16:30 Uhr
Integration von Simulation und Reinforcement Learning zur Portalrobotersteuerung
Robert Miltenberger | University of applied sciences Darmstadt
Markus Hochhaus | SimPlan AG
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Autor:innen:
Robert Miltenberger | University of applied sciences Darmstadt
Horst Zisgen | University of applied sciences Darmstadt
Markus Hochhaus | SimPlan AG
Jürgen Schmidtpott | SimPlan AG
Boris Bind | Fibro Läpple Technology GmbH
Industry 4.0 brings on one side a lot of new opportunities and on the other side numerous challenges, e.g. the autonomous interaction of machines and transportation vehicles. Simulation combined with methods of the Artificial Intelligence (AI), like reinforcement learning (RL), are a cornerstone of the enablement of this required autonomy. This paper deals with the cooperation of simulation and RL in order to enable an autonomous control of gantry robots. It presents an adequate architecture for the interaction of simulation and RL-agents and discusses the specific requirements this interaction has to meet in order to get RL-agents trained in the context of gantry robot control. Further, trained RL-agents, controlling gantry robots with different gripper types, and their performance are presented.
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17:00 Uhr
Fallbeispiele aus Produktion und Logistik für die Verknüpfung von Simulation und Process-Mining
Gottfried Mayer | BMW AG
Sven Spieckermann | SimPlan AG
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Autor:innen:
Gottfried Mayer | BMW AG
Felix Özkul | Universität Kassel
Sven Spieckermann | SimPlan AG
Niklas Stöhr | Simplan AG
Sigrid Wenzel | Universität Kassel
This paper provides an overview on two approaches to combine process-mining and discrete-event simulation in manufacturing and logistics for mutual benefit. One approach focuses on generating simulation models based on process models, while the other approach utilizes process models to validate existing simulation models. Both approaches are explained on a conceptual and technical level. In addition, two real-world use cases from the field of intralogistics and from battery cell assembly are presented. Initial experiences and lessons learned from applying the approaches to the use cases are discussed. The findings illustrate the potential and the limitations of the explored combinations.
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