A moving horizon rescheduling framework for continuous nonlinear processes with disturbances

Scheduling decision-making is often calculated and implemented using unreliable or inaccurate data from process networks, therefore infeasibilities and inconsistencies in the production are expected. For improved operations, it is fundamental to minimize plant-model mismatches, in which the current state of the system is continuously updated. The moving horizon rescheduling framework proposed herein is based on a systematic bi-layer framework that simulates the closed-loop scheduling within a moving horizon approach. It handles disturbances, reduces plant-model mismatches by updating the state of the system, and provides a systematic fashion for improved rescheduling implementation. The framework can handle multiple types of problems and formulations over a wide variety of applications, and includes several modeling and solving techniques especially useful for large-scale and complex applications. We believe the methodologies and ideas addressed herein are meaningful for further development of industrial tools and software to be used within process systems engineering.