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Value-driven procurement in the TAC supply chain game

Value-driven procurement in the TAC supply chain game The TAC supply-chain game presents automated trading agents with challenging decision problems, including procurement of supplies across multiple periods using multiattribute negotiations. The procurement process involves substantial uncertainty and competition among multiple agents. Our agent, Deep Maize, generates requests for components based on deviations from a reference inventory trajectory defined by estimated market conditions. It then selects among supplier offers by optimizing a value function over potential inventory profiles. This approach offered strategic flexibility and achieved competitive performance in the TAC-03 tournament. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Value-driven procurement in the TAC supply chain game

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2004 by ACM Inc.
ISSN
1551-9031
DOI
10.1145/1120701.1120704
Publisher site
See Article on Publisher Site

Abstract

The TAC supply-chain game presents automated trading agents with challenging decision problems, including procurement of supplies across multiple periods using multiattribute negotiations. The procurement process involves substantial uncertainty and competition among multiple agents. Our agent, Deep Maize, generates requests for components based on deviations from a reference inventory trajectory defined by estimated market conditions. It then selects among supplier offers by optimizing a value function over potential inventory profiles. This approach offered strategic flexibility and achieved competitive performance in the TAC-03 tournament.

Journal

ACM SIGecom ExchangesAssociation for Computing Machinery

Published: Feb 1, 2004

References