Modeling and Simulation of Supply Chain Management System Based on Agent
AUTHORS
Tao He,Fashion design department, Wenzhou Vocational & Technical College, Wenzhou 325035
ABSTRACT
With the development of supply chain management, the selection and optimization of supply chain has become one of the research emphases. Simulation, as a powerful tool for selection and optimization, has been paid more and more attention. Agent is a major breakthrough in the distributed artificial intelligence, similar intelligence it has with the members of the supply chain members in the department or even run is better, so the agent technology and the combination of supply chain simulation can more accurately reflect the operation situation of the supply chain. In view of the above situation, this paper studies the modeling and implementation of supply chain simulation system based on Agent. Based on the agent modeling method and swarm as the simulation platform, this paper makes an exploratory research on the simulation of supply chain management system. A complete supply chain system model is obtained by using the concept of agent to analyze and model the various elements of the supply chain system.
KEYWORDS
Supply chain; management system; agent; model building
REFERENCES
[1] Yurievich G V, Alekseevna K A, Viсtorovna S N. Intelligence system of supply chain management of logistic company based on the discrete event, agent and system dynamic simulation models[J]. Vestnik Astrahanskogo Gosudarstvennogo Tehničeskogo Universiteta Seriâ Upravlenie Vyčislitelʹnaâ Tehnika I Informatika, (2012)(2):143–149.
[2] Santaeulalia L A, Halladjian G, D’Amours S, et al. Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review[J]. Journal of Industrial Engineering & Management, (2011), 4(4):624-668.
[3] Meng S. Supply Chain Modeling and Simulation Using Agents[J]. (2014).
[4] Miller J O, Harper T J. Agent Based Modeling and Simulation Framework For Supply Chain Risk Management[J]. (2012).
[5] Mustapha K, Mcheick H, Mellouli S. Modeling and Simulation Agent-based of Natural Disaster Complex Systems ☆[J]. Procedia Computer Science, (2013), 21:148-155.
[6] Olivier Labarthe, Bernard Espinasse, Alain Ferrarini, et al. A Methodological Approach for Agent Based Simulation of Mass Customizing Supply Chains[J]. Journal of Decision System, (2012), 14(4):397-425.
[7] Mustapha K, Tranvouez E, Espinasse B, et al. An organization-oriented methodological framework for agent-based supply chain simulation[J]. (2010):353-364.
[8] He Z, Wang S, Cheng T C E. Competition and evolution in multi-product supply chains: An agent-based retailer model[J]. International Journal of Production Economics, (2013), 146(1):325–336.
[9] Long Q. Distributed supply chain network modelling and simulation: integration of agent-based distributed simulation and improved SCOR model[J]. International Journal of Production Research, (2014), 52(23):6899-6917.
[10] Zhao C, Qiu J, Zhang X. Agent Behavior Based Modeling and Simulation for Pricing Coordination in Supply Chain[J]. Journal of Convergence Information Technology, (2012), 7(23):484-493.
[11] Tanabu M. Agent Based Modeling for Business Gam-ing Simulation and Application for Supply Chain Management Education[J]. ICEBI-10, (2010).
[12] Jiang G, Hu B, Wang Y. Agent-based simulation of competitive and collaborative mechanisms for mobile service chains[J]. (2010), 180(2):225-240.