Models for design and control of stochastic, multi-item batch production systems
Operations Research
Minimizing total tardiness on one machine is NP-hard
Mathematics of Operations Research
Ordering and production decisions with supply quality and demand uncertainty
Management Science
Concurrent auctions across the supply chain
Proceedings of the 3rd ACM conference on Electronic Commerce
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
TAC-03: a supply-chain trading competition
AI Magazine
Incentive-compatible, budget-balanced, yet highly efficient auctions for supply chain formation
Proceedings of the 4th ACM conference on Electronic commerce
RedAgent-2003: An Autonomous Market-Based Supply-Chain Management Agent
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A Multi-Agent Negotiation Testbed for Contracting Tasks with Temporal and Precedence Constraints
International Journal of Electronic Commerce
Decentralized supply chain formation: a market protocol and competitive equilibrium analysis
Journal of Artificial Intelligence Research
Negotiation mechanism for TAC SCM component market
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-agent Coordination Schemas in Decentralized Production Systems
Computational Intelligence and Security
Flexible provisioning of web service workflows
ACM Transactions on Internet Technology (TOIT)
TAC-REM - the real estate market game: a proposal for the trading agent competition
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 markov model for inventory level optimization in supply-chain management
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Electronic Notes in Theoretical Computer Science (ENTCS)
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Supply Chain Management deals with the planning and coordination of bidding, production and procurement activities across the multiple organizations involved in the delivery of one or more products. With the emergence of electronic marketplaces, it is only natural to seek automated solutions that are capable of rapidly evaluating a large number of bidding and procurement options. In this paper, we present an integrated model that incorporates supply chain bidding, production and procurement. We discuss its computational complexity as well as the challenges that arise from the inherently stochastic and competitive nature of the resulting environment. A Web-based multi-agent simulation game based on this model was developed and validated in the context of the first Supply Chain Trading Agent Competition (TAC SCM 2003), where a total of 20 teams from around the world competed with one another. We review key agent strategies developed by competing teams and discuss the merits of competition-based research over more traditional research methodologies in this area.