Pareto‐Optimal Treatment of Uncertainties in Model‐Based Process Design and Operation

Model‐based process design and operation involves here‐and‐now and wait‐and‐see decisions. Here‐and‐now decisions include design variables like the size of heat exchangers or the height of distillation columns, whereas wait‐and‐see decisions are directed towards operational variables like reflux and split ratios. In this contribution, we describe how to deal with these different types of decisions in a multicriteria framework, offering an adjustability for the wait‐and‐see variables while at the same time respecting optimality guarantees on process key performance indicators (KPIs).