Abstract
Based on the “Internet +” technology, this paper establishes a logistics information platform for the container terminal. Under the premise of the scheduled arrival time and quantity of the truck, this paper aims at minimizing the working time of the loading and unloading equipment and the stay time of the train and truck in the station, and develops a scheduling optimization of loading and unloading model combing equilibrium assignment and flexible scheduling to realize the seamless transfer between rail and road transportation in container terminal. In order to solve the model, a multi-layer coding genetic algorithm with chromosome feasibility is designed to obtain the optimal scheduled time for the truck, and the optimal operation sequence of the gantry crane. Referring to China’s container station, this paper takes Takoradi container terminal of Ghana as a case to verify the accuracy and effectiveness of the model and algorithm and provides the medium or long term planning for Ghana’s development.
Highlights
Based on the “Internet +” technology, this paper establishes a logistics information platform for the container terminal
Under the premise of the scheduled arrival time and quantity of the truck, this paper aims at minimizing the working time of the loading and unloading equipment and the stay time of the train and truck in the station, and develops a scheduling optimization of loading and unloading model combing equilibrium assignment and exible scheduling to realize the seamless transfer between rail and road transportation in container terminal
Chen [23] analyse the related properties of the loading/unloading and moving process of the bridge crane based on the scheduling optimization problem of container terminal loading and unloading operation with noncrossing between the bridge cranes, safety distance constraints and deck opening and closing constraints, and propose a heuristic algorithm to reduce the moving distance of bridge cranes and equilibrate their loads
Summary
De nition 0-1 variable, if loading operations are nished at the same place ( , 2, 1) on train with the unloading operations by the same gantry crane , it is 1, otherwise, it is 0. Constraint (13) guarantees that the nishing time for unloading operation must be earlier than the start time of loading operation , if the loading and unloading operations are carried out on the same place ( , 2, 1) of the train by the same gantry crane. Constraint (14) explains the completion moment of unloading operation , must be earlier than the start time of loading operation , if the loading and unloading operations are carried out on the same truck by the same gantry crane.
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