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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-37275-2_60
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37274-5
Online ISBN: 978-3-540-37275-2
eBook Packages: Computer ScienceComputer Science (R0)