Wolf Ketter's Publications

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Analysis and Design of Supply-Driven Strategies in TAC-SCM

Wolfgang Ketter, Elena Kryzhnyaya, Steven Damer, Colin McMillen, Amrudin Agovic, John Collins, and Maria Gini. Analysis and Design of Supply-Driven Strategies in TAC-SCM. In Workshop: Trading Agent Design and Analysis at Third Int'l Conf. on Autonomous Agents and Multi-Agent Systems, pp. 44–51, New York, July 2004.

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Abstract

We describe two sales strategies used by our agent, MinneTAC, for the 2003 Supply Chain Management Trading Agent Competition (TAC SCM). Both strategies estimate, as the game progresses, the probability of receiving a customer order for different prices and compute the expected profit. Offers are made to maximize the expected profit on each order. The main difference between the two strategies is in how the probability of receiving an order and the offer prices are computed. The first strategy works well in high-demand games, the second was developed to improve performance in low-demand games. We empirically analyze the effect of the discount given by suppliers on orders received the first day of the game, and we show that in high-demand games there is a strong correlation between the offers an agent receives from suppliers on the first day of the game and the agent's performance in the game.

@InProceedings{Ketter04tada,
  author =       "Wolfgang Ketter and Elena Kryzhnyaya and Steven Damer
                  and Colin McMillen and Amrudin Agovic and John Collins
                  and Maria Gini",
  title =        "Analysis and Design of Supply-Driven Strategies in {TAC-SCM}",
  booktitle =    "Workshop: {Trading Agent Design and Analysis} at Third Int'l Conf. on Autonomous Agents and Multi-Agent Systems",
  pages =        {44--51},
  year =         "2004",
  abstract = "We describe two sales strategies used by our agent,
  MinneTAC, for the 2003 Supply Chain Management Trading Agent
  Competition (TAC SCM).  Both strategies estimate, as the game
  progresses, the probability of receiving a customer order for
  different prices and compute the expected profit.  Offers are made
  to maximize the expected profit on each order.  The main difference
  between the two strategies is in how the probability of receiving an
  order and the offer prices are computed.  The first strategy works
  well in high-demand games, the second was developed to improve
  performance in low-demand games.  We empirically analyze the effect
  of the discount given by suppliers on orders received the first day
  of the game, and we show that in high-demand games there is a strong
  correlation between the offers an agent receives from suppliers on
  the first day of the game and the agent's performance in the game."
  address =      {New York},
  month =        {July},
  bib2html_pubtype = {Refereed Workshop/Symposium},
  bib2html_rescat = {Trading Agents: Supply-Chain Management},
}

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