Prof. Jürgen Pannek
Bremer Institut für Produktion und Logistik
Tuesday 2016-08-30 16:30
Room 2.268 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen
As the potential of embedded control systems appears to be reached for many applications, information and communication technology (ICT) offers new possibilities to extend the potential of single applications in networks. Within the scope of Industrie 4.0 and Industrial Internet of Things, embedded systems have been opened up to cyber-physical systems (CPS), which allow for both governed and coordinated concepts of control. Until now, most of these ideas were applied in scenarios within one company or between competitors leading to cooperative and non cooperative control schemes. Within this presentation, we show how Model Predictive Control (MPC) can be used as a holistic approach on operational, tactical and strategic level. We illustrate these by examples from distributed material flow systems in in-house logistics, reconfigurable machine tools in job shop systems and human robot collaboration in manufacturing on operational level, the amazon problem in last mile transport as well as perishable goods in transocean transport on tactical level, and decision support in transport and manufacturing on strategic level. To conclude and extend the ideas and possibilities offered by MPC, ICT and CPS, we last show an application where the economical players are even from different industrial sectors. In particular, we show how mobility and energy networks can be combined to allow for synergies for both industrial sectors.
Jürgen Pannek received his Diplom in Mathematical Economics and PhD in Mathematics from the University of Bayreuth in 2005 and 2009 respectively. Thereafter, he worked as a PostDoc researcher in the Business School at Curtin University of Technology in Perth and the Department of Aerospace Engineering at University of the Federal Armed Forces Munich. From 2014, he joined the Department of Production Engineering at University of Bremen, where he is the head of the research Group Dynamics in Logistics. Within his research, he concentrates on model predictive control, cyber-physical systems and optimization and coordination in logistics.