@inproceedings{7d15dd161ae540d3887672209587a9f9,
title = "Multi-agent modeling and simulation for petroleum supply chain",
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.",
author = "Jiang Tian and Huaglory Tianfield",
year = "2006",
month = aug,
day = "4",
doi = "10.1007/11816171_60",
language = "English",
isbn = "9783540372745",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "496--501",
booktitle = "Computational Intelligence: International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part II",
note = "International Conference on Intelligent Computing 2006, ICIC 2006 ; Conference date: 16-08-2006 Through 19-08-2006",
}