关键词: 综合交通运输, 协同调度, 混合优化算法, 装卸设备, 高能效利用, 多式联运港站

Abstract:

With the increase of container throughput in intermodal terminals and the increased pressure on energysaving, the trade-off between operational efficiency and energy consumption by handling equipment need to be concerned. This paper addresses the handling scheduling problem of rail- water inbound containers, in order to improve the energy efficiency in intermodal terminals. Based on the hybrid flow shop scheduling problem (HFSS), a bi-objective integrated optimization model is proposed to minimize the total operation time and energy consumption in a three-stage handling operation among quay cranes (QCs), internal trucks (ITs) and reach stackers (RSs). A hybrid optimization algorithm that integrates the genetic algorithm and the simulated annealing algorithm is developed to solve the problem. Computational experiments are conducted to test the effectiveness of the model and the developed method. The result shows that the integrated scheduling optimization solution can be obtained while considering energy-efficiency.

Key words: integrated transportation, integrated scheduling, hybrid optimization algorithm, handling equipment, energy-efficiency, intermodal terminals