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THE SUPPLY CHAIN TRADING AGENT COMPETITION



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THE SUPPLY CHAIN TRADING AGENT COMPETITION Raghu Arunachalam Norman M Sadeh CMU CS 04 164 September 27 2004 School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 3891 Also appears as Institute for Software Research International Technical Report CMU ISRI 04 133 and To Appear in Electronic Commerce Research Applications Journal Acknowledgements The research reported in this paper has been funded by the National Science Foundation under ITR Grant 0205435 TAC SCM is the product of a collaboration between Carnegie Mellon University s e Supply Chain Management Laboratory and the Swedish Institute of Computer Science In particular the authors would like to acknowledge the contributions of Joakim Eriksson Niclas Finne and Sverker Janson They also wish to thank all members of the new TAC SCM community for their feedback on the design of the game and their participation The authors also thank the RedAgent Team for sharing Figure 10 and 11 with them Keywords Agent based systems market game multi agent simulation procurement intelligent agents supply chain management trading agents Page 1 Abstract Supply chain management deals with the planning and coordination of bidding production sourcing and procurement activities associated with one or more products It is central to today s global economy leading to trillions of dollars in annual transactions worldwide With the emergence of electronic marketplaces it is only natural to seek automated solutions that are capable of rapidly evaluating a large number of bidding sourcing and procurement options In this paper we detail a game we have designed to promote the research and evaluation of such solutions under realistic conditions The game requires agents to manage the assembly of PCs while competing with one another both for customer orders and for key components We discuss how the game captures the complexity stochasticity and competitive nature inherent to supply chain environments A Web based multi agent



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