Name
Abstract | ||
|---|---|---|
As quay cranes and RTGs are vital handling equipment at container terminals, their scheduling optimization would significantly affect the terminal's operation efficiency and costs. Most of the existing literature mainly studies a single quay crane, RTG dispatch, or the joint dispatch of handling equipment and horizontal transportation equipment, and rarely combines handling equipment at both ends for research. This paper breaks through the traditional scheduling mode of quay cranes or RTGs and takes the integrated and coordinated scheduling of quay cranes and RTGs as the research object. The objective is to minimize the operating cost, waiting for time penalty cost of container trucks, and re-stow cost, establish a comprehensive scheduling optimization mathematical model. Firstly, according to the features of the optimization model, this paper will use GA (Genetic algorithm) method to calculate withMATLAB2018b designing its program. Additionally, data collecting is based on the survey of actual operations in the terminal. Lastly, all data analysis will be under the computer experiment, compared to the actual operations data to identify the operating cost of the collaborative scheduling model is greatly reduced, the feasibility of the optimization model, and the reliability of its algorithm. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/SmartIoT55134.2022.00027 | 2022 IEEE International Conference on Smart Internet of Things (SmartIoT) |
Keywords | DocType | ISSN |
Water Transport,Container Terminal,Quay Crane & RTGs,Co-scheduling,Genetic algorithm | Conference | 2770-2669 |
ISBN | Citations | PageRank |
978-1-6654-7953-0 | 0 | 0.34 |
References | Authors | |
10 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangyong Chu | 1 | 0 | 0.34 |
| Dong Liang | 2 | 0 | 0.34 |
| Yupei Zhou | 3 | 0 | 0.34 |
| Xiaowei Xu | 4 | 0 | 0.34 |
| Yiming Zhang | 5 | 0 | 0.34 |
| Zhiyi Ruan | 6 | 0 | 0.34 |
| Huanbin Xiao | 7 | 0 | 0.34 |
| Shiping Zuo | 8 | 0 | 0.34 |