| With the advent of the Internet economy,online consumption models such as online shopping have developed rapidly,making the consumer-oriented logistics industry a flashpoint in the logistics system.At present,e-commerce requires more and more timeliness of logistics,and urban distribution centers,as important facilities hubs in the logistics system,undertake the functions of the city's main inbound and outbound trunk routes,sorting,and transit,and have the ability to improve the stability of higher-level transit centers and reduce the operational pressure of lower-level terminal nodes.Therefore,taking the urban distribution center site selection and vehicle scheduling as the research object,comprehensively considering the central site selection,regional importance,vehicle scheduling,and time window constraints,etc.,constructing a multiobjective location model and vehicle scheduling simulation for urban distribution centers,and optimizing according to different goals and constraints,plays a vital role in the strategic management of logistics enterprises,and has a certain application background.Based on this,this thesis starts with the theoretical analysis of urban distribution center location and vehicle scheduling optimization,combined with the actual operation data of logistics enterprises,through the analysis of urban distribution center location problems,vehicle scheduling problems,Multi-Agent application problems The potential research field of integrated simulation of central location and vehicle scheduling based on Multi-Agent is found.The main research contents and results of this thesis are as follows:(1)The research object is the urban distribution center transportation network of logistics enterprises,a multi-objective,multi-influence factor urban distribution center location model is constructed,and the design algorithm considers the advantages and disadvantages of the center of gravity method and the clustering algorithm.The actual operation data of the logistics enterprises and the actual road network distance of the Data Map database are used to analyze the model and algorithm experimentally,and the final site selection scheme can effectively reduce the operation cost of the enterprise and improve the timeliness of distribution.(2)A multi-agent simulation model integrating center location and vehicle scheduling is established.On the basis of the first model,combined with the vehicle scheduling model,based on the multi-agent modeling technology in Anylogic simulation software,a corresponding simulation model was established.Considering the urban distribution center as a complex system,the overall function of the system is divided into corresponding modules,and each module is replaced with an agent and work together to complete the solution.The genetic algorithm and the actual operation data of the logistics enterprise are used to simulate the model,and the results are dynamically visualized to provide ideas for the strategic decision of the logistics enterprise.(3)Increasing the constraints of the delivery time window,a logistics vehicle emergency vehicle scheduling simulation model was established.On the basis of the second model,the communication and collaboration process between various agents is deeply studied,and the emergency vehicle scheduling problem of logistics enterprises under time window constraints is discussed,so that the model is more in line with the actual needs of logistics enterprises.Then use the designed algorithm and actual operation data to verify and analyze the model.Based on the model and simulation experiments constructed in this thesis,the location strategy of the urban distribution center can effectively optimize the operating cost of the logistics network.It also verifies the feasibility of the Multi-Agent technology applied in the field of vehicle scheduling simulation and is implemented for logistics enterprises urban distribution center location strategy and vehicle transportation provide an effective reference. |
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