DocumentCode :
465893
Title :
Intelligent Agents in Supply Chain Management as an Early Warning Mechanism
Author :
Lo, Wei-Shuo ; Hong, Tzung-Pei ; Jeng, Rong ; Liu, Jian-Ping
Author_Institution :
I-Shou Univ., Kaohsiung
Volume :
3
fYear :
2006
fDate :
8-11 Oct. 2006
Firstpage :
2161
Lastpage :
2166
Abstract :
E-Business technology has broadly been used in supply chain management to improve the relationships between business to business and between business to customers. It can be thought of as a tool with electronic information-integrated capability to reduce the time and cost of data processing, analysis and communication. The agent technology has recently been broadly used to assist business activities. An agent is an autonomous and computational entity. Agents can also work together (called multiple agents) to collect related knowledge and achieve a common goal. In this paper we propose a framework of an e-SCM multiple-agent system for early warning of possibly lost customers. Setting up an early-warning mechanism for business is very important to supply chain management. If a business can not provide suitable products or services for customers, customers could be lost without any announcement mechanism. It integrates data mining and intelligent agents together to automatically understand customers´ behaviors and impressions, and then finds possibly lost customers based on the information. The proposed approach has also been implemented in a company to show its effects.
Keywords :
data analysis; data mining; multi-agent systems; supply chain management; customer behavior; data analysis; data mining; data processing; e-SCM multiple-agent system; e-business technology; early warning mechanism; intelligent agent; supply chain management; Business communication; Business process re-engineering; Companies; Costs; Data analysis; Data processing; Information analysis; Intelligent agent; Supply chain management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
Type :
conf
DOI :
10.1109/ICSMC.2006.385181
Filename :
4274187
Link To Document :
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