DocumentCode :
2046120
Title :
Agent-based double auction algorithm for global supply chain system
Author :
Kaihara, T.
Author_Institution :
Fac. of Inf. Sci., Univ. of Marketing & Distribution Sci., Kobe, Japan
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
678
Abstract :
The market mechanism based on a general equilibrium theory in economics solves distributed resource allocation problems by allocating the scheduled resources according to market prices. We propose an agent-based double auction algorithm and demonstrate the applicability of economic analysis to this framework. The product allocation problem in a supply chain is dealt with in detail, as a case study to validate our idea. The proposed algorithm is proved to emerge sophisticated product flows in a supply chain and conduct a Pareto optimal solution on multi-objective problems
Keywords :
goods dispatch data processing; management; manufacturing data processing; multi-agent systems; optimisation; resource allocation; Pareto optimal solution; agent-based double auction algorithm; distributed resource allocation; equilibrium theory; market mechanism; market prices; multiobjective problems; multiple agent system; product allocation; product flows; supply chain; Algorithm design and analysis; Companies; Distributed computing; Environmental economics; Problem-solving; Production facilities; Resource management; Scheduling algorithm; Supply chain management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
Type :
conf
DOI :
10.1109/IECON.2000.973230
Filename :
973230
Link To Document :
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