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Research And Application Of Network Layout Planning Model For Urban Underground Logistics System

Posted on:2020-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhouFull Text:PDF
GTID:2439330578465121Subject:Engineering
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With the rapid development of urbanization and the universal coverage of electronic commerce,the traffic pressure brought by urban ground freight vehicles is increasing day by day,and a series of urban problems,such as traffic congestion and environmental deterioration,need to be solved.Benefit from the development of information technology and intelligent logistics,more and more experts and cities attach importance to the superiority of constructing urban underground logistics system.Urban underground logistics refers to the transfer of urban logistics activities to the underground,making use of urban underground space for the transmission of goods,using advanced information measure and automatic navigation systems to achieve a high degree of automation and accuracy of transport,The goal of its development is to construct a highly intelligent automated logistics distribution system in underground areas between different parts of the city,thereby alleviating the traffic pressure on the urban road surface,reducing the damage of goods,and improving the accessibility of urban logistics transmission.This paper uses the research method of combining theoretical research with empirical analysis.First,introducing the relevant theories of urban underground logistics,then expounds the types of underground logistics system and the composition of underground logistics network system.The model of underground logistics network layout,location target,principle and process is studied,and the network layout scheme of underground logistics system in this paper is determined.The main tasks are as follows:First of all,combined with the theory of network layout location,the paper analyzes the influencing factors of underground logistics network location,the index system of primary selection of underground logistics node is established from four aspects,and the index data is standardized treated with entropy weight method,and the weight of entropy weight of each evaluation index is obtained.Then combining the ideal solution method with the grey correlation degree method,the optimal and the worst reference samples are obtained,taking the sample as the comparative column,the correlation coefficient matrix is obtained,the relative paste progress value with the optimal sample is obtained,the inferior alternative point is excluded,and the primary scheme of underground logistics node is obtained.Secondly,combined with the primary points of underground logistics network layout,under the given assumptions and constraints,a dual-objective decision-making model with the lowest cost of transportation,processing and punishment is constructed,which takes the maximum degree of customer service as the objective function.Introducing the immune genetic algorithm(IGA)and the steps to solve the model are given.The model is solved by matlab.Finally,according to the present situation and development planning goal of New area A,this paper collects the relevant data and carries on the concrete example analysis.After getting the primary scheme of the layout node of the underground logistics network in New area A,the primary evaluation model and the double objective decision model are solved by using immune genetic algorithm,and the coordinate position and transportation volume of each cargo demand station are obtained.Ensure that the calculation is relatively scientific.Based on the network layout scheme of urban underground logistics system,this paper makes a planning model to promote the breakthrough development of urban intelligent logistics,and prove the importance of underground logistics network layout planning.The purpose and achievement of the research are to reduce the pressure of traffic and environment on the ground,to realize common and direct distribution,to improve the efficiency of urban logistics distribution,and to solve the problem of the last kilometer of the city.
Keywords/Search Tags:Urban underground logistics, Network layout location, Entropy weight method, Ideal solution, Grey correlation degree, Multi-objective decision making, Immune genetic algorithm
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