Research on Optimization of container Delivery Truck Appointment Considering No-showing and Carbon Emission

Abstract

The truck appointment system is to set the share of truck appointment according to service capacity of the terminal gate and yard bridge, so that the facilities and equipment of container terminal can be reasonably used; On this basis, considering the situation that there are no-shows in container truck delivery process, and analyzing the impact of different types of no-shows on the appointment system. With the goal of minimizing the system cost of container terminal losses, an overbooking appointment model based on the optimization of container truck appointment is constructed by queuing theory, and the no-show probability is considered to optimize the original appointment share. Then designing an adaptive genetic algorithm to solve the model and search for the optimal overbooking scheme. Finally, an actual data example is used to verify the validity of the model and algorithm, which proves that the overbooking appointment model of the truck can more effectively improve the utilization rate of the terminal's equipment resources, reduce the terminal's meaningless carbon emissions, and restrict the irregular arrival of truck.