Presentation 2001/1/4
Agent-based Supply Chain Model
Ken TANIGUCHI, Setsuya KURAHASHI, Takao TERANO,
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Abstract(in English) In conventional supply chain management(SCM)systems, the activities of each firm are determined by a global optimization principle.However, it is very difficult to change the activities when some disturbance is input into the system.Such cases, each firm usually change their decisions based on the information of only other adjuscent firms.Instead, this paper proposes a agent-based formulation of SCMs robust against the disturbance.We model each firm as an intelligent agent, which communicates each other via tha blackboard architecture.To understand the states of the SCM system, we employ the concept of information entropy, which represents the complexity of the information they process.Based on the above ideas, we implement an agent-based simulator to learn 'good'decisions via evolutionary algotrithms.Experimental results have shown that our simulator can model an SCM system robust against environmental changes.
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Keyword(in English) Supply Chain / Genetic Programming / Multiagent
Paper # AI2000-59
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Committee AI
Conference Date 2001/1/4(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Agent-based Supply Chain Model
Sub Title (in English)
Keyword(1) Supply Chain
Keyword(2) Genetic Programming
Keyword(3) Multiagent
1st Author's Name Ken TANIGUCHI
1st Author's Affiliation Graduate School of Systems Management, University of Tsukuba()
2nd Author's Name Setsuya KURAHASHI
2nd Author's Affiliation Graduate School of Systems Management, University of Tsukuba
3rd Author's Name Takao TERANO
3rd Author's Affiliation Graduate School of Systems Management, University of Tsukuba
Date 2001/1/4
Paper # AI2000-59
Volume (vol) vol.100
Number (no) 530
Page pp.pp.-
#Pages 6
Date of Issue