System and method for optimizing animal production

A system for generating an animal feed formulation based on utilization of nutrients received by an animal, comprising:

• 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;
• and
• 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.

A system for generating optimized values for variable inputs to an animal production system, comprising:

• a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection, wherein at least one of the animal information inputs is designated as a variable input;
• and
• 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.

A system for generating an animal feed formulation based on environmental nutrient inputs, comprising:

• a simulator engine configured 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.

A system for generating optimized values for variable inputs to an animal production system, comprising:

• a simulator engine configured to receive a plurality of animal information inputs and generate a performance projection, wherein at least one of the animal information inputs is designated as a variable input;
• and
• an enterprise supervisor engine configured to generate first and second optimized values for the at least one variable input, wherein 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.