Jerzy W Skowronski

US Patent:

20070208436, Sep 6, 2007

Filed:

Nov 30, 2006

Appl. No.:

11/565509

Inventors:

Suvajit Das - Atlanta GA, US
Thierry Cresson - Roswell GA, US
Jerzy Skowronski - Florence SC, US
Randy Hempel - Ellicott City MD, US
Steve Yang - Reisterstown MD, US
Brian Rutledge - Eldersburg MD, US
Ebi Elaahi - New City NY, US
Bryan Miller - Ashburn VA, US

Assignee:

Millennium Inorganic Chemicals - Hunt Valley MD

International Classification:

G05B 13/02

US Classification:

700044000

Abstract:

An integrated multi-step computer-implemented system and method for measuring and improving manufacturing processes and maximizing product research and development speed and efficiency includes a predictive model that predicts output from data input, an optimizer that optimizes input variables based upon desired output variables, and a library that stores data and information. The system further includes an artificial intelligence that receives requests and information from manufacturers and customers, and directs the requests and information to the predictive model if an output prediction is requested, to the optimizer if an optimized input is requested, or to the library if the requests cannot be answered by the predictive model or optimizer. The predictive model, the optimizer, and the library all interconnect with the artificial intelligence. The system further includes a high-throughput screening system that analyzes various material combinations and sends data to the library.

US Patent:

20050228511, Oct 13, 2005

Filed:

Jan 15, 2003

Appl. No.:

10/501561

Inventors:

Suvajit Das - Atlanta GA, US
Thierry Cresson - Roswell GA, US
Jerzy Skowronski - Florence SC, US
Randy Hempel - Ellicott City MD, US
Steve Yang - Reisterstown MD, US
Brian Rutledge - Eldersburg MD, US
Ebi Elaahi - New City NY, US
Bryan Miller - Ashburn VA, US

International Classification:

G05B013/02
G06F019/00

US Classification:

700028000, 700047000, 700096000, 700108000

Abstract:

An integrated multi-step computer-implemented system and method for measuring and improving manufacturing processes and maximizing product research and development speed and efficiency is disclosed. The system includes a predictive model that predicts output from data input, an optimizer that optimizes input variables based upon desired output variables, and a library that stores data and information. The system further includes an artificial intelligence that receives requests and information from manufacturers and customers, and directs the requests and information to the predictive model if an output prediction is requested, to the optimizer if an optimized input is requested, or to the library if the requests cannot be answered by the predictive model or optimizer. The predictive model, the optimizer, and the library all interconnect with the artificial intelligence. The system further includes a high-throughput screening system that analyzes various material combinations and sends data to the library.