Abstract
After analyzing operational process for container terminal, the design employs a role Agent for each operation that coordinates with neighbouring role Agent. The structure of logistic operational integrated system based on Multi-Agent for container terminal is established via computation Agent, and the working process of operational role Agent is demonstrated. The computation Agent coordination model is designed. Based on the analysis of conflict of logistic operation for container terminal, integration mechanisms for adjacent operation role via the combination of game theory and Q-learning are proposed. Numerical experiment in container terminal about the adjacent operation integration between yard trailer and quay-crane testifies the validity of the integration. It helps improve the system’s reliability.
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References
Bish EK (2003) A multiple-crane-constrained scheduling problem in a container terminal. Eur J Oper Res 144(1):83–107
Gambardella LM, Rizzoli AE, Zaffalon M (1998) Simulation and planning of an intermodal container terminal. Simulation 71(2):107–116
Gambardella LM, Mastrolilli M, Rizzoli AE et al (2001) An optimization methodology for intermodal terminal management. J Intell Manuf 125(6):521–534
Jing-lei Yang (2003) Operation research on internal logistics networks of container terminals, PhD dissertation, Shanghai Maritime University
Kia M, Shayan E, Ghotb F (2002) Investigation of port capacity under a new approach by computer simulation. Comput Ind Eng 42(10):533–540
Legato P, Mazza RM (2001) Berth planning and resources optimization at a container terminal via discrete event simulation. Eur J Oper Res 133(3):537–547
Li Ying (2004) MAS and its application of forecast and ITS. East China University of Science and Technology Press, Shanghai, pp 154–158
Ng WC, Mak KL (2005) Yard crane scheduling in port container terminals. Appl Math Model 29:263–276
Rebollo M, Julian V, Carrascosa C et al (2000) A multi-agent system for the automation of a port container terminal. Autonomous agents 2000 workshop on agents in industry. Barcelona, Spain
Shi Chun-yi (2007) Computation based on agent. Tsinghua University Press, Bijing, pp 99–104
Thurston T, Hu H (2002) Distributed agent architecture automation. In: Proceedings of the 26th international computer software and conference, Oxford, UK, pp 81–90
Wang Gang et al (2007) Research on integrated optimization of logistics operation system in port container terminals based on multi-agent[J]. J Logist Technol 26(4):31–33
Xia Xin-hai (2008) Coordination & optimization of loading and unloading operation for container terminal distribution. J Guangzhou Marit Coll 16(2):16–19
Yu Meng, Wang Shaomei (2007) Research on modeling of multi-agent-based scheduling system for container terminal. J Wuhan Univ Technol (Transp Sci Eng) 31(3):495–497
Zhang Rong (2007) Information system model of rail-sea intermodal transportation based on multi-agent. J Tongji Univ (Nat Sci) 35(1):172–176
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Yuan, Yq., Xia, Xh., Cheng, J. (2013). Integration of Agent-Based Logistic Operation for Container Terminal. In: Dou, R. (eds) Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33012-4_53
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DOI: https://doi.org/10.1007/978-3-642-33012-4_53
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