An Intelligent Brokering System to support Multi-Agent Web-Based 4th Party Logistics
Conference Proceeding Article
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).
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
14th IEEE Conference on Tools with Artificial Intelligence (ICTAI 2002) 14-6 November, Washington, DC: Proceedings
City or Country
Washington D.C., United States
LAU, Hoong Chuin and GOH, Y. G..
An Intelligent Brokering System to support Multi-Agent Web-Based 4th Party Logistics. (2002). 14th IEEE Conference on Tools with Artificial Intelligence (ICTAI 2002) 14-6 November, Washington, DC: Proceedings. 154-161. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1122