Please use this identifier to cite or link to this item:
|Title:||An intelligent brokering system to support multi-agent web-based 4th-party logistics|
|Authors:||Lau, H.C. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.