System and method for dynamic multi-objective optimization of machine selection, integration and utilization

A non-transitory machine readable storage medium having stored thereon machine-executable instructions that, in response to execution, cause a system including at least one processor to perform operations, comprising:

• constructing an energy-supply model for a production facility based on variable costs associated with a plurality of energy-generating assets included within the production facility, wherein the variable costs include a cost associated with exceeding a threshold environmental emission;
• building an energy-demand model for the production facility based on at least one of a sub-model of production, a user defined time horizon, or a predicted energy demand;
• and
• combining the energy-supply model and the energy-demand model to create an energy optimization model for the production facility, wherein the energy-demand model evolves over time without external input and includes a state transition link that indicates a cost, a risk, and a relative probability associated with transitioning from a first state to a second state, and wherein the energy optimization model is created as a function of an interdependency between energy data representing an energy usage of the production facility, energy cost data representing an energy cost incurred by the production facility, revenue data representing a revenue generated by the production facility, product throughput data representing a product throughput of the production facility, machine life cycle cost data representing a machine life cycle cost, and machine longevity data representing a machine longevity;
• and
• controlling, based on the energy optimization model, at least one industrial machine.

A method operable in an industrial automation environment, comprising:

• constructing, by a system including at least one processor, an energy-supply model as a function of variable costs associated with a plurality of energy-generating assets included within a production facility, wherein the energy-supply model is a prediction of a defined capacity of the plurality of energy-generating assets, the energy-supply model runs in parallel with an actual operation of the plurality of energy-generating assets, and at least one deviation between the defined capacity and the actual operation are used to identify a prospective failure associated with one of the plurality of energy-generating assets;
• building, by the system, an energy-demand model as a function of at least one of a sub-model of production, a user defined time horizon, or a predicted energy demand;
• and
• combining, by the system, the energy-supply model and the energy-demand model to create an energy optimization model for the production facility as a function of a reduction of environmental emissions associated with the production facility and a correlation between energy usage data representing an energy usage of the production facility, energy cost data representing an energy cost incurred by the production facility, revenue data representing a revenue generated by the production facility, throughput data representing a product throughput by the production facility, life cycle cost data representing a machine life cycle cost, and longevity data representing a machine longevity;
• and
• controlling, based on the energy optimization model, at least one industrial machine.