On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
TacTex-03: a supply chain management agent
ACM SIGecom Exchanges
PackaTAC: a conservative trading agent
ACM SIGecom Exchanges
Exploiting Data Mining Techniques for Improving the Efficiency of a Supply Chain Management Agent
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
The supply chain trading agent competition
Electronic Commerce Research and Applications
Market efficiency, sales competition, and the bullwhip effect in the TAC SCM tournaments
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
A market-pressure-based performance evaluator for TAC-SCM
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Bidding for customer orders in TAC SCM
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Data Mining-Driven Analysis and Decomposition in Agent Supply Chain Management Networks
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Flexible decision control in an autonomous trading agent
Electronic Commerce Research and Applications
Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management
Expert Systems with Applications: An International Journal
Learning approaches for developing successful seller strategies in dynamic supply chain management
Information Sciences: an International Journal
Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes
Information Systems Research
| Hi-index | 12.05 |
Supply Chain Management (SCM) has recently entered a new era, where the old-fashioned static, long-term relationships between involved actors are being replaced by new, dynamic negotiating schemas, established over virtual organizations and trading marketplaces. SCM environments now operate under strict policies that all interested parties (suppliers, manufacturers, customers) have to abide by, in order to participate. And, though such dynamic markets provide greater profit potential, they also conceal greater risks, since competition is tougher and request and demand may vary significantly in the quest for maximum benefit. The need for efficient SCM actors is thus implied, actors that may handle the deluge of (either complete or incomplete) information generated, perceive variations and exploit the full potential of the environments they inhabit. In this context, we introduce Mertacor, an agent that employs robust mechanisms for dealing with all SCM facets and for trading within dynamic and competitive SCM environments. Its efficiency has been extensively tested in one of the most challenging SCM environments, the Trading Agent Competition (TAC) SCM game. This paper provides an extensive analysis of Mertacor and its main architectural primitives, provides an overview of the TAC SCM environment, and thoroughly discusses Mertacor's performance.