Seon Kang Lee

US Patent:

20140170273, Jun 19, 2014

Filed:

Dec 14, 2012

Appl. No.:

13/714569

Inventors:

- Atlanta GA, US
David Quinton Cross - Atlanta GA, US
Douglas Alan Bippert - Marietta GA, US
Sean Patrick Lennon - Atlanta GA, US
Seon Ah Lee - Atlanta GA, US
TImothy Allen Anglea - Windermere FL, US

Assignee:

THE COCA-COLA COMPANY - Atlanta GA

International Classification:

B01F 15/00

US Classification:

426231, 700103

Abstract:

A blending plan for concentrated consumable products, such as liquid food and beverage products, may be optimized by utilizing a computer device executing a software algorithm. The computing device receives one or more inputs associated with the blending of various components employed in producing quantities of a concentrated consumable product over a predetermined time interval. The computing device may be further utilized to apply constraints to each of the one or more inputs. The constraints may be utilized to enforce quality, raw material and component bounds, supply and demand requirements, product and component supply balance, capacity limitations and business rules in order to minimize costs and complexity associated with the production of a concentrated consumable product while maximizing quality, thereby optimizing the blending plan.

US Patent:

20140172142, Jun 19, 2014

Filed:

Dec 14, 2012

Appl. No.:

13/714605

Inventors:

- Atlanta GA, US
David Quinton Cross - Atlanta GA, US
Douglas Alan Bippert - Marietta GA, US
Sean Patrick Lennon - Atlanta GA, US
Seon Ah Lee - Atlanta GA, US
Timothy Allen Anglea - Windermere FL, US

Assignee:

THE COCA-COLA COMPANY - Atlanta GA

International Classification:

G06F 17/50

US Classification:

700103

Abstract:

A blending plan for not-from-concentrate consumable products, such as liquid food and beverage products, may be optimized by utilizing a computing device executing a software algorithm. The computing device may receive inputs associated with a blending plan for the production of a consumable product over a predetermined time interval. The computing device may further apply constraints to each of the one or more inputs. The computing device may further assess penalties in a mathematical function which includes the inputs and the constraints. The function may then generate an optimized blending plan, using the applied constraints and the penalties, which minimizes costs and complexity associated with the production of the consumable product while maximizing quality.