Study Of Scheduling Optimization Problem Of Key Logisticsequipment In Jumbo Airport Cargo Terminal

Air logistics is one of the driving force to promote the development of world economy under the background of the economic globalization. Due to the rapid and sustainable development of economy, the average annual growth rate of Chinese air logistics scale exceeds over 10% for the past few years, which brings both great opportunities and severe challenges to the correlated industries and researches. Airport cargo terminal is the ground processing nodes for the air cargo transportation. According to statistics, the processing time consumed by cargo staying at the cargo terminal accounts for 80% to the total air cargo transport time. Hence, improvement of the processing efficiency of cargo terminal is the key factor in air logistics efficiency raise. And the principal method to improve the processing efficiency of cargo terminal is increasing the work efficiency of the logistics equipment. In this thesis, advanced and reasonable intelligent optimization theory and method were applied to solve the scheduling optimization problem of key logistics equipment in jumbo airport cargo terminal.Based on massive, relevant and latest literature and research results, scheduling optimization theory and method for key logistics equipment in jumbo airport cargo terminal were systematically studied which was aimed to resolve the major problems in development and application of Chinese airport logistics equipment. Calculation models for different scheduling optimization problems of key logistics equipment in jumbo airport cargo terminal were proposed. Particle swarm optimization algorithm and virus genetic algorithm were applied as guiding thought to solve these problems. Then, instance analysis and simulation described in the thesis indicated the above-mentioned methods could effectively solve the scheduling optimization problem of key logistics equipment in airport cargo terminal. The rationality and validity of the research and technological innovation achievement referred in this thesis has been verified in the construction of some domestic jumbo international airport cargo terminal. The main content in the thesis are as followings:Problems existed in key logistics equipment in both domestic and overseas airport cargo terminal were deeply investigated, and the necessity of researching the scheduling optimization theory and method of key logistics equipment in jumbo airport cargo terminal was demonstrated. On the strength of the existing research and technology innovation results, a particle swarm optimization algorithm-based and virus genetic algorithm-based scheduling optimization thought and approach for key logistics equipment in airport cargo terminal was presented.Taking the single machine scheduling problem of elevating transport vehicle(ETV) as the research object, scheduling optimization problem under fixed or optimized inward and outward mode was investigated respectively. Nonlinear learning factor adjusting particle swarm optimization algorithm, sorted map coding, and segmented solutionof binary particle swarm method and nonlinear learning factor adjusting particle swarm method were designed and applied to the optimization of these two models.Taking the complex scheduling problems of ETV with one rail-double machine and one machine-double cargo as the research object, the multi-modeof in-out warehouse process, constraint handling and combinatorial optimization target setting were analyzed. Stochastic particle swarm methods with chaotic mapping and equipment-based sorted map coding were used to solve this kind of multi-mode problem.Taking the dynamic goods location optimization of automated warehouse with special structure in airport cargo terminal as the research object, virus genetic algorithm was employed, high-priority outbound task and overall system optimization index were proposed. The validity of algorithm was proved through convergence calculation of algorithm, simulation and practical system verification.The algorithmic validities were all confirmed though simulation and practical system verification in the above-mentioned problems solution.The research achievements were applied in the cargoterminal of Beijing Capital International Airport and Guangzhou Baiyun International Airport. The electronic information industry development fund projects "Large and medium-sized airport logistics services management system" given by Ministry of Industry and Information, and the major scientific and technological project "Complete equipment and system engineering key techniques research of large airport automated warehouse" given by Gansu Province provided important support and validation environment to this thesis.