Artificial Intelligence Approach to Analyzing the Bullwhip Effect in Supply Chains

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.

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	Siau, Keng L Edwin J. Faulkner Professor Expertise: Systems Analysis and Design Design Science Web 2.0, Virtual World, and 3-D Web Supply Chain Integration and Management Electronic, Mobile, and Ubiquitous Commerce Management CBA 255 P.O. Box 880491 University of Nebraska-Lincoln Lincoln, NE 68588-0491, USA Phone: (402) 472-3078 Fax: (402) 472-5855 ksiau@unl.edu	Siau, Keng L	Management