Artificial intelligence approach to analyzing the bullwhip effect in supply chains

• Main Authors: QING, C., SIAU, Keng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1999
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9671; https://ink.library.smu.edu.sg/context/sis_research/article/10671/viewcontent/Artificial_Intelligence_Approach_to_Analyzing_the_Bullwhip_Effect_in_Supply_Chains.pdf
• Institution: Singapore Management University

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.