System for optimizing drink blends
First Claim
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1. A system for optimizing blending comprising:
- a processor configured to;
receive inputs including a brix forecast, production information data on the available production resources, and data on pulp length;
generate a blending plan as a function of the inputs;
determine a liking profile for the blending plan based on consumer liking of at least one attribute of a mass produced product;
compute a liking score as a function of consumer surveys or purchase data, the liking profile correlating the liking score with the brix forecast;
generate an optimal solution for the blending plan in response to the inputs and the liking profile, the optimal solution maximizing a predicted demand and minimizing cost of the mass produced product that is blended according to the blending plan; and
cause the optimal solution for the blending plan to be used to blend the mass produced product.
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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.
180 Citations
27 Claims
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1. A system for optimizing blending comprising:
a processor configured to; receive inputs including a brix forecast, production information data on the available production resources, and data on pulp length; generate a blending plan as a function of the inputs; determine a liking profile for the blending plan based on consumer liking of at least one attribute of a mass produced product; compute a liking score as a function of consumer surveys or purchase data, the liking profile correlating the liking score with the brix forecast; generate an optimal solution for the blending plan in response to the inputs and the liking profile, the optimal solution maximizing a predicted demand and minimizing cost of the mass produced product that is blended according to the blending plan; and cause the optimal solution for the blending plan to be used to blend the mass produced product. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of optimizing blending comprising:
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receiving, by a processor, inputs including a brix forecast, production information data on the available production resources, and data on pulp length; generating, by the processor, a blending plan as a function of the inputs; determining, by the processor, a liking profile for the blending plan based on consumer liking of at least one attribute of a mass produced product; computing a liking score as a function of consumer surveys or purchase data, wherein the liking profile correlates the liking score with the brix forecast; generating, by the processor, an optimal solution for the blending plan in response to the inputs and the liking profile, the optimal solution maximizing a predicted demand and minimizing cost of the mass produced product that is blended according to the blending plan; and causing, by the processor, the optimal solution for the blending plan to be used to blend the mass produced product. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A method of optimizing blending comprising:
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receiving, by a processor, inputs including a brix forecast, data on limonin of a material, and production information data on available production resources; generating, by the processor, a blending plan as a function of the inputs; determining, by the processor, a liking profile for the blending plan based on consumer liking of at least one attribute of a mass produced product; computing a liking score as a function of consumer surveys or purchase data, wherein the liking profile correlates the liking score with the brix forecast; generating, by the processor, an optimal solution for the blending plan in response to the inputs and the liking profile, the optimal solution maximizing a predicted demand and minimizing cost of the mass produced product that is blended according to the blending plan; and causing, by the processor, the optimal solution for the blending plan to be used to blend the mass produced product. - View Dependent Claims (27)
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Specification