30 citations · 31 across the 4 of their papers we have counts for
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An adaptive discretization algorithm for locally optimal experimental design with constraints
Jochen Schmid, Philipp Seufert, Jan Schwientek +2
We develop a novel iterative algorithm for locally optimal experimental design under constraints, like budget or performance constraints. It is an adaptive discretization algorithm…
On Computing and Pricing of Adjustable Robust Chemical Process Designs
Jan Schwientek, Katrin Teichert, Jan Schröder +6
Model-based process simulation can be used to derive designs and operating conditions of chemical processes that optimally balance multiple objectives, such as quality, costs, or e…
Pareto-optimal treatment of uncertainties in model-based process design and operation
Jan Schwientek, Katrin Teichert, Jan Schröder +5
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 h…
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
Charlie Vanaret, Philipp Seufert, Jan Schwientek +5
Model-based experimental design is attracting increasing attention in chemical process engineering. Typically, an iterative procedure is pursued: an approximate model is devised, p…