Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input. The system further includes an enterprise supervisor engine configured to generate first and second optimized values for the at least one variable input. The first optimized value is generated based on an optimization criteria and the second optimized value is generated based on empirical feedback after application of the first variable input.

Abstract: A system for generating an animal feed formulation based on utilization of nutrients received by an animal. The system includes a simulator engine configured to generate a set of animal requirements based on characteristics of an animal and to generate animal feed formulation input based at least in part on a projected nutrient utilization for the animal and the set of animal requirements. The system further includes a formulator engine configured to receive the animal feed formulation input and generate an optimized animal feed formulation based on the animal feed formulation input.

Abstract: A system for generating an animal feed formulation based on environmental nutrient inputs. The system comprises a simulator engine configured to generate a set of animal requirements in view of environmental nutrients received by an animal based on characteristics of the animal and a formulator engine configured to receive the set of animal requirements and generate an optimized animal feed formulation based on the animal requirements.

Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input. The system further includes an enterprise supervisor engine configured to generate an optimized value for the at least one variable input based on an optimization criteria for at least one target output characteristic.

Abstract: A system for generating an animal feed formulation based on utilization of nutrients received by an animal. The system includes a simulator engine configured to generate a set of animal requirements based on characteristics of an animal and to generate animal feed formulation input based at least in part on a projected nutrient utilization for the animal and the set of animal requirements. The system further includes a formulator engine configured to receive the animal feed formulation input and generate an optimized animal feed formulation based on the animal feed formulation input.

Abstract: A system for generating optimized values for variable inputs to an animal production system. The system includes a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection. At least one of the animal information inputs is designated as a variable input. The system further includes an enterprise supervisor engine configured to generate first and second optimized values for the at least one variable input. The first optimized value is generated based on an optimization criteria and the second optimized value is generated based on empirical feedback after application of the first variable input.

Abstract: A system for generating an animal feed formulation based on environmental nutrient inputs. The system comprises a simulator engine configured to generate a set of animal requirements in view of environmental nutrients received by an animal based on characteristics of the animal and a formulator engine configured to receive the set of animal requirements and generate an optimized animal feed formulation based on the animal requirements.

Abstract: A system for generating an animal feed formulation based on utilization of nutrients received by an animal. The system includes a simulator engine configured to generate a set of animal requirements based on characteristics of an animal and to generate animal feed formulation input based at least in part on a projected nutrient utilization for the animal and the set of animal requirements. The system further includes a formulator engine configured to receive the animal feed formulation input and generate an optimized animal feed formulation based on the animal feed formulation input.

Abstract: A method and system for creating a customized animal feed is disclosed. The method and system include having ingredient data from more than one location, animal data, evaluation data, and optimization weighting data. The specifications for a customized feed are generated using ingredient data representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal's diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized based upon the profile data, the feed data, the evaluation data, and the optimization weighting data.

Abstract: A method and system for creating a customized animal feed is disclosed. The method and system include having ingredient data from more than one location, animal data, and representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal's diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized to fulfill the requirements of the evaluation criteria. Evaluation criteria such as (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain, are then utilized together with the feed data and animal data to provide a customized feed which has been generated based upon evaluation data which is representative of one or more of the evaluation criteria.

Abstract: A method and system for creating a customized animal feed is disclosed. The method and system include having ingredient data from more than one location, animal data, and representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal's diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized to fulfill the requirements of the evaluation criteria. Evaluation criteria such as (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain, are then utilized together with the feed data and animal data to provide a customized feed which has been generated based upon evaluation data which is representative of one or more of the evaluation criteria.

Abstract: A method and system for creating a customized animal feed includes having ingredient data from more than one location, animal data, and evaluation data. The specifications for a customized feed are generated using ingredient data representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal's diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized to fulfil the requirements of the evaluation criteria. Evaluation criteria such as (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain, are then utilized together with the feed data and animal data to provide a customized feed which has been generated based upon evaluation data which is representative of one or more of the evaluation criteria.

Abstract: A method and system for creating a customized animal feed is disclosed. The method and system include having ingredient data from more than one location, animal data, and evaluation data. The specifications for a customized feed are generated using ingredient data representative of the mix of ingredients available at one or more locations. A customized feed is generated which is designed to fulfill the nutritional requirements for the animal's diet. The nutritional requirements are derived from the animal data. Furthermore, the feed is optimized to fulfil the requirements of the evaluation criteria. Evaluation criteria such as (i) animal production rate, (ii) the cost of feed per unit animal weight gain, and (iii) the feed weight per unit animal weight gain, are then utilized together with the feed data and animal data to provide a customized feed which has been generated based upon evaluation data which is representative of one or more of the evaluation criteria.