We propose a closed loop strategy to implement simultaneous scheduling and control for chemical processes subject to disturbances. Evidences from published work in the literature suggest that the integration of scheduling and control for multiproduct processes results in optimal production taking into consideration transition stages. On the basis of that, we build a closed loop implementation for simultaneous scheduling and control, which mitigates the effects of disturbances by generating new solutions once the state deviation due to disturbances is detected. To test the performance of the proposed methodology, we use two case studies, and compare their performance with that of open loop implementation. The results of the case studies verify the effectiveness of closed loop strategy in dealing with process disturbances.
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Zhuge et al. (2012) studied this question.
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