公开(公告)号：US10026043B2

公开(公告)日：2018-07-17

申请号：US13714569

申请日：2012-12-14

Applicant: The Coca-Cola Company

Inventor： Jon Allen Higbie, Jr. ,  David Quinton Cross ,  Douglas Alan Bippert ,  Sean Patrick Lennon ,  Seon Ah Lee ,  Timothy Allen Anglea

IPC: G06Q10/04

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.

公开(公告)号：US20140172142A1

公开(公告)日：2014-06-19

申请号：US13714605

申请日：2012-12-14

Applicant: THE COCA-COLA COMPANY

Inventor： Jon Allen Higbie, Jr. ,  David Quinton Cross ,  Douglas Alan Bippert ,  Sean Patrick Lennon ,  Seon Ah Lee ,  Timothy Allen Anglea

IPC: G06F17/50

CPC classification number: G06F17/50

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.

Abstract translation: 可以通过利用执行软件算法的计算装置来优化不浓缩消耗品如液体食品和饮料产品的混合计划。 计算设备可以接收与用于在预定时间间隔内生产消耗品的混合计划相关联的输入。 计算设备还可以对一个或多个输入中的每一个应用约束。 计算设备还可以评估包括输入和约束的数学函数中的惩罚。 然后，该功能可以使用所应用的约束和惩罚来产生优化的混合计划，这最大限度地降低与消耗品的生产相关联的成本和复杂性，同时最大限度地提高质量。