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Study On Bengbu City Logistics Demand Forecasting Based On PCA-GA-SVM

Posted on:2018-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Q GaoFull Text:PDF
GTID:2359330518953956Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
With the supply side of the structural reform into the crucial stage,the logistics industry to enhance their own strength to adapt to the development of the times.Government departments timely and effective grasp of the development of logistics need with the supply side of the structural reform into the crucial stage,the logistics industry to enhance their own strength to adapt to the development of the times.Government departments in a timely and effective grasp of the development trend of logistics needs,analysis of various factors on the impact of the supply of logistics,will help optimize and improve the Bengbu City logistics service system.It is an important basis for rational construction of modern logistics system to forecast the logistics demand and logistics development trend of Bengbu City in the future,so that the logistics supply and logistics demand of Bengbu are matched.And only the combination of logistics demand and the city's overall spatial structure of the logistics facilities to implement a systematic and scientific planning,in order to achieve the goal of cost reduction.Therefore,this paper establishes the PCA-GA-SVM model to fit the logistics volume of Bengbu City,and provides a certain effective method for the government and enterprises.This paper introduces the concept and characteristics of logistics and its needs,and expounds the steps of logistics demand forecast.Secondly,taking the present situation of Bengbu City as the background,the author analyzes the current situation of logistics demand forecasting.And then compared with the contrast model.The results show that this method is based on the PAC-GA-SVM model,which is based on the comparison of the model.The progress of the model is better,which provides a new way for the forecast of logistics demand in Bengbu.This paper systematically analyzes the influencing factors of logistics demand in Bengbu City and constructs a reasonable index system.The forecasting model is used to forecast the road freight volume of Bengbu City,and it is reliable for the government departments to rationally utilize and allocate the logistics market resources Basis for the government to develop logistics policy to provide the basis for enterprises planning logistics products sales program to provide guidance.
Keywords/Search Tags:regional logistics, genetic algorithm, support vector machines, logistics demand forecasting
PDF Full Text Request
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