Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim
Keywords:
Handling operation; Petri net; Eigenvalue of the correlation matrix; Simulation
Abstract
As an important part of the container terminal operating system, the container terminal handling system affects the manufacturing operation efficiency of the container terminal. With the development of containerized transport industry, the container terminal handling system is becoming more and more important to the container terminal. It is aimed to seek a method to improve the efficiency of loading and unloading, and the container terminal handling system is taken as the research subject. Petri net and ExtendSim software are combined to simulate and optimize the container terminal handling system based on the relevant research results and the current situation at home and abroad. Describe the loading and unloading operation process of the container terminal system logically by Petri net according to the composition of the container terminal. Next eigenvalues of the correlation matrix are calculated to analyze the effectiveness of the Petri net system. Then simulate the whole container terminal handling system using ExtendSim based on the Petri net system, and statistical data of the ship entry module can be obtained. By analyzing the simulation results, find the factors that affect the efficiency of container terminals. The simulation is optimized by adjusting the running speed of container trucks, the quantity ratio of inner and outer tracks, and the running mode of the container trucks.
References
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[2] Yang D, Zhao Y, Yanagita T. A frame study of correlation analysis between open macroeconomics system and container throughput. Transportation Research Procedia. 2017;25: 2784–2796. doi: 10.1016/j.trpro.2017.05.233.
[3] Xie G, Zhang N, Wang S. Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology. Transportation Research Part E: Logistics and Transportation Review. 2017;108: 160–78. doi: 10.1016/j.tre.2017.08.015.
[4] Notteboom T. The adaptive capacity of container ports in an era of mega vessels: The case of upstream seaports Antwerp and Hamburg. Journal of Transport Geography. 2016;54: 295–309. doi: 10.1016/j.jtrangeo.2016.06.002.
[5] Haralambides HE. Gigantism in container shipping, ports and global logistics: a time-lapse into the future. In Maritime Economics and Logistics. 2019;21: 1-60. doi: 10.1057/s41278-018-00116-0.
[6] Sun Z, Lee LH, Chew EP, Tan KC. MicroPort: A general simulation platform for seaport container terminals. Advanced Engineering Informatics. 2012;26(1): 80–90. doi: 10.1016/j.aei.2011.08.010.
[7] Wang J, Lu YY, Wang MR, Xv XL. Configuring container truck optimization base on simulation model of “operation-flat” on container terminal. Journal of Wuhan University of Technology (Traffic Science and Engineering). 2014;38(01): 69-73. doi: 10.3963/j.issn.2095-3844.2014.01.015.
[8] Guo SJ, He FY, Zhao D. Stimulation of handing equipment configuration in container terminal. Navigation of China. 2014;37(2): 97-101. doi: 10.3969/j.issn.1000-4653.2014.02.023
[9] Muravev D, Hu H, Rakhmangulov A, Mishkurov P. Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port. International Journal of Information Management. 2021;57: 102133. doi 10.1016/j.ijinfomgt.2020.102133.
[10] Fu Q, Zhong CY. Modeling and simulation of container port logistics system based on HTCPN. Logistics technology. 2014;33(05): 419-421+429. doi: 10.3969/j.issn.1005-152X.2014.03.133.
[11] Cavone G, Dotoli M, Epicoco N, Seatzu C. Intermodal terminal planning by Petri Nets and Data Envelopment Analysis. Control Engineering Practice. 2017;69(2017): 9–22. doi: 10.1016/j.conengprac.2017.08.007.
[12] Wang, XJ, Niu, ZQ. OOPN-based simulation and optimization of operation process of port container yard. Logistics Technology. 2010;29(09): 48-51. doi: 10.3969/j.issn.1005-152X.2010.09.017.
[13] Si YJ. Study of berth and quay crane assignment and container truck scheduling problem. PHD thesis. Hebei University of Technology; 2017.
[14] Tan CF. Research on optimizing managemnet of resources of container terminal. Master's thesis. Dalian Maritime University; 2010.
[15] Tian, X. Research on integrated scheduling model and algorithm for handing equipment of container terminal. Master's thesis. Wuhan University of Technology; 2018.
[16] Facchini F, Digiesi S, Mossa G. Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making. International Journal of Production Economics. 2020;219(2020): 164–78. doi: 10.1016/j.ijpe.2019.06.004.
[17] Yuan CY. Principle of Petri net. Beijing: Electronics Industry; 1998.
[18] Yu W, Jia M, Fang X, Lu Y, Xu J. Modeling and analysis of medical resource allocation based on Timed Colored Petri net. Future Generation Computer Systems. 2020;111: 368–74. doi: 10.1016/j.future.2020.05.010.
[19] Flores Geronimo M, et al. A multiagent systems with Petri Net approach for simulation of urban traffic networks. Environment and Urban Systems. 2021;89: 101662. doi: 10.1016/j.compenvurbsys.2021.101662.
[20] Jensen K, Kristensen LM. Coloured Petri Nets: Modelling and validation of concurrent systems. Berlin: Springer; 2009.
[21] Yuan JM. Petri net modeling and functional analysis for reliability of complex systems. Beiji ng: National Defense Industry; 2011.
[22] Xue Y. Configuration schemes of container truck in the case of ultra large container ships stevedoring simulaneously. Master's thesis. Dalian University of Technology; 2018.
[23] Han XL, Zhang SK, Y H. Comparative research of handing technologies based on simulation in container terminal. Journal of System Simulation. 2014;26(5): 1170–1175. doi: 10.16182/j.cnki.joss.2014.05.010.
[24] Sun YJ. Optimal scheduling for container terminal loading and unloading operations with heavy tailed operating times. PHD thesis. Dalian University of Technology; 2019.
[25] Chang DF. Study on key resources scheduling of container terminal for energy-efficiency operation. PHD thesis. Shanghai Jiao Tong University; 2012.
[26] Guo ZF. Optimization of outbound containers collection and shipment in container terminal with considering energy consumption analysis. PHD thesis. Dalian Maritime University; 2019.
[27] Jiang MX. Study on dynamic sxheduling of continous berth and quay crane and container truck and yard and gate at container terminals. PHD thesis. Zhejiang University of Technology; 2015.
[28] Teruel E, Silva M. Structure theory of equal conflict systems. Theoretical Computer Science. 1996;153(1-2): 271–300. doi: 10.1016/0304-3975(95)00124-7.
[29] Liao JJ, Wang MZ. Eigenvalues of incidence matrices applied to the analysis of Petri net structure. Journal of Applied Science. 2010;28(4): 417-423. doi: 10.3969/j.ssn.0255-8297.2010.04.015.
[30] Qin TB, Wang YF. Application oriented simulation modeling and analysis with ExtendSim. Beijing: Tsinghua University; 2011.
[31] Alodhaibi S, Burdett RL, Yarlagadda PKDV. Impact of passenger-arrival patterns in outbound processes of airports. Procedia Manufacturing. 2019;30: 323–30. doi: 10.1016/j.promfg.2019.02.046.
Published
2023-02-13
How to Cite
1.
Du D, Liu T, Guo C. Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim. Promet [Internet]. 2023Feb.13 [cited 2024May6];35(1):87-105. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/4196
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