Title

A multi-agent model for cooperation and negotiation in supply networks

Date of this Version

8-8-2004

Document Type

Conference Paper

Publication Details

Published Version.

Finnie, G., Barker, J. R., & Sun, Z. (2004). A multi-agent model for cooperation and negotiation in supply networks. Paper presented at the 10th Americas Conference on Information Systems (AMCIS) 2004, New York, United States.

Access the conference website.

2004 HERDC submission.

© Copyright Jeffrey Barker, Gavin Finnie & Zhaohao Sun, 2004.

Abstract

Automation of inter-organizational cooperation and negotiation in supply networks with dynamic information flow needs intelligent software with a capacity for adaptation. The aim of this paper is to propose a multi-agent architecture for cooperation and negotiation in supply networks (MCNSN), which incorporates a learning capability for agents, and discusses the issues which need to be addressed for coordination of buyers and sellers, both at a transaction and an organizational level, as well as the broader issues of cooperation and negotiation. Certain agents use case-based reasoning (CBR) as a framework for learning the best strategy between buyers and suppliers. MCNSN operates at two levels. The first is a transaction/enterprise level which requires dynamic customer relationship management (CRM) information, user profiling and will eventually need a bargaining capability. The second is at a logistics/manufacturing level which deals with product transfer and requires learning cost-effective buyer/supplier dealings for specific products.