Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Intelligent Agent-Based Decision Support System for Supply Chain Management in E-Business

An Intelligent Agent-Based Decision Support System for Supply Chain Management in E-Business
View Free PDF
Author(s): C. Christopher Lee (Central Washington University, USA), Kun Chang Lee (Sung Kyun Kwan University, Korea) and Jae Ho Han (Pukyong National University, Korea)
Copyright: 2002
Pages: 5
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch076
ISBN13: 9781930708396
EISBN13: 9781466641358


This paper proposes a web-based decision support system (DSS) for supply chain management (SCM) decision making. In SCM, there is always the likelihood of having disagreements among parties for a certain decision making process. This phenomenon increases when the business environment becomes more competitive and turbulent. Much research has been done on the topic of decision support systems. However, there have been few publications dedicated solely to web-based DSS study. To date, no research has been done on a web-based DSS specifically designed for SCM decision making. A lack of study on Intelligent Agent-Based Web DSS drives this study. It is expected that this research will provide additional insights for existing supply chain management and information systems literature. The proposed web-based DSS is comprised of model management agents. We will describe the mechanism of the proposed web-based DSS with an emphasis on the role of model management agent. An aggregate production and inventory control model is used for the proposed system’s application example.

Body Bottom