Multi-Agent Applied Research in Agile Supply Chain

Jin Peng Tang; Ling Lin Li

doi:10.4028/www.scientific.net/AMR.712-715.3059

Paper Titles

Green Supply Chain Network Equilibrium Model with Genetic Algorithm
p.3031

Financial Subsidies and their Effects on Environment-Friendly Products Supply in Green Supply Chain
p.3038

Diagnosis Method and Empirical Study of Supply Chain Performance Based on Bayesian Network
p.3044

The Carbon Sink Estimation and Carbon Sink Increase Potential of Jiangmen, China
p.3049

Multi-Agent Applied Research in Agile Supply Chain
p.3059

Value Analysis on Inventory Information Sharing in Supply Chain
p.3063

Study on the Allocation of Carbon Emissions Based on the Supply Chain Profit Distribution
p.3067

Analysis of the Main Technical Ways of Automobile Energy Saving
p.3072

Manufacturing Resources Optimization Operation for Iron and Steel Enterprise Based on Green Manufacturing
p.3079

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Multi-Agent Applied Research in Agile Supply Chain

Multi-Agent Applied Research in Agile Supply Chain

Abstract:

Introduced intelligent agents to agile supply chain, designed multi-agent coordination mechanism for agents, then proposed agile supply chain based on multi-agent system. This mechanism is applied to a specific enterprise. Multi-Agent strengthens the agile supply chain system reliability, flexibility and scalability, and improves the competitiveness of enterprises.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

3059-3062

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.3059

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Online since:

June 2013

Authors:

Jin Peng Tang*, Ling Lin Li

Keywords:

Agent, Agile Supply Chain, Coordination

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* - Corresponding Author

References

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