An Intelligent Brokering System to support Multi-Agent Web-Based 4th Party Logistics

Publication Type

Conference Proceeding Article

Publication Date

11-2002

Abstract

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).

Discipline

Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering

Publication

14th IEEE Conference on Tools with Artificial Intelligence (ICTAI 2002) 14-6 November, Washington, DC: Proceedings

First Page

154

Last Page

161

ISBN

9780769518497

Identifier

10.1109/TAI.2002.1180800

Publisher

IEEE

City or Country

Washington D.C., United States

Additional URL

http://dx.doi.org/10.1109/TAI.2002.1180800

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