David N Cross

US Patent:

8626327, Jan 7, 2014

Filed:

Nov 5, 2010

Appl. No.:

12/940173

Inventors:

Douglas A. Bippert - Marietta GA, US
Sherri Lynn Hutter - Decatur GA, US
Timothy A. Anglea - Windermere FL, US
David Quinton Cross - Atlanta GA, US
Seonah Lee - Atlanta GA, US
Sean Patrick Lennon - Smyrna GA, US

Assignee:

The Coca-Cola Company - Atlanta GA

International Classification:

G06F 19/00
G06Q 30/00
G06Q 30/02
G06Q 10/06

US Classification:

700100, 700 95, 705 735, 705 734, 705 732, 705 736, 705 733

Abstract:

A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

US Patent:

8626564, Jan 7, 2014

Filed:

Nov 5, 2010

Appl. No.:

12/940222

Inventors:

Douglas A. Bippert - Marietta GA, US
Timothy A. Anglea - Windermere FL, US
David Quinton Cross - Atlanta GA, US
Seonah Lee - Atlanta GA, US
Sean Patrick Lennon - Smyrna GA, US

Assignee:

The Coca-Cola Company - Atlanta GA

International Classification:

G06Q 10/00

US Classification:

705 731

Abstract:

A system for simulating drink production. The system can include a processor configured to aggregate existing material information, receive predicted material information, aggregate production information, receive timing information of at least one drink product, model consumer liking of the at least one drink product, and determine a production plan based on the existing material information, the predicted material information, the production information, the timing information and the consumer liking. The existing material information can be associated with a beverage input of at least one drink product. The predicted material information can be associated with the beverage input of the at least one drink product. The production information is associated with production resources of the at least one drink product.

US Patent:

20120116565, May 10, 2012

Filed:

Nov 5, 2010

Appl. No.:

12/940205

Inventors:

Douglas A. Bippert - Marietta GA, US
Sherri Lynn Hutter - Decatur GA, US
Timothy A. Anglea - Windermere FL, US
David Quinton Cross - Atlanta GA, US
Seonah Lee - Atlanta GA, US
Sean Patrick Lennon - Smyma GA, US

Assignee:

The Coca-Cola Company - Atlanta GA

International Classification:

G06F 19/00

US Classification:

700103

Abstract:

A system for managing an agricultural commodity based production system. The system can include a processor configured to aggregate material information, aggregate production information, receive production limits, receive product limits, and at least one of maximize or minimize a parameter of a product lineup including the at least one product based on the aggregate material information, the production information, the production limits; and the product limits. The material information can include quantity information, availability information, and quality information. The material information can be variable. The production information is associated with production resources of the at least one product. The production limits can establish operating tolerances of the production resources. The product limits can establish valid product configurations of at least one product.

US Patent:

20120116841, May 10, 2012

Filed:

Nov 5, 2010

Appl. No.:

12/940182

Inventors:

Douglas A. Bippert - Marietta GA, US
David Quinton Cross - Atlanta GA, US

Assignee:

The Coca-Cola Company - Atlanta GA

International Classification:

G06Q 10/00

US Classification:

705 731

Abstract:

A system for modeling supply and demand. The system can include a processor configured to aggregate material information, determine a product lineup based on the aggregate material information, and determine a consumer demand based on a consumer liking of the product lineup. The material information can include quantity information, availability information, and quality information. The material information can be variable.

US Patent:

20210325853, Oct 21, 2021

Filed:

Jun 29, 2021

Appl. No.:

17/362622

Inventors:

- Atlanta GA, US
Sherri Lynn Hutter - Decatur GA, US
Timothy A. Anglea - Windermere FL, US
David Quinton Cross - Atlanta GA, US
Seonah Lee - Atlanta GA, US
Sean Patrick Lennon - Smyrna GA, US

Assignee:

The Coca-Cola Company - Atlanta GA

International Classification:

G05B 19/418
G06Q 10/06
G06Q 30/02

Abstract:

A system for optimizing blending for mass production produced products. The system may include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

US Patent:

20190346831, Nov 14, 2019

Filed:

Apr 16, 2019

Appl. No.:

16/386059

Inventors:

- Atlanta GA, US
Sherri Lynn Hutter - Decatur GA, US
Timothy A. Anglea - Windermere FL, US
David Quinton Cross - Atlanta GA, US
Seonah Lee - Atlanta GA, US
Sean Patrick Lennon - Smyrna GA, US

International Classification:

G05B 19/418
G06Q 30/02
G06Q 10/06

Abstract:

A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

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.