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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).

Published in:

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

Date of Conference:

2002

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