Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40381
Title: An intelligent brokering system to support multi-agent web-based 4th-party logistics
Authors: Lau, H.C. 
Goh, Y.G.
Issue Date: 2002
Source: Lau, H.C.,Goh, Y.G. (2002). An intelligent brokering system to support multi-agent web-based 4th-party logistics. Proceedings of the International Conference on Tools with Artificial Intelligence : 154-164. ScholarBank@NUS Repository.
Abstract: An intelligent agent-based framework that supports fourth-party logistics (4PL) operations on the web is proposed in this paper. In our system, customers specify job requests over the web dynamically. An eMarket Place allows intelligent third-party logistics (3PL) agents to bid for customers' job requests. The intelligence lies on the e-Market Place to optimally decide which agents' bids should be satisfied based on a set of pre-determined factors (pricing, preferences and fairness). We model the underlying brokering problem as a Set Packing Problem (SPP), which is an NP-hard optimization problem. An iterative greedy approximation algorithm is proposed to solve the SPP, and experimental results show its effectiveness against the classical greedy method proposed by Chvatal.
Source Title: Proceedings of the International Conference on Tools with Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/40381
ISSN: 10636730
Appears in Collections:Staff Publications

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