Trading Agent Competition: Supply Chain Management
Traditionally, supply chain management practices have been static: Firms, like Dell, tend to rely on long-term relationships with key trading partners, like Microsoft. Market efficiency would surely increase if more dynamic supply chains were in place instead, giving firms easy access to information about changing market conditions and allowing them to alter their trading partners accordingly. Despite the potential benefits of such flexibility, the inherent complexity of managerial decisions in dynamic supply chain settings has thus far inhibited their widespread adoption. The Trading Agent Competition in Supply Chain Management (TAC SCM) is a model of dynamic supply chain management that is intended to stimulate research on technologies that could make dynamic supply chain management feasible.
Project status: Active
Project Home Page: http://www.cs.brown.edu/people/amy/scm.html
Research Areas
| Intelligent Agents |
| Artificial Intelligence |
Research Themes
| Electronic Commerce |
| Trading Agent Design and Analysis |
People
| Amy Greenwald |
Funding
Computational Social Choice Theory, National Science Foundation, $375,000, 3/1/2002 - 2/28/2007
The Trading Agent Competition, National Science Foundation, $27,500, 4/1/2006 - 3/31/2007
Publications
Greenwald, A., Guillemette, B., Naroditskiy, V., and Tschantz, M. Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents. In Proceedings of the International Joint Conference on Artificial Intelligence Workshop on Trading Agent Design and Analysis (Aug 2005). [ postscript | pdf ]
Benisch, M., Greenwald, A., Naroditskiy, V., and Tschantz, M. A Stochastic Programming Approach to Scheduling in TAC SCM. In Proceedings of the Fifth ACM Conference on Electronic Commerce (May 2004), pp. 152-160. [ postscript | pdf ]
Benisch, M., Greenwald, A., Grypari, I., Lederman, R., Naroditskiy, V., and Tschantz, M. Botticelli: A Supply Chain Management Agent. In Proceedings of the Third International Conference on Autonomous Agents and Multiagent Systems (Jul 2004), pp. 1174-1181. [ postscript | pdf ]
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