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.

调度决策通常是使用来自过程网络的不可靠或不准确的数据计算和实施的，因此预计生产中会出现不可行和不一致的情况。为了改进操作，最大限度地减少工厂模型不匹配是至关重要的，其中系统的当前状态会不断更新。此处提出的移动视界重新调度框架基于系统的双层框架，该框架模拟移动视界方法内的闭环调度。它处理干扰，通过更新系统状态来减少工厂模型的不匹配，并为改进的重新调度实施提供系统化的方式。该框架可以在各种应用程序中处理多种类型的问题和公式，并包括多种建模和求解技术，特别适用于大规模和复杂的应用程序。我们相信，这里讨论的方法和想法对于进一步开发用于过程系统工程的工业工具和软件是有意义的。