DESIGN AND ANALYSIS OF AGENTS FOR SUPPLY CHAIN MANAGEMENT: EXPERIENCES FROM THE TRADING AGENT COMPETITION

I. Dogan,∗ J.-W. Yoo,∗∗ R.B. Chinnam,∗ Y. Jia,∗ and G. Vanteddu∗

References

  1. [1] B.C. Arntzen, G.G. Brown, T.P. Harrison, & L.L. Trafton,Global supply chain management at digital equipment corpo-ration, Interfaces, 25(1), 1995, 69–93.
  2. [2] S.C. Graves & S.P. Willems, Optimizing strategic safety stockplacement in supply chains, Manufacturing and Service Oper-ations Management, 2(1), 2000, 68–83.
  3. [3] D Simchi-Levi & Y. Zhao, Safety stock positioning in supplychain with stochastic lead times, Manufacturing and ServiceOperations Management, 7(4), 2005, 295–318.
  4. [4] H. Lee & C. Billington, The evolution of supply chain man-agement models and practice at Hewlett-Packard, Interfaces5(5), 1995, 42–63.
  5. [5] H.L. Lee, Effective inventory and service management throughproduct and process redesign, Operations Research, 44(1),1996, 151–159.
  6. [6] R. Arunachalam & N. Sadeh, The supply chain trading agentcompetition, Electronic Commerce Research and Applications,4, 2005, 66–84.
  7. [7] M. He, A. Rogers, E. David, & N.C. Jennings, Designingand evaluating an adaptive trading agent for supply chainmanagement applications, IJCAI-05 Workshop on TradingAgent Design and Analysis, Edinburgh, 2005.
  8. [8] C.R. Jaimez-Gonzalez & M. Fasli, Socrates: A production-driven SCM agent, IJCAI-05 Workshop on Trading AgentDesign and Analysis, Edinburgh, Scotland, 2005.
  9. [9] S. Bell, M. Benisch, M. Benthall, A. Greenwald, & M.C.Tschantz, Multi-period online optimization in TAC SCM: Thesupplier offer acceptance problem, AAMAS-04 Workshop onTrading Agent Design and Analysis, New York, 2004.
  10. [10] S. Buffett & N. Scott, An Algorithm for Procurement in SupplyChain Management, AAMAS-04 Workshop on Trading AgentDesign and Analysis, New York, 2004.
  11. [11] W. Ketter, J. Collins, M. Gini, A. Gupta, & P. Schrater,Identifying and Forecasting Economic Regimes in TAC SCM,IJCAI-05 Workshop on Trading Agent Design and Analysis,Edinburgh, Scotland, 2005.
  12. [12] C. Kiekintveld, Y. Vorobeychik, & M.P. Wellman, An anal-ysis of the 2004 TAC supply chain management tournament,IJCAI-05 Workshop on Trading Agent Design and Analysis,Edinburgh, Scotland, 2005.
  13. [13] R. Arunachalam, N.M. Sadeh, J. Eriksson, N. Finne, &S. Janson, The Supply Chain Management Game for the2005 Trading Agent Competition, Technical Report CMUCS-04, School of Computer Science, Carnegie Mellon University,Pittsburgh, PA, 2005.
  14. [14] M. Benisch et al., CMieux Analysis and InstrumentationToolkit for TAC SCM, Carnegie Mellon University School ofComputer Science, Technical Report CMU-ISRI-05-127, 2005.
  15. [15] R.S. Sutton & A.G. Barto, Reinforcement learning: An intro-duction (Cambridge, MA: MIT Press, 1998).
  16. [16] R. Arunachalam, N. Sadeh, J. Eriksson, N. Finne, &S. Janson, A supply chain management game for the tradingagent competition, IJCAI-03 Workshop on Trading AgentDesign and Analysis, Acapulco, 2003.
  17. [17] M. Sugeno, An introductory survey of fuzzy control, Informa-tion Sciences, 36, 1985, 59–83.460
  18. [18] D. Pardoe & P. Stone, Bidding for Customer Orders in TACSCM: A Learning Approach, IJCAI-05 Workshop on TradingAgent Design and Analysis, Edinburgh, Scotland, 2005.
  19. [19] D. Pardoe & P. Stone, Predictive planning for supply chainmanagement, Proc. of the Int. Conf. on Automated Planningand Scheduling, ICAPS 2006, 2006.
  20. [20] R.E. Schapire & Y. Singer, BoosTexter: A boosting-basedsystem for text categorization, Machine Learning, 39 (2/3),2000, 135–168.
  21. [21] A. Greenwald, B. Guillemette, V. Naroditskiy, & M. Tschantz,Scaling up the Sample Average Approximation Method forStochastic Optimization with Applications to Trading Agents,IJCAI-05 Workshop on Trading Agent Design and Analysis,Edinburgh, Scotland, 2005.
  22. [22] A.J. Kleywegt, A. Shapiro, & T. Homem de Mello, Thesample average approximation method for stochastic discreteoptimization, SIAM Journal of Optimization, 12(2), 2001,479–502.
  23. [23] S. Sun, V. Avasarala, T. Mullen, & J. Yen, PSUTAC: Atrading agent designed from heuristics to knowledge, AAMAS-04 Workshop on Trading Agent Design and Analysis, NewYork, 2004.
  24. [24] A.P. Dempster, N.M. Laird, & D.B. Rubin, Maximum likeli-hood from incomplete data via the EM algorithm, Journal ofthe Royal Statistical Society, Series B, 39(1), 1977, 1–38.

Important Links:

Go Back