said optimized factor and said optimized response. ### Claim 18 (depends on 17) The storage medium of claim 17 wherein: said plurality of application parameters include a material to be used in forming the product. ### Claim 19 (depends on 17) The storage medium of claim 17 wherein: said plurality of application parameters include a format for the product. ### Claim 20 (depends on 17) The storage medium of claim 17 wherein: said plurality of application parameters include a machine to be used in forming the product. ### Claim 21 (depends on 17) The storage medium of claim 17 wherein: said plurality of application parameters include a mold to be used in forming the product. ### Claim 22 (depends on 17) The storage medium of claim 17 wherein: said obtaining a transfer function includes retrieving an archived transfer function. ### Claim 23 (depends on 17) The storage medium of claim 17 wherein said obtaining a transfer function includes: performing a design of experiments routine to generate design of experiments data relating at least one factor to at least one response; and performing regression to generate a transfer function in response to said design of experiments data. ### Claim 24 (depends on 17) The storage medium of claim 17 wherein: said product is optical media. ### Claim 25 (depends on 17) The storage medium of claim 17 wherein: said optimizing said transfer function includes assigning a weight to at least one of said predetermined responses and user-defined responses.