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A Robust Agent Design for Dynamic SCM Environments

  • Ioannis Kontogounis
  • Kyriakos C. Chatzidimitriou
  • Andreas L. Symeonidis
  • Pericles A. Mitkas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)

Abstract

The leap from decision support to autonomous systems has often raised a number of issues, namely system safety, soundness and security. Depending on the field of application, these issues can either be easily overcome or even hinder progress. In the case of Supply Chain Management (SCM), where system performance implies loss or profit, these issues are of high importance. SCM environments are often dynamic markets providing incomplete information, therefore demanding intelligent solutions which can adhere to environment rules, perceive variations, and act in order to achieve maximum revenue. Advancing on the way such autonomous solutions deal with the SCM process, we have built a robust, highly-adaptable and easily-configurable mechanism for efficiently dealing with all SCM facets, from material procurement and inventory management to goods production and shipment. Our agent has been crash-tested in one of the most challenging SCM environments, the trading agent competition SCM game and has proven capable of providing advanced SCM solutions on behalf of its owner. This paper introduces Mertacor and its main architectural primitives, provides an overview of the TAC SCM environment, and discusses Mertacor’s performance.

Keywords

Supply Chain Management Reserve Price Customer Order Bidding Strategy Trading Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Levi, S.D., Kaminsky, P., Levi, S.E.: Designing and managing the supply chain. McGraw-Hill, Illinois (2000)Google Scholar
  2. 2.
    He, M., Jennings, N.R., Leung, H.: On agent-mediated electronic commerce. IEEE Transactions on Knowledge and Data Engineering 15(4), 985–1003 (2003)CrossRefGoogle Scholar
  3. 3.
    Arunachalam, R., Sadeh, N.: The supply chain trading agent competition. Electronic Commerce Research and Applications 4, 63–81 (2005)CrossRefGoogle Scholar
  4. 4.
    Collins, J., Arunachalam, R., Sadeh, N., Ericsson, J., Finne, N., Janson, S.: The Supply Chain Management Game for the 2005 Trading Agent Competition. Technical Report CMU-ISRI-04-139, CMU (2004)Google Scholar
  5. 5.
    Pardoe, D., Stone, P.: TacTex-03: A supply chain management agent. SIGecom Exchanges: Special Issue on Trading Agent Design and Analysis 4(3), 19–28 (2004)CrossRefGoogle Scholar
  6. 6.
    He, M., Rogers, A., David, E., Jennings, N.R.: Designing and Evaluating an Adaptive Trading Agent for Supply Chain Management Applications. In: IJCAI-2005 Workshop on Trading Agent Design and Analysis (2005)Google Scholar
  7. 7.
    Cheng, F., Ettl, M., Lin, G.: Inventory-Service Optimization in Configure-to-Order Systems. Technical Report RC 21781, IBM (2001)Google Scholar
  8. 8.
    Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, Heidelberg (2001)CrossRefMATHGoogle Scholar
  9. 9.
    Pardoe, D., Stone, P.: Bidding for customer orders in tac scm: A learning approach. In: Workshop on Trading Agent Design and Analysis (2004)Google Scholar
  10. 10.
    Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco (2000)Google Scholar
  11. 11.
    Dahlgren, E., Wurman, P.R.: Packatac: A conservartive trading agent. SIGecom Exchanges 4(3), 33–40 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ioannis Kontogounis
    • 1
  • Kyriakos C. Chatzidimitriou
    • 2
  • Andreas L. Symeonidis
    • 1
    • 3
  • Pericles A. Mitkas
    • 1
    • 3
  1. 1.Electrical and Computer Engineering Dept.Aristotle University of ThessalonikiThessalonikiGreece
  2. 2.Department of Computer ScienceColorado State UniversityFort CollinsUSA
  3. 3.Intelligent Systems and Software Engineering LaboratoryInformatics and Telematics Institute – CERTHThessalonikiGreece

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