US 2024/0201670 A1 · APPARATUSES, COMPUTER-IMPLEMENTED METHODS, AND COMPUTER PROGRAM PRODUCTS FOR CLOSED LOOP OPTIMAL PLANNING AND SCHEDULING UNDER UNCERTAINTY

Abstract

Embodiments of the present disclosure provide for improved optimized plan predictions. Such embodiments, utilize optimized model(s) that accounts for uncertainty in input data to the model. Some example embodiments, receive input data associated with one or more industrial plants. At least a portion of the input data may include uncertain input data. The noted example embodiments, generate uncertainty-based modification data, and apply the uncertainty-based modification data to the input data to generate updated input data. The noted example embodiments generate, based at least in part on applying the updated input data to an optimization model, predicted optimized plan. The predicted optimized plan comprises optimized plan data. Further, the noted example embodiments initiate the performance of one or more prediction-based actions based at least in part on the predicted optimized plan.

Claims20

Dependent claims

A computer-implemented method for generating an optimized plan with respect to a target comprising:

receiving, using one or more processors, input data associated with one or more industrial plants, wherein at least a portion of the input data comprises uncertain input data;
generating, using the one or more processors, uncertainty-based modification data;
applying at least the uncertainty-based modification data to the input data to generate updated input data;
generating, using the one or more processors and based at least in part on applying the updated input data to an optimization model, predicted optimized plan comprising optimized plan data;
and
initiating. using the one or more processors, the performance of one or more prediction-based actions based at least in part on the predicted optimized plan.

3 more elements

An apparatus for generating an optimized plan with respect to a target, the apparatus comprising at least one processor and at least one non-transitory memory including computer-coded instructions thereon, the computer coded instructions, with the at least one processor, cause the apparatus to:

receive input data associated with one or more industrial plants, wherein at least a portion of the input data comprises uncertain input data;
generate uncertainty-based modification data;
apply at least the uncertainty-based modification data to the input data to generate updated input data;
generate, based at least in part on applying the updated input data to an optimization model. predicted optimized plan comprising optimized plan data;
and
initiate the performance of one or more prediction-based actions based at least in part on the predicted optimized plan.

3 more elements

A computer program product generating an optimized plan with respect to a target, the computer program product comprising at least one non-transitory computer-readable storage medium having computer program code stored thereon that, in execution with at least one processor, configures the computer program product for:

receiving input data associated with one or more industrial plants, wherein at least a portion of the input data comprises uncertain input data:
generating uncertainty-based modification data:
applying at least the uncertainty-based modification data to the input data to generate updated input data;
generating, based at least in part on applying the updated input data to an optimization model. predicted optimized plan comprising optimized plan data:
and
initiating the performance of one or more prediction-based actions based at least in part on the predicted optimized plan.

3 more elements

Dependencies are inferred from the claim text.

Apparatuses, computer-implemented methods, and computer program products for closed loop optimal planning and scheduling under uncertainty

Life of this patent

Apparatuses, computer-implemented methods, and computer program products for closed loop optimal planning and scheduling under uncertainty

Life of this patent

Abstract

Claims20