Combinatorial auctions for supply chain formation
Proceedings of the 2nd ACM conference on Electronic commerce
MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Market protocols for decentralized supply chain formation
Market protocols for decentralized supply chain formation
Decentralised coordination of low-power embedded devices using the max-sum algorithm
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Decentralized supply chain formation: a market protocol and competitive equilibrium analysis
Journal of Artificial Intelligence Research
Bidding languages and winner determination for mixed multi-unit combinatorial auctions
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Decentralised Supply Chain Formation: A Belief Propagation-based Approach
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
From supply chain formation to multi-agent coordination
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
| Hi-index | 0.00 |
Supply Chain Formation is the process of determining the participants in a supply chain, who will exchange what with whom, and the terms of the exchanges. Decentralized supply chain formation appears as a highly intricate task because agents only possess local information, have limited knowledge about the capabilities of other agents, and prefer to preserve privacy. State-of-the-art decentralized supply chain formation approaches can either: (i) find supply chains of high value at the expense of high resources usage; or (ii) find supply chains of low value with low resources usage. This work presents CHAINME, a novel decentralized supply chain formation algorithm. Our results show that CHAINME finds supply chains with higher value than state-of-the-art decentralized algorithms whilst decreasing the amount of resources required from one up to four orders of magnitude.