Volume 16 - Summer and Fall 2021
ijmt 2021, 16 - Summer and Fall 2021: 13-27 |
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1- Faculty of Statistics, Mathematics and Computer Science, Allameh Tabataba’i University
Abstract: (1888 Views)
The efficiency of ports and container terminals is strongly related to the process of loading containers onto and unloading containers from the docked ships. In this research, an issue of integrated equipment management in automated container terminals with the aim of increasing efficiency has been studied. Due to this issue falls into NP-Hard problems, it was divided into two sub-problems: Allocating resources to containers and arranging the containers serviced by automated guided vehicles. Both sub-problems were formulated and expressed using the linear integer-programming model. The first sub-problem is solved by the allocation of random process resources with uniform distribution and the second part is solved using a Sorting Genetic Algorithm. The main parameters of the proposed solution methods were determined with Minitab software and Taguchi techniques. In order to evaluate the efficiency and effectiveness of the proposed solution methods, many numerical experiments have been examined and evaluated. The experimental results show that the proposed solutions are efficient for estimating the service time and the number of automated guided vehicles required to transporting the containers in the container ports.
Type of Study: Research Paper |
Subject:
Maritime Transport and Port Management
Received: 2021/09/9 | Accepted: 2022/02/8
Received: 2021/09/9 | Accepted: 2022/02/8
References
1. Kim, J.; Hong, E.J.; Yang, Y.; Ryu, K.R. Noisy Optimization of Dispatching Policy for the Cranes at the Storage Yard in an Automated Container Terminal. Applied Sciences. 2021, 11, 6922. [DOI:10.3390/app11156922]
2. Steenken D, Winter T, Zimmermann U.T, "Stowage and Transport Optimisation in Ship Planning", Springer, Berlin, pp. 731-745, 2001. [DOI:10.1007/978-3-662-04331-8_35]
3. Chen, L., Langevin, A., Lu, Z., Integrated scheduling of crane handling and truck transportation in a maritime container terminal. Eur. J. Oper. Res. 225 (1), 142e152. 2013. [DOI:10.1016/j.ejor.2012.09.019]
4. Tang, L., Zhao, J., Liu, J., Modeling and solution of the joint quay crane and truck scheduling problem. European Journal of Operation Research, 236 (3), 978e990, 2014. [DOI:10.1016/j.ejor.2013.08.050]
5. He, J., Huang, Y., Yan, W., Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption. Expert Syst. Appl. 42 (5), 2464e2487, 2015, . [DOI:10.1016/j.eswa.2014.11.016]
6. Roy, D., de Koster, R., Stochastic modeling of unloading and loading operations at a container terminal using automated lifting vehicles, European Journal of Operational Research,. 266 (3), 895e910, 2018, . [DOI:10.1016/j.ejor.2017.10.031]
7. Yang, Y., Zhong, M., Dessouky, Y., & Postolache, O., An integrated scheduling method for AGV routing in automated container terminals. Computers & Industrial Engineering, 126, 482-493, 2018. [DOI:10.1016/j.cie.2018.10.007]
8. Vahdani, B., Mansour, F., Soltani, M., Bi-objective optimization for integrating quay crane and internal truck assignment with challenges of trucks sharing. Knowl. Base Syst. 163, 675e692, 2019,
https://doi.org/10.1016/j.knosys.2018.09.025 [DOI:10.1016/j.knosys.2018.09.025.]
9. Zhao, Q., Ji, S., Guo, D., Research on cooperative scheduling of automated quayside cranes and automatic guided vehicles in automated container terminal. Math. Probl Eng. 1e15. [DOI:10.1155/2019/6574582]
10. Castilla Rodríguez, I., Exposito-Izquierdo, C., Melian-Batista, B., Simulation-optimization for the management of the transshipment operations at maritime container terminals. Expert System Application, 139, 112852, 2020. [DOI:10.1016/j.eswa.2019.112852]
11. Kizilay, D., Van Hentenryck, P., & Eliiyi, D. T., Constraint programming models for integrated container terminal operations. European Journal of Operational Research, 286(3), 945-962, 2020. [DOI:10.1016/j.ejor.2020.04.025]
12. Yue, L., Fan, H., & Ma, M., Optimizing configuration and scheduling of double 40 ft dual-trolley quay cranes and AGVs for improving container terminal services. Journal of Cleaner Production, 292, 126019,2021. [DOI:10.1016/j.jclepro.2021.126019]
13. Lijun Y., Houming F., Mengzhi M., Optimizing configuration and scheduling of double 40 ft dual-trolley quay cranes and AGVs for improving container terminal services, Journal of Cleaner Production 292 (2021) 126019, 2021. [DOI:10.1016/j.jclepro.2021.126019]
14. Rashidi, H and Tsang, E., (2015). Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems, Second Edition (2nd ed.). CRC Press. [DOI:10.1201/b18984]
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