10:30 Uhr
Simulation of a Factory for the Integrated Manufacturing and Remanufacturing of Batteries
Oliver Brützel | Karlsruhe Institute of Technology
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Autor:innen:
Oliver Brützel | Karlsruhe Institute of Technology
Leonard Overbeck | Karlsruhe Institute of Technology
Finn Brunnenkant | Karlsruhe Institute of Technology
Gisela Lanza | Karlsruhe Institute of Technology
The current trend of increasing usage of batteries in electro-mobility and other applications can only be ecologically and economically sustainable if the batteries are not disposed at the end of their lifecycle but re-entered into the value chain. To benefit from the economies of scale, the re-introduction of the used batteries (or their components) into the linear manufacturing system would be favourable. This poses new, complex challenges to production planning and control, which can be tackled with the help of discrete event simulation (DES). For its application in an integrated factory which includes common linear production and circular processes, new modelling and control approaches are needed. These approaches are presented in this paper, applied to a planned production system in a research environment, and used for performing experiments, which give deeper insights into the requirements and economic viability of the integrated manufacturing and remanufacturing of batteries.
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11:00 Uhr
Simulative Bestimmung der Nachfrage nach wiederaufgearbeiteten Produkten unter Berücksichtigung von Kundenpräferenzen
Sandra Huster | Karlsruhe Institute of Technology (KIT)
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Autor:innen:
Sandra Huster | Karlsruhe Institute of Technology (KIT)
Thomas Unterladstätter | Karlsruhe Institute of Technology (KIT)
Sonja Rosenberg | Karlsruhe Institute of Technology (KIT)
Andreas Rudi | Karlsruhe Institute of Technology (KIT)
Frank Schultmann | Karlsruhe Institute of Technology (KIT)
The remanufacturing industry as a whole is expanding. However, it is unknown how it will evolve for particular products. We propose a simulation model for estimating the demand for remanufactured products as well as the supply of used products for remanufacturing at the same time. The estimation is based on the material flow of a two-component product with distributed component lifetimes, the remanufactured product's attributes, and the preferences of potential purchasers. The model, which blends discrete event and agent-based simulation, is used to model electric vehicles and their traction batteries. After a battery fails, automobile owners must decide whether to purchase a new or remanufactured battery or to replace the vehicle. The model's attributes are proven by altering the properties of remanufactured batteries and observing the effects on customer preferences.
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