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ABSTRACT
The Supply Chain Management game presents a challenging manufacturing scenario where agents compete for customer demand and supplies needed to produce the demanded products. The entry of North Carolina State University, PackaTAC, is a relatively simple agent that plays a conservative, low-risk strategy. Its aim is to never bid on more orders than it can handle, while maintaining low inventory levels and aspiring to full factory utilization. The agent relies on the fact that it will have ten opportunities to win contracts for a given production day, and constantly adjusts its profit margins to track the market prices. Its low risk approach was chosen to combat the mutually destructive strategies that were emerging during the qualifying rounds. Despite PackaTAC's simple approach, it performed quite well in the 2003 competition held at the International Joint Conference on Artificial Intelligence in Acapulco.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 7
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Wolfgang Ketter , John Collins , Maria Gini , Paul Schrater , Alok Gupta, A predictive empirical model for pricing and resource allocation decisions, Proceedings of the ninth international conference on Electronic commerce, August 19-22, 2007, Minneapolis, MN, USA
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Wolfgang Ketter , Elena Kryzhnyaya , Steven Damer , Colin McMillen , Amrudin Agovic , John Collins , Maria Gini, MinneTAC Sales Strategies for Supply Chain TAC, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, p.1372-1373, July 19-23, 2004, New York, New York
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