Research on Cooperative Scheduling of Automated Quayside Cranes and Automatic Guided Vehicles in Automated Container Terminal

According to previous research studies, automated quayside cranes (AQCs) and automated guided vehicles (AGVs) in automated container terminals have a high potential synergy. In this paper, a collaborative scheduling model for AQCs and AGVs is established and the capacity limitation of the transfer p...

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Bibliographic Details
Published in:Mathematical problems in engineering 2019, Vol.2019 (2019), p.1-15
Main Authors: Du, Xuemin, Guo, Dong, Ji, Shouwen, Zhao, Qianru, Wang, Hongxuan
Format: Article
Language:English
Subjects:
Automated guided vehicles
Automation
Containers
Cranes
Cranes & hoists
Efficiency
Energy consumption
Genetic algorithms
Industrial engineering
Integer programming
Linear programming
Optimization
Ports
Production scheduling
Scheduling
Search algorithms
Search process
Tabu search
Transport buildings, stations and terminals
Vehicles
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Summary:According to previous research studies, automated quayside cranes (AQCs) and automated guided vehicles (AGVs) in automated container terminals have a high potential synergy. In this paper, a collaborative scheduling model for AQCs and AGVs is established and the capacity limitation of the transfer platform on AQCs is considered in the model. The minimum total energy consumption of automated quayside cranes (AQCs) and Automatic Guided Vehicles (AGVs) is taken as the objective function. A two-stage taboo search algorithm is adopted to solve the problem of collaborative scheduling optimization. This algorithm integrates AQC scheduling and AGV scheduling. The optimal solution to the model is obtained by feedback from the two-stage taboo search process. Finally, the Qingdao Port is taken as an example of a data experiment. Ten small size test cases are solved to evaluate the performance of the proposed optimization methods. The results show the applicability of the two-stage taboo search algorithm since it can find near-optimal solutions, precisely and accurately.
ISSN:1024-123X
1563-5147
DOI:10.1155/2019/6574582