Title :
A Hybrid Push-Pull Model Based MultiAgent Supply-Chain System With Equilibrium Analysis
Author :
Ke, Ke ; Jin, Yue ; Zhang, Haizheng
Author_Institution :
Univ. of Arkansas, Monticello
Abstract :
This paper describes the design of UAM-TAC, a multi-agent based supply-chain system that will compete in TAC SCM (Trading Agent Competition Supply Chain Management) 2007. UAM-TAC consists of a procurement agent, an inventory agent, a production agent, a bidding agent and a delivery agent. By employing the equilibrium policy derived from the projected dynamic system, UAM-TAC establishes a game-theoretic hybrid push-pull model to control the supply chain system through the interactions among the agents. The game performance demonstrates that UAM-TAC is very responsive to the market price fluctuations and capacity variability. It´s observed that the component costs and selling price could be controlled at a reasonable level.
Keywords :
game theory; inventory management; multi-agent systems; pricing; procurement; Trading Agent Competition Supply Chain Management; agent interaction; bidding agent; capacity variability; component cost; delivery agent; equilibrium analysis; equilibrium policy; game theory; inventory agent; market price fluctuation; multiagent supply-chain system; procurement agent; production agent; push-pull model; selling price; supply chain system control; Decision making; Fluctuations; Game theory; Intelligent agent; Marketing and sales; Procurement; Production systems; Supply chain management; Supply chains; Uncertainty;
Conference_Titel :
Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3027-7
DOI :
10.1109/IAT.2007.84
