Dominik Bleidorn

Technische Universität Dortmund | TUD

In this work, a simulation-optimization strategy is applied to a benchmark scheduling problem from the pharmaceutical industry, as published by Kopanos, et al. (2010). The optimization is performed by a meta-heuristic using a commercial Discrete Event Simulation software as the schedule builder (simulation-optimization approach). Our work is motiva...

The complexity of modern industrial batch plants makes it nearly impossible for plant personnel and production managers to predict their future behavior accurately over longer periods of time. This contribution presents the INOSIM Foresight system for predictive decision support that employs highly accurate dynamic material flow simulation to creat...

This contribution deals with the development of a Constraint Programming (CP) model and solution strategy for a two-stage industrial formulation plant with parallel production units for crop protection chemicals. Optimal scheduling of this plant is difficult: a high number of units and operations have to be scheduled while at the same time a high d...

In unserer Fachdisziplin bezeichnen wir komplexe technische Systeme als resilient, wenn sie auch beim Auftreten innerer und äußerer Ausfälle und Störungen die angeforderten Systemleistungen aufrechterhalten. Hier sind alle Ingenieurdisziplinen und insbesondere die Automation gefragt, denn eines ist offensichtlich: Die Herausforderungen können wir n...