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Control-aware batch process scheduling
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DOI：10.1016/j.compchemeng.2021.107360.png)
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Batch processes are inevitably affected by disturbances. The process control system can often reject them and ensure that the final product is in spec. Nevertheless, processing times and the quality of the fi-nal product and any intermediates can fluctuate as a result. In turn, this impacts the computation and execution of production schedules. We propose a new scheduling framework that considers the effect of disturbances and the impact of process control on short-term production scheduling of batch processes. Processing time expressions are derived using historical closed-loop process operating data. Subsequently, a two-stage stochastic scheduling problem is formulated, whereby exogenous and endogenous uncertain-ties are considered at the first stage, with the exception of product demand, which is dealt with in the second stage. Two case studies are presented in detail. (c) 2021 Elsevier Ltd. All rights reserved.
Keyword:
Production scheduling
Process control
Batch processes
Integrated scheduling and control
Two-stage stochastic program
Process uncertainty
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