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Research And Implementation Of Visualization Loading System For After-Sale Auto Parts

Posted on:2017-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y L WangFull Text:PDF
GTID:2308330485474164Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the rapid development of China’s automobile industry, the logistics industry of after-sale auto parts is also booming. Auto parts loading process is an important part in automobile after-sale logistics business. Using scientific method to optimize the allocation of resource in parts loading, and satisfying the demand of loading in different condition, is beneficial to improve loading efficiency, decrease cost of logistics, and strengthen enterprise competitive power.This research is in the background of a logistics collaborative monitoring system of parts center, aiming at founding a reasonable visualization loading system for after-sale auto parts. This system effectively formulate loading scheme according to actual requirement, and display loading results by visualization techniques, to meet the requirement of improving loading efficiency, decreasing loading and unloading cost, and instructing the loading operation in visible ways, thus to offer automobile manufacturers the most efficient technical support in cargo loading and scheduling problems. The main research contents are as follows:(1) Firstly we introduce the current situation of after-sale auto parts logistics business, analyze the existing problems in loading process, to acquire the specific requirement of this system, and propose the overall design scheme.(2) In viewing of different situation in after-sale parts loading, we design the loading algorithm based on dynamic programming and improved ant colony algorithm with neighborhood searching, to improve the efficiency of loading under the condition of multiple constraints. We verify the validation of the algorithm through experiment and specific cases.(3) According to characteristics of after-sale auto parts such as multi-type and multi-destination, in designing of the algorithm, we establish the mathematic model with 8 down-to-earth constraint conditions, and improve the searching efficacy using greedy algorithm and improved ant colony algorithm with neighborhood searching.(4) Through the analysis on the rules of functional design and implementation principle, the static and dynamic display of 3D graphics and the function of manual adjustment are implemented by using Three.js, which is an open source framework of third-party based on WebGL, in order to increase the flexibility of the system and guide the actual loading operation.(5) The system is designed in detail with three tier architecture theory, and the implementation of the system is verified and validated by the interface display for the main function.
Keywords/Search Tags:Parts logistics, Loading problem, Ant colony algorithm, Neighborhood search, Visualization, Three.js
PDF Full Text Request
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