(373as) On the Interaction and Integration of Production Planning and (Advanced) Process Control
In this presentation, we focus on the integration of production planning and advanced process control (represented by the ubiquitous MPC paradigm). We reveal the impact of controller performance on the implementation of production plans. Then, we introduce a new planning framework that accounts for the presence and behavior of process control systems on process performance. We rely on historical closed-loop process performance to define more realistic production targets, reducing the economic gap between planning predictions and actual production. We formulate the planning problem as an optimization problem under uncertainty, demonstrating however that the computational overhead compared to the nominal case is low.
A non-isothermal CSTR-Separator system is used to illustrate the algorithm performance. Different periodic disturbances are used to illustrate the impact that process control has on actual process economic performance. In all cases, the new formulation not only demonstrates reduction of economic gap between profit anticipated in production planning and actual production by the process of more than 50%, but also improves realized process profit compared to the nominal case.
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