Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-1999
Abstract
Supply chain management critically affects businesses’ abilities to obtain and sustain competitive advantages. The bullwhip effect, however, presents a challenge for successful supply chain management by amplifying demands in the supply chains. This paper presents a systematic approach to tackle the issue of bullwhip effect. Firstly, we define the supply chain under a multiagent framework. Secondly, the group problem solving paradigm, which is a rule learning approach, is proposed to enhance the decision making process within the supply chain framework. The group problem solving paradigm is also suggested as a means to alleviate the bullwhip effect. The paper concludes with a discussion on the possible implication of this research and future research directions.
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
Proceedings of the Fifth Americas Conference on Information Systems (AMCIS 1999), Milwaukee, Wisconsin, August 13-15
First Page
43
Last Page
45
City or Country
Milwaukee, Wisconsin
Citation
QING, C. and SIAU, Keng.
Artificial intelligence approach to analyzing the bullwhip effect in supply chains. (1999). Proceedings of the Fifth Americas Conference on Information Systems (AMCIS 1999), Milwaukee, Wisconsin, August 13-15. 43-45.
Available at: https://ink.library.smu.edu.sg/sis_research/9671
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://aisel.aisnet.org/amcis1999/15