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Research And Implementation Of Logistics Information Management System Based On Node.js

Posted on:2020-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q G ZhuFull Text:PDF
GTID:2439330572971100Subject:Logistics Engineering
Abstract/Summary:PDF Full Text Request
Since the country implemented the reform and opening up policy,the economy of China has achieved sustained and rapid development,and the logistics industry has also made considerable progress.However,although the logistics industry of China has a good momentum of development,there are still many problems.On the one hand,the logistics industry costs are high,and the total cost of social logistics accounts for a high proportion of GDP.On the other hand,the traditional logistics management system and operational processes can no longer meet the requirements of the modern logistics industry.For enterprises,the backward logistics management concept and management system lead to an increase in operating and management costs,and also the company's entire logistics operation process cannot be combined with modern information technology.Therefore,enterprises urgently need a combination of their own business.Logistics information system that can reduce costs and increase efficiency.Based on the above background,combined with the actual logistics business needs of an e-commerce enterprise,this paper uses Node.js,MongoDB and other technologies to research and design a logistics information management system to improve the management efficiency and level of the enterprise and reduce the management cost.This paper studies the key technologies used in the logistics information management system,including Node.js architecture,MongoDB database technology,WebSocket two-way communication technology,and the basic principles and advantages of genetic algorithms.This paper analyzes the system requirements in detail from three aspects:feasibility analysis,system non-functional requirements and system functional requirements,and divides the system functions into specific functional modules.This paper focuses on the overall design of the system and the specific functional design of each module.The system uses Node.js and Koa framework as the background development architecture,and cooperates with MongoDB for data storage and reading.It implements the architecture mode of MVC-like,and uses Vue and Vue-router as the front-end development architecture to build a single-page web application.The paper then describes in detail the specific functional design of each functional module.This paper describes in detail the specific process of using Node.js back-end architecture and Vue technology to implement front-end system pages,and models,simulates and solves the picking path using genetic algorithm.Finally,the system was fully functionally tested and non-functionally tested.The system realized in this thesis has achieved the expected results and satisfies the requirements of the enterprise,so as to improve the logistics management efficiency and information management level and reduce the cost of the enterprise.
Keywords/Search Tags:logistics information management system, Node.js, MongoDB, SPA, genetic algorithm
PDF Full Text Request
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