Abstract
This paper describes the design and evaluation of SouthamptonSCM, a finalist in the 2004 International Trading Agent Supply Chain Management Competition (TAC SCM). In particular, we focus on the way in which our agent sets its prices according to the prevailing market situation and its own inventory level (because this adaptivity and flexibility are the key components of its success). Specifically, we analyse our pricing model’s performance both in the actual competition and in controlled experiments. Through this evaluation, we show that SouthamptonSCM performs well across a broad range of environments.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Collins, J., Arunachalam, R., et al.: The supply chain management game for the 2005 trading agent competition. Technical Report CMU-ISRI-04-139, School of Computer Science, Carnegie Mellon University (December 2004)
Dahlgren, E., Wurman, P.R.: PackaTAC: A conservative trading agent. SIGecom Exchanges 4(3), 33–40 (2004)
He, M., Jennings, N.R.: Designing a successful trading agent: A fuzzy set approach. IEEE Transactions on Fuzzy Systems 12(3), 389–410 (2004)
He, M., Jennings, N.R., Leung, H.F.: On agent-mediated electronic commerce. IEEE Transactions on Knowledge and Data Engineering 15(4), 985–1003 (2003)
He, M., Leung, H.F., Jennings, N.R.: A fuzzy logic based bidding strategy for autonomous agents in continuous double auctions. IEEE Transactions on Knowledge and Data Engineering 15(6), 1345–1363 (2003)
Kumar, K.: Technology for supporting supply-chain management. Comms. of the ACM 44(6), 58–61 (2001)
Luo, X., Jennings, N.R., Shadbolt, N., Leung, H.F., Lee, J.H.M.: A fuzzy constraint based model for bilateral, multi-issue negotiation in semi-competitive environments. Artificial Intelligence 148(1-2), 53–102 (2003)
Sugeno, M.: An introductory survey of fuzzy control. Information Sciences 36, 59–83 (1985)
Wellman, M.P., Estelle, J., Singh, S., et al.: Strategic interactions in a supply chain game. Computational Intelligence 21(1), 1–26 (2005)
Yen, J.: Fuzzy logic — a modern perspective. IEEE Trans. Knowledge and Data Engineering 11(1), 153–165 (1999)
Zimmermann, H.-J.: Fuzzy Set Theory and Its Applications, ch. 11, pp. 203–240. Kluwer Academic Publishers, Dordrecht (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
He, M., Rogers, A., David, E., Jennings, N.R. (2006). Designing and Evaluating an Adaptive Trading Agent for Supply Chain Management. In: La Poutré, H., Sadeh, N.M., Janson, S. (eds) Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms. AMEC TADA 2005 2005. Lecture Notes in Computer Science(), vol 3937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888727_11
Download citation
DOI: https://doi.org/10.1007/11888727_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46242-2
Online ISBN: 978-3-540-46243-9
eBook Packages: Computer ScienceComputer Science (R0)