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Botticelli: a supply chain management agent designed to optimize under uncertainty

Published: 01 February 2004 Publication History

Abstract

The paper describes the design of the agent BOTTICELLI, a finalist in the 2003 Trading Agent Competition in Supply Chain Management (TAC SCM). In TAC SCM, a simulated computer manufacturing scenario, BOTTICELLI competes with other agents to win customer orders and negotiates with suppliers to procure the components necessary to complete its orders. We formalize subproblems that dictate BOTTICELLI's behavior. Stochastic programming approaches to bidding and scheduling are developed in attempt to solve these problems optimally. In addition, we describe greedy methods that yield useful approximations. Test results compare the performance and computational effciency of these two techniques.

References

[1]
BENISCH, M., GREENWALD, A., NARODITSKIY, V., AND TSCHANTZ, M. 2004. A stochastic programming approach to TAC SCM. In ACM Conference on Electronic Commerce. To Appear.
[2]
BIRGE, J. AND LOUVEAUX, F. 1997. Introduction to Stochastic Programming. Springer, New York.
[3]
KIEKINTVELD, C., WELLMAN, M., SINGH, S., ESTELLE, J., BEYCHIK, Y. V., SONI, V., AND RUDARY, M. 2004. Distributed feedback control for decision making on supply chains. In Fourteenth International Conference on Automated Planning and Scheduling. To Appear.
[4]
KLEYWEGT, A., SHAPIRO, A., AND HOMEN-DE-MELLO, T. 2001. The sample average approximation method for stochastic discrete optimization. SIAM Journal of Optimization 12, 479-502.
[5]
PARDOE, D. AND STONE, P. 2004. TacTex-03: A supply chain management agent. SIGecom Exchanges 4, 3 (February), In this issue.

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  • (2016)Design of Intelligent Agents for Supply Chain ManagementE-Life: Web-Enabled Convergence of Commerce, Work, and Social Life10.1007/978-3-319-45408-5_3(27-39)Online publication date: 1-Sep-2016
  • (2014)Classification Driven Detection of Opportunistic Bids in TAC SCMAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets10.1007/978-3-319-13218-1_11(144-158)Online publication date: 16-Nov-2014
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Published In

cover image ACM SIGecom Exchanges
ACM SIGecom Exchanges  Volume 4, Issue 3
February, 2004
55 pages
EISSN:1551-9031
DOI:10.1145/1120701
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 2004
Published in SIGECOM Volume 4, Issue 3

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Author Tags

  1. bidding agents
  2. supply chain management
  3. trading agents

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Cited By

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  • (2019)Application of adaptive strategy for supply chain agentInformation Systems and e-Business Management10.1007/s10257-018-0378-y17:1(117-157)Online publication date: 1-Mar-2019
  • (2016)Design of Intelligent Agents for Supply Chain ManagementE-Life: Web-Enabled Convergence of Commerce, Work, and Social Life10.1007/978-3-319-45408-5_3(27-39)Online publication date: 1-Sep-2016
  • (2014)Classification Driven Detection of Opportunistic Bids in TAC SCMAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets10.1007/978-3-319-13218-1_11(144-158)Online publication date: 16-Nov-2014
  • (2012)Electronic Markets and Multiagent SystemsStrategic and Pragmatic E-Business10.4018/978-1-4666-1619-6.ch003(56-71)Online publication date: 2012
  • (2012)Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic RegimesInformation Systems Research10.1287/isre.1110.041523:4(1263-1283)Online publication date: 1-Dec-2012
  • (2011)Learning approaches for developing successful seller strategies in dynamic supply chain managementInformation Sciences: an International Journal10.1016/j.ins.2011.04.014181:16(3411-3426)Online publication date: 1-Aug-2011
  • (2011)Contracts Negotiation in Market Environments Taking into Consideration the Strength of Each Economic PlayerAdvances on Practical Applications of Agents and Multiagent Systems10.1007/978-3-642-19875-5_38(299-308)Online publication date: 2011
  • (2010)The 2007 TAC SCM Prediction ChallengeAgent-Mediated Electronic Commerce and Trading Agent Design and Analysis10.1007/978-3-642-15237-5_13(175-189)Online publication date: 2010
  • (2010)An Optimization Method for Agent’s Bidding Strategy in TAC-SCM GameE-Commerce and Web Technologies10.1007/978-3-642-15208-5_16(172-183)Online publication date: 2010
  • (2010)A Demand-Driven Approach for a Multi-Agent System in Supply Chain ManagementAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets10.1007/978-3-642-15117-0_7(88-101)Online publication date: 2010
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