Publisher DOI: 10.1109/WSC.2017.8248065
Title: On agent-based modeling in semiconductor supply chain planning
Language: English
Authors: Achter, Sebastian 
Lorscheid, Iris 
Hauke, Jonas 
Meyer, Matthias 
Meyer-Riehl, David 
Ponsignon, Thomas 
Sun, Can 
Ehm, Hans 
Issue Date: 4-Jan-2018
Source: Proceedings - Winter Simulation Conference : 3507-3518 (2018-01-04)
Journal or Series Name: Proceedings - Winter Simulation Conference 
Abstract (english): Supply chain (SC) planning in the semiconductor industry is challenged by high uncertainties on the demand side as well as a complex manufacturing process with non-deterministic failure modes on the production side. Understanding the complex interdependencies and processes of a SC is essential to realize opportunities and mitigate risks. However, this understanding is not easy to achieve due to the complexity of the processes and the non-deterministic human behavior determining SC planning performance. Our paper argues for an agent-based approach to understand and improve SC planning processes using an industry example. We give an overview of current work and elaborate on the need for integrating human behavior into the models. Overall, we conclude that agent-based simulation is a valuable method to identify favorable and unfavorable conditions for successful planning.
URI: http://hdl.handle.net/11420/2719
ISBN: 978-153863428-8
ISSN: 0891-7736
Institute: Controlling und Simulation W-1 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
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