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An intelligent brokering system to support multi-agent Web-based 4th-party logistics

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2 Author(s)
Hoong Chuin Lau ; The Logistics Inst. Asia Pacific, Nat. Univ. of Singapore, Singapore ; Yam Guan Goh

An intelligent agent-based framework that supports fourth-party logistics (4PL) operations on the Web is proposed. In our system, customers specify job requests over the Web dynamically. An e-marketplace allows intelligent third-party logistics (3PL) agents to bid for customers' job requests. The intelligence lies in the e-marketplace optimally deciding which agents' bids should be satisfied based on a set of predetermined factors (pricing, preferences and fairness). We model the underlying brokering problem as a set packing problem (SPP), 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 (1979).

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Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. 14th IEEE International Conference on

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