Abstract
The petroleum supply chain is an old problem with new challenges. Multi-agent system has recognized as an effective methodology for supply chain management. This paper conducts a systematic multi-agent methodology to China petroleum supply chain system, where multi-agent models are constructed, and the multi-agent system is simulated in Zeus agent platform. Particularly, the advantages of multi-agent modeling and simulation in supply chain management are addressed and demonstrated.
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© 2006 Springer-Verlag Berlin Heidelberg
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Tian, J., Tianfield, H. (2006). Multi-agent Modeling and Simulation for Petroleum Supply Chain. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_60
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DOI: https://doi.org/10.1007/978-3-540-37275-2_60
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37274-5
Online ISBN: 978-3-540-37275-2
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