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...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
1999
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| Subjects: | |
| 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 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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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