Title :
A Multi-agent Simulation Study for Supply Chain Operation
Author :
Sarker, R. ; Kara, S. ; Freeman, G. ; Kayis, B. ; Ray, T. ; Abbass, H.
Author_Institution :
ADFA Sch. of ITEE, New South Wales Univ., NSW
Abstract :
In the last decade, supply chain operations have received tremendous attention in manufacturing and business sectors due to an increasingly challenging marketplace. This paper presents a multi-agent simulation model for a manufacturing supply chain operation. The model is capable of handling complex networks with many tiers, each tier with many business units and complex interactions among them. We have discussed the multi-agent architecture and run simulation for analysing the operational aspects. This allows companies to quantify different interacting parameters in the supply chain and help support to make improvement in operations
Keywords :
digital simulation; manufacturing systems; multi-agent systems; supply chain management; complex network; manufacturing supply chain operation; multiagent simulation; Analytical models; Australia; Business; Complex networks; Economic forecasting; Pulp manufacturing; Raw materials; Supply chain management; Supply chains; Virtual manufacturing;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631350
