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.
Recommended Citation
Cao, Qing and Siau, Keng, "Artificial Intelligence Approach to Analyzing the Bullwhip Effect in Supply Chains" (1999). AMCIS 1999 Proceedings. 15.
https://aisel.aisnet.org/amcis1999/15