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Agrochemical Product Logistics Network Planning Based On Big Data Analysis

Posted on:2020-12-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y JingFull Text:PDF
GTID:2428330590995801Subject:Logistics engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the logistics industry today,the planning of logistics outlets is crucial.The logistics network,that is,the node of the logistics network,is the connection point of each logistics line in the logistics network.The layout of the logistics network nodes has certain scientific nature,and it is necessary to adapt to local conditions and aim at the lowest total cost of logistics network planning.This paper proposes a logistics network planning system based on big data analysis by studying the traceable sales of agrochemical products and the planning characteristics of logistics outlets.The core modules of the system are big data analysis module and logistics network planning module.The big data analysis module is a distributed data analysis system based on Hadoop.After collecting,extracting and pre-processing the existing agrochemical products' traceability data and some agricultural data,the data is transmitted to the HDFS distributed file storage system,and the time series based method is used to find the trend existing in the data.And random components,these components will be further used for accurate agrochemical product traceability data analysis.A hybrid prediction model M-AK based on MapReduce is proposed to improve prediction accuracy and easily process linear nonlinear components.The logistics network planning module first analyzes the construction cost of the logistics network and establishes the logistics network planning model with the minimum cost.Then,the Voronoi diagram method is used to determine the logistics network area,and the distribution range of each node in the network is defined.Finally,the logistics network is optimized.And determine the assessment method of the logistics network layout.The logistics network planning system based on big data analysis designed in this paper uses advanced big data analysis method,which can make full use of the traceability data of agrochemical products.The model is efficient and reasonable,and the logistics network of complex regional logistics system is planned.Special superiority.
Keywords/Search Tags:Big data analysis, MapReduce, Time series analysis, Voronoi
PDF Full Text Request
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