Abstract
This paper introduces an approach for highly efficient simulation of supply networks. The approach is based on a combination of artificial intelligence and continuous simulation concepts. It is motivated by project requirements from various Supply Chain Management projects in the automotive industry. From artificial intelligence, the concept of agent-based modelling is adopted. From continuous simulation, the approach of time-step based development of state-space models is borrowed. Combined and enriched with features for mapping specific processes in automotive industry, these concepts yielded in a highly efficient supply network simulation approach which was successfully used in several business applications and research projects. The Supply Net Simulator SNS will be introduced by presenting its basic concept, software architecture, and some application examples.
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Stäblein, T., Baumgärtel, H., Wilke, J. (2007). The Supply Net Simulator SNS: An Artificial Intelligence Approach for Highly Efficient Supply Network Simulation. In: Günther, HO., Mattfeld, D.C., Suhl, L. (eds) Management logistischer Netzwerke. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1921-2_5
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DOI: https://doi.org/10.1007/978-3-7908-1921-2_5
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